Methods, apparatuses, and systems for providing print quality feedback and controlling print quality of machine readable indicia

Information

  • Patent Grant
  • 11900201
  • Patent Number
    11,900,201
  • Date Filed
    Tuesday, February 22, 2022
    2 years ago
  • Date Issued
    Tuesday, February 13, 2024
    9 months ago
Abstract
A printer-verifier system for providing print quality feedback and controlling print quality is provided. The printer-verifier system may include a printing mechanism configured to print a machine-readable indicia on a print media; a verifier device configured to optically scan the machine-readable indicia; and a print quality monitoring device in electronic communication with the printing mechanism and the verifier device.
Description
FIELD OF THE INVENTION

The present invention relates to printers, and more particularly, to methods, apparatuses, and systems for providing print quality feedback in response to verifying the print quality of printers and controlling the print quality of machine-readable indicia, including printed barcodes and printed OCR-B characters.


BACKGROUND

Applicant has identified many deficiencies and problems associated with existing printers. For example, a print error (or a “print quality problem”) may be introduced into the machine-readable indicia for many reasons. Print quality problems are particularly acute in the case of barcode printing, as the barcode encodes data in the width of the bar and space elements.


BRIEF SUMMARY

Various embodiments described herein relate to methods, apparatuses, and systems for providing print quality feedback and controlling print quality of machine-readable indicia.


In accordance with various embodiments, a printer-verifier system for providing print quality feedback and controlling print quality is provided. The printer-verifier system comprising: a printing mechanism configured to print a machine-readable indicia on a print media; a verifier device in electronic communication with the printing mechanism, the verifier device being configured to scan the machine-readable indicia on the print media; a print quality monitoring device in electronic communication with the printing mechanism and the verifier device, the print quality monitoring device being configured to: analyze the print quality of the machine-readable indicia on the print media; determine that the print quality of the machine-readable indicia does not meet predetermined quality standards; and in response to determining that the print quality does not meet the predetermined quality standards, instruct the printing mechanism to print diagnostic information on the print media.


In some embodiments, the diagnostic information comprises at least one of gray levels, ANSI grade levels, numeric ANSI grades, and bar width growth amounts.


In some embodiments, the print quality monitoring device is configured to utilize the diagnostic information to detect errors in the print quality.


In some embodiments, the diagnostic information comprises instructions defining an appropriate course of at least one corrective action, and the at least one corrective action comprises at least one of changing pressure that a printhead of the printing mechanism applies to the print media, changing a temperature of the printhead, cleaning the printhead, repairing the printhead, replacing the printhead, realigning the print media within the printing mechanism, and realigning a printer ribbon within the printing mechanism.


In some embodiments, the print media comprises at least one label, and the machine-readable indicia comprises at least one barcode.


In some embodiments, in response to determining that the print quality does not meet the predetermined quality standards, the print quality monitoring device is further configured to instruct the printing mechanism to print the diagnostic information over the machine-readable indicia on the print media.


In some embodiments, when analyzing the print quality of the machine-readable indicia on the print media, the print quality monitoring device is further configured to: identify a print quality problem associated with the machine-readable indicia; retrieve association data that associates each of a plurality of print quality problems with a plurality of prescribed corrective actions; and determine a prescribed corrective action from the plurality of prescribed corrective actions based on the association data.


In some embodiments, in response to determining that the print quality does not meet the predetermined quality standards, the print quality monitoring device is further configured to instruct the printing mechanism to print the prescribed corrective action on the print media.


In some embodiments, the machine-readable indicia comprises a printed barcode, and analyzing the print quality of the machine-readable indicia further comprises comparing one or more barcode quality parameters of the printed barcode and a barcode print quality standard.


In some embodiments, the one or more barcode quality parameters comprise a modulation parameter, and identifying the print quality problem further comprises identifying a modulation problem in the printed barcode in at least one of a picket fence orientation and a ladder orientation. In some embodiments, determining that the print quality of the machine-readable indicia does not meet the predetermined quality standards further comprises determining a modulation grade of the printed barcode fails to meet an acceptable modulation grade according to a printing application requirement.


In accordance with various embodiments, a method for providing print quality feedback and controlling print quality is provided. The method comprises: printing, by a printer-verifier apparatus, a machine-readable indicia on a print media; scanning, by the printer-verifier apparatus, the machine-readable indicia on the print media; analyzing, by the printer-verifier apparatus, the print quality of the machine-readable indicia on the print media; determining, by the printer-verifier apparatus, that the print quality of the machine-readable indicia does not meet predetermined quality standards; and in response to determining that the print quality does not meet the predetermined quality standards, printing, by the printer-verifier apparatus, diagnostic information on the print media.


In accordance with various embodiments, a printer verification device comprises a sensing device configured to optically sense an image printed onto print media within a printer. The printer verification device further comprises a quality analyzing device configured to analyze the print quality of the image printed onto the print media. A printer control device is configured to instruct a printing mechanism to print diagnostic information onto the print media when the quality analyzing device determines that the print quality does not meet predetermined quality standards.


In accordance with various embodiments, a printer is provided. The printer in this embodiment includes a printing mechanism configured to print images onto print media and a print verification device configured to monitor the print quality of the images printed onto the print media. The print verification device is configured to analyze the print quality to determine if the print quality meets predetermined quality standards. When the print verification device determines that the print quality does not meet the predetermined quality standards, the print verification device instructs the printing mechanism to print diagnostic information onto the print media.


In accordance with various embodiments, a method associated with a printer is provided. The method includes a first step of analyzing the print quality of a barcode printed by a printing mechanism onto a label. Another step includes determining if the print quality meets predetermined quality standards. The method also includes instructing the printing mechanism to print diagnostic information onto the label if the print quality does not meet the predetermined quality standards.


In accordance with various embodiments, a method is provided for controlling a print quality of a machine-readable indicium from a printer. An image of the machine-readable indicium is captured. The print quality of the machine-readable indicium from the captured image is evaluated. A print quality problem as a result of the evaluating step is identified. A prescribed corrective action to resolve the print quality problem is determined by retrieving association data that associates different print quality problems with a respective prescribed corrective action. The prescribed corrective action is caused to be implemented such that a next machine-readable indicium does not have the print quality problem. Data is generated from controlling the print quality of the machine-readable indicium. The association data is updated with the data and/or the data is collected and stored for use in printing process control.


In some embodiments, the method further comprises repeating the capturing and evaluating steps for each machine-readable indicium. In some embodiments, the method further comprises generating at least one diagnostics report.


In some embodiments, causing implementation of the prescribed corrective action comprises adjustment of a printhead temperature and a speed of the printer when the modulation problem of the printed barcode is in both the picket fence orientation and the ladder orientation; implementing an adjustment in printhead temperature when the modulation problem of the printed barcode is in the picket fence orientation only; and implementing an adjustment in print speed when the modulation problem is in the ladder orientation only.


In some embodiments, one of the barcode quality parameters comprises a defects parameter. Identifying the print quality problem comprises identifying defects in the printed barcode, and causing implementation of the prescribed corrective action comprises communication to a user of the printer to change print media for a next printed barcode.


In some embodiments, the machine-readable indicium comprises a printed OCR-B character and evaluating the print quality comprises: applying a binarization algorithm to the printed OCR-B character and comparing the printed OCR-B character after application of the binarization algorithm to a print quality standard.


In some embodiments, identifying a print quality problem comprises identifying the print quality problem in the printed OCR-B character by non-conformity of the printed OCR-B character with a Stroke Width Template described in ISO/IEC standard 30116.


In some embodiments, causing implementation of the prescribed corrective action comprises implementing an adjustment in at least one of print speed and printhead temperature if the printed OCR-B character does not conform with the Stroke Width Template by exceeding or being short of an outer character boundary of the Stroke Width Template and by communication to a user of the printer to change print media for next printed OCR-B character if the printed OCR-B character does not conform with the Stroke Width Template by having defects therein.


In some embodiments, the captured machine-readable indicium comprises a first captured image. The method further comprises: capturing the image of the next machine-readable indicium from same printer to obtain a second captured image; evaluating the print quality of the next machine-readable indicium from the second captured image; and verifying, after the prescribed corrective action has been implemented, that the next machine-readable indicium does not have the print quality problem, thereby determining that the prescribed corrective action resolved the print quality problem.


In accordance with various embodiments, a method is provided for controlling print quality of a printed barcode from a printer, according to various embodiments of the present invention. An image of the printed barcode from a printer is captured to obtain a captured image. The printed barcode is formatted in a picket fence orientation and in a ladder orientation. A print quality of the printed barcode is evaluated. A modulation problem in both the picket fence orientation and the ladder orientation of the printed barcode is identified as a result of the evaluating step. A prescribed corrective action is determined for improving a modulation grade of the printed barcode. Adjustment of the printer is caused to implement the prescribed corrective action to improve the modulation grade of a next printed barcode.


In some embodiments, causing adjustment of the printer to implement the prescribed corrective action comprises adjusting a printhead temperature for the next printed barcode in the picket fence orientation and adjusting a print speed of the printer for the next printed barcode in the ladder orientation.


In accordance with various embodiments, a method is provided for controlling print quality of a printed barcode from a printer, according to various embodiments of the present invention. An image of the printed barcode from a printer is captured (a captured image). A print quality of the printed barcode from the captured image is evaluated. A defect in the printed barcode is identified as a result of the evaluating step. A prescribed corrective action for decreasing defects in a next printed barcode is determined. The prescribed corrective action is communicated to a user of the printer.


In some embodiments, the printed barcode comprises one of: on same print media, a first one-dimensional printed barcode in the picket fence orientation and a second one-dimensional printed barcode in the ladder orientation, the modulation problem identified in both the first one-dimensional printed barcode and the second one-dimensional printed barcode; or a two-dimensional barcode.


In accordance with various embodiments, a method is provided for controlling print quality of a printed OCR-B character from a printer, according to various embodiments of the present invention. An image of the printed OCR-B character from a printer is captured to obtain a captured image. A print quality of the printed OCR-B character is evaluated by applying a binarization algorithm to the printed OCR-B character and comparing the printed OCR-B character after the binarization algorithm has been applied to a print quality standard. A print quality problem in the printed OCR-B character is identified as a result of the evaluating step. A prescribed corrective action is determined for improving a grade of the printed OCR-B character. Adjustment of the printer is implemented based on the prescribed corrective action to improve the grade of a next printed OCR-B character.


In some embodiments, evaluating the print quality comprises analyzing one or more barcode quality parameters of the printed barcode from the captured image and comparing the results against a barcode print quality standard, wherein one of the barcode quality parameters comprises a defects parameter; identifying the defect in the printed barcode comprises identifying that defects grade of the printed barcode fails to meet an acceptable defects grade according to a printing application requirement; and determining the prescribed corrective action comprises retrieving association data that specifically associates a failure to meet the acceptable defects grade with the prescribed corrective action.


In some embodiments, communicating the prescribed corrective action to the user of the printer comprises communicating that the prescribed corrective action comprises at least one of changing print media and cleaning a printhead.


The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the invention, and the manner in which the same are accomplished, are further explained in the following detailed description and its accompanying drawings.





BRIEF DESCRIPTION OF THE DRAWINGS

The description of the illustrative embodiments may be read in conjunction with the accompanying figures. It will be appreciated that for simplicity and clarity of illustration, elements illustrated in the figures have not necessarily been drawn to scale. For example, the dimensions of some of the elements are exaggerated relative to other elements. Embodiments incorporating teachings of the present disclosure are shown and described with respect to the figures presented herein, in which:



FIG. 1 depicts a plurality of exemplary printed barcodes, where the printed barcode on each individual print media comprising a first one-dimensional barcode in a picket fence orientation and a second one-dimensional barcode in a ladder orientation;



FIG. 2 depicts an exemplary printed barcode (a portion of a QR Code) comprising a two-dimensional barcode formatted in both the picket fence orientation and the ladder orientation;



FIG. 3 schematically depicts a block diagram of a system for controlling the print quality of machine-readable indicia, including an imaging module communicatively coupled to a printer, according to various embodiments of the present invention;



FIG. 4 schematically depicts a block diagram of the printer communicatively coupled to an exemplary verifier that is depicted as capturing an image of an exemplary machine-readable indicium (an exemplary printed one-dimensional barcode), according to various embodiments of the present invention;



FIG. 5 schematically depicts a block diagram of a printer-verifier, including the imaging module, for controlling the print quality of an exemplary machine-readable indicium (an exemplary printed barcode) in accordance with various embodiments of the present invention;



FIG. 6 graphically illustrates a portion of an exemplary printer/printer-verifier in accordance with various embodiments of the present invention, where a cover of the printer/printer-verifier is removed to illustrate an interior of the printer/printer-verifier;



FIG. 7 is a flow diagram depicting a method for controlling the print quality of a machine-readable indicium in accordance with various embodiments of the present invention;



FIGS. 8A, 8B, and 8C graphically depict the steps in a method for controlling the print quality of a printed OCR-B character in accordance with various embodiments of the present invention;



FIGS. 8D, 8E, and 8F graphically depict exemplary print quality problems of the printed OCR-B character of FIG. 8A, according to various embodiments of the present invention;



FIG. 9 schematically depicts a perspective view of a label printer, according to various embodiments of the present invention;



FIG. 10 schematically depicts a perspective view of a printing and verifying apparatus, according to various embodiments of the present invention;



FIG. 11 schematically depicts a block diagram of a printing and verifying device, according to various embodiments of the present invention;



FIG. 12 schematically depicts a block diagram of a print verification device, according to various embodiments of the present invention;



FIGS. 13A, 13B, 13C, and 13D schematically depict views of an exemplary printed label analyzed by a verifying device, according to various embodiments of the present invention;



FIGS. 14A, 14B, 14C, and 14D schematically depict views of another exemplary printed label analyzed by a verifying device, according to various embodiments of the present invention; and



FIG. 15 schematically depicts a flow diagram of a method for providing print verification information, according to various embodiments of the present invention.





DETAILED DESCRIPTION OF THE INVENTION

Some embodiments of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the disclosure are shown. Indeed, these disclosures may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Like numbers refer to like elements throughout.


The phrases “in one embodiment,” “according to one embodiment,” and the like generally mean that the particular feature, structure, or characteristic following the phrase may be included in at least one embodiment of the present disclosure, and may be included in more than one embodiment of the present disclosure (importantly, such phrases do not necessarily refer to the same embodiment).


The word “example” or “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any implementation described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other implementations.


If the specification states a component or feature “may,” “can,” “could,” “should,” “would,” “preferably,” “possibly,” “typically,” “optionally,” “for example,” “often,” or “might” (or other such language) be included or have a characteristic, that a specific component or feature is not required to be included or to have the characteristic. Such component or feature may be optionally included in some embodiments, or it may be excluded.


Various embodiments of the present invention will be described in relation to a thermal transfer printer. However, the present invention may be equally applicable to other types and styles of printers (inclusive of printer-verifiers) (e.g., a thermal direct printer, a laser toner printer, an ink drop printer, etc.).


As used herein, the term “printer” refers to a device that prints barcodes, OCR-characters, text, illustrations, etc. onto print media (e.g., labels, tickets, plain paper, synthetic paper, receipt paper, plastic transparencies, and the like). Unless otherwise indicated, the term “printer” encompasses printers with or without an integrated verifier. The print media may be continuous or non-continuous.


As used herein, the terms “machine-readable indicia,” “machine-readable indicium,” “barcode” and “OCR-B character” refer to an optical representation of data (e.g., data is encoded into the barcode and OCR-B character) that may be scanned (i.e., machine read) by a machine-reader. There are many types of barcodes and OCR-B characters for many applications. Barcodes may be one-dimensional barcodes (e.g., Universal Product Code, U.P.C.) having dark lines (i.e., bars) and light lines (i.e., spaces) of various widths arranged along a scan axis. Barcodes may be two-dimensional matrix symbols (e.g., Aztec Code, Data Matrix, QR Code), PDF417, etc.) (herein a “two-dimensional barcode”) having a two-dimensional array of light features, dark features, and (in some cases) alignment features. The light and dark features may include “modules”, i.e., the printed (or unprinted) squares in a two-dimensional matrix symbol. An exemplary two-dimensional barcode (e.g., QR Code) is partially depicted in FIG. 2. The graphical look of a two-dimensional barcode is created by different patterns of geometric shapes. Some barcodes may use color (e.g., Ultracode) to encode data. OCR-B characters also encode data and include “modules” (i.e., printed or unprinted squares).


Barcodes and OCR-B characters are printed on the print media. Once printed on a print media, the barcode is referred to herein as a “printed barcode.” Similarly, the OCR-B character is referred to herein as a “printed OCR-B character” once printed on a print media. The print media on which the machine-readable indicium is printed may also be referred to herein as a “printed medium.” The printed medium may be affixed to an item. For example, the encoded data of the printed barcode may relate to the item(s) on which the printed medium is affixed. The terms “barcode” and “symbol” may be used interchangeably herein.


The tolerance of the machine-readable indicia is closely related to the machine reader's ability to read the printed indicium (e.g., a printed barcode) in a single scan, and to correctly interpret the encoded data. Additionally, a “machine-readable indicium” or “machine-readable indicia” (such as a OCR-B character) may suffer from a print quality problem such that it is not actually machine readable.


I. Example Apparatus for Implementing Embodiments of the Present Invention

Embodiments of the present invention may be implemented as apparatus and systems for providing print quality feedback and controlling print quality of machine-readable indicia.


A. Print Media and Machine Readable Indicia


Referring to FIG. 1, an exemplary print media 102 is shown according to various embodiments of the present invention. On the exemplary print media 102, machine-readable indicia (e.g. barcodes 104a and 104b) may be printed to create a printed medium 106.


The quality of the printed barcodes 104a and 104b depends in part on the orientation of the printed barcodes 104a and 104b on the print media 102 (e.g., the label orientation) and the printing direction of the printed barcodes 104a and 104b.


When the bars of a one-dimensional linear barcode (e.g. the barcode 104a) are parallel to the movement of the print media stock through the printer, this is referred to as printing the barcode 104a as a “picket fence.” As illustrated in FIG. 1, the printed barcode 104a comprises a first one-dimensional barcode. When the bars of the one-dimensional (linear) barcode (e.g. the barcode 104b) are perpendicular to the direction of the print media stock through the printer, this is referred to as printing the barcode 104b as a “ladder” because, if positioned vertically, the printed barcode 104b resembles a ladder. As illustrated in FIG. 1, the printed barcode 104b comprises a second one-dimensional barcode.


Further, as shown in FIG. 1, the first one-dimensional barcode 104a and the second one-dimensional barcode 104b are printed on the same print media 102. For purposes of discussing modulation problems in both directions or orientations hereinafter, “a printed barcode” may comprise the first one-dimensional barcode 104a and the second one-dimensional barcode 104b printed on the same print media 102.


Referring to FIG. 2, a two-dimensional printed barcode 104c (a QR Code) is shown. The two-dimensional printed barcode 104c incorporates both vertical and horizontal dimensions, where the picket fence orientation refers to the print direction in which the modules are arranged perpendicular to the movement of the print media, and the ladder orientation refers to the print direction in which the modules are arranged parallel to the movement of the print media. In FIG. 2, features of the two-dimensional printed barcode 104c in the picket face orientation are identified with the letter “A,” and the features in the ladder orientation are identified with the letter “B.”


B. Printer and Printer-Verifier


Referring now to FIGS. 3 to 6, exemplary apparatuses and systems for controlling the print quality of machine-readable indicia (such as printed barcodes 104a and 104b) and printed OCR-B characters are depicted in accordance with various embodiments of the present invention.



FIGS. 3-5 are block diagrams illustrating different embodiments of the printer and printer-verifier in accordance with the present invention.


Referring now to FIG. 3, the system 300 comprises a printer 301 communicatively coupled to an imaging module 302. While the imaging module 302 is depicted in FIG. 3 as a separate device, it is to be understood that the imaging module 302 may be disposed in a separate verifier that is attached to the printer 301, or is a standalone device to where the user brings the printed indicia for verification. In either case, the verifier is communicatively coupled to the printer 301.


As shown in FIG. 3, the imaging module 302 is configured to capture an optical image of the machine-readable indicium (such as the printed barcode 304) within a field of view 306. The printed barcode 304 is printed on the print media 314.


Referring back to FIG. 3, the processor 322 is communicatively coupled to the memory 308, and may be configured by a print quality verification program to execute the steps of example methods of the present invention (such as methods 700 and 1500 as hereinafter described). The graphical user interface (GUI) 312 may display visual and/or auditory information and receiving information from the user. The printer 301 may be communicatively connected to a computer or a network 318 via a wired or wireless data link using the communications module 310.


Referring now to FIG. 4, the system 400 comprises a printer 401 communicatively coupled to a verifier 402. The verifier 402 comprises an imaging module 410, a verifier processor 405, an I/O module 407, a verifier memory 409, and a communication module 411.


The imaging module 410 may further comprise an image sensor 403. The image sensor 403 uses an imaging lens (or lenses) to form a real image of the field of view 406 on an array of photo sensors (e.g., a linear or 2D array CCD, CMOS sensor, CIS, etc.). Electronic signals from the photo sensors are used to create gray level or color images, e.g., which would result in a digital image that may be obtained by a digital camera. The image sensor 403 is configured to capture an optical image of the machine-readable indicium (such as the printed barcode 404) within the field of view 406. The printed barcode 404 is printed on a print media 408.


As shown in FIG. 4, the verifier 402 may also comprise a memory (verifier memory 409) electrically connected to the imaging module 410 and a central processing unit (CPU) (herein a “verifier processor” 405). The verifier 402 may further comprise an I/O module 407 and a verifier communications module 411. The subsystems in the verifier 402 of FIG. 4 are electrically connected via a coupler (e.g., wires, traces, etc.) to form an interconnection subsystem. The interconnection system may include power buses or lines, data buses, instruction buses, address buses, etc., which allow operation of the modules/subsystems and the interaction there between. The I/O module 407 may include a verifier graphical user interface. In various embodiments, the verifier 402 may be communicatively connected using the verifier communications module 411 to the computer or the network 418 via a wired or wireless data link. In a wireless configuration, the communication module may communicate with a host device over the network via a variety of communication protocols (e.g., WI-FI®, BLUETOOTH®, CDMA, TDMA, or GSM).


While FIG. 4 depicts a verifier memory 409 and a processor 405 in the verifier 402, it is to be understood that only the printer 401 or only the verifier 402, or both the printer 401 and verifier 402 communicatively coupled thereto may comprise the memory and the processor for executing the steps as hereinafter described, i.e., at least one of the verifier and the printer comprises a memory communicatively coupled to the imaging module and a processor communicatively coupled to the memory.


Referring now to FIG. 5, the system 500 comprises a printer-verifier 501 with an imaging module 502 disposed in the printer-verifier 501 itself. When an imaging module is disposed in a printer, the printer is also referred to as a “printer-verifier” hereinafter. The imaging module 502 may comprise an image sensor 504 configured to capture an optical image of the machine-readable indicium (such as the printed barcode 503) on a print media 507 within a field of view 505, similar to the image sensor 403 described above in connection with FIG. 4.


The imaging module 502 is further in electronic communication with the processor 506, the graphical user interface (GUI) 510, the memory 508, and the communication module 512. The GUI 510 may display visual and/or auditory information and receiving information from the user. The printer-verifier 501 may be communicatively connected to a computer or a network 518 via a wired or wireless data link using the communication module 512.


As shown by comparing FIG. 5 (printer-verifier 501) with FIG. 3 (printer 301), the printer 301 and printer-verifier 501 may include the same components other than inclusion of the imaging module 502 in the printer-verifier 501. The printer 301 and the printer-verifier 501 are capable of printing machine-readable indicium on the print media.


In accordance with various embodiments of the present invention, the printer-verifier 501 depicted in FIG. 5 is configured to both print the machine-readable indicium and control (via the processor 506 of printer-verifier) the print quality of the machine-readable indicium by executing the method steps according to various embodiments as hereinafter described. More specifically, the printer-verifier 501 utilizes the imaging module 502 for capturing an image of the machine-readable indicium on print media. The memory 508 is communicatively coupled to the imaging module 502 and configured to store a print quality verification program. The processor 506 is communicatively coupled to the memory 508 and configured by the print quality verification program to execute the method steps according to various embodiments of the present invention in order to control the print quality of the machine-readable indicium


In accordance with various embodiments of the present invention, when the verifier is attached to the printer, the verifier may rely on the memory and the processor of printer for executing the steps as hereinafter described. In embodiments where the verifier is a standalone device, the verifier has its own verifier memory and processor for executing the steps as hereinafter described.


Additionally, or alternatively, the printer may rely on the memory and processor of verifier attached to the printer for executing the steps as hereinafter described. Therefore, the processor in at least one of the printer and the verifier (or in the printer-verifier) is configured by the computer program to execute the steps as hereinafter described.


Referring now to FIG. 6, the printer/printer-verifier 600 has a body 602 for enclosing the interior thereof. The printer/printer-verifier 600 further comprises a power source and a moveable cover (removed in FIG. 6 for the purpose of illustration) for accessing the interior thereof. In some embodiments, the printer/printer-verifier 600 may include an integrated verifier as described above. In some embodiments, the printer/printer-verifier 600 may be in electronic communication with a separated verifier.


The printer/printer-verifier 600 (for example, a thermal transfer printer/thermal transfer printer-verifier) may comprise a ribbon supply spindle 604 contained within the body 602. A ribbon supply roll 606 is configured to be disposed on the ribbon supply spindle 604. The ribbon supply roll 606 comprises ink ribbon 608 on a ribbon supply spool 610. The ink ribbon supplies the media (e.g., ink) that transfers onto the print media.


The printer/printer-verifier 600 may further comprise a thermal printhead 613 utilized to thermally transfer a portion of ink from the ink ribbon 608 to the print media 601 as the ink ribbon is unwound from the ribbon supply spool 610 along a ribbon path (arrow B in FIG. 6) and the print media 601 is unwound from a media supply spool 618 along a media path (arrow C in FIG. 6).


The media supply roll 616 comprises the print media 601 on the media supply spool 618. A media supply spindle 614 on which the media supply roll 616 is configured to be disposed is contained within the body 602. A ribbon rewind spindle 620 on which unwound ribbon is wound up may also be contained within the body 602. A ribbon take-up 622 may be disposed on the ribbon rewind spindle 620, although the ribbon take-up 622 on the ribbon rewind spindle 620 may not be necessary.


The printer/printer-verifier 600 may further comprise one or more motors for rotating the ribbon supply spindle 604 and the ribbon roll disposed thereon (if present) in a forward (arrow A in FIG. 6) or a backward rotational direction (dependent on the ink surface) for rotating the media supply roll 616 disposed on the media supply spindle 614 in a forward rotational direction, and for rotating the ribbon rewind spindle 620. In the direct transfer printer/direct transfer printer-verifier, the ribbon supply spool, the ribbon rewind spool, and the ribbon may be eliminated, and a thermally sensitive paper may replace the print media.


The printer/printer-verifier 600 may further comprise a graphical user interface (GUI) 623 for displaying visual and/or auditory information and receiving information from the user (e.g., typed, touched, spoken, etc.). The body 602 of the printer/printer-verifier 600 may include the graphical user interface 623 with, for example, a display 624 and a keypad 626 with function buttons 630.


Further, similar to those embodiments described above in connection with FIGS. 3-5, the printer/printer-verifier 600 further comprises a central processing unit (CPU) 632 (herein a “processor”) communicatively coupled to a memory, and a communications module. The central processing unit (CPU) 632 is the electronic circuitry within a computer that carries out the instructions of a program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions as hereinafter described. The printer/printer-verifier 600 may be communicatively connected using the communications module to a computer or a network via a wired or wireless data link. In a wireless configuration, the communications module may communicate with a host device over a network via a variety of communication protocols (e.g., WI-FI®, BLUETOOTH®, CDMA, TDMA, or GSM). In accordance with various embodiments of the present invention, the processor 632 is communicatively coupled to the memory and may be configured by a print quality verification program to execute the steps of methods 700 and 1500, as hereinafter described.


II. Example Method for Implementing Embodiments of the Present Invention

Embodiments of the present invention may be implemented as methods for providing print quality feedback and controlling print quality of machine-readable indicia.


It will be understood that each block of the flowchart, and combinations of blocks in the flowchart, may be implemented by various means, such as hardware, firmware, one or more processors, circuitry and/or other devices associated with execution of software including one or more computer program instructions. For example, one or more of the procedures described herein may be embodied by computer program instructions. In this regard, the computer program instructions which embody the described procedures may be stored by the verifier memory of a printing and verifying system employing an embodiment of the present disclosure and executed by a processor in the printing and verifying system.


As will be appreciated, any such computer program instructions may be loaded onto a computer or other programmable apparatus (e.g., hardware) to produce a machine, such that the resulting computer or other programmable apparatus provides for implementation of the functions specified in the flowcharts' block(s). These computer program instructions may also be stored in a non-transitory computer-readable storage memory that may direct a computer or other programmable apparatus to function in a specific manner, such that the instructions stored in the computer-readable storage memory produce an article of manufacture, the execution of which implements the function specified in the flowcharts' block(s). The computer program instructions may also be loaded onto a computer or other programmable apparatus to cause a series of operations to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide operations for implementing the functions specified in the flowcharts' block(s). As such, the operations of FIGS. 7 and 15, when executed, convert a computer or processing circuitry into a specific machine configured to perform an example embodiment of the present invention. Accordingly, the operations of FIGS. 7 and 15 define algorithms for configuring a computer or processor, to perform an example embodiment. In some cases, a general-purpose computer may be provided with an instance of the processor which performs the algorithms of FIGS. 7 and 15 to transform the general-purpose computer into a specific machine configured to perform an example embodiment.


Accordingly, blocks of the flowchart support combinations of means for performing the specified functions and combinations of operations for performing the specified functions. It will also be understood that one or more blocks of the flowchart, and combinations of blocks in the flowchart, can be implemented by special purpose hardware-based computer systems which perform the specified functions, or combinations of special purpose hardware and computer instructions.


A. Controlling Print Quality


A verifier may determine, in a verification process, whether the machine-readable indicia meets print quality standards. The verifier automates the verification process by capturing an image of the machine-readable indicia (or indicium), and evaluating the machine-readable indicium in the captured image according to a print quality standard. If the machine-readable indicium fails to meet the print quality standard, the rejected printed medium may be retracted back into the printer and branded with the word “void”, after which a next machine-readable indicium is printed by the printer.


The user may adjust the printer in an effort to correct the print quality problem for the next machine-readable indicium, but the correction may or may not be successful, in addition to taking time. The end result is that more than one unusable printed medium may be printed. In addition, the verifier may be attached to the printer or used as a standalone device to where the user brings the machine-readable indicium and indicia for verification. In the case of a standalone device, branding the word “void” may not occur.


Therefore, a need exists for methods for controlling print quality of machine-readable indicia including printed barcodes and OCR-B characters. A further need exists for increasing a modulation grade and/or a defects grade of succeeding printed barcodes, including a next printed barcode. An additional need exists for increasing a grade of succeeding printed OCR-B characters, including a next printed OCR-B character. A still further need exists for methods for controlling print quality of machine-readable indicia to automatically adjust the quality of succeeding machine-readable indicia and generate data for long-term printing process control.


Various embodiments of the present invention embrace methods for controlling print quality of machine-readable indicia such as printed barcodes and printed OCR-B characters. Various embodiments may be particularly useful for substantially correcting poor modulation (i.e., improving a modulation grade) in a next printed barcode in at least one of a picket fence orientation and a ladder orientation, and substantially correcting printing defects (i.e., improving a defects grade) in the next printed barcode, and plotting/analyzing the captured data for long-term printing process control. Improving a modulation grade and/or a defects grade respectively comprises “substantially correcting” the modulation problem and defects problem. Various embodiments are useful for improving a grade of a next printed OCR-B character, and enable automatic diagnosis of the print quality problem and automatic adjustments as a corrective action in response to identification of the print quality problem.


Referring now to FIG. 7, according to various embodiments of the present invention, a method 700 for controlling a print quality of a machine-readable indicium from the printer is disclosed.


The method 700 begins by capturing an image of the machine-readable indicium (at step 702). As noted above, the image is captured by an imaging module (for example, imaging module 302) of a verifier (either a separate verifier or a printer-verifier). The machine-readable indicium may be a printed barcode or a printed OCR-B character.


For example, the printed barcode may be a one-dimensional barcode (e.g., FIG. 1). In this case, the printed barcode may comprise, for example, a first one-dimensional printed barcode 104a in the picket fence orientation and a second one-dimensional printed barcode 104b in the ladder orientation on the same print media as shown in FIG. 1. As another example, the printed barcode may be a two-dimensional barcode such as depicted in FIG. 2.


Referring now to FIG. 8A, a captured image 800 of an exemplary printed OCR-B character 802a is depicted. The captured image 800 of the exemplary printed OCR-B character 802a may be, for example, a high-resolution gray level image.


Referring back to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer continues by evaluating the print quality of the machine-readable indicium from the captured image (step 704).


The step of evaluating the print quality of the machine readable indicium from the captured image, in the case of a printed barcode, comprises analyzing one or more barcode quality parameters of the printed barcode from the captured image (more particularly, a quality level achieved for each assessed parameter), and comparing the results against a barcode print quality standard such as a barcode print quality standard set forth in the ISO/IEC 15415, 29158, or 15416 barcode print quality test specifications.


The parameters of barcode quality affect the quality of the printed barcode and are based on the optics of bar code scanning systems. Barcode print quality parameters may include, among other parameters, a modulation parameter and a defects parameter. Each quality parameter will indicate Pass, Fail, or a grade. Both the modulation parameter and the defects parameter may be graded. In this regard, various embodiments of the present invention improve a modulation/defects grade of a printed barcode to “substantially correct” an identified modulation problem.


In addition to evaluating barcode print quality for meeting a print quality standard based on, for example, ANSI/CEN/ISO guidelines, the evaluation of barcode quality includes matching a printing application requirement such as a customer specification. Depend on the printing application requirement, higher or lower modulation grades and/or defects grades may be required.


The step of evaluating the print quality of the machine-readable indicium from the captured image, in the case of a printed OCR-B character (such as the exemplary printed OCR-B character 802a of FIG. 8A), may further comprise applying a binarization algorithm to the printed OCR-B character in the captured image and comparing the printed OCR-B character after the binarization algorithm has been applied to a print quality standard, such as ISO/IEC 30116 (more particularly, overlaying a Stroke Width Template (such as exemplary Stroke Width Template 804 as described in print quality standard ISO/IEC 30116) on the printed OCR-B character).



FIG. 8B depicts the exemplary printed OCR-B character 802a of FIG. 8A after the binarization algorithm has been applied and is now referred to with the reference numeral 802b. The binarization algorithm described in ISO/IEC 30116 is incorporated herein by reference in its entirety. In general, the binarization algorithm is described as follows:














Start by creating a histogram of the defined grey-scale


values in the defined region and proceeds as follows:


 1. Initialize the variable minVariance to a very large number


 and initialize Tmin and Tmax to zero.


 2. For every grey-scale value, “t,” starting from the lowest


 grey-scale value to the highest grey-scale value


 (0 to 255 for an 8-bit image sensor),


  a. Compute the mean and variance of pixels below t and


  call it MeanDark and VarianceDark


  b. Compute the mean and variance of pixels above or


  equal to t and call it MeanLight and VarianceLight


  c. Compute Variance = VarianceLight + VarianceDark.


  d. If Variance < minVariance, save Variance in minVariance


  and save t in Tmin


  e. If Variance = minVariance save t in Tmax.


   Note: The step e is used to break ties. Tmin is the smallest


   grey-level where the variance is the minimum and Tmax is the


   largest grey-level where the variance is the same minimum.


 3. Optimal threshold T = (Tmin + Tmax) / 2.










FIG. 8C depicts the exemplary printed OCR-B character after the binarization algorithm has been applied (printed OCR-B character 802b) and overlaid with the exemplary Stroke Width Template 804. A grade of the printed OCR-B character 802a is determined by penalizing the character for every black module outside an outer character boundary 806a of the Stroke Width Template and every white module inside an inner character boundary 806b of the Stroke Width Template.


Various embodiments of the present invention are directed to improving the grade of the printed OCR-B character to “substantially correct” an identified print quality problem as hereinafter described. The exemplary printed OCR-B character 802a of FIG. 8A would receive a good grade. If the printed OCR-B character receives a good grade (or at least an acceptable grade), no corrective action is taken. However, print quality data may be retained for subsequent analysis. If the grade is trending toward a poor grade, corrective action may be initiated prior to printing a next printed medium with the poor grade.


Referring back to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the printed barcode from the printer continues by determining whether there is a print quality problem at step 705. If no, then the method 700 may repeat the capturing and evaluating steps for each machine-readable indicium (step 722). If there is no more machine-readable indicium to capture, the method 700 may stop.


If there is print quality problem identified at step 705, the method 700 may identify the particular print quality problem in step 706. In accordance with some embodiments of the present invention, as used herein, “identifying a print quality problem” in step 706 may incorporate the step of detecting a print quality problem in step 705.


In various embodiments, identifying a print quality problem may comprise identifying a modulation problem in the printed barcode having at least one of a picket fence orientation and a ladder orientation. The modulation problem is identified when a modulation grade of the printed barcode fails to meet an acceptable modulation grade according to the printing application requirement. In various embodiments, a printed barcode in the picket fence orientation, the ladder orientation, or in both the picket fence orientation and the ladder orientation may have a modulation problem. As noted above, the printed barcode in both the picket fence orientation and the ladder orientation may comprise, on the same print media, a first one-dimensional printed barcode in the picket fence orientation (printed barcode 104a in FIG. 1) and a second one-dimensional printed barcode in the ladder orientation (printed barcode 104b in FIG. 1) or a single two-dimensional printed barcode (FIG. 2). When a modulation problem is identified in a one-dimensional printed barcode in both the picket fence orientation and the ladder orientation, the modulation problem is identified in both the first one-dimensional printed barcode 104a and in the second one-dimensional printed barcode 104b on the same print media (e.g. FIG. 1).


Modulation is based on the relationship between the minimum edge contrast and the symbol (barcode) contrast (ECmin/SC, wherein ECmin=Edge Contrast Minimum and SC=Symbol Contrast). The greater the difference between minimum edge contrast and symbol contrast, the lower the modulation grade. Stated another way, modulation is related to how a machine-reader “sees” different elements (bars or spaces in a one-dimensional barcode) relative to one another as well as the light and dark features (e.g., the modules) of two-dimensional barcodes as represented by reflectance values. For the same element, readers usually “see” spaces narrower than bars, and they also see narrow elements as being less distinct than wide ones. A scan reflectance profile typically shows narrow spaces being less intense or not as reflective as wide spaces, and narrow bars as being less dark than wide bars.


In accordance with various embodiments, identifying a print quality problem may comprise identifying a defect in the printed barcode. Defects are irregularities in bars, spaces and quiet zones of one-dimensional barcodes and irregularities in the light and dark features of two-dimensional barcodes (e.g., a “spot” in a space or a “void” in a bar). Defects are measured based upon the relationship between the largest defect in the symbol (printed barcode) and the symbol contrast (ERNmax/SC, wherein ERNmax=Element Reflectance Non-uniformity and SC=Symbol Contrast). The smaller the defect, the better the defect grade.


Referring now to FIGS. 8D, 8E, and 8F, according to various embodiments of the present invention, identifying a print quality problem in a printed OCR-B character comprises identifying that the printed OCR-B does not conform with the Stroke Width Template as described in ISO/IEC standard 30116.


For example, FIG. 8D depicts a printed OCR-B character identified as having a print quality problem because the character exceeds the outer character boundary 806a (top and bottom of the character) of the Stroke Width Template. While a printed OCR-B character exceeding the outer character boundary 806a of the Stroke Width Template is shown as an example of a printed OCR-B character identified as having a print quality problem, it is to be understood that a printed OCR-B character that is short of the outer character boundary 806a may also be identified as having a print quality problem.



FIG. 8E depicts an exemplary printed OCR-B character that exceeds the outer character boundary 806a of the Stroke Width Template in different locations (left and right) than the printed OCR-B character of FIG. 8D.



FIG. 8F depicts an exemplary printed OCR-B character identified as having a print quality problem because of white “voids” inside the inner character boundary 806b of the Stroke Width Template and black “spots” outside the outer character boundary 806a of the Stroke Width Template (collectively referred to as “defects”). These and other non-conformities of the printed OCR-B character with the Stroke Width Template described in ISO/IEC 30116 standard are recognized print quality problems that may occur in a printed OCR-B character.


Referring back to FIG. 7, in accordance with various embodiments of the present invention, the method 700 for controlling print quality of a printed barcode from a printer may further comprise generating a notice to a user of the printer indicating that a print quality problem has been identified (step 708). While step 708 is depicted in FIG. 7 as being performed immediately after step 706, it is to be understood that the notice may be generated at any time following identification of the print quality problem (e.g., before printing of the next machine-readable indicium or after any of steps 710, 712, 714, 716, and 718). The notice may be provided to the user in any manner.


Still referring to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer continues by determining a prescribed corrective action to substantially correct the (identified) print quality problem (step 710) in the next machine-readable indicium. Determining the prescribed corrective action comprises retrieving association data (from a memory of the printer, a memory of the verifier, or both, or from a memory of the printer/printer-verifier 600) that associates different print quality problems with a respective prescribed corrective action.


For example, a modulation problem in the printed barcode having both a picket fence orientation and a ladder orientation may be associated with the prescribed corrective action of adjusting the printhead temperature and adjusting the speed of the printer. A modulation problem in the printed barcode having a picket fence orientation may be associated with the prescribed corrective action of adjusting the printhead temperature. A modulation problem in the printed barcode having a ladder orientation may be associated with the prescribed corrective action of adjusting the print speed. A defects problem may be associated with a prescribed corrective action of changing the print media (e.g., to a higher quality print media) for the next printed barcode.


The prescribed corrective action associated with the modulation problem improves the modulation grade of the next printed barcode. The prescribed corrective action associated with the defect problem improves the defect grade.


As used herein, improvement in the modulation grade and/or defects grade comprises “substantial correction” of the print quality problem. A print quality problem in the printed OCR-B character (such as depicted in FIG. 8D) may be associated with the prescribed corrective action of adjusting the print speed. A print quality problem in the printed OCR-B character such as depicted in FIG. 8E may be associated with the prescribed corrective action of adjusting printhead temperature and the print speed. A print quality problem in the printed OCR-B character such as depicted in FIG. 8F may be associated with the prescribed corrective action of changing the print media (e.g., to a higher quality print media) for the next printed barcode. While modulation problems and defect problems of printed barcodes and print quality problems of printed OCR-B characters have been described, it is to be understood that machine-readable indicia may have other print quality problems that are controlled according to various embodiments of the present invention. Similarly, the prescribed corrective actions may be other than those described.


Referring back to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer continues by automatically causing implementation of the prescribed corrective action such that a next machine-readable indicium does not have the print quality problem (i.e., the print quality problem is substantially corrected in succeeding machine-readable indicia) (step 712).


For example, if a modulation problem in the printed barcode in both a picket fence orientation and in a ladder orientation is identified in step 706, the processor in the printer, the verifier, or both, or the processor in the printer-verifier causes automatic adjustment of the printhead temperature and the speed of the printer. If a modulation problem is identified in the printed barcode in the picket fence orientation only, the processor in the printer, the verifier, or both, or the processor in the printer/printer-verifier 600 causes automatic adjustment of the printhead temperature. The printhead temperature may be either reduced or increased, depending upon the specifics of the modulation problem identified. If poor modulation results from bars that are too light, i.e., high up in the Scan Reflectance profile (as defined, for example, in 15416 barcode print quality test specification), then an increase in printhead temperature is implemented. If the bars are too dark, i.e., near the bottom of a Scan Reflectance Profile, a reduction of printhead temperature is implemented. If the identified modulation problem is in a ladder orientation only, the processor in the printer, the verifier, or both, or the processor in the printer-verifier causes automatic adjustment in print speed. The print speed may either be reduced or increased. If the identifying step results in identifying a defect problem in the printed barcode, causing implementation of the prescribed corrective action comprises communicating to a user of the printer to change the print media (e.g., to a higher quality print media) for the next printed barcode.


If the identifying step 706 results in identifying a print quality problem in the OCR-B character, the prescribed corrective action that is caused to be implemented depends upon the specific non-conformity of the printed OCR-B character. For example, as noted above, the prescribed corrective action when the printed OCR-B character that exceeds (or is short of) the outer character boundary of the Stroke Width Template (such as depicted in FIG. 8D) is an automatic adjustment in print speed. The processor in the printer, the verifier, or both, or the processor in the printer-verifier causes the automatic adjustment in print speed. The print speed may either be reduced or increased. As noted above, the prescribed corrective action when the printed OCR-B character exceeds the outer character boundary on the left and right (e.g., FIG. 8E) is an automatic adjustment of the printhead temperature and the speed of the printer by the processor in the printer, the verifier, or both, or the processor in the printer-verifier. As noted above, the prescribed corrective action when the printed OCR-B character has voids and spots (i.e., “defects”) such as depicted in FIG. 8F is the same as that for substantially correcting a defect problem in a printed barcode as above described. In accordance with various embodiments of the present invention, the method 700 may stop after step 712 (i.e., before data generation, collection and/or storage).


Returning to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer may continue by generating data from controlling the print quality of the machine-readable indicium (step 714). Data may be generated from the evaluation of each machine-readable indicium. The data may include information about corrective actions that were implemented. The data may be collected and analyzed, for purposes as hereinafter described.


Still referring to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer continues by at least one of updating the association data with the data (step 716) and collecting and storing the data for use in long-term printing process control (step 718). The data may be plotted for analyzing trends. Using the data for long-term printing process control helps maintain print quality of the machine-readable indicia by the same printer into the future. The data provides information as to how the printer is performing and the condition of the printer and its components. For example, the data may be used to track ink spread (also called bar or space growth, element variation, heat spread), i.e., the average width of the bars compared to the average width of the spaces in printed barcodes. For example, if the average width of the bars is slightly larger than the average width of the spaces by 7%, then it can be stated that the ink spread is 7%. An increase in ink spread over time indicates a need to change the printhead. By keeping track of the corrective actions (i.e., adjustments) over time, it may be possible to determine, for example, the end of life for the printhead.


Still referring to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer may further comprise generating at least one diagnostics report from the collected data (step 720). The diagnostics report may be used for long-term process control to assess the condition of the printer.


Still referring to FIG. 7, according to various embodiments of the present invention, the method 700 for controlling the print quality of the machine-readable indicium from the printer comprises repeating the capturing and evaluating steps for each machine-readable indicium (step 722). Step 722 may be performed immediately after step 705 if no print quality problem is detected (i.e., identified) from the evaluation step 704 or immediately after the prescribed corrective action has been implemented (i.e., immediately after step 712). In this way, the print quality of each machine-readable indicium is continually monitored.


A print quality problem in the machine-readable indicium may be identified and automatically (substantially) corrected (at least for modulation problems and some print quality problems in printed OCR-B characters) ideally before a next machine-readable indicium is printed or shortly thereafter, thereby substantially preventing the generation of multiple unusable printed medium. The print quality of each machine-readable indicium may be evaluated immediately after an image thereof has been captured, with the prescribed corrective action automatically implemented as soon as the machine-readable indicium is identified as having the print quality problem. As a result, there is a continual adjustment to achieve optimal print quality in each machine-readable indicium, with the identified print quality problem substantially corrected in succeeding machine-readable indicia including the next printed machine-readable indicium.


From the foregoing, it is to be understood that various embodiments of the present invention control the print quality of machine-readable indicia such as printed barcodes and printed OCR-B characters. Various embodiments enable automatic implementation of the prescribed corrective action for the print quality problem as soon as the print quality problem is identified in the machine-readable indicium. As a result, the print quality problem is substantially corrected in succeeding machine-readable indicia from the same printer.


B. Providing Print Quality Feedback


Although many printing applications do not necessarily require a high quality of printing, there are some applications in which the print quality is particularly important. For example, when printing barcodes, the print quality of barcodes must meet standards ISO/IEC 15415 and ISO/IEC 15416, among others. Even when verifying the quality of barcodes, barcode verifiers must meet standards ISO/IEC 15426-1 and ISO/IEC 15426-2, among others.


To determine print quality, verifiers may use a gray-level print quality analysis (often called “ANSI grading”). When an error is detected, verifiers may provide a simple message to communicate that an error has been detected. For example, the verifiers may simply print “VOID” on the barcode or display an error message on a display screen of the printer or printer verifier.


There is a need for systems and methods to provide more information. By communicating more information to a user, the user can more easily maintain the printers and printer verifiers to keep the devices operating properly. In accordance with various embodiments, the present invention provides systems and methods of improving the process of verifying print quality. In addition to the indication of “failure” or “success,” the present invention further provides a great amount of information when the verification test results in a failure. In other words, the present invention provides more feedback than just a ‘VOID’ message as there may be many different levels of quality that could generate a failure. In addition to the notice that the label fails, the present invention prints useful information about what to do about the failure.


Not only do the verifiers of the present disclosure determine print quality, the verifiers are also further configured to print information onto the print media or label when the print quality does not meet an acceptable threshold. Printing the information communicates the reasons why the print quality is not acceptable, and can also provide information on how a user can correct or improve the print quality. Otherwise, with only a simple notification that the printer has failed a verification test, the user may not know how to correct the issues that caused the failure, and the printer may continue to print out defective products. The present invention provides detailed information that can be printed directly onto the labels so that the user can have a record of the error and instructions about how to fix the error.



FIG. 9 is a perspective view illustrating an embodiment of a label printer 900. In various embodiments of the present invention, the label printer 900 is similar to the printer described above with reference to FIGS. 3-6. The label printer 900 includes a housing 902, one or more user input components 904, one or more user output components 906, a viewing window 908, and a label output port 910. FIG. 9 illustrates a label 912 exiting the label output port 910 of the label printer 900.


Similar to the embodiments described above in connection with FIGS. 3-6: in some embodiments, the label printer 900 may be configured to include a verifier positioned inside the housing 902; in some embodiments, a verifier may be positioned at or around the label output port 910; in some embodiments, a verifier may be independent of the label printer 900 and configured to conduct verification tests after the labels 912 have exited the label printer 900.


The verifier associated with the label printer 900 may be configured to analyze the print quality of images printed onto the labels. The verifier may further compare the analyzed print quality with certain quality standards, such as ISO/IEC 15415, ISO/IEC 15416, ISO/IEC 15426-1, ISO/IEC 15426-2, ANSI X3.182, among others. If the print quality does not meet the standards or contains parameters that fall below a minimum acceptable threshold, then the verifier can print diagnostic information onto the label.


For example, the diagnostic information may include gray levels, ANSI grade levels, numeric ANSI grades, and/or bar width growth percentages. The diagnostic information may also include instructions defining an appropriate course of action that a user may take for correcting any issues. The corrective actions may include, for example, changing the pressure of a printhead of a printing mechanism. The printhead pressure is the pressure applied by the printhead to the print media that is supported by a platen roller or other printing surface. Other corrective actions may include reducing the temperature of the printhead, cleaning the printhead, repairing the printhead, replacing the printhead, realigning the print media within the printer, realigning a printer ribbon within the printer, and/or other actions.



FIG. 10 is a perspective view illustrating an embodiment of a printing and verifying apparatus 1000 representing at least a portion of the interior components of the label printer 900, similar to the printer/printer-verifier 600 as described above with reference to FIG. 6. In general, the printing and verifying apparatus 1000 comprises a printing mechanism 1002 and a print verification device 1004. In this embodiment, these components may be incorporated entirely within the housing 902 of the label printer 900 of FIG. 9. The printing mechanism 1002 utilizes an ink ribbon 1006 for the thermal transfer of ink to print media 1001 as the print media 1001 passes through the printing mechanism 1002. The printing mechanism 1002 includes a platen roller 1010 configured for moving the ink ribbon 1006 and print media 1001 through the printing and verifying apparatus 1000. Also, the platen roller 1010 provides a surface for supporting the print media 1001 when the printing mechanism 1002 applies ink to the print media 1001. Ionizers 1012 and 1014 are positioned on opposite sides of the print media 1001 as it passes through the printing and verifying apparatus 1000.


Some verifiers may determine information regarding the ANSI grades (for example, by evaluating the gray-level image to a standard such as ISO/IEC 15415 and 15416). That information may be stored in a digital file for later retrieval or displayed temporarily on a computer screen. With the configuration of FIG. 10 (in which the print verification device 1004 is located in proximity to the printing mechanism 1002), the print verification device 1004 may instruct the printing mechanism 1002 to immediately print the diagnostic information onto the same label that is being printed. In some embodiments, the print verification device 1004 may instruct the platen roller 1010 to retract the print media 1001 to print the diagnostic information.


In the present invention, detailed print quality information and/or diagnostic information can be printed directly on a failed label. Examples of useful information that can be printed on the label may include (1) an ANSI grading level (e.g., “A”-“F”), (2) a numeric ANSI grade level (e.g., from 0.0 to 4.0), and (3) bar width growth (e.g., +5.9%).


In accordance with various embodiments, the present invention may further provide information to the user as to what to do about a failed label. For instance, in high-impact printing installations (such as pharmaceutical labeling), it may be necessary to stop all printing on a specific label printer if a failed label is detected. In this case, the printing and verifying apparatus 1000 may print a message on the label such as “Stop the Printer and Notify your Supervisor.”


In another embodiment, process-specific information is provided. For example, if a parameter of a label exceeds a given threshold (e.g., bar width growth >10%), the printing and verifying apparatus 1000 can print a message to instruct the user to adjust the printer. For instance, a message printed on the failed label may read “Reduce Printhead Temperature Slightly.” Similarly, if the reason for failure is in the Defects Grade, the message printed on the label may be “Stop Printing and Clean Printhead.”


In another embodiment, the printing and verifying apparatus 1000 may detect burned-out dots in the printhead of the printing mechanism 1002 based on the analysis of the print quality. Burned-out dots may be detected by comparing sequential scan grades of a linear bar code symbol or by other methods. If printhead dot failure is detected, the print verification device 1004 may use a certain threshold, which could be a predetermined threshold or set by the user for a particular use. For example, the burned-out dot threshold could be as low as one defective dot or may be as high as a maximum number that still allows acceptable results. Therefore, if the printhead exceeds the threshold, the printhead would be considered defective and in need of repair or replacement. The burned-out dot threshold may alternatively include a maximum number of adjacent defective dots, such as two or three adjacent defective dots. If one of these thresholds is exceeded, the printing mechanism 1002 may print a message such as “Printer Maintenance Required” or “Replace the Printhead” depending on the environment and/or the level of operator competency.


As described above, when the user is presented with useful barcode quality information from the integrated printing and verifying apparatus 1000, the user can better understand the printing issues so that he can act on the knowledge of barcode print quality. Receiving appropriate feedback enables the user to more easily analyze why the printer is producing unacceptable labels. In some embodiments, the feedback may include instructions regarding the appropriate course of corrective action by communicating with the user by instructions that can be printed directly on the failed label.


Therefore, according to some embodiments, a printer (e.g., the label printer 900) may comprise the printing mechanism 1002 configured to print images onto print media 1001. The printer may further comprise a print verification device 1004 configured to monitor the print quality of images printed onto the print media. The print verification device 1004 may be configured to analyze the print quality to determine if the print quality meets predetermined quality standards. When the print verification device 1004 determines that the print quality does not meet the predetermined quality standards, the print verification device 1004 may instruct the printing mechanism 1002 to print diagnostic information onto the print media.


In response to receiving the instruction to print the diagnostic information, the printing mechanism 1002 may be configured to print the diagnostic information onto the print media 1001. For example, the printing mechanism 1002 may print the diagnostic information on the same label that is determined to be defective. Printing on the same label may include printing an image over the printed barcode information. In other embodiments, when the defect is detected after the label has passed through the printing mechanism 1002, the printing mechanism 1002 may print the diagnostic information on the next label after the defective one. Some embodiments may also include a process of retracting the defective label by reversing the rotation of the platen roller 1010 and printing the diagnostic information on top of the printed images of the defective label.


As mentioned above, the diagnostic information may include information regarding a level of print quality. The diagnostic information may include gray levels, ANSI grade levels, numeric ANSI grades, and/or a bar width growth percentage. The print verification device 1004 may be configured to utilize the diagnostic information for comparison purposes to detect errors in the print quality.


As mentioned above, the diagnostic information may include maintenance instructions defining at least one user action to improve or correct the print quality. For example, the at least one user action may include changing the pressure that a printhead of the printing mechanism 1002 applies to a print media that is supported by a platen roller or other printing surface, reducing the temperature of the printhead when the bar width growth is greater than a predetermined percentage, cleaning the printhead when a defects grade failure is determined, repairing or replacing the printhead when a dot failure exceeds a predetermined threshold, realigning the print media 102 within the printer, and/or realigning the ink ribbon 1006 within the printer.


As mentioned above, the print media 1101 may include at least one blank label on which images are printed. The printed images may include at least one barcode. When the print verification device 1004 determines that the print quality does not meet the predetermined quality standards, the printing mechanism 1002 may be configured to print the diagnostic information over the at least one barcode. In some embodiments, the diagnostic and/or quality grading information may be printed on the media as a bar code symbol or other type of symbology.



FIG. 11 is a block diagram showing an embodiment of a printing and verifying device 1100. The printing and verifying device 1100 comprises a printing mechanism 1102, a verifier 1104, and a print quality monitoring device 1106. It should be noted that these elements may be disposed completely or partially inside a housing 1108 of a printer. In some embodiments, the verifier 1104 may be incorporated into the structure of the housing 1108 itself or positioned at or near an output port of the printer. The verifier 1104 may be a contact image sensor (CIS) device, a 1D or 2D image sensor, a scanner, or other device for capturing the images printed on the print media 1001.


The printing and verifying device 1100 is configured such that the printing mechanism 1102 and the verifier 1104 comprising a contact image sensor (CIS) device are positioned adjacent to or near each other. In this way, the sensing or scanning of the print quality can take place immediately after the printing mechanism 1102 prints images onto the labels. The CIS device senses or scans images of the labels and forwards sensor signals to the print quality monitoring device 1106, which acts as a control device. The print quality monitoring device 1106 processes the sensor signals to determine print quality and provides feedback to the printing mechanism 1102.


In operation, print media 1101 is fed through the printer in the direction of arrow 1112, as shown in FIG. 11. The print media 1101 may include blank labels 1114 onto which the printing mechanism 1102 prints images onto blank labels 1114 to produce printed labels 1116 that are fed through an output port of the printer.


The print quality monitoring device 1106 may be configured to monitor a variety of possible issues. For example, the print quality monitoring device 1106 may detect ribbon wrinkle, stained print media, damaged print media, defective print media, printing lapses, and/or barcode width variations. After analysis, the print quality monitoring device 1106 may provide signals to the printing mechanism 1102 to control the printing mechanism 1102 to print diagnostic information onto the labels 1114.


In some embodiments, the print media 1101 may include an embedded radio frequency identification (RFID) tag on each label 1114. The printing and verifying device 1100 may be configured with an RFID writing device configured to write or encode the diagnostic and/or quality information into the embedded RFID tags. For example, the RFID writing device may be incorporated in the printing mechanism 1102 or may be a separate component positioned elsewhere in the housing 1108.



FIG. 12 is a block diagram illustrating an embodiment of a printer verification device 1200. The printer verification device 1200 may contain the same or similar features as the print verification device 1004 shown in FIG. 10 and/or the print quality monitoring device 1106 shown in FIG. 11. In this embodiment, the printer verification device 1200 includes a sensing device 1202, a quality analyzing device 1204, and a printer control device 1206.


The sensing device 1202 is configured to sense or scan images printed on a label and/or obtain sensed image signals. The image information is transmitted to the quality analyzing device 1204, which is configured to analyze the print quality of the images. The analysis conducted by the quality analyzing device 1204 may include comparing the characteristics of the printed images with certain quality standards or thresholds. Also, the quality analyzing device 1204 may determine whether the printed image meets the standards and/or are acceptable based on comparisons with quality threshold levels.


In some embodiments, the printer verification device 1200 may comprise the sensing device 1202 within a printer to optically sense or scan an image printed onto print media 102. The quality analyzing device 1204 may be configured to analyze the print quality of the image printed onto the print media. The printer control device 1206 may be configured to instruct a printing mechanism (e.g., printing mechanism 1002, 1102) to print diagnostic information onto the print media when the quality analyzing device 1204 determines that the print quality does not meet predetermined quality standards.


As mentioned above, the diagnostic information provided by the printer verification device 1200 may include any suitable information that can be helpful for maintenance or repair purposes. For example, the diagnostic information may include gray levels, ANSI grade levels, numeric ANSI grades, bar width growth amounts, and/or other parameters. The quality analyzing device 1204 may be configured to utilize the diagnostic information to detect errors in the print quality. The diagnostic information provided by the printer control device 1206 may include instructions defining an appropriate course of corrective actions. The corrective action performed by a user or maintenance worker may include changing the pressure that a printhead of the printing mechanism 1102 applies to a print media, reducing the temperature of the printhead, cleaning the printhead, repairing the printhead, replacing the printhead, realigning the print media 102 within the printer, and/or realigning a printer ribbon within the printer.


The print media may include at least one label and the image printed on the label may include at least one barcode. The printer verification device may be further configured such that the quality analyzing device 1204 determines if the print quality meets the predetermined quality standards. The printer control device 1206 instructs the printing mechanism (e.g., printing mechanism 1002, 1102) to print the diagnostic information over the image printed onto print media (e.g., print media 1001, 1101) when the print quality does not meet the quality standards.



FIGS. 13A-13D illustrate an example of a label 1300 that is printed according to the teachings disclosed herein. In this example shown in FIGS. 13A-13D, the label 1300 is fed through the printer in a manner such that the bottom end of the label 1300 is printed first and the top end of the label is printed last. In other words, the label is fed through the printer bottom first, such that, according to this example, the barcode or barcodes 1302 are printed before the user information 1304 (shown in its entirety in FIG. 13A) is printed. The user information 1304 may include any text, numbers, etc. that may be specific to the business or individual for which the labels are printed.


In FIG. 13A, the label 1300 is shown as being printed as the user intends for it to be printed. In some embodiments, it may be considered that FIG. 13A shows the label 1300 that conforms to the verification tests disclosed herein, without any error messages needed.



FIG. 13B shows the label 1300 in which only the barcodes 1302 are printed, while the user information 1304 shown in FIG. 13A is either not printed during a first pass of the label through the printer or has not yet been printed. In this condition, the label 1300 includes a blank area 1306 where the user information 1304 normally would be. The label 1300 may appear this way after only a portion of the label 1300 has passed through the printing mechanism or after the label 1300 has been printed with the blank area 1306 intentionally left blank.


A verifying device may be positioned such that it can verify the barcodes 1302 immediately after the barcodes 1302 are printed and before the rest of the label 1300 is printed. Similarly, the print quality monitoring device 1106 or quality analyzing device 1204 can determine if the barcodes 1302 meet the quality standards. The print quality can therefore be analyzed before the rest of the label 1300 is fed through the printer or during a pause in the feeding process if extra time is needed to analyze the quality. If it is determined that the quality does not meet the standards, then the print quality monitoring device 1106 or printer control device 1206 can change the image buffer of the printer on the fly so that the label 1300 is printed with an error message 1308 in place of the user information 1304.



FIG. 13C shows a situation where an error is detected and the image buffer of the printer is replaced with the error message 1308, which may include details of the verification test. For example, the error message 1308 may include a first line that simply states that the barcode has failed a verification test and may read “Barcode Failed Verification Test,” “Barcode Verification Failed,” “Barcode Failure,” or other similar messages.


The next lines of the error message 1308 may include details, such as the barcode type, an ANSI grading, a bar width growth, or other diagnostic information, details, properties, and/or measurements for communicating the issues to the user who may view the defective barcode label 1300. The error message 1308 may be incorporated in a text box. The error message 1308 and/or text box may include a certain level of visibility to show that the regular barcode label 1300 is defective.


The additional information printed in the text box of the error message 1308 can communicate the reason for the print failure. This feedback may be provided by an integrated verifier within a printer. When one of the parameters of the barcode does not meet acceptable thresholds, the printer verification device 1200 can decide whether a barcode label 1300 has failed, and determine whether to print the text box 1308. In this example, a minimum acceptable threshold value for the bar width growth may be 10%, and, as shown in FIG. 13C, the undesirable value of 12% has exceeded the minimum threshold. In this example, the barcode label 1300 is deemed to be defective.


The text box 1308 may include any acceptable form, text font, text size, box design, etc. In some embodiments, the text box 1308 may be a white box with a black outline (having any thickness or design) and the diagnostic information may include black text, as shown in FIGS. 13C and 13D. In other embodiments, the text box 1308 may be a black box with white text inside. The text box 1308 may include other features to highlight or emphasize that the barcode label 1300 is defective.


According to embodiments shown in FIGS. 13C and 13D, the text box 1308 can be considered as an image that replaces the user information 1304 or other regular text that might be printed if no error were detected. In FIG. 13D, the text box 1308 may be incorporated into the image buffer such that it superimposes all or parts of the user information 1304. In some embodiments, the printer control device 1206 may substitute the user information 1304 with a lighter shade of text, and superimpose the error message over the user information 1304. Alternatively, the image buffer of the error message 1308 may completely replace the user information 1304 only where the user information 1304 would have been printed.


According to another embodiment, the printer may print the entire label 1300 but leave the blank area 1306 as shown in FIG. 13B. In this example, the label can be loaded in either direction (i.e., top-end-first or bottom-end-first). The verification process can be conducted to determine if the barcode or barcodes 1302 are defective. If so, the label can be retracted back into the printer so that the error message 1308 can be printed, either in place of the user information 1304 (FIG. 13C) or over the user information 1304 (FIG. 13D).


Alternatively, instead of retracting the label back into the printer, a second printing mechanism can be used for printing the error message 1308 and/or user information 1304. Thus, the image buffer would not be changed on the fly for each specific label, as is done in the embodiments described above. The second printing mechanism may also be configured to print the user information 1304 if no errors are detected, or it may include portions of the user information 1304 outside the text box 1308 if errors are detected.



FIGS. 14A-14D illustrate another exemplary label 1400 to be printed. FIG. 14A shows a view of the label 1400 printed in the manner that is intended. This view also shows what the label 1400 may look like if no errors are detected and no error messages are needed. In this example, the label 1400 may be designed such that it may intentionally or unintentionally include a blank area 1402. In this example, the label may be loaded bottom first into the printer, such that most or all of the label would be printed before the barcode 1404 can be verified. The verifier 1104, print quality monitoring device 1106, and/or sensing device 1202 may be configured to sense the blank area 1402, either by using information from the image buffer or by optically sensing blank areas on the label 1400.


If an error is detected, the label 1400 can be retracted back into the printer so that the error message 1406 (as shown in FIG. 14B) can be printed. The error message 1406 can also be printed by a second printing mechanism to allow the error message to be printed without the need for the retracting action. Either way, the error message 1406 is printed over the top of a label that has already been fully printed or mostly printed. With the location of the blank area 1402 being known, either by an intentional plan or by sensing the blank area 1402, the error message 1406 can be printed in the blank area 1402 with a minimal amount of interference with the above printed text and/or barcodes.


As shown in FIG. 14C, an error message 1408 can be printed with white text on a black background, which may provide greater visibility for a user. Also, in some embodiments, in additional to the error message 1408, the printer may also print void marks over portions of the label. If the error message 1410 is intended to be superimposed over above printed text (as is shown in FIG. 14D), the text of the error message 1410 may be enlarged or bolded to allow a user to read the message even with underlying text. In some embodiments, if a second printing mechanism is used to print an error message over a defective label, the second mechanism may be configured to print the message using a different color of ink (e.g., red), or may be configured to use differing print techniques to emphasize the error message for readability purposes.



FIG. 15 illustrates an exemplary method 1500 for providing print quality feedback. The method 1500, implemented by a printing and verifying apparatus, includes a first step (block 1502) of analyzing the print quality of a printed barcode as described above. As shown in block 1504, the method 1500 further includes comparing the analyzed barcode with certain quality standards, as described above.


As indicated in decision block 1506, the method 1500 includes determining whether the barcode meets the quality standards, as described above. If not, then the method 1500 proceeds to block 1508, which indicates that the method 1500 further includes instructing a printer to print diagnostic information onto a label associated with the barcode. In some embodiments, the printer that prints the diagnostic information is the same printer that prints the defective barcode.


After printing the diagnostic information, the method 1500 ends. If it is determined in decision block 1506 that the barcode meets the quality standards, no further actions are required.


Therefore, according to some embodiments of the present invention, a method may be executed in association with a printer. The method may comprise the steps of analyzing the print quality of a barcode printed by a printing mechanism onto a label (e.g., block 1502), determining if the print quality meets predetermined quality standards (e.g., decision block 1506), and instructing the printing mechanism to print diagnostic information onto the label (e.g., block 1508) if the print quality does not meet the predetermined quality standards.


The diagnostic information associated with block 1508 may include information regarding a level of print quality as described above. For example, the diagnostic information may include gray levels, ANSI grade levels, numeric ANSI grades, and/or bar width growth amounts. The diagnostic information may also include maintenance instructions explaining how to improve or correct the print quality.


III. Additional Implementation Details

In some example embodiments, certain ones of the operations herein may be modified or further amplified as described. Moreover, in some embodiments additional optional operations may also be included. It should be appreciated that each of the modifications, optional additions or amplifications described herein may be included with the operations herein either alone or in combination with any others among the features described herein.


The foregoing method descriptions and the process flow diagrams are provided merely as illustrative examples and are not intended to require or imply that the steps of the various embodiments must be performed in the order presented. As will be appreciated by one of skill in the art the order of steps in the foregoing embodiments may be performed in any order. Words such as “thereafter,” “then,” “next,” etc. are not intended to limit the order of the steps; these words are simply used to guide the reader through the description of the methods. Further, any reference to claim elements in the singular, for example, using the articles “a,” “an” or “the” is not to be construed as limiting the element to the singular.


The hardware used to implement the various illustrative logics, logical blocks, modules, and circuits described in connection with the aspects disclosed herein may include a general purpose processor, a digital signal processor (DSP), a special-purpose processor such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA), a programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but, in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. Alternatively, or in addition, some steps or methods may be performed by circuitry that is specific to a given function.


In one or more example embodiments, the functions described herein may be implemented by special-purpose hardware or a combination of hardware programmed by firmware or other software. In implementations relying on firmware or other software, the functions may be performed as a result of execution of one or more instructions stored on one or more non-transitory computer-readable media and/or one or more non-transitory processor-readable media. These instructions may be embodied by one or more processor-executable software modules that reside on the one or more non-transitory computer-readable or processor-readable storage media. Non-transitory computer-readable or processor-readable storage media may in this regard comprise any storage media that may be accessed by a computer or a processor. By way of example but not limitation, such non-transitory computer-readable or processor-readable media may include random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), FLASH memory, disk storage, magnetic storage devices, or the like. Disk storage, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk, and Blu-ray Disc™, or other storage devices that store data magnetically or optically with lasers. Combinations of the above types of media are also included within the scope of the terms non-transitory computer-readable and processor-readable media. Additionally, any combination of instructions stored on the one or more non-transitory processor-readable or computer-readable media may be referred to herein as a computer program product.


It is to be understood that the inventions are not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims. Moreover, the steps in the method described above may not necessarily occur in the order depicted in the accompanying diagrams, and in some cases one or more of the steps depicted may occur substantially simultaneously, or additional steps may be involved. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.


In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such exemplary embodiments. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation.

Claims
  • 1. A printer comprising: a printing mechanism configured to print images onto a print media; anda print verification device configured to monitor a print quality of the images printed onto the print media;wherein the print verification device is configured to analyze the print media to determine if the print quality meets a predetermined quality standard; andwherein, when the print verification device determines that the print quality of the analyzed print media does not meet the predetermined quality standard, the print verification device is configured to instruct the printing mechanism to print diagnostic information comprising maintenance instructions onto the analyzed print media before the printing mechanism prints images onto a next print media, the maintenance instructions defining at least one user action needed to improve or correct the print quality.
  • 2. The printer of claim 1, wherein the printing mechanism is configured to print the diagnostic information onto the print media.
  • 3. The printer of claim 2, wherein the diagnostic information comprises information regarding a level of print quality.
  • 4. The printer of claim 1, wherein the diagnostic information comprises gray levels, ANSI grade levels, numeric ANSI grades, and/or bar width growth amounts.
  • 5. The printer of claim 1, wherein the diagnostic information includes the maintenance instructions defining at least one user action needed to improve or correct the print quality.
  • 6. The printer of claim 5, wherein the at least one user action includes changing a pressure that a printhead of the printing mechanism applies to the print media, reducing a temperature of the printhead when a bar width growth is greater than a first predetermined percentage, increasing the temperature of the printhead when the bar width growth is less than a second predetermined percentage, cleaning the printhead when a defects grade failure is determined, repairing or replacing the printhead when a dot failure exceeds a predetermined threshold, realigning the print media within the printer, and/or realigning a printer ribbon within the printer.
  • 7. The printer of claim 1, wherein the print media includes at least one label.
  • 8. The printer of claim 1, wherein the print images include at least one barcode.
  • 9. The printer of claim 1, wherein the printer further comprises a platen roller configured to move the print media through the printer.
  • 10. The printer of claim 9, wherein, when the print verification device determines that the print quality of the analyzed print media does not meet the predetermined quality standard, the print verification device is configured to instruct the platen roller to retract the print media.
  • 11. A method associated with a printer, comprising: analyzing a print quality of a barcode printed onto a label by a printing mechanism;determining that the print quality of the analyzed label does not meet a predetermined quality standard; andinstructing the printing mechanism to print diagnostic information comprising maintenance instructions onto the analyzed label before the printing mechanism prints images onto a next label, wherein the maintenance instructions define at least one user action needed to improve or correct the print quality.
  • 12. The method of claim 11, wherein the printing mechanism is configured to print the diagnostic information onto the label.
  • 13. The method of claim 12, wherein the diagnostic information includes information regarding a level of print quality.
  • 14. The method of claim 11, wherein the diagnostic information comprises gray levels, ANSI grade levels, numeric ANSI grades, and/or bar width growth amounts.
  • 15. The method of claim 11, wherein the diagnostic information comprises maintenance instructions defining at least one user action needed to improve or correct the print quality.
  • 16. The method of claim 15, wherein the at least one user action comprises changing a pressure that a printhead of the printing mechanism applies to the label, reducing a temperature of the printhead when a bar width growth is greater than a first predetermined percentage, increasing the temperature of the printhead when the bar width growth is less than a second predetermined percentage, cleaning the printhead when a defects grade failure is determined, repairing or replacing the printhead when a dot failure exceeds a predetermined threshold, realigning the label within the printer, and/or realigning a printer ribbon within the printer.
  • 17. The method of claim 15, wherein the at least one user action is determined based on association data that associates different print quality errors with respective prescribed corrective actions.
  • 18. The method of claim 11, wherein, in response determining that the print quality does not meet the predetermined quality standard, the method further comprises instructing the printing mechanism to print the diagnostic information over the barcode.
  • 19. The method of claim 11, wherein the printer further comprises a platen roller configured to move the label through the printer.
  • 20. The method of claim 19, further comprising: instruct the platen roller to retract the label.
CROSS-REFERENCE TO RELATED APPLICATIONS

This non-provisional application is a continuation of U.S. application Ser. No. 16/688,197, filed Nov. 19, 2019, which is a continuation of U.S. application Ser. No. 16/240,109, filed Jan. 4, 2019, now U.S. Pat. No. 10,546,160, issued Jan. 28, 2020, which claims the benefit of U.S. Provisional Patent Application No. 62/614,089, filed Jan. 5, 2018, the entire contents of which are incorporated herein by reference.

US Referenced Citations (806)
Number Name Date Kind
4699531 Ulinski et al. Oct 1987 A
5051567 Tedesco Sep 1991 A
5218190 Hardesty et al. Jun 1993 A
5272322 Nishida et al. Dec 1993 A
5318938 Hampl et al. Jun 1994 A
5488223 Austin et al. Jan 1996 A
5488233 Ishikawa et al. Jan 1996 A
5521368 Adachi May 1996 A
5564841 Austin et al. Oct 1996 A
5761336 Xu et al. Jun 1998 A
5845008 Katoh et al. Dec 1998 A
5914474 Spitz Jun 1999 A
6036091 Spitz Mar 2000 A
6042279 Ackley Mar 2000 A
6323949 Lading et al. Nov 2001 B1
6511141 Hasegawa et al. Jan 2003 B1
6535299 Scherz Mar 2003 B1
6567530 Keronen et al. May 2003 B1
6741727 Hirasawa May 2004 B1
6763148 Sternberg et al. Jul 2004 B1
6832725 Gardiner et al. Dec 2004 B2
6997627 Chiu Feb 2006 B2
7128266 Zhu et al. Oct 2006 B2
7159783 Walczyk et al. Jan 2007 B2
7413127 Ehrhart et al. Aug 2008 B2
7440123 Chodagiri et al. Oct 2008 B2
7471331 Kaneda Dec 2008 B2
7519222 Kisilev et al. Apr 2009 B2
7570788 Tsukamoto et al. Aug 2009 B2
7600687 Biss et al. Oct 2009 B2
7726575 Wang et al. Jun 2010 B2
7869112 Borchers et al. Jan 2011 B2
7877004 Maruyama et al. Jan 2011 B2
7920283 Shimazaki Apr 2011 B2
7936365 Jeong May 2011 B2
8189229 Mori May 2012 B2
8269836 Zandifar et al. Sep 2012 B2
8294945 Natori Oct 2012 B2
8294969 Plesko Oct 2012 B2
8317105 Kotlarsky et al. Nov 2012 B2
8322622 Liu Dec 2012 B2
8355058 Shirai Jan 2013 B2
8366005 Kotlarsky et al. Feb 2013 B2
8371507 Haggerty et al. Feb 2013 B2
8376233 Horn et al. Feb 2013 B2
8381979 Franz Feb 2013 B2
8390909 Plesko Mar 2013 B2
8408464 Zhu et al. Apr 2013 B2
8408468 Van Horn et al. Apr 2013 B2
8408469 Good Apr 2013 B2
8424768 Rueblinger et al. Apr 2013 B2
8448863 Xian et al. May 2013 B2
8457013 Essinger et al. Jun 2013 B2
8459557 Havens et al. Jun 2013 B2
8469272 Kearney Jun 2013 B2
8474712 Kearney et al. Jul 2013 B2
8479992 Kotlarsky et al. Jul 2013 B2
8482809 Mikami Jul 2013 B2
8488181 Wu et al. Jul 2013 B2
8490877 Kearney Jul 2013 B2
8517271 Kotlarsky et al. Aug 2013 B2
8523076 Good Sep 2013 B2
8528818 Ehrhart et al. Sep 2013 B2
8544737 Gomez et al. Oct 2013 B2
8548420 Grunow et al. Oct 2013 B2
8550335 Samek et al. Oct 2013 B2
8550354 Gannon et al. Oct 2013 B2
8550357 Kearney Oct 2013 B2
8556174 Kosecki et al. Oct 2013 B2
8556176 Van Horn et al. Oct 2013 B2
8556177 Hussey et al. Oct 2013 B2
8559767 Barber et al. Oct 2013 B2
8561895 Gomez et al. Oct 2013 B2
8561903 Sauerwein, Jr. Oct 2013 B2
8561905 Edmonds et al. Oct 2013 B2
8565107 Pease et al. Oct 2013 B2
8571307 Li et al. Oct 2013 B2
8579200 Samek et al. Nov 2013 B2
8583924 Caballero et al. Nov 2013 B2
8584945 Wang et al. Nov 2013 B2
8587595 Wang Nov 2013 B2
8587697 Hussey et al. Nov 2013 B2
8588869 Sauerwein et al. Nov 2013 B2
8590789 Nahill et al. Nov 2013 B2
8596539 Havens et al. Dec 2013 B2
8596542 Havens et al. Dec 2013 B2
8596543 Havens et al. Dec 2013 B2
8599271 Havens et al. Dec 2013 B2
8599957 Peake et al. Dec 2013 B2
8600158 Li et al. Dec 2013 B2
8600167 Showering Dec 2013 B2
8602309 Longacre et al. Dec 2013 B2
8608053 Meier et al. Dec 2013 B2
8608071 Liu et al. Dec 2013 B2
8611309 Wang et al. Dec 2013 B2
8615487 Gomez et al. Dec 2013 B2
8621123 Caballero Dec 2013 B2
8622303 Meier et al. Jan 2014 B2
8628013 Ding Jan 2014 B2
8628015 Wang et al. Jan 2014 B2
8628016 Winegar Jan 2014 B2
8629926 Wang Jan 2014 B2
8630030 Chung et al. Jan 2014 B2
8630491 Longacre et al. Jan 2014 B2
8635309 Berthiaume et al. Jan 2014 B2
8636200 Kearney Jan 2014 B2
8636212 Nahill et al. Jan 2014 B2
8636215 Ding et al. Jan 2014 B2
8636224 Wang Jan 2014 B2
8638806 Wang et al. Jan 2014 B2
8640958 Lu et al. Feb 2014 B2
8640960 Wang et al. Feb 2014 B2
8643717 Li et al. Feb 2014 B2
8646692 Meier et al. Feb 2014 B2
8646694 Wang et al. Feb 2014 B2
8657200 Ren et al. Feb 2014 B2
8659397 Vargo et al. Feb 2014 B2
8668149 Good Mar 2014 B2
8675266 Watts Mar 2014 B2
8678285 Kearney Mar 2014 B2
8678286 Smith et al. Mar 2014 B2
8682077 Longacre, Jr. Mar 2014 B1
D702237 Oberpriller et al. Apr 2014 S
8687282 Feng et al. Apr 2014 B2
8692927 Pease et al. Apr 2014 B2
8695880 Bremer et al. Apr 2014 B2
8698949 Grunow et al. Apr 2014 B2
8717494 Gannon May 2014 B2
8720783 Biss et al. May 2014 B2
8723804 Fletcher et al. May 2014 B2
8723904 Marty et al. May 2014 B2
8727223 Wang May 2014 B2
8736914 French May 2014 B2
8740082 Wilz, Sr. Jun 2014 B2
8740085 Furlong et al. Jun 2014 B2
8746563 Hennick et al. Jun 2014 B2
8750445 Peake et al. Jun 2014 B2
8752766 Xian et al. Jun 2014 B2
8756059 Braho et al. Jun 2014 B2
8757495 Qu et al. Jun 2014 B2
8760563 Koziol et al. Jun 2014 B2
8763909 Reed et al. Jul 2014 B2
8768102 Ng et al. Jul 2014 B1
8777108 Coyle Jul 2014 B2
8777109 Oberpriller et al. Jul 2014 B2
8779898 Havens et al. Jul 2014 B2
8781520 Payne et al. Jul 2014 B2
8783573 Havens et al. Jul 2014 B2
8789757 Barten Jul 2014 B2
8789758 Hawley et al. Jul 2014 B2
8789759 Xian et al. Jul 2014 B2
8794520 Wang et al. Aug 2014 B2
8794522 Ehrhart Aug 2014 B2
8794525 Amundsen et al. Aug 2014 B2
8794526 Wang et al. Aug 2014 B2
8798367 Ellis Aug 2014 B2
8807431 Wang et al. Aug 2014 B2
8807432 Van Horn et al. Aug 2014 B2
8817327 Kamijima Aug 2014 B2
8820630 Qu et al. Sep 2014 B2
8822848 Meagher Sep 2014 B2
8824692 Sheerin et al. Sep 2014 B2
8824696 Braho Sep 2014 B2
8842849 Wahl et al. Sep 2014 B2
8844822 Kotlarsky et al. Sep 2014 B2
8844823 Fritz et al. Sep 2014 B2
8849019 Li et al. Sep 2014 B2
D716285 Chaney et al. Oct 2014 S
8851383 Yeakley et al. Oct 2014 B2
8854633 Laffargue et al. Oct 2014 B2
8866963 Grunow et al. Oct 2014 B2
8868421 Braho et al. Oct 2014 B2
8868519 Maloy et al. Oct 2014 B2
8868802 Barten Oct 2014 B2
8868803 Caballero Oct 2014 B2
8870074 Gannon Oct 2014 B1
8879085 Vandemark et al. Nov 2014 B2
8879639 Sauerwein, Jr. Nov 2014 B2
8880426 Smith Nov 2014 B2
8881983 Havens et al. Nov 2014 B2
8881987 Wang Nov 2014 B2
8903172 Smith Dec 2014 B2
8908995 Benos et al. Dec 2014 B2
8910870 Li et al. Dec 2014 B2
8910875 Ren et al. Dec 2014 B2
8914290 Hendrickson et al. Dec 2014 B2
8914788 Pettinelli et al. Dec 2014 B2
8915439 Feng et al. Dec 2014 B2
8915444 Havens et al. Dec 2014 B2
8916789 Woodburn Dec 2014 B2
8918250 Hollifield Dec 2014 B2
8918564 Caballero Dec 2014 B2
8925818 Kosecki et al. Jan 2015 B2
8939374 Jovanovski et al. Jan 2015 B2
8942480 Ellis Jan 2015 B2
8944313 Williams et al. Feb 2015 B2
8944327 Meier et al. Feb 2015 B2
8944332 Harding et al. Feb 2015 B2
8950678 Germaine et al. Feb 2015 B2
D723560 Zhou et al. Mar 2015 S
8967468 Gomez et al. Mar 2015 B2
8971346 Sevier Mar 2015 B2
8976030 Cunningham et al. Mar 2015 B2
8976368 El Akel et al. Mar 2015 B2
8978981 Guan Mar 2015 B2
8978983 Bremer et al. Mar 2015 B2
8978984 Hennick et al. Mar 2015 B2
8985456 Zhu et al. Mar 2015 B2
8985457 Soule et al. Mar 2015 B2
8985459 Kearney et al. Mar 2015 B2
8985461 Gelay et al. Mar 2015 B2
8988578 Showering Mar 2015 B2
8988590 Gillet et al. Mar 2015 B2
8991704 Hopper et al. Mar 2015 B2
8996194 Davis et al. Mar 2015 B2
8996384 Funyak et al. Mar 2015 B2
9002641 Showering Apr 2015 B2
9007368 Laffargue et al. Apr 2015 B2
9010641 Qu et al. Apr 2015 B2
9015513 Murawski et al. Apr 2015 B2
9016576 Brady et al. Apr 2015 B2
D730357 Fitch et al. May 2015 S
9022288 Nahill et al. May 2015 B2
9030964 Essinger et al. May 2015 B2
9033240 Smith et al. May 2015 B2
9033242 Gillet et al. May 2015 B2
9036037 Rudin et al. May 2015 B1
9036054 Koziol et al. May 2015 B2
9037344 Chamberlin May 2015 B2
9038911 Xian et al. May 2015 B2
9038915 Smith May 2015 B2
9041762 Bai et al. May 2015 B2
D730901 Oberpriller et al. Jun 2015 S
D730902 Fitch et al. Jun 2015 S
D733112 Chaney et al. Jun 2015 S
9047098 Barten Jun 2015 B2
9047359 Caballero et al. Jun 2015 B2
9047420 Caballero Jun 2015 B2
9047525 Barber et al. Jun 2015 B2
9047531 Showering et al. Jun 2015 B2
9053055 Caballero Jun 2015 B2
9053378 Hou et al. Jun 2015 B1
9053380 Xian et al. Jun 2015 B2
9058526 Powilleit Jun 2015 B2
9064165 Havens et al. Jun 2015 B2
9064167 Xian et al. Jun 2015 B2
9064168 Todeschini et al. Jun 2015 B2
9064254 Todeschini et al. Jun 2015 B2
9066032 Wang Jun 2015 B2
9070032 Corcoran Jun 2015 B2
D734339 Zhou et al. Jul 2015 S
D734751 Oberpriller et al. Jul 2015 S
9079423 Bouverie et al. Jul 2015 B2
9093141 Liu Jul 2015 B2
9104934 Li et al. Aug 2015 B2
9111166 Cunningham, IV Aug 2015 B2
9137009 Gardiner Sep 2015 B1
9158000 Sauerwein, Jr. Oct 2015 B2
9158340 Reed et al. Oct 2015 B2
9158953 Gillet et al. Oct 2015 B2
9159059 Daddabbo et al. Oct 2015 B2
9171539 Funyak et al. Oct 2015 B2
9171543 Emerick et al. Oct 2015 B2
9174457 Aihara et al. Nov 2015 B1
9183425 Wang Nov 2015 B2
9189669 Zhu et al. Nov 2015 B2
9219836 Bouverie et al. Dec 2015 B2
9224022 Ackley et al. Dec 2015 B2
9224027 Van Horn et al. Dec 2015 B2
D747321 London et al. Jan 2016 S
9230140 Ackley Jan 2016 B1
9245492 Ackley et al. Jan 2016 B2
9248640 Heng Feb 2016 B2
9250712 Todeschini Feb 2016 B1
9258033 Showering Feb 2016 B2
9261398 Amundsen et al. Feb 2016 B2
9262633 Todeschini et al. Feb 2016 B1
9262662 Chen et al. Feb 2016 B2
9262664 Soule et al. Feb 2016 B2
9269036 Bremer Feb 2016 B2
9270782 Hala et al. Feb 2016 B2
9274806 Barten Mar 2016 B2
9274812 Doren et al. Mar 2016 B2
9275388 Havens et al. Mar 2016 B2
9277668 Feng et al. Mar 2016 B2
9280693 Feng et al. Mar 2016 B2
9282501 Wang et al. Mar 2016 B2
9292969 Laffargue et al. Mar 2016 B2
9298667 Caballero Mar 2016 B2
9298964 Li et al. Mar 2016 B2
9301427 Feng et al. Mar 2016 B2
D754205 Nguyen et al. Apr 2016 S
D754206 Nguyen et al. Apr 2016 S
9310609 Rueblinger et al. Apr 2016 B2
9317037 Byford et al. Apr 2016 B2
9319548 Showering et al. Apr 2016 B2
D757009 Oberpriller et al. May 2016 S
9342724 McCloskey et al. May 2016 B2
9342827 Smith May 2016 B2
9355294 Smith et al. May 2016 B2
9361536 Howe et al. Jun 2016 B1
9361882 Ressler et al. Jun 2016 B2
9365381 Colonel et al. Jun 2016 B2
9367722 Xian et al. Jun 2016 B2
9373018 Colavito et al. Jun 2016 B2
9375945 Bowles Jun 2016 B1
D760719 Zhou et al. Jul 2016 S
9390596 Todeschini Jul 2016 B1
9396375 Qu et al. Jul 2016 B2
9398008 Todeschini et al. Jul 2016 B2
D762604 Fitch et al. Aug 2016 S
D762647 Fitch et al. Aug 2016 S
9405011 Showering Aug 2016 B2
9407840 Wang Aug 2016 B2
9411386 Sauerwein, Jr. Aug 2016 B2
9412242 Van Horn et al. Aug 2016 B2
9418252 Nahill et al. Aug 2016 B2
9418269 Havens et al. Aug 2016 B2
9418270 Van Volkinburg et al. Aug 2016 B2
9423318 Liu et al. Aug 2016 B2
D766244 Zhou et al. Sep 2016 S
9443123 Hejl Sep 2016 B2
9443222 Singel et al. Sep 2016 B2
9448610 Davis et al. Sep 2016 B2
9454689 McCloskey et al. Sep 2016 B2
9478113 Xie et al. Oct 2016 B2
D771631 Fitch et al. Nov 2016 S
9481186 Bouverie et al. Nov 2016 B2
9487113 Schukalski Nov 2016 B2
9488986 Solanki Nov 2016 B1
9489782 Payne et al. Nov 2016 B2
9490540 Davies et al. Nov 2016 B1
9491729 Rautiola et al. Nov 2016 B2
9497092 Gomez et al. Nov 2016 B2
9507974 Todeschini Nov 2016 B1
9519814 Cudzilo Dec 2016 B2
9521331 Bessettes et al. Dec 2016 B2
D777166 Bidwell et al. Jan 2017 S
9557166 Thuries et al. Jan 2017 B2
9558386 Yeakley Jan 2017 B2
9564035 Ackley et al. Feb 2017 B2
9569837 Madden et al. Feb 2017 B2
9582696 Barber et al. Feb 2017 B2
9606581 Howe et al. Mar 2017 B1
D783601 Schulte et al. Apr 2017 S
9616749 Chamberlin Apr 2017 B2
9618993 Murawski et al. Apr 2017 B2
D785617 Bidwell et al. May 2017 S
D785636 Oberpriller et al. May 2017 S
9641700 Schumann et al. May 2017 B2
9646189 Lu et al. May 2017 B2
9646200 Archibald et al. May 2017 B2
9652648 Ackley et al. May 2017 B2
9652653 Todeschini et al. May 2017 B2
9656487 Ho et al. May 2017 B2
9659183 Zhu et al. May 2017 B2
9659198 Giordano et al. May 2017 B2
9659670 Choi et al. May 2017 B2
9665757 Feng et al. May 2017 B2
D790505 Vargo et al. Jun 2017 S
D790546 Zhou et al. Jun 2017 S
D790553 Fitch et al. Jun 2017 S
9680282 Hanenburg Jun 2017 B2
9697401 Feng et al. Jul 2017 B2
9701140 Alaganchetty et al. Jul 2017 B1
9712758 Noda Jul 2017 B2
9715614 Todeschini et al. Jul 2017 B2
9734493 Gomez et al. Aug 2017 B2
9752864 Laffargue et al. Sep 2017 B2
9762793 Ackley et al. Sep 2017 B2
9767581 Todeschini Sep 2017 B2
9786101 Ackley Oct 2017 B2
9794392 Hejl Oct 2017 B2
9823059 Li et al. Nov 2017 B2
9826106 Ackley Nov 2017 B2
9852102 Kohtz et al. Dec 2017 B2
9857167 Jovanovski et al. Jan 2018 B2
9861182 Oberpriller et al. Jan 2018 B2
9891612 Charpentier et al. Feb 2018 B2
9892876 Bandringa Feb 2018 B2
9897434 Ackley et al. Feb 2018 B2
9898814 Kitai et al. Feb 2018 B2
9924006 Schoon et al. Mar 2018 B2
9930050 Yeakley et al. Mar 2018 B2
9954871 Hussey et al. Apr 2018 B2
9978088 Pape May 2018 B2
9984685 Braho et al. May 2018 B2
10007112 Fitch et al. Jun 2018 B2
10019334 Caballero et al. Jul 2018 B2
10021043 Sevier Jul 2018 B2
10038716 Todeschini et al. Jul 2018 B2
10060729 Laffargue et al. Aug 2018 B2
10066982 Ackley et al. Sep 2018 B2
10121466 Pecorari Nov 2018 B2
10139495 Payne Nov 2018 B2
10195880 D'Armancourt Feb 2019 B2
10269342 Braho et al. Apr 2019 B2
10427424 Creencia et al. Oct 2019 B2
10546160 Sprague et al. Jan 2020 B2
10552848 Soborski Feb 2020 B2
10621470 Ackley Apr 2020 B2
10628723 D'Armancourt et al. Apr 2020 B2
10672588 Pathangi et al. Jun 2020 B1
10795618 Gutierrez et al. Oct 2020 B2
10834283 D'Armancourt et al. Nov 2020 B2
10999460 D'Armancourt et al. May 2021 B2
11157217 Gutierrez et al. Oct 2021 B2
11210483 Ackley et al. Dec 2021 B2
20010016054 Banker et al. Aug 2001 A1
20010035971 Koakutsu et al. Nov 2001 A1
20020067925 Yamano Jun 2002 A1
20020181805 Loeb et al. Dec 2002 A1
20030102376 Meier et al. Jun 2003 A1
20040029068 Sachdeva et al. Feb 2004 A1
20040033098 Chiu Feb 2004 A1
20040036089 Chen Feb 2004 A1
20040057768 Oshino et al. Mar 2004 A1
20040120569 Hung et al. Jun 2004 A1
20040156630 Tsukamoto et al. Aug 2004 A1
20050105104 Sakai et al. May 2005 A1
20060012664 Jeong Jan 2006 A1
20060039690 Steinberg et al. Feb 2006 A1
20060110024 Wakabayashi May 2006 A1
20060197795 Takatsuka et al. Sep 2006 A1
20060269342 Yoshida et al. Nov 2006 A1
20070139703 Shimamura et al. Jun 2007 A1
20070146755 Mindler et al. Jun 2007 A1
20070195337 Takayama et al. Aug 2007 A1
20080144080 Randt Jun 2008 A1
20080185432 Caballero et al. Aug 2008 A1
20080218551 Inaba Sep 2008 A1
20090002749 Koyano Jan 2009 A1
20090058348 Ryu Mar 2009 A1
20090085952 Yamazaki Apr 2009 A1
20090087022 Fukuda et al. Apr 2009 A1
20090134221 Zhu et al. May 2009 A1
20090316161 Yamaguchi et al. Dec 2009 A1
20100165022 Makuta et al. Jul 2010 A1
20100177076 Essinger et al. Jul 2010 A1
20100177080 Essinger et al. Jul 2010 A1
20100177707 Essinger et al. Jul 2010 A1
20100177749 Essinger et al. Jul 2010 A1
20100182618 Akiyama et al. Jul 2010 A1
20100188714 Yamakawa Jul 2010 A1
20100265880 Rautiola et al. Oct 2010 A1
20110102850 Watanabe May 2011 A1
20110109918 Conlon et al. May 2011 A1
20110202554 Powilleit et al. Aug 2011 A1
20110286043 Hagisawa et al. Nov 2011 A1
20110292435 Cok et al. Dec 2011 A1
20120039384 Reznik Feb 2012 A1
20120085823 Nakamura Apr 2012 A1
20120111946 Golant May 2012 A1
20120168511 Kotlarsky et al. Jul 2012 A1
20120168512 Kotlarsky et al. Jul 2012 A1
20120182374 Matsuda et al. Jul 2012 A1
20120182571 Wu et al. Jul 2012 A1
20120193423 Samek Aug 2012 A1
20120203647 Smith Aug 2012 A1
20120223141 Good et al. Sep 2012 A1
20120228382 Havens et al. Sep 2012 A1
20120248188 Kearney Oct 2012 A1
20120263483 Suzuki Oct 2012 A1
20120330447 Gerlach et al. Dec 2012 A1
20130038670 Chen Feb 2013 A1
20130043312 Van Horn Feb 2013 A1
20130082104 Kearney et al. Apr 2013 A1
20130148987 Arakawa Jun 2013 A1
20130153661 Yamaguchi Jun 2013 A1
20130175341 Kearney et al. Jul 2013 A1
20130175343 Good Jul 2013 A1
20130250369 Kitai et al. Sep 2013 A1
20130250370 Kojima et al. Sep 2013 A1
20130257744 Daghigh et al. Oct 2013 A1
20130257759 Daghigh Oct 2013 A1
20130258368 Shigemoto et al. Oct 2013 A1
20130259301 Chen et al. Oct 2013 A1
20130270346 Xian et al. Oct 2013 A1
20130287258 Kearney Oct 2013 A1
20130292475 Kotlarsky et al. Nov 2013 A1
20130292477 Hennick et al. Nov 2013 A1
20130293539 Hunt et al. Nov 2013 A1
20130293540 Laffargue et al. Nov 2013 A1
20130306728 Thuries et al. Nov 2013 A1
20130306731 Pedrao Nov 2013 A1
20130307964 Bremer et al. Nov 2013 A1
20130308625 Park et al. Nov 2013 A1
20130313324 Koziol et al. Nov 2013 A1
20130313325 Wilz et al. Nov 2013 A1
20130322701 Szymanski Dec 2013 A1
20130332996 Fiala et al. Dec 2013 A1
20130335759 Hirose Dec 2013 A1
20130342717 Havens et al. Dec 2013 A1
20140001267 Giordano et al. Jan 2014 A1
20140002842 Ito Jan 2014 A1
20140008439 Wang Jan 2014 A1
20140009529 Teshigawara et al. Jan 2014 A1
20140025584 Liu et al. Jan 2014 A1
20140034734 Sauerwein, Jr. Feb 2014 A1
20140036848 Pease et al. Feb 2014 A1
20140039693 Havens et al. Feb 2014 A1
20140042814 Kather et al. Feb 2014 A1
20140049120 Kohtz et al. Feb 2014 A1
20140049635 Laffargue et al. Feb 2014 A1
20140061306 Wu et al. Mar 2014 A1
20140063289 Hussey et al. Mar 2014 A1
20140066136 Sauerwein et al. Mar 2014 A1
20140067692 Ye et al. Mar 2014 A1
20140070005 Nahill et al. Mar 2014 A1
20140071840 Venancio Mar 2014 A1
20140074746 Wang Mar 2014 A1
20140076974 Havens et al. Mar 2014 A1
20140078341 Havens et al. Mar 2014 A1
20140078345 Showering Mar 2014 A1
20140079292 Kaneko et al. Mar 2014 A1
20140097249 Gomez et al. Apr 2014 A1
20140098792 Wang et al. Apr 2014 A1
20140100813 Showering Apr 2014 A1
20140103115 Meier et al. Apr 2014 A1
20140104413 McCloskey et al. Apr 2014 A1
20140104414 McCloskey et al. Apr 2014 A1
20140104416 Giordano et al. Apr 2014 A1
20140104451 Todeschini et al. Apr 2014 A1
20140106594 Skvoretz Apr 2014 A1
20140106725 Sauerwein, Jr. Apr 2014 A1
20140108010 Maltseff et al. Apr 2014 A1
20140108402 Gomez et al. Apr 2014 A1
20140110485 Toa et al. Apr 2014 A1
20140114530 Fitch et al. Apr 2014 A1
20140124577 Wang et al. May 2014 A1
20140124579 Ding May 2014 A1
20140125842 Winegar May 2014 A1
20140125853 Wang May 2014 A1
20140125999 Longacre et al. May 2014 A1
20140129378 Richardson May 2014 A1
20140131438 Kearney May 2014 A1
20140131441 Nahill et al. May 2014 A1
20140131443 Smith May 2014 A1
20140131444 Wang May 2014 A1
20140131445 Ding et al. May 2014 A1
20140131448 Xian et al. May 2014 A1
20140133379 Wang et al. May 2014 A1
20140136208 Maltseff et al. May 2014 A1
20140140585 Wang May 2014 A1
20140151453 Meier et al. Jun 2014 A1
20140152882 Samek et al. Jun 2014 A1
20140158770 Sevier et al. Jun 2014 A1
20140159869 Zumsteg et al. Jun 2014 A1
20140166755 Liu et al. Jun 2014 A1
20140166759 Liu et al. Jun 2014 A1
20140168709 Tokumaru Jun 2014 A1
20140168787 Wang et al. Jun 2014 A1
20140175165 Havens et al. Jun 2014 A1
20140175172 Jovanovski et al. Jun 2014 A1
20140191644 Chaney Jul 2014 A1
20140191684 Valois Jul 2014 A1
20140191913 Ge et al. Jul 2014 A1
20140197238 Liu et al. Jul 2014 A1
20140197239 Havens et al. Jul 2014 A1
20140197304 Feng et al. Jul 2014 A1
20140214631 Hansen Jul 2014 A1
20140217166 Berthiaume et al. Aug 2014 A1
20140217180 Liu Aug 2014 A1
20140231500 Ehrhart et al. Aug 2014 A1
20140232930 Anderson Aug 2014 A1
20140247315 Marty et al. Sep 2014 A1
20140263493 Amurgis et al. Sep 2014 A1
20140263645 Smith et al. Sep 2014 A1
20140267609 Laffargue Sep 2014 A1
20140270196 Braho et al. Sep 2014 A1
20140270229 Braho Sep 2014 A1
20140278387 DiGregorio Sep 2014 A1
20140278391 Braho et al. Sep 2014 A1
20140282210 Bianconi Sep 2014 A1
20140284384 Lu et al. Sep 2014 A1
20140288933 Braho et al. Sep 2014 A1
20140291401 Nakamura Oct 2014 A1
20140297058 Barker et al. Oct 2014 A1
20140299665 Barber et al. Oct 2014 A1
20140312121 Lu et al. Oct 2014 A1
20140319220 Coyle Oct 2014 A1
20140319221 Oberpriller et al. Oct 2014 A1
20140326787 Barten Nov 2014 A1
20140332590 Wang et al. Nov 2014 A1
20140344943 Todeschini et al. Nov 2014 A1
20140346233 Liu et al. Nov 2014 A1
20140351317 Smith et al. Nov 2014 A1
20140353373 Van Horn et al. Dec 2014 A1
20140361073 Qu et al. Dec 2014 A1
20140361082 Xian et al. Dec 2014 A1
20140362184 Jovanovski et al. Dec 2014 A1
20140363015 Braho Dec 2014 A1
20140369511 Sheerin et al. Dec 2014 A1
20140374483 Lu Dec 2014 A1
20140374485 Xian et al. Dec 2014 A1
20150001301 Ouyang Jan 2015 A1
20150001304 Todeschini Jan 2015 A1
20150003673 Fletcher Jan 2015 A1
20150009338 Laffargue et al. Jan 2015 A1
20150009610 London et al. Jan 2015 A1
20150014416 Kotlarsky et al. Jan 2015 A1
20150021397 Rueblinger et al. Jan 2015 A1
20150028102 Ren et al. Jan 2015 A1
20150028103 Jiang Jan 2015 A1
20150028104 Ma et al. Jan 2015 A1
20150029002 Yeakley et al. Jan 2015 A1
20150032709 Maloy et al. Jan 2015 A1
20150039309 Braho et al. Feb 2015 A1
20150039878 Barten Feb 2015 A1
20150040378 Saber et al. Feb 2015 A1
20150048168 Fritz et al. Feb 2015 A1
20150049347 Laffargue et al. Feb 2015 A1
20150051992 Smith Feb 2015 A1
20150053766 Havens et al. Feb 2015 A1
20150053768 Wang et al. Feb 2015 A1
20150053769 Thuries et al. Feb 2015 A1
20150060544 Feng et al. Mar 2015 A1
20150062366 Liu et al. Mar 2015 A1
20150063215 Wang Mar 2015 A1
20150063676 Lloyd et al. Mar 2015 A1
20150063889 Kojima Mar 2015 A1
20150069130 Gannon Mar 2015 A1
20150071819 Todeschini Mar 2015 A1
20150078627 Fukase Mar 2015 A1
20150083800 Li et al. Mar 2015 A1
20150086114 Todeschini Mar 2015 A1
20150088522 Hendrickson et al. Mar 2015 A1
20150096872 Woodburn Apr 2015 A1
20150099557 Pettinelli et al. Apr 2015 A1
20150100196 Hollifield Apr 2015 A1
20150102109 Huck Apr 2015 A1
20150115035 Meier et al. Apr 2015 A1
20150127791 Kosecki et al. May 2015 A1
20150128116 Chen et al. May 2015 A1
20150129659 Feng et al. May 2015 A1
20150133047 Smith et al. May 2015 A1
20150134470 Hejl et al. May 2015 A1
20150136851 Harding et al. May 2015 A1
20150136854 Lu et al. May 2015 A1
20150142492 Kumar May 2015 A1
20150144692 Hejl May 2015 A1
20150144698 Teng et al. May 2015 A1
20150144701 Xian et al. May 2015 A1
20150149946 Benos et al. May 2015 A1
20150161429 Xian Jun 2015 A1
20150169925 Chen et al. Jun 2015 A1
20150169929 Williams et al. Jun 2015 A1
20150178523 Gelay et al. Jun 2015 A1
20150178534 Jovanovski et al. Jun 2015 A1
20150178535 Bremer et al. Jun 2015 A1
20150178536 Hennick et al. Jun 2015 A1
20150178537 El Akel et al. Jun 2015 A1
20150181093 Zhu et al. Jun 2015 A1
20150181109 Gillet et al. Jun 2015 A1
20150193644 Kearney et al. Jul 2015 A1
20150220753 Zhu et al. Aug 2015 A1
20150221077 Kawabata et al. Aug 2015 A1
20150281019 Hashizume Oct 2015 A1
20150312780 Wang et al. Oct 2015 A1
20150324623 Powilleit Nov 2015 A1
20150327012 Bian et al. Nov 2015 A1
20160025697 Alt et al. Jan 2016 A1
20160042241 Todeschini Feb 2016 A1
20160057230 Todeschini et al. Feb 2016 A1
20160062473 Bouchat et al. Mar 2016 A1
20160092805 Geisler et al. Mar 2016 A1
20160101936 Chamberlin Apr 2016 A1
20160104019 Todeschini et al. Apr 2016 A1
20160104274 Jovanovski et al. Apr 2016 A1
20160117627 Raj et al. Apr 2016 A1
20160125217 Todeschini May 2016 A1
20160125342 Miller et al. May 2016 A1
20160171597 Todeschini Jun 2016 A1
20160171666 McCloskey Jun 2016 A1
20160171775 Todeschini et al. Jun 2016 A1
20160171777 Todeschini et al. Jun 2016 A1
20160174674 Oberpriller et al. Jun 2016 A1
20160178479 Goldsmith Jun 2016 A1
20160178685 Young et al. Jun 2016 A1
20160178707 Young et al. Jun 2016 A1
20160179132 Harr Jun 2016 A1
20160179143 Bidwell et al. Jun 2016 A1
20160179368 Roeder Jun 2016 A1
20160179378 Kent et al. Jun 2016 A1
20160180130 Bremer Jun 2016 A1
20160180133 Oberpriller et al. Jun 2016 A1
20160180136 Meier et al. Jun 2016 A1
20160180594 Todeschini Jun 2016 A1
20160180663 McMahan et al. Jun 2016 A1
20160180713 Bernhardt et al. Jun 2016 A1
20160185136 Ng et al. Jun 2016 A1
20160185291 Chamberlin Jun 2016 A1
20160186926 Oberpriller et al. Jun 2016 A1
20160188861 Todeschini Jun 2016 A1
20160188939 Sailors et al. Jun 2016 A1
20160188940 Lu et al. Jun 2016 A1
20160188941 Todeschini et al. Jun 2016 A1
20160188942 Good et al. Jun 2016 A1
20160188943 Franz Jun 2016 A1
20160188944 Wilz, Sr. et al. Jun 2016 A1
20160189076 Mellott et al. Jun 2016 A1
20160189087 Morton et al. Jun 2016 A1
20160189088 Pecorari et al. Jun 2016 A1
20160189092 George et al. Jun 2016 A1
20160189284 Mellott et al. Jun 2016 A1
20160189288 Todeschini et al. Jun 2016 A1
20160189366 Chamberlin et al. Jun 2016 A1
20160189443 Smith Jun 2016 A1
20160189447 Valenzuela Jun 2016 A1
20160189489 Au et al. Jun 2016 A1
20160192051 DiPiazza et al. Jun 2016 A1
20160202951 Pike et al. Jul 2016 A1
20160202958 Zabel et al. Jul 2016 A1
20160202959 Doubleday et al. Jul 2016 A1
20160203021 Pike et al. Jul 2016 A1
20160203429 Mellott et al. Jul 2016 A1
20160203797 Pike et al. Jul 2016 A1
20160203820 Zabel et al. Jul 2016 A1
20160204623 Haggerty et al. Jul 2016 A1
20160204636 Allen et al. Jul 2016 A1
20160204638 Miraglia et al. Jul 2016 A1
20160255241 Harashima et al. Sep 2016 A1
20160282807 Kinoshita et al. Sep 2016 A1
20160292477 Bidwell Oct 2016 A1
20160314276 Wilz et al. Oct 2016 A1
20160314294 Kubler et al. Oct 2016 A1
20160316190 McCloskey et al. Oct 2016 A1
20160327614 Young et al. Nov 2016 A1
20160343163 Venkatesha et al. Nov 2016 A1
20160364914 Todeschini Dec 2016 A1
20160373847 Vargo et al. Dec 2016 A1
20160377414 Thuries et al. Dec 2016 A1
20170010141 Ackley Jan 2017 A1
20170010328 Mullen et al. Jan 2017 A1
20170010780 Waldron, Jr. et al. Jan 2017 A1
20170016714 Laffargue et al. Jan 2017 A1
20170018094 Todeschini Jan 2017 A1
20170046603 Lee et al. Feb 2017 A1
20170047864 Stang et al. Feb 2017 A1
20170053146 Liu et al. Feb 2017 A1
20170053147 Germaine et al. Feb 2017 A1
20170053647 Nichols et al. Feb 2017 A1
20170055606 Xu et al. Mar 2017 A1
20170060316 Larson Mar 2017 A1
20170060494 Palmen et al. Mar 2017 A1
20170061961 Nichols et al. Mar 2017 A1
20170064634 Van Horn et al. Mar 2017 A1
20170083730 Feng et al. Mar 2017 A1
20170083734 Henning et al. Mar 2017 A1
20170091502 Furlong et al. Mar 2017 A1
20170091706 Lloyd et al. Mar 2017 A1
20170091741 Todeschini Mar 2017 A1
20170091904 Ventress, Jr. Mar 2017 A1
20170092908 Chaney Mar 2017 A1
20170094238 Germaine et al. Mar 2017 A1
20170098947 Wolski Apr 2017 A1
20170100949 Celinder et al. Apr 2017 A1
20170108838 Todeschini et al. Apr 2017 A1
20170108895 Chamberlin et al. Apr 2017 A1
20170118355 Wong et al. Apr 2017 A1
20170123598 Phan et al. May 2017 A1
20170124369 Rueblinger et al. May 2017 A1
20170124396 Todeschini et al. May 2017 A1
20170124687 McCloskey et al. May 2017 A1
20170126873 McGary et al. May 2017 A1
20170126904 D'Armancourt et al. May 2017 A1
20170139012 Smith May 2017 A1
20170140329 Bernhardt et al. May 2017 A1
20170140731 Smith May 2017 A1
20170147847 Berggren et al. May 2017 A1
20170150124 Thuries May 2017 A1
20170169198 Nichols Jun 2017 A1
20170171035 Lu et al. Jun 2017 A1
20170171703 Maheswaranathan Jun 2017 A1
20170171803 Maheswaranathan Jun 2017 A1
20170180359 Wolski et al. Jun 2017 A1
20170180577 Nguon et al. Jun 2017 A1
20170181299 Shi et al. Jun 2017 A1
20170182819 Gonzalez et al. Jun 2017 A1
20170190192 Delario et al. Jul 2017 A1
20170193432 Bernhardt Jul 2017 A1
20170193461 Celinder et al. Jul 2017 A1
20170193727 Van Horn et al. Jul 2017 A1
20170199266 Rice et al. Jul 2017 A1
20170200108 Au et al. Jul 2017 A1
20170200275 McCloskey et al. Jul 2017 A1
20170206643 Weiss et al. Jul 2017 A1
20170309011 Hori et al. Oct 2017 A1
20180007215 Zakharov Jan 2018 A1
20180131815 Spivakovsky et al. May 2018 A1
20180198937 Yoshizawa Jul 2018 A1
20180227463 Fukase Aug 2018 A1
20180268534 Kaneko Sep 2018 A1
20190116275 Edwards et al. Apr 2019 A1
20190213369 Ackley et al. Jul 2019 A1
20190215410 D'Armancourt et al. Jul 2019 A1
20200082131 Ackley et al. Mar 2020 A1
20200145546 Alaganchetty et al. May 2020 A1
20200234422 Esumi et al. Jul 2020 A1
20210045268 Easton et al. Feb 2021 A1
20210197601 Celinder et al. Jul 2021 A1
20210218857 D'Armancourt et al. Jul 2021 A1
20210295117 Lim et al. Sep 2021 A1
20210405938 Gutierrez et al. Dec 2021 A1
20220067316 Ackley Mar 2022 A1
20220222500 Ackley Jul 2022 A1
Foreign Referenced Citations (13)
Number Date Country
2270746 Jan 2011 EP
3336770 Jun 2018 EP
09-027049 Jan 1997 JP
2002-281287 Sep 2002 JP
2004-341764 Dec 2004 JP
4644283 Mar 2011 JP
2011-110777 Jun 2011 JP
2013-151126 Aug 2013 JP
10-0767433 Oct 2007 KR
2013163789 Nov 2013 WO
2013173985 Nov 2013 WO
2014019130 Feb 2014 WO
2014110495 Jul 2014 WO
Non-Patent Literature Citations (87)
Entry
US 8,548,242 B1, 10/2013, Longacre (withdrawn)
US 8,616,454 B2, 12/2013, Havens et al. (withdrawn)
European search report dated Jun. 22, 2022 for EP Application No. 22160775.7, 7 pages.
Notice of Allowance received for U.S. Appl. No. 17/301,259, dated Jun. 8, 2022, 9 pages.
Notice of Allowance and Fees Due (PTOL-85) dated Nov. 23, 2022 for U.S. Appl. No. 17/468,425.
Communication about intention to grant a European patent dated Dec. 23, 2022 for EP Application No. 19150493.5.
Decision to grant a European patent received for European Application No. 19150495.0, dated Mar. 24, 2022, 2 pages.
Non-Final Rejection dated Aug. 2, 2022 for U.S. Appl. No. 17/468,425, 8 pages.
Notice of Allowance received for U.S. Appl. No. 16/930,022, dated Jun. 8, 2021, 12 pages.
Notice of Allowance received for U.S. Appl. No. 16/930,022, dated Sep. 22, 2021, 2 pages.
Office Action for U.S. Appl. No. 14/824,455 dated Nov. 30, 2018, 17 pages.
Office Action for U.S. Appl. No. 16/240,067, dated Jan. 10, 2020, 28 pages.
Supplemental Notice of Allowability (PTOL-37) dated Sep. 10, 2020 for U.S. Appl. No. 16/240,295.
Supplemental Notice of Allowability dated Aug. 21, 2020 for U.S. Appl. No. 16/240,295.
Supplemental Notice of Allowability received for U.S. Appl. No. 17/010,515, dated Oct. 15, 2021, 2 pages.
U.S. Appl. No. 13/367,978 for a Laser Scanning Module Employing an Elastomeric U-Hinge Based Laser Scanning Assembly, filed Feb. 7, 2012, Feng et al.
U.S. Appl. No. 14/277,337 for Multipurpose Optical Reader, filed May 14, 2014, Jovanovski et al.
U.S. Appl. No. 14/283,282 for Terminal Having Illumination and Focus Control filed May 21, 2014, Liu et al.
U.S. Appl. No. 14/446,391 for Multifunction Point of Sale Apparatus With Optical Signature Capture filed Jul. 30, 2014, Good et al.
U.S. Appl. No. 14/676,109 for Indicia Reader, filed Apr. 1, 2015, Richard Walter Huck.
Notice of Allowance and Fees Due (PTOL-85) dated Sep. 23, 2022 for U.S. Appl. No. 17/301,259.
“Detecting Barcodes in Images with Python and OpenCV” [online] [retrieved on May 27, 2019] Retrieved from the Internet: <https://www.pyimagesearch.com/2014/11/24/detecting-barcodes-images-python-opencv/> dated Nov. 24, 2014.
Anonymous: “How can I quantify difference between two images?—Stack Overflow”, [online] [retrieved on May 27, 2019] Retrieved from the Internet:URL:https://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images> dated Apr. 21, 2015, pp. 1-5.
Basic Image Enhancement and Analysis Techniques, 4 pages, [online], [retrieved on Oct. 3, 2016]. Retrieved from the Internet <URL:https://in.mathworks.com/help/images/image-enhancement-and-analysis.html>.
Communication about intention to grant a European patent received for EP Application No. 19150495.0, dated Nov. 15, 2021, 6 pages.
Communication Pursuant to Article 94(3) issued in European Application No. 19150493.5 dated Jul. 15, 2021, 7 pages.
Communication Pursuant to Article 94(3) issued in European Application No. 19150495.0 dated Jul. 9, 2021, 6 pages.
Communication Pursuant to Article 94(3) received for European Application No. 19150494.3, dated Aug. 13, 2021, 6 pages.
Communication pursuant to Rules 70(2) and 70a(2) for European Application No. 19150493.5, dated Jul. 15, 2019, 2 pages.
Communication pursuant to Rules 70(2) and 70a(2) for European Application No. 19150494.3, dated Jul. 15, 2019, 2 pages.
Communication pursuant to Rules 70(2) and 70a(2) for European Application No. 19150495.0, dated Jul. 15, 2019, 2 pages.
Corrected Notice of Allowability dated Aug. 7, 2020 for U.S. Appl. No. 16/240,140.
Corrected Notice of Allowability dated Jul. 21, 2020 for U.S. Appl. No. 16/240,295.
Corrected Notice of Allowability dated Jun. 24, 2020 for U.S. Appl. No. 16/240,067.
Corrected Notice of Allowability dated Sep. 2, 2020 for U.S. Appl. No. 16/240,067.
Corrected Notice of Allowability received for U.S. Appl. No. 16/930,022, dated Sep. 9, 2021, 3 pages.
Corrected Notice of Allowability received for U.S. Appl. No. 17/010,515, dated Nov. 5, 2021, 2 pages.
European Search Report and Search Opinion Received for EP Application No. 19150493.5, dated May 24, 2019, 8 pages.
Examiner initiated interview summary (PTOL-413B) dated Apr. 16, 2020 for U.S. Appl. No. 16/240,067.
Extended European Search Report for European Application No. 19150494.3 dated Jun. 6, 2019.
Extended European Search Report for European Application No. 19150495.0 dated Jun. 4, 2019.
Faulty Barcode Detection, 11 pages, [online], [retrieved on Oct. 24, 2016]. Retrieved from the Internet <URL:http://tewson.com/sites/default/files/barcode.pdf>.
Final Rejection dated Jan. 10, 2020 for U.S. Appl. No. 16/240,067.
Find Image Rotation and Scale Using Automated Feature Matching, 7 pages, [online], [retrieved on Oct. 3, 2016]. Retrieved from the Internet <URL: hhttps://www.mathworks.com/examples/matlab-computer-vision/mw/vision_product-visionrecovertform-find-image-rotation-and-scale-using-automated-feature-matching>.
Image Analysis, 1 page, [online], [retrieved on Nov. 7, 2016]. Retrieved from the Internet <URL: http://in.mathworks.com/help/images/image-analysis.html>.
Image Enhancement, 1 page, [online], [retrieved on Oct. 3, 2016]. Retrieved from the Internet <URL: http://in.mathworks.com/help/images/image-enhancement-and-restoration.html>.
Imshowpair—compare differences between images, 6 pages, [online], [retrieved on Nov. 7, 2016]. Retrieved from the Internet <URL: http://in.mathworks.com/help/images/ref/imshowpair.html?requestedDomain=in.mathworks.com#bta3zrg>.
Non-Final Rejection dated Aug. 25, 2020 for U.S. Appl. No. 16/790,417.
Non-Final Rejection dated Feb. 8, 2022 for U.S. Appl. No. 17/301,259.
Non-Final Rejection dated Jul. 11, 2019 for U.S. Appl. No. 16/240,067.
Non-Final Rejection dated Jun. 26, 2019 for U.S. Appl. No. 16/240,140.
Non-Final Rejection dated Mar. 12, 2020 for U.S. Appl. No. 16/240,140.
Non-Final Rejection dated May 2, 2019 for U.S. Appl. No. 16/240,109.
Non-Final Rejection dated May 26, 2021 for U.S. Appl. No. 16/688,197.
Non-Final Rejection dated Nov. 27, 2020 for U.S. Appl. No. 16/688,197.
Notice of allowability dated Jan. 27, 2021 for U.S. Appl. No. 16/790,417.
Notice of Allowability dated Sep. 16, 2020 for U.S. Appl. No. 16/240,140.
Notice of Allowance and Fees Due (PTOL-85) dated Apr. 16, 2020 for U.S. Appl. No. 16/240,067.
Notice of Allowance and Fees Due (PTOL-85) dated Aug. 11, 2021 for U.S. Appl. No. 17/010,515.
Notice of Allowance and Fees Due (PTOL-85) dated Jul. 28, 2020 for U.S. Appl. No. 16/240,140.
Notice of Allowance and Fees Due (PTOL-85) dated Jun. 2, 2020 for U.S. Appl. No. 16/240,295.
Notice of Allowance and Fees Due (PTOL-85) dated Jun. 12, 2019 for U.S. Appl. No. 16/240,109.
Notice of Allowance and Fees Due (PTOL-85) dated Jun. 24, 2020 for U.S. Appl. No. 16/240,067.
Notice of Allowance and Fees Due (PTOL-85) dated Nov. 6, 2019 for U.S. Appl. No. 16/240,140.
Notice of Allowance and Fees Due (PTOL-85) dated Nov. 22, 2021 for U.S. Appl. No. 16/688,197.
Notice of Allowance and Fees Due (PTOL-85) dated Sep. 2, 2020 for U.S. Appl. No. 16/240,067.
Notice of Allowance and Fees Due (PTOL-85) dated Sep. 23, 2020 for U.S. Appl. No. 16/240,140.
Notice of Allowance for U.S. Appl. No. 16/240,109, dated Aug. 14, 2019, 10 pages.
Notice of allowance dated Dec. 31, 2020 for U.S. Appl. No. 16/790,417.
Notice of Allowance received for U.S. Appl. No. 16/688,197, dated Nov. 22, 2021, 8 pages.
Notice of Allowance received for U.S. Appl. No. 16/930,022, dated Aug. 23, 2021, 3 pages.
U.S. Appl. No. 16/688,197, filed Nov. 19, 2019, 2020-0082131, Allowed.
U.S. Appl. No. 16/240,109, filed Jan. 4, 2019, U.S. Pat. No. 10,546,160, Patented.
U.S. Patent Application for “Methods, Apparatuses, And Systems For Detecting Printing Defects And Contaminated Components Of A Printer”, Unpublished (filed Dec. 23, 2022, (Sebastien D'Armancourt, Inventor), (Datamax-O'Neil Corporation, Assignee), U.S. Appl. No. 18/146,201.
U.S. Patent Application for “Methods, Apparatuses, And Systems For Verifying Printed Image And Improving Print Quality”, Unpublished (filed Feb. 23, 2023), (Jose Guiterrez, Inventor), (Hand Held Products, Inc., Assignee), U.S. Appl. No. 18/173,463.
Annex to the communication dated Feb. 20, 2023 for EP Application No. 19150494.
EP Office Action dated Feb. 20, 2023 for EP Application No. 19150494.
Decision to grant a European patent dated May 8, 2023 for EP Application No. 19150493, 2 page(s).
Notice of Allowance and Fees Due (PTOL-85) dated Jan. 25, 2023 for U.S. Appl. No. 17/454,148.
Non-Final Rejection dated May 11, 2023 for U.S. Appl. No. 18/146,201, 14 page(s).
Extended European Search Report dated Jun. 29, 2023 for EP Application No. 23163411, 7 page(s).
Intention to grant dated Jun. 5, 2023 for EP Application No. 19150494, 9 page(s).
1 Non-Final Rejection dated Jul. 27, 2023 for U.S. Appl. No. 18/173,463, 8 page(s).
Decision to grant a European patent dated Sep. 14, 2023 for EP Application No. 19150494, 2 page(s).
Notice of Allowance and Fees Due (PTOL-85) dated Nov. 15, 2023 for U.S. Appl. No. 18/173,463, 9 page(s).
Notice of Allowance and Fees Due (PTOL-85) dated Oct. 16, 2023 for U.S. Appl. No. 18/146,201, 9 page(s).
Non-Final Rejection dated Dec. 21, 2023 for U.S. Appl. No. 18/306,904, 7 page(s).
Related Publications (1)
Number Date Country
20230041346 A1 Feb 2023 US
Provisional Applications (1)
Number Date Country
62614089 Jan 2018 US
Continuations (2)
Number Date Country
Parent 16688197 Nov 2019 US
Child 17651977 US
Parent 16240109 Jan 2019 US
Child 16688197 US