Evaluating images

Information

  • Patent Grant
  • 10185860
  • Patent Number
    10,185,860
  • Date Filed
    Friday, March 9, 2018
    6 years ago
  • Date Issued
    Tuesday, January 22, 2019
    6 years ago
Abstract
A method for evaluating an output pattern printed on a medium is described. A reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan based instance of the output pattern is rendered, which has a set of features at least corresponding to the printed output pattern and zero or more features additional thereto. A difference image, having the zero or more features of the rendered scan instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features including at least one feature, the computed difference image is evaluated in relation to a proximity of at least one feature to locations pixels of the reference pattern.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

The present application claims the benefit of U.S. patent application Ser. No. 15/585,347 for Evaluating Images filed May 3, 2017 (and published Aug. 17, 2017 as U.S. Patent Application Publication No. 2017/0235991), now U.S. Pat. No. 9,916,488, which claims the benefit of U.S. patent application Ser. No. 14/862,336 for Evaluating Images filed Sep. 23, 2015 (and published Mar. 23, 2017 as U.S. Patent Publication No. 2017/0083734), now U.S. Pat. No. 9,646,191. Each of the foregoing patent applications, patent publications, and patents is hereby incorporated by reference in its entirety.


TECHNOLOGY FIELD

The present invention relates generally to printing. More particularly, example embodiments of the present invention relate to evaluating symbols printed on media.


BACKGROUND

Generally speaking, data patterns, and indicia such as bar code patterns, data matrix patterns, Optical Character Recognition (OCR) fonts, text characters, graphic images, logos and other one dimensional (1D) and two dimensional (2D) patterns of geometric and graphic data (referred to herein as “patterns”) are useful in a wide variety of applications. Some printers and printing evaluating processes may be specialized for efficient printing of the data patterns on labels or other graphic media. For example, bar code printers may thus be widely deployed in various supply chain and identification applications.


Some bar codes, data patterns and other symbols comprise information of significant relevance, importance, or substance in relation to an operation, endeavor, or enterprise (“operation”). Some of the significant information may be mission-critical to an operation. The success of the operation may depend, at least in part, on the mission-critical information. Accurate presentation, transactional reliability, and security thus become significant factors in relation to mission-critical information. Such data may also have a high time value, low duration of fresh relevance, and related heightened levels of urgency, which may make timely handling or responsiveness appropriate based on the accurate presentation.


In view of their significance, quality related verification is a significant feature of various printing evaluating processes and printing evaluating systems are thus associated with the production of mission-critical printed media. The printed data are verified using scanning and validation processes to compare an output instance of an image with a stored digital reference or programmed original instance of the image. An acceptable correlation may be determined based on the comparison. For example, alphanumeric, pictographic, or character based, and other text related data may be verified using an OCR process in relation to clarity, legibility, readability, and correct conformance to the reference or original.


Barcodes and other data patterns may be verified based on a scanning process. For example, a brief, simple scan may be performed to verify that a barcode pattern, QR code pattern or the like is actually scannable, and may thus be read, decoded, and stored. Additionally or alternatively, the data patterns may be subject to scanning to ascertain their compliance with a programmed quality specification, and/or to quality standards promulgated by the American National Standards Institute (ANSI), International Electrotechnical Commission (IEC) International Organization for Standardization (ISO), and other authorities.


For example, 1D Universal Product Code (UPC) and 2D matrix data patterns may be specified to comply with quality specifications set forth in the ‘ANSI/UCC5’ standard. Linear (1D) barcode patterns may be specified to comply with quality specifications set forth in the ‘ISO/IEC 12516’ standard. Quick Response (QR), Han Xin, and other 2D data patterns may be specified to comply with quality specifications set forth in the ‘ISO/IEC 15415’ standard.


These verification techniques however may be associated with nontrivial costs in relation to operator time, attention, and diversion from more productive and/or profitable activity. Moreover, access to reference instances corresponding to printed output products reflective of intended, original, programmed, stored, modeled, and/or otherwise “correct” printed product outcomes, may be lacking, unavailable, stale or corrupt.


Separate technologies and independent applications may be used to fully verify the correctness of the data. These however may tend to add complexity, cost, and the possibility of introducing inaccuracy. An OCR algorithm may be used in an effort to compute an estimate or essentially “guess” at the correctness of a printout without reference to actual input or other reference data on which the printout is ostensibly based.


For example, the ‘Arabic’ numeral ‘4’ may be modeled for printing a corresponding feature with an open upper portion. However, OCR may read a ‘4’ character as “correct,” which has the upper portion closed by the vertex of an acute angle. The OCR may thus fail to ascertain actual compliance of an output print product to a reference input.


To mitigate the effects of latency and costs associated with visual examination of print products, inspections may be limited to “spot checks.” However, such spot checks are typically performed only over portions of an entire print product. The print product portions are typically significantly smaller than the entire print product. For example, while a print product may comprise a total of 100, 1000, or 10,000 labels a corresponding spot check performed over five percent (5%) of the total product samples only five (5), 50 or 500 of the product, respectively. These spot checks essentially thus overlook 95, 950, or 9,500 of the labels, respectively. Such visual inspections may miss some quality deficient labels and may thus be error-prone, in least over the major portions of the print products that remain unexamined. Thus, the actual correctness of any printout, in its entirety, may remain effectively indeterminate and best on a statistically inferred quality level. Imperfect individual products may escape notice.


Some contemporary applications however may rely however, at least in part, on verifying the accuracy of the printed products. For example, accuracy in the labeling of prescription drugs may comprise a serious quality specification for printing evaluating processes undertaken by pharmacies and other health care endeavors. Lifesaving drugs, powerful narcotics, radioactive pharmaceuticals, and therapeutic substances and solutions may be dangerous if dosed or otherwise used improperly or incorrectly provide a clear and high example of the importance of accurate labeling.


In these respects, verifying the accurate printing of correct labels for medicine may thus be considered mission-critical to pharmacies and in other health care scenarios. Verification based the typical OCR and visual examination approaches may be insufficient in such mission-critical printing applications.


Therefore, it would therefore be useful to verify printed media products of mission-critical printing processes to confirm that information presented by output images correspond accurately to original instances or input digital images, on which the printing is based. It would also be useful to verify the printed media products without necessarily implicating, or resorting to either OCR based confirmation of text related images or for printed data patterns, to grading related to standards, specifications, and/or simplistic scannability checks. Further, it would be useful to verify the printed media products automatically with a high degree of accuracy and testing throughput speed, which obviates “spot checking” of mere sampled portions of a total printing product output, yet adds no significant latency or demands on an operator attention.


SUMMARY

Accordingly, in one aspect, an example embodiment of the present invention embraces a method for evaluating printed media products of mission-critical printing processes to verify or confirm that information presented by output images correspond accurately to original instances and/or input digital ‘reference’ images, on which the printing is based. Example embodiments of the present invention are operable for verifying the printed media products without implicating, or resorting to OCR based confirmation of text related images or for printed data patterns, to grading related to standards, specifications, yet exceeding the confirmation of simply checking scannability of the media products. Further, example embodiments are operable for verifying the printed media products automatically with a high degree of accuracy and testing throughput speed, which obviate spot checking sampled portions of a total printing product output, yet add no significant latency or demand on an operator's attention and focus.


An example embodiment of the present invention relates to a method for evaluating an output pattern printed on a medium. A reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan based instance of the output pattern is rendered, which comprises a set of features at least corresponding to a scan of the printed output pattern, and zero or more features additional thereto. A difference image, comprising the zero or more features of the rendered scan based instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features comprising at least one feature, the computed difference image is evaluated in relation to a proximity of the at least one feature to locations of one or more picture elements (pixels) of the reference pattern.


In an example embodiment, the computation of the difference image comprises performing an ‘exclusive OR’ (XOR) logical operation over the pixels of the rendered scan based instance of the output pattern, relative to each corresponding pixel of the stored reference pattern. The at least one of the zero or more features corresponds to a superfluous “defect” feature, which is printed in the output pattern apart from a desired target pattern modeled by the stored reference pattern.


Based on the evaluation step, a determination may be made in relation to the proximity. It may be determined that an unacceptably small distance separates a spatial position of one or more pixels of the at least one of the zero or more features, and a spatial position corresponding to the location of the one or more stored reference pattern pixels. The distance between the defect feature and the output pattern may be determined to be so small that graphic information, intended for representation by the output pattern, may possibly be corrupted or confused by the defect feature. Upon the determination, a warning is presented in relation to the unacceptably small separation. The warning calls attention to the defect and its position proximate to the output pattern, which allows (and/or may prompt) a review of the output pattern.


An example embodiment may be implemented in which a subsequent printing of the output pattern is adjusted based on the determination of the insufficient proximity. In the adjusted subsequent printing, the at least one of the zero or more features with the insufficient proximity is eliminated from an output pattern of the subsequent printing. The subsequent printing may be adjusted based on a user input received in response to a review of the presented warning. The subsequent printing may also or alternatively be adjusted automatically based on the determination.


Based on the evaluation, it may also (or alternatively) be determined that an acceptable distance separates a position of one or more pixels of the at least one of the zero or more features, and a position corresponding to the location of the one or more stored reference pattern pixels. The distance between the “acceptable” defect feature and the output pattern is determined to be great enough that the graphic information, intended for representation by the output pattern, is unlikely to be corrupted or confused by the defect feature. Defect features determined as sufficiently distant from the output pattern may be indicated as such, or ignored.


The stored reference pattern comprises a graphic model for the printing of the output pattern. The output pattern is thus printed based correspondingly on the stored reference pattern. An example embodiment may be implemented in which the evaluation method thus comprises the printing of the output pattern on the medium based on the stored reference pattern. Further, the rendering of the scan based instance may comprise scanning the output pattern printed on the medium. The scan based instance may thus be rendered based on the scanning of the printed output pattern.


An example embodiment of the present invention relates to a method for evaluating an image printed on an output media product. The output image comprises a pattern printed on a medium. The pattern may comprise a 1D or a 2D data pattern, symbol, text, graphics, or indicia of any kind.


The medium may comprise paper, plastic, or other commonly used print media, on which the patterns are printed with ink, dye, thermal appliqué, or other techniques. The medium may also comprise a metallic or other material, on which the patterns are marked using laser, chemical, or other etching related printing techniques, or with dyes, stains or the like.


The reference pattern may comprise an input to a printing evaluating system, which is stored as instructions on a non-transitory computer readable storage medium. The non-transitory computer-readable storage medium may comprise memory, disk, drive, and/or flash-based storage operable electromagnetically, electro-optically, or electronically. The input may be received by streaming over a network connection or loaded from an external storage medium, such as a flash drive, an optical disk, or by other modes.


In another aspect, example embodiments of the present invention embrace a printing evaluation system. An example embodiment of the present invention relates to a system for evaluating an output pattern printed on a medium. The evaluating system comprises a non-transitory computer readable storage medium operable for storing a reference pattern comprising a reference pattern. The output pattern is printed on the medium based correspondingly on the stored reference pattern.


The system also comprises a scanner, which is operable for rendering a scan based instance of the output pattern. The rendered scan based instance comprises a set of features at least corresponding to the printed output pattern, and zero or more features additional thereto.


Further, the system comprises one or more image processors. The processors are operable for computing a difference image, and for evaluating the computed difference image. The difference image is computed based on a comparison of the rendered scan instance to the stored reference pattern. The computed difference image comprises the zero or more features of the rendered scan instance.


An example embodiment may be implemented in which the computation of the difference image comprises executing an XOR logical operation over the pixels of the rendered scan based instance of the output pattern, relative to each corresponding pixel of the stored reference pattern. The computed difference image is evaluated in relation to a proximity of at least one feature to locations of one or more pixels of the reference pattern.


The evaluation of the computed difference image by the image processors may comprise determining, based on the evaluation of the computed difference image, that the proximity comprises an unacceptably small separation between a position of one or more pixels of a defect feature to the location of the one or more stored reference pattern pixels. A warning, based on the determining step, is presented in relation to the determination of the unacceptable proximity of the defect. If the proximity is determined to be acceptably large, then an acceptability of the defect may be indicated.


The evaluating system may further comprise a printer component operable for printing the output pattern on the medium based on the stored reference pattern. The stored reference pattern comprises a graphic model, based on which the printer component prints the corresponding output pattern.


The printer component may also be operable for adjusting a subsequent printing of the output pattern based on the determination that the proximity of a defect is unacceptable. The at least one of the zero or more features may thus be eliminated from an output pattern of the subsequent printing. The printer may adjust the subsequent printing in response to an operator input, or automatically.


In an example embodiment, the printing evaluating system is operable for evaluating the output image based on a printing evaluating process, such as the method summarized above.


In yet another aspect, example embodiments of the present invention embrace a non-transitory computer readable storage medium. An example embodiment relates to a non-transitory computer readable storage medium comprising instructions, which when executed by a processor are operable for causing, controlling, and/or programming a printing evaluating process relating to evaluating an output image comprising a pattern printed on a medium, such as the method summarized above.


In still yet another aspect, example embodiments of the present invention embrace media products. An example embodiment relates to a media product comprising an output image, which comprises a pattern printed on a medium by a process operable for evaluating the output image, such as the method summarized above. The media product comprises patterns, images, graphic designs, geometric shapes, symbols, alphanumeric, pictographic, character related and other text, and 1D linear and 2D matrix data patterns, labels, emblems, designs and the like (“patterns”) printed on printable media substrates.


The text may comprise alphanumeric, pictographic, character based, and other patterns related to writing and script. The 1D data patterns may comprise barcode patterns such as Universal Product Code (UPC) barcodes and others. The 2D data patterns comprise matrix patterns, such as Han Xin data patterns, Quick Response (QR) data patterns and other geometrically arrayed data patterns.


The printed medium may comprise a substrate such as paper or plastic on which the symbols are marked with inks, heat-sensitive, or other marking materials. The substrate may also (or alternatively) comprise metal or other materials on which the symbols are marked by etching (e.g., laser or chemical), stains, or other means.


The foregoing illustrative summary, as well as other example features, functions and/or aspects of embodiments of the invention, and the manner in which the same are accomplished, are further explained within the following detailed description of example embodiments and each figure (FIG.) of the accompanying drawings.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 depicts a flowchart of an example printing evaluating process, according to an embodiment of the present invention;



FIG. 2 depicts a flowchart for an example process for evaluating a computed difference image, according to an embodiment of the present invention;



FIG. 3 depicts an example printing evaluating system, according to an embodiment of the present invention;



FIG. 4 depicts an example image processor, according to an embodiment of the present invention;



FIG. 5 depicts an example computed difference image, according to an embodiment of the present invention;



FIG. 6A depicts an example 1D bar code pattern, according to an embodiment of the present invention;



FIG. 6B depicts another example 1D bar code pattern, according to an embodiment of the present invention;



FIG. 6C depicts an example 2D matrix code pattern, according to an embodiment of the present invention;



FIG. 6D depicts an example text based code pattern, according to an embodiment of the present invention; and



FIG. 7 depicts an example computer network, according to an embodiment of the present invention.





DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

Example embodiments of the present invention are described in relation to a method and system for evaluating an output pattern printed on a medium. A reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan based instance of the output pattern is rendered, which comprises a set of features at least corresponding to the printed output pattern and zero or more features additional thereto. A difference image, having the zero or more features of the rendered scan instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features comprising at least one feature, the computed difference image is evaluated in relation to a proximity of at least one feature to locations pixels of the reference pattern.


Example embodiments of the present invention thus evaluate printed media products of mission-critical printing processes to verify or confirm that information presented by output images correspond accurately to original instances and/or input digital reference patterns, on which the printing is based. Example embodiments of the present invention thus verify the printed media products without implicating, or resorting to OCR based confirmation of text related images or for printed data patterns, to grading related to standards, specifications, yet exceeding the confirmation of simply checking scannability of the media products. Further, example embodiments verify the printed media products automatically with a high degree of accuracy and testing throughput speed, which obviate spot checking sampled portions of a total printing product output, yet add no significant latency or demand on an operator's attention and focus.


Overview.


An example embodiment of the present invention relates to a method for evaluating an output pattern printed on a medium. A reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan instance of the output pattern is rendered, which comprises a set of features at least corresponding to the printed output pattern and zero or more features additional thereto. A difference image, comprising the zero or more features of the rendered scan instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features comprising at least one feature, the computed difference image is evaluated in relation to a proximity of at least one feature to locations of one or more pixels of the reference pattern.


In an example embodiment, the computation of the difference image comprises performing an ‘exclusive OR’ (XOR) logical operation over the pixels of the rendered scan based instance of the output pattern, relative to each corresponding pixel of the stored reference pattern. The at least one of the zero or more features may correspond to a superfluous “defect” feature printed in the output pattern apart from a desired target pattern modeled by the stored reference pattern.


Based on the evaluation step, a determination may be made in relation to the proximity. It may be determined that an unacceptably small distance separates a spatial position of one or more pixels of the at least one of the zero or more features, and a spatial position corresponding to the location of the one or more stored reference pattern pixels. The distance between the defect feature and the output pattern may be determined to be so small that graphic information, intended for representation by the output pattern, may possibly be corrupted or confused by the defect feature. Upon the determination, a warning is presented in relation to the unacceptably small separation. The warning calls attention to the defect and its position proximate to the output pattern, which allows or may prompt a review of the output pattern.


An example embodiment may be implemented in which a subsequent printing of the output pattern is adjusted. In the adjusted subsequent printing, the at least one of the zero or more features is eliminated from an output pattern of the subsequent printing. The subsequent printing may be adjusted based on a user input received in response to a review of the presented warning. The subsequent printing may also or alternatively be adjusted automatically based on the determination.


Based on the evaluation, it may be determined that an acceptable distance separates a position of one or more pixels of the at least one of the zero or more features, and a position corresponding to the location of the one or more stored reference pattern pixels. The distance between the “acceptable” defect feature and the output pattern is determined to be sufficient that the graphic information, intended for representation by the output pattern, is unlikely to be corrupted or confused by the acceptable defect feature. Upon the determination that a defect feature is sufficiently distant from the output pattern, an indication may be presented in relation to its acceptability, or acceptable defects may be ignored.


The stored reference pattern comprises a graphic model. The output pattern may be printed, and may thus correspond to the stored reference pattern based on the graphic model. An example embodiment may be implemented in which the evaluation method thus comprises the printing of the output pattern on the medium based on the stored reference pattern. Further, the rendering of the scan based instance may comprise scanning the output pattern printed on the medium. The scan based instance may thus be rendered based on the scanning of the output pattern.


Example embodiments of the present invention relate to a non-transitory computer readable storage medium comprising instructions operable for causing, controlling, or programming one or more processors for performing the method above.


Example embodiments of the present invention relate to an evaluation system operable in relation to performance of the method described below, and to printed media products evaluated by therewith.


Example Printing Evaluation Process.


An example embodiment of the present invention relates to a method for evaluating an image printed on an output media product. FIG. 1 depicts a flowchart of an example printing evaluating process 10, according to an embodiment of the present invention. The output image comprises a pattern printed on a medium. The pattern may comprise a 1D or a 2D data pattern, text, graphics, or indicia (patterns) of any kind.


The medium may comprise paper, plastic, or other commonly used print media, on which the patterns are printed with ink, dye, thermal appliqué, or other techniques. The medium may also comprise a metallic or other material, on which the patterns are marked using laser, chemical, or other etching related printing techniques.


The evaluating method 10 comprises process steps related to printing an output media product. At block 101, a reference pattern input is received.


In step 11 of the evaluation process, the input reference pattern is stored. The stored reference pattern comprises a set of reference features. The reference features comprise an instance of the printed pattern.


At block 102, the output media product is printed. The output media product comprises an output pattern, which is printed onto a blank substrate medium. The output pattern corresponds graphically to the stored reference pattern. The stored reference pattern is operable as a graphic model based on which the output pattern is printed and to which, the output pattern corresponds.


For example, the reference pattern may comprise an input to a printing evaluating system. The reference pattern input is stored as instructions on a non-transitory computer readable storage medium. The non-transitory computer-readable storage medium may comprise memory, disk, drive, and/or flash-based storage operable electromagnetically, electro-optically, or electronically. The reference pattern input may also (or alternatively) be received by streaming over a network connection or loaded from an external storage medium or device, such as a flash drive, an optical disk, or by other modes.


At block 120, the output media product, comprising the printed output image pattern is scanned. The scan may be performed over the output media product in real time, near real time, without intentional delay, or soon after a completion of its production or its output.


In step 12 of the evaluation process, a scan based instance image of the output pattern is rendered based on the scan. The rendered scan instance comprises at least a set of scan features at least corresponding to the set of reference features. An example embodiment may be implemented in which the scope of validation is thus limited to one or more defined regions of the printed output.


The rendered scan instance may (or may not) comprise superfluous defect features. The defect features comprise features that appear in the printed media product, but which are not present in the stored reference pattern. The rendered scan instance thus comprises zero or more features in addition to the set of reference features.


In step 13 of the evaluation process, a difference image is computed. The computed difference image comprises the zero or more features of the rendered scan instance based on a comparison the rendered scan instance to the stored reference instance.


If the rendered scan instance is free of defects, then the computed difference image may be empty, blank, or void. The number of features in a defect free rendered scan instance is thus equal to zero.


However, the rendered scan instance (and the zero or more features) may comprise at least one defect feature that appears in the printed media product, but which are not present in the stored reference pattern. In this case, the computed difference image comprises a number of elements corresponding to the at least one defect feature.


An example embodiment may be implemented in which the difference image is computed according to an XOR logical operation. The XOR operation is computed in relation to a plurality of pixels of the rendered scan instance of the output image, relative to each corresponding pixel of the stored reference pattern.


In step 14 of the evaluation process, the computed difference image is then evaluated. The evaluation of the difference image determines whether a proximity of the at least one defect feature is acceptable in relation to a position of the stored reference pattern.


Example Process Steps for Evaluating Difference Images.


An example embodiment may be implemented in which the evaluation of the difference image of step 14 comprises one or more decision related process steps. FIG. 2 depicts a flowchart for an example process 140 for evaluating a computed difference image, according to an embodiment of the present invention. The process 140 may correspond to performance of the step 14 of the example process 10. The process 140 may commence upon the computation of a difference image based on a comparison of the rendered scan instance to the stored reference pattern at step 13 of process 10 (FIG. 1).


In step 141, a determination is made as to whether the zero or more features of the computed difference image comprise at least one feature. If not, then no feature of the scan image instance (scanned from the features of the output pattern) does not correspond to a stored reference feature. In this case, the output pattern printed on the media product may be considered defect free, and the process 140 may be complete.


If it is determined, however, that the zero or more features of the computed difference image comprises at least one defect feature, then a determination is made in relation to a proximity of the at least one defect to a position of a corresponding to a reference feature. In step 142, a determination is made as to whether the at least one defect feature has an unacceptably close proximity to the position of the reference feature.


If not, then the proximity of the at least one defect feature comprises a sufficient distance from the position of the reference feature and in step 143, the at least one defect feature may thus be indicated (e.g., marked) in relation to its acceptable proximity, or ignored.


If, however it is determined that the proximity of the at least one defect feature comprises an insufficiently close distance to the reference feature, then a warning is presented in step 144. The warning comprises a notification that the at least one defect feature has the determined unacceptable proximity to the position of the reference feature.


The determining that the proximity of the at least one of the zero or more features is unacceptable in relation to the position of the stored reference pattern relates to an insufficient spatial distance between the at least one of the zero or more features and a position of at least a part of the stored reference pattern.


The presented warning relates to an alert, notification, etc. that the defect features to which they correspond is so close to the reference feature and may thus occlude, obstruct, or obfuscate a portion of the corresponding feature printed on the output media product. The presented warning thus relates to a possibility that the defect may cause confusion and/or interfere with information programmed, modeled, or intended to be presented by the printed pattern.


An example embodiment may be implemented in which the evaluating method relates to a correction of some of the defects with unacceptable proximities to portions of the reference feature. In step 145, printing of a subsequent output image may optionally be adjusted based on the determination of the unacceptable proximity of the defect in relation to the position of the stored reference pattern. For example, the at least one of the zero or more features may be eliminated (or hidden) in a subsequent printing of the output pattern.


An example embodiment relates to a non-transitory computer readable storage medium comprising instructions, which when executed by a processor are operable for causing, controlling, and/or programming a process relating to evaluating an output image comprising a pattern printed on a medium, such as the processes 10 and 140, described above. In an example embodiment, the printing evaluation processes may be performed in a computerized or automated printing system and/or a system operable for evaluating a printed media product.


Example Evaluation System.


An embodiment of the present invention relates to a system for evaluating printed images. FIG. 3 depicts an example printing evaluating system 300, according to an embodiment of the present invention. The printing evaluating system 300 comprises a non-transitory computer readable storage medium 310 operable for storing a reference pattern.


The stored reference pattern 305 comprises a reference pattern. The reference pattern comprises a set of reference features that model a corresponding set of features based on which, the output pattern is printed. The output pattern is thus printed based correspondingly on the stored reference pattern.


The non-transitory computer readable storage media 310 may comprise a memory 311, disk, drive, or flash related storage media 312, print buffers 313, and/or one or more caches, registers, and/or latches (“caches”) 314 of a microprocessor 704, an image processor 333 or other integrated circuit (IC) device. The non-transitory computer-readable storage medium may be operable electromagnetically, electro-optically, or electronically. The system 300 may receive the reference pattern 305 as an input received via streaming over a network connection or loaded from an external storage medium, such as a flash drive or an optical or magnetic disk, or by other modes.


The printing evaluating system comprises a printing component (printer) 321. The printer 321 is operable for printing 1D barcode and 2D matrix data patterns 353, text related patterns 354, and/or graphic and image related patterns onto a blank media substrate 351 with which it is fed. The patterns 353 and text 354 comprise features printed on the raw, blank media substrate 351 by the printer 321 to output the media product 352.


The raw, blank media substrate 351 may comprise paper, plastic, or other print media. The printer 321 is operable for printing, based on the stored reference pattern 305, the data patterns 353, and the text related patterns 354, etc. with a marking agent such as ink, dye, thermal appliqué, or using other techniques appropriate in relation to the media substrate 351. The blank media substrate 351 may also comprise a metallic or other material, on which the printer 321 marks the data patterns 353 and the text related patterns 354, etc. using laser, chemical, or other etching related printing techniques, and/or application of compatible marking agents such as dyes, stains, or etchants over a surface of the substrate 351, and/or penetrating the surface to any degree (e.g., including microscopically).


The printing evaluating system 300 comprises a scanner 322. The scanner 322 is operable for scanning the printed output media product 352 and for rendering a corresponding scan based image instance 331 of the output image 352, including the output pattern 353 and the output text pattern 354. The rendered scan based image instance 322 comprises a set of scan features based on the printed output patterns 353 and/or 354, and thus corresponding to the set of features of the stored input reference pattern 305.


The scan instance 331 comprises at least a set of scan features that at least corresponds to the set of reference features. The rendered scan instance may or may not also comprise defect features. The defect features are printed (appear) in the printed media product but are not present in the stored reference pattern. The rendered scan instance 331 may thus comprise zero or more features in addition to the set of reference features.


The evaluating system 300 comprises at least one image processor 333. The image processor 333 comprises an IC device such as a microprocessor. The image processor 333 is described with reference to FIG. 3 and FIG. 4. FIG. 4 depicts the example image processor 333, according to an embodiment of the present invention.


An example embodiment may be implemented in which the image processor 333 comprises a processing core 43. The processing core may contain an arithmetic logic unit (ALU) 431, a floating point unit (FPU) 432, and caches L1 433 and L2 434. The logic units ALU 431 and FPU 432 are respectively operable for computational functions related to image processing. The L1 cache 433 and L2 cache 434 of the core are operable for storing data related to the image processing computations.


The image processor also comprises a cache 41 operable for storing data related to the reference patterns, a cache 42 operable for storing data related to the scan instance, a difference image generator 44, a difference image evaluator 45, and a warning generator 46. Example embodiments may be implemented in which the difference image generator 44, the difference image evaluator 45, and/or the warning generator 46 are incorporated into the processing core 333 and/or share one or more operations with the processor core 43.


Components of the image processor 333 are disposed on a semiconductor substrate 40 of the IC and exchange signals with each other conductively over a signal routing fabric 47. The routing fabric 47 may comprise an array of conductive horizontal traces and vertical interconnect accesses (vias) disposed within the IC substrate. The image processor 333 also comprises a signal interface 48, with which signals are exchanged with external electronic components.


The difference image generator 44 and/or the processing core 333 are operable for comparing the rendered scan instance 331 to the stored reference pattern instance 305 and for computing a difference image 335, which comprises the zero or more features of the rendered scan instance 331. The difference image is described herein with reference to FIG. 3, FIG. 4, and FIG. 5, inclusive. FIG. 5 depicts an example computed difference image 305, according to an embodiment of the present invention. The difference image 335 is computed based on a comparison the rendered scan instance 331 to the stored reference pattern instance 305.


The scanned image instance 331 may comprise at least one of the zero or more features. The at least one feature comprises a defect feature, which may be associated with an unintended, superfluous pixel artifact of the printing process, or another source of apparent imperfection relative to the stored reference pattern instance 305.


In printing the media product 353 based on the stored reference pattern 305, the printer 321 has marked an output pattern representing an Arabic style numeral ‘4’ on the surface of the media substrate 351 (in open-topped font or style), based on a corresponding numeral pattern feature ‘4’ of the stored reference pattern 305. A scan of the printed media product 352 by the scanner 322 generates the corresponding scan image instance 331.


An example embodiment may be implemented in which the difference image generator 44 and/or the processing core 333 compute an XOR logical operation 332 in relation to a plurality of pixels of the rendered scan instance 331 of the output image, relative to each corresponding pixel of the stored reference pattern 305. Based on the XOR operation 332, the difference image 50 computed in FIG. 5 shows a first defect feature 58 and a second defect feature 59, each present in the scanned image 331 and absent from the reference pattern 305. An artifact map 55 may be maintained in relation to the pixel locations of the difference image 335 that correspond with pixel locations of the reference pattern. In particular for example, the pixel locations for mapping the pattern ‘4’ between the reference pattern image 305 and the scan image 331 may be stored.


The difference image evaluator 45 and/or the processing core 333 are operable for evaluating the computed difference image 335. The evaluation of the difference image 335 determines whether a proximity of at least one of the zero or more features is acceptable in relation to a position of the stored reference pattern. With reference again to FIG. 5, for example, the defect feature 59 may be evaluated as sufficiently distant from pixels corresponding to the pattern ‘4’, and may thus be indicated as acceptable or ignored.


The defect feature 58 however may be evaluated as too close to the mapped location of the reference pattern ‘4’. The proximity of the defect may thus be evaluated as unacceptable in relation to the position of the stored reference pattern ‘4’. For example, an acceptability indicator 53 may be presented.


Based on the determination of unacceptable proximity, the warning generator 46 and/or the processing core 333 generate or present a warning 56 that the defect 58 is too close to a portion of the reference pattern. The warning 56 comprises a notification that the defect 58 is disposed in an unacceptable proximity to the stored reference pattern ‘4’ based on the evaluation of the computed difference image 335.


In an example embodiment, subsequent printing operations and/or the printer 321 may be adjusted to correct the defect in subsequent output media products. The defect 59 (and other defects determined to be sufficiently distant from the reference pattern) may be indicated to be acceptable or ignored.


Example Media Products.


An example embodiment of the present invention relates to media product. The media product comprises a symbol, such as alphanumeric, pictographic, and other text, 1D bar code patterns, and/or 2D data matrix patterns. The media product is printed on a medium and evaluated by processes, such as the example evaluation related processes 10 and 140, and system 300, as described above with reference to FIG. 1, FIG. 2, and FIG. 3, respectively.



FIG. 6A depicts an example 1D bar code pattern 610, according to an embodiment of the present invention. The 1D bar code symbol 610 is depicted as though printed in a ‘ladder’ or ‘drag’ mode on the print medium 611.



FIG. 6B depicts another example 1D bar code pattern 620, according to an embodiment of the present invention. The 1D bar code symbol 622 is depicted as though printed in a ‘picket fence’ mode on a print medium 622.


The bar code symbols 610 and 620 each comprise a plurality of bar elements 66a and a plurality of space elements 68b. The space elements 68b are disposed in parallel with the bar elements 66a. In the drag mode, the bar code symbol 610 is printed parallel to the direction of printing 699. In the picket fence mode, the bar code symbol 620 is printed in a perpendicular orientation to the direction of printing 699.


The bar code symbols 610 and 620 may each comprise data patterns related to, for example, an International (or “European”) Article Number and/or Universal Product Code (EAN/UPC symbology) pattern, PDF417 (ISO/EC-15438 related) pattern, which comprise four of the vertical bar like symbols 66a disposed over 17 of the horizontally disposed spacer symbols 68b), 1D dot code pattern, or other 1D symbols.



FIG. 6C depicts an example 2D matrix code pattern 650, according to an embodiment of the present invention. The 2D matrix code pattern 650 comprises a matrix of 2D graphic symbol parts, such as squares and other rectangle and polygons, printed on a print medium 655. The matrix data pattern 650 may comprise a 2D data pattern related to, for example, quick-response (QR) and/or Han Xin graphical or geometric data matrices, or other 2D symbols.



FIG. 6D depicts an example text based code pattern 640, according to an embodiment of the present invention. The text based code pattern 640 comprises alphanumeric, pictographic (e.g., character related) or other text based graphic symbol parts (e.g., OCR patterns), printed on a print medium 644. The code pattern 640 may comprise human readable and OCR readable symbol parts, such as numbers, letters, and characters printed on a print medium 644. The data pattern 640 may comprise a 2D data pattern related to, for example, OCR-B or OCR-A, or other 2D symbols.


The print media 611, 622, 644, and 655 each move longitudinally in a direction 699 of respective printing operations. The print media 611, 622, 644, and 655 may each comprise paper for receiving ink based markings, thermally sensitive paper, or plastic or other material. The print media 611, 622, 644, and 655 may be disposed in a web configuration, which is significantly longer than it is wide. The direction of printing 699 is parallel to a longitudinal axis of the print media 611, 622, 644, and 655, along which the media move.


The symbols 610, 620, 640, and 650 may be printed on the respective web media 611, 622, 644, and 655 according to the example process 10 (FIG. 1) and the process 140 (FIG. 2), described above. An example embodiment may be implemented in which print logic generates a print command based on the reference pattern 305. The print command and related reference pattern 305 is used by a print driver to activate and energize print elements of a printer (e.g., printer 321; FIG. 3).


Responsive to the print command, for example, the activated and energized printer 321 marks a part of the bar codes 610 and 620, matrix code 650 and/or text pattern 640 based on the reference pattern 305 and the media 611, 622, 644, and/or 655, respectively, advance in the direction 699. Each time that the media is advanced, a print driver activates elements of the printer 321 for marking of subsequent bar elements 66a, and spacing of parallel space elements 66b, onto a segment (e.g., portion) onto the media 611, 622, and 655, and/or the text pattern portions onto the medium 644.


With reference again to FIG. 3, as the printed portions of the media 611, 622, 644 and 655 advance through the printer, the printed media product 352 emerges. The scanner 322 images the printed pattern and text elements 353 and 354 and stores a digitized image of the printed element as the scan image instance 331 into a scan memory area. With ‘linear’ operable image heads, successive scan images of the printed element may be buffered sequentially into the scan memory area in a correspondence with the succession. The print command may be stored in a command related memory area.


With reference again to FIG. 4 and FIG. 5, the image processor 333 compares the digitized scan image 331 stored in the scan memory area with the print command stored in the command memory area. The digitized image of the symbols portion and the print command are compared bit by bit (bitwise) and/or based on one or more other schemes, algorithms, or defined standards. In an example embodiment of the present invention, the comparison is based on computing the difference image 335.


The difference image 335 is evaluated in relation to defect features 59 and 58. Based on the evaluation, the warning 56 is generated in relation to the defect 58 having an unacceptable proximity to the reference pattern ‘4’. Based on an evaluation as acceptably distant from the reference pattern, the defect 59 may be marked as acceptable with an indication 53 or ignored.


A print quality report may be generated based on the evaluation. The print quality report may indicate whether or not the printed image complies with a defined specification, stored in relation to evaluating the symbol and portions thereof. The print quality report may indicate the manner in which the printed image differs from the desired image, and the steps taken by the printer to correct the deviation. Statistic related to acceptable and unacceptable defects, and a total number of defects appearing, may also be included in the quality report.


The bar elements of the machine readable data code symbol parts may comprise an array of closely proximate dots or other pixel components. As the media 611, 622, 644, and 655 advances past the printer 321, the scanner 322 may digitize the pixels or other elements or features of the patterns presented in the symbols 610, 620, 640, and/or 650. Successive portions of the elements may be imaged and stored in a memory area for comparison with the reference pattern 305, associated with the print command.


With the drag mode or the picket fence mode of printing, the digitized portion of the printed image comprises a portion of a plurality of the symbolic characters 66a and 68b. Scanning and/or concomitant sampling may be performed over a portion of the bar code characters 66a and 68b and compared with the print command. The print logic, as well as the print command and the print driver, may update before printing is complete over the entire bar code symbol 610.


Example Computer Network.



FIG. 7 depicts an example computer network 700, according to an embodiment of the present invention. The computer network 700 comprises a data network 788. A first computer and at least a second computer system 798 are communicatively coupled to the data network 788. The first computer comprises the printing evaluation system 300 (FIG. 3) and is operable for performing the printing evaluation process 10 (FIG. 1) and 140 (FIG. 2).


The printing evaluation system 300 is configured operably (e.g., by software code with which it is programmed). The printing evaluation system 300 is operable for communicating with other devices, such as the at least one computer 798. The printing evaluation system 300 is coupled communicatively via the network 788 with the computer 798. The network 788 may comprise a packet-switched data network operable based on transfer control and internetworking protocols (e.g., TCP/IP).


The data network 788 may comprise a portion of one or more other networks and/or two or more sub-network (“subnet”) components. For example, the data network 788 may comprise a portion of the internet and/or a particular wide area network (WAN). The network 788 may also comprise one or more WAN and/or local area network (LAN) subnet components. Portions of the data network 788 may be operable wirelessly and/or with wireline related means. The data network 788 may also comprise, at least in part, a digital telephone network.


In relation to the printing evaluation system 300, the computer 798 may also be operable as a server and/or for performing one or more functions relating to control or centralized pooling, processing or storage of information gathered or accessed therewith, e.g., with a database 777.


For example, embodiments of the present invention may be implemented in which the printing evaluation system 300 is operable for sending reports 745 relating to data corresponding to the evaluation of the captured images to the computer 798 over the network 788. The computer 798 may then store the image evaluation related data in the database 777, from which it may be retrieved at a later time. The data retrieved from the database 777 may be used in evaluating and/or printing other (e.g., subsequent) images.


The printing evaluation system 300 may then send the image evaluation report 745, data relating thereto, and/or the scan related data to the computer 798 over the network 788 wirelessly, via the network 788, to the computer 798.


Upon receipt thereof, the computer 798 may be operable for processing the data related to the image evaluations and the scan related data. The scan data may relate to the image evaluation.


The printing evaluation system 300 comprises a plurality of electronic components, each of which is coupled to a data bus 702. The data bus 702 is operable for allowing each of the multiple, various electronic components of the printing evaluation system 300 to exchange data signals conductively with each of the other electronic components thereof.


The electronic components of the printing evaluation system 300 may comprise integrated circuit (IC) devices, including one or more microprocessors, including the image processor 333 (FIG. 3). The electronic components of the printing evaluation system 300 may also comprise other IC devices, such as a microcontroller, field-programmable gate array (FPGA) or other programmable logic device (PLD) or application-specific IC (ASIC).


The microprocessors may comprise a central processing unit (CPU) 704. The CPU 704 is operable for performing general data processing functions related to operations of the printing evaluation system 300. The electronic components of the printing evaluation system 300 may also comprise one or more other processors 744. The other microprocessors may also include a graphic processing unit (GPU) and/or digital signal processor (DSP) 704, which are each operable for performing data processing functions that may be somewhat more specialized than the general processing functions, as well as sometimes sharing some of the general processing functions with the CPU 704.


One of the processors 744 may also be operable as a “math” (mathematics) coprocessor. The math co-processor, DSP and/or GPU (“DSP/GPU”) 744 are operable for performing computationally intense data processing. The computationally intense processing relates to imaging, image evaluation, graphics, dimension measurements, wireframe manipulations, coordinate system management, logistics, and other (e.g., mathematical, financial) information. The image processor 333 may comprise or share operability or functionality with the CPU 704 and/or the GPU/DSP 744.


The data processing operations comprise computations performed electronically by the image processor 333, CPU 704, and the DSP/GPU 744. The microprocessors may comprise components operable as an ALU, a FPU, and associated memory cells. The memory cells comprise non-transitory data storage media, which may be configured as caches (e.g., “L1,” “L2”), registers, latches and/or buffers.


For example, the processing core 43 of the image processor 433 comprises the ALU 431, FPU 432, L1 cache 433, and L2 cache. The memory cells are operable for storing data electronically in relation to various functions of the processor. A translational look-aside buffer (TLB) may be operable for optimizing efficiency of use of content-addressable memory (CAM) by the CPU 704, image processor 333, and/or the DSP/GPU 744.


The printing evaluation system 300 also comprises non-transitory computer readable storage media operable for storing data, e.g., electronically. For example, the image processor 333 is operable with reference pattern 305 and the scan image 331 to compute and evaluate the difference image 335, which may be stored with the non-transitory computer readable storage media 310.


The printing evaluation system 300 may also comprise a main memory 706, such as a random access memory (RAM) or other dynamic storage device 706 (or another non-transitory computer readable storage medium). The main memory 706 is coupled to data bus 702 for storing information and instructions, which are to be executed by the CPU 704. The main memory 706 also may be used for storing temporary variables or other intermediate information during execution of instructions by the CPU 704. Other memories (represented in the present description with reference to the RAM 706) may be installed for similar uses by the DSP/GPU 744.


The printing evaluation system 300 further comprises a read-only memory (ROM) 708 or other static storage device (or other non-transitory computer readable storage medium) coupled to the data bus 702. The ROM 708 is operable for storing static information and instructions for use by the CPU 704. In addition to the RAM 706 and the ROM 708, the non-transitory storage media of the printing evaluation system 300 may comprise at least one data storage device 710. The data storage device 710 is operable for storing information and instructions and allowing access thereto.


The data storage device 710 may comprise a magnetic disk drive, flash drive, or optical disk drive (or other non-transitory computer readable storage medium). The data storage device 710 comprises non-transitory media coupled to data bus 702 and may be operable for providing a “virtual memory” function. The virtual memory operations of the storage device 710 may supplement, at least temporarily, storage capacity of other non-transitory media, such as the RAM 706.


The non-transitory storage media of the printing evaluation system 300 also comprises stored instructions 783, which is stored (e.g., electronically, magnetically, optically, physically, etc.) in relation to software for programming, controlling, and/or configuring its operations relating to evaluating images and the operations of the printer 321 and the scanner 322. The non-transitory dimensioner instructions 755 may also (or alternatively) be stored in association with the storage 710 and other storage components of the printing evaluation system 300.


Non-transitory programming instructions, software, settings and configurations related to the evaluation of images are stored (e.g., magnetically, electronically, optically, physically, etc.) by a memory, flash, or drive related non-transitory storage medium 310 and/or with the non-transitory storage medium 710. The non-transitory storage medium 710 may also store a suite 783 of instructions, which relate to a suite of other functional features with which the printing evaluation system 300 may also be also operable, e.g., for performing other functional features.


An example embodiment may be implemented in which the suite 783 of features relates to applications, tools and tool sets, menus (and sub-menus) and macros associated with functions of printing evaluation system 300 related to capturing and evaluating images.


The printing evaluation system 300 comprises a user-interactive touchscreen 725, which is operable as a combined graphical user interface (GUI) and display component. The touchscreen 725 may comprise a liquid crystal display (LCD), which is operable for rendering images by modulating variable polarization states of an array of liquid crystal transistor components. The touchscreen 725 also comprises an interface operable for receiving haptic inputs from a user.


The haptic interface of the GUI touchscreen 725 may comprise, e.g., at least two arrays of microscopic (or transparent) conductors, each of which is insulated electrically from the other and disposed beneath a surface of the display 725 in a perpendicular orientation relative to the other. The haptic inputs comprise pressure applied to the surface of the touchscreen GUI 725, which cause corresponding local changes in electrical capacitance values proximate to the pressure application that are sensed by the conductor grids to effectuate a signal corresponding to the input.


In an example embodiment, the touchscreen GUI and display component 725 is operable for rendering the warnings 56 (FIG. 5), graphical reports and presenting other information in relation to evaluating the computed difference image 335. The warnings 56 and related evaluation reports are rendered by the display 725 upon receipt of data related to the computation and evaluation of the difference image 335 by the image processor 333 and image evaluations from the CPU 704 and/or the GPU/DSP 744.


The touchscreen GUI component 725 may be implemented operably for rendering images over a heightened (e.g., high) dynamic range (HDR), the rendering of the images may also be based on modulating a back-light unit (BLU). For example, the BLU may comprise an array of light emitting diodes (LEDs). The LCDs may be modulated according to a first signal and the LEDs of the BLU may be modulated according to a second signal. The touchscreen 725 may render an HDR image by coordinating the second modulation signal in real time, relative to the first modulation signal. Other display technologies may also (or alternatively) be used. For example, the display may comprise an organic LED (OLED).


A plurality of inputs 714 may comprise one or more electromechanical switches, which may be implemented as buttons, escutcheons, or cursor controls. The inputs 714 may also comprise a keyboard. The keyboard may comprise an array of alphanumeric (and/or ideographic, syllabary based) keys operable for typing letters, number, and other symbols. The keyboard may also comprise an array of directional (e.g., “up/down,” “left/right”) keys, operable for communicating commands and data selections to the CPU 704 and for controlling movement of a cursor rendering over the touchscreen GUI display 725.


The directional keys may be operable for presenting two (2) degrees of freedom of a cursor, over at least two (2) perpendicularly disposed axes presented on the display component of the touchscreen GUI 725. A first ‘x’ axis is disposed horizontally. A second ‘y’ axis, complimentary to the first axis, is disposed vertically. Thus, the printing evaluation system 300 is thus operable for specifying positions over a representation of a geometric plane and/or other coordinate systems.


Execution of instruction sequences contained in the image storage media 310 and main memory 706 cause the image processor and CPU 704 to perform process steps (e.g., processes 10, 140; FIG. 1, 2) associated with operations of the printing evaluation system 300. One or more of the microprocessors is operable for executing instructions contained in the image storage 310 and/or the main memory 706. Additionally and/or alternatively, hard-wired circuitry may be used in place of, or in combination with the software instructions. Thus, the printing evaluation system 300 is not limited to any specific combination of circuitry, hardware, firmware, and/or software.


The term “computer readable storage medium,” as used herein, may refer to any non-transitory storage medium that participates in providing instructions to the image processor 333, CPU 704 (and the DSP/GPU 744) for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media comprises, for example, configured/programmed active elements of the image processor 333, the CPU 704, the DSP/GPU 744, the non-transitory image related media 310, stored print evaluation instructions 783 and other optical, electronic, or magnetic disks, such as storage device 710. Volatile media comprises dynamic memory associated, e.g., with the RAM 706.


Transmission media comprises coaxial cables, copper wire and other electrical conductors and fiber optics, including the wires (and/or other conductors or optics) that comprise the data bus 702.


Transmission media can also take the form of electromagnetic radiation (e.g., light waves), such as may be generated at radio frequencies (RF) and infrared (IR) and other optical frequencies. Data communications may also be effectuated using other means, including acoustic (e.g., sound related) or other mechanical, vibrational, or phonon related media.


Non-transitory computer-readable storage media may comprise, for example, flash drives such as may be accessible via universal serial bus (USB) or any medium from which a computer can read data.


Various forms of non-transitory computer readable storage media may be involved in carrying one or more sequences of one or more instructions to CPU 704 for execution. For example, the instructions may initially be carried on a magnetic or other disk of a remote computer (e.g., computer 798). The remote computer can load the instructions into its dynamic memory and send the instructions over networks 788.


The printing evaluation system 300 can receive the data over the network 788 and use an IR, RF or other transmitter means to convert the data to corresponding signals. An IR, RF or other signal detector or receiver (“receiver”) coupled to the data bus 702 can receive the data carried in the corresponding signals and place the data on data bus 702. The operations associated with the transmitter and the receiver may be combined in a transmitter/receiver (transceiver) means. The transmitter, receiver, and/or transceiver means may be associated with the interfaces 718.


The data bus 702 carries the data to main memory 706, from which CPU 704 and the DSP/GPU 744 retrieve and execute the instructions. The instructions received by main memory 706 may optionally be stored on storage device 710 either before or after execution by CPU 704.


The interfaces 718 may comprise a communication interface coupled to the data bus 702. The communication interface is operable for providing a two-way (or more) data communication coupling to a network link 720, which may connect wirelessly at radio frequencies (RF) to the network 788. Wireless communication may also be implemented optically, e.g., at IR frequencies.


Signals may be exchanged via the interfaces 718 with an external device 799 (e.g., another computer or external storage device) through a compatible communication port 719.


In any implementation, the communication interface 718 sends and receives electrical, electromagnetic, or optical signals that carry digital data streams representing various types of information. The network link 720 provides data communication through the network 788 to other data devices.


The network 788 may use one or more of electrical, electromagnetic, and/or optical signals carrying digital data streams. The signals sent over the network 788 and through the network link 720 and communication interface 718 carry the digital data to and from the printing evaluation system 300. The printing evaluation system 300 can send messages and receive data, including program code, through the network 788, network link 720, and communication interface 718.


To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:

  • U.S. Pat. No. 6,832,725; U.S. Pat. No. 7,128,266;
  • U.S. Pat. No. 7,159,783; U.S. Pat. No. 7,413,127;
  • U.S. Pat. No. 7,726,575; U.S. Pat. No. 8,294,969;
  • U.S. Pat. No. 8,317,105; U.S. Pat. No. 8,322,622;
  • U.S. Pat. No. 8,366,005; U.S. Pat. No. 8,371,507;
  • U.S. Pat. No. 8,376,233; U.S. Pat. No. 8,381,979;
  • U.S. Pat. No. 8,390,909; U.S. Pat. No. 8,408,464;
  • U.S. Pat. No. 8,408,468; U.S. Pat. No. 8,408,469;
  • U.S. Pat. No. 8,424,768; U.S. Pat. No. 8,448,863;
  • U.S. Pat. No. 8,457,013; U.S. Pat. No. 8,459,557;
  • U.S. Pat. No. 8,469,272; U.S. Pat. No. 8,474,712;
  • U.S. Pat. No. 8,479,992; U.S. Pat. No. 8,490,877;
  • U.S. Pat. No. 8,517,271; U.S. Pat. No. 8,523,076;
  • U.S. Pat. No. 8,528,818; U.S. Pat. No. 8,544,737;
  • U.S. Pat. No. 8,548,242; U.S. Pat. No. 8,548,420;
  • U.S. Pat. No. 8,550,335; U.S. Pat. No. 8,550,354;
  • U.S. Pat. No. 8,550,357; U.S. Pat. No. 8,556,174;
  • U.S. Pat. No. 8,556,176; U.S. Pat. No. 8,556,177;
  • U.S. Pat. No. 8,559,767; U.S. Pat. No. 8,599,957;
  • U.S. Pat. No. 8,561,895; U.S. Pat. No. 8,561,903;
  • U.S. Pat. No. 8,561,905; U.S. Pat. No. 8,565,107;
  • U.S. Pat. No. 8,571,307; U.S. Pat. No. 8,579,200;
  • U.S. Pat. No. 8,583,924; U.S. Pat. No. 8,584,945;
  • U.S. Pat. No. 8,587,595; U.S. Pat. No. 8,587,697;
  • U.S. Pat. No. 8,588,869; U.S. Pat. No. 8,590,789;
  • U.S. Pat. No. 8,596,539; U.S. Pat. No. 8,596,542;
  • U.S. Pat. No. 8,596,543; U.S. Pat. No. 8,599,271;
  • U.S. Pat. No. 8,599,957; U.S. Pat. No. 8,600,158;
  • U.S. Pat. No. 8,600,167; U.S. Pat. No. 8,602,309;
  • U.S. Pat. No. 8,608,053; U.S. Pat. No. 8,608,071;
  • U.S. Pat. No. 8,611,309; U.S. Pat. No. 8,615,487;
  • U.S. Pat. No. 8,616,454; U.S. Pat. No. 8,621,123;
  • U.S. Pat. No. 8,622,303; U.S. Pat. No. 8,628,013;
  • U.S. Pat. No. 8,628,015; U.S. Pat. No. 8,628,016;
  • U.S. Pat. No. 8,629,926; U.S. Pat. No. 8,630,491;
  • U.S. Pat. No. 8,635,309; U.S. Pat. No. 8,636,200;
  • U.S. Pat. No. 8,636,212; U.S. Pat. No. 8,636,215;
  • U.S. Pat. No. 8,636,224; U.S. Pat. No. 8,638,806;
  • U.S. Pat. No. 8,640,958; U.S. Pat. No. 8,640,960;
  • U.S. Pat. No. 8,643,717; U.S. Pat. No. 8,646,692;
  • U.S. Pat. No. 8,646,694; U.S. Pat. No. 8,657,200;
  • U.S. Pat. No. 8,659,397; U.S. Pat. No. 8,668,149;
  • U.S. Pat. No. 8,678,285; U.S. Pat. No. 8,678,286;
  • U.S. Pat. No. 8,682,077; U.S. Pat. No. 8,687,282;
  • U.S. Pat. No. 8,692,927; U.S. Pat. No. 8,695,880;
  • U.S. Pat. No. 8,698,949; U.S. Pat. No. 8,717,494;
  • U.S. Pat. No. 8,717,494; U.S. Pat. No. 8,720,783;
  • U.S. Pat. No. 8,723,804; U.S. Pat. No. 8,723,904;
  • U.S. Pat. No. 8,727,223; U.S. Pat. No. D702,237;
  • U.S. Pat. No. 8,740,082; U.S. Pat. No. 8,740,085;
  • U.S. Pat. No. 8,746,563; U.S. Pat. No. 8,750,445;
  • U.S. Pat. No. 8,752,766; U.S. Pat. No. 8,756,059;
  • U.S. Pat. No. 8,757,495; U.S. Pat. No. 8,760,563;
  • U.S. Pat. No. 8,763,909; U.S. Pat. No. 8,777,108;
  • U.S. Pat. No. 8,777,109; U.S. Pat. No. 8,779,898;
  • U.S. Pat. No. 8,781,520; U.S. Pat. No. 8,783,573;
  • U.S. Pat. No. 8,789,757; U.S. Pat. No. 8,789,758;
  • U.S. Pat. No. 8,789,759; U.S. Pat. No. 8,794,520;
  • U.S. Pat. No. 8,794,522; U.S. Pat. No. 8,794,525;
  • U.S. Pat. No. 8,794,526; U.S. Pat. No. 8,798,367;
  • U.S. Pat. No. 8,807,431; U.S. Pat. No. 8,807,432;
  • U.S. Pat. No. 8,820,630; U.S. Pat. No. 8,822,848;
  • U.S. Pat. No. 8,824,692; U.S. Pat. No. 8,824,696;
  • U.S. Pat. No. 8,842,849; U.S. Pat. No. 8,844,822;
  • U.S. Pat. No. 8,844,823; U.S. Pat. No. 8,849,019;
  • U.S. Pat. No. 8,851,383; U.S. Pat. No. 8,854,633;
  • U.S. Pat. No. 8,866,963; U.S. Pat. No. 8,868,421;
  • U.S. Pat. No. 8,868,519; U.S. Pat. No. 8,868,802;
  • U.S. Pat. No. 8,868,803; U.S. Pat. No. 8,870,074;
  • U.S. Pat. No. 8,879,639; U.S. Pat. No. 8,880,426;
  • U.S. Pat. No. 8,881,983; U.S. Pat. No. 8,881,987;
  • U.S. Pat. No. 8,903,172; U.S. Pat. No. 8,908,995;
  • U.S. Pat. No. 8,910,870; U.S. Pat. No. 8,910,875;
  • U.S. Pat. No. 8,914,290; U.S. Pat. No. 8,914,788;
  • U.S. Pat. No. 8,915,439; U.S. Pat. No. 8,915,444;
  • U.S. Pat. No. 8,916,789; U.S. Pat. No. 8,918,250;
  • U.S. Pat. No. 8,918,564; U.S. Pat. No. 8,925,818;
  • U.S. Pat. No. 8,939,374; U.S. Pat. No. 8,942,480;
  • U.S. Pat. No. 8,944,313; U.S. Pat. No. 8,944,327;
  • U.S. Pat. No. 8,944,332; U.S. Pat. No. 8,950,678;
  • U.S. Pat. No. 8,967,468; U.S. Pat. No. 8,971,346;
  • U.S. Pat. No. 8,976,030; U.S. Pat. No. 8,976,368;
  • U.S. Pat. No. 8,978,981; U.S. Pat. No. 8,978,983;
  • U.S. Pat. No. 8,978,984; U.S. Pat. No. 8,985,456;
  • U.S. Pat. No. 8,985,457; U.S. Pat. No. 8,985,459;
  • U.S. Pat. No. 8,985,461; U.S. Pat. No. 8,988,578;
  • U.S. Pat. No. 8,988,590; U.S. Pat. No. 8,991,704;
  • U.S. Pat. No. 8,996,194; U.S. Pat. No. 8,996,384;
  • U.S. Pat. No. 9,002,641; U.S. Pat. No. 9,007,368;
  • U.S. Pat. No. 9,010,641; U.S. Pat. No. 9,015,513;
  • U.S. Pat. No. 9,016,576; U.S. Pat. No. 9,022,288;
  • U.S. Pat. No. 9,030,964; U.S. Pat. No. 9,033,240;
  • U.S. Pat. No. 9,033,242; U.S. Pat. No. 9,036,054;
  • U.S. Pat. No. 9,037,344; U.S. Pat. No. 9,038,911;
  • U.S. Pat. No. 9,038,915; U.S. Pat. No. 9,047,098;
  • U.S. Pat. No. 9,047,359; U.S. Pat. No. 9,047,420;
  • U.S. Pat. No. 9,047,525; U.S. Pat. No. 9,047,531;
  • U.S. Pat. No. 9,053,055; U.S. Pat. No. 9,053,378;
  • U.S. Pat. No. 9,053,380; U.S. Pat. No. 9,058,526;
  • U.S. Pat. No. 9,064,165; U.S. Pat. No. 9,064,167;
  • U.S. Pat. No. 9,064,168; U.S. Pat. No. 9,064,254;
  • U.S. Pat. No. 9,066,032; U.S. Pat. No. 9,070,032;
  • U.S. Design Pat. No. D716,285;
  • U.S. Design Pat. No. D723,560;
  • U.S. Design Pat. No. D730,357;
  • U.S. Design Pat. No. D730,901;
  • U.S. Design Pat. No. D730,902
  • U.S. Design Pat. No. D733,112;
  • U.S. Design Pat. No. D734,339;
  • International Publication No. 2013/163789;
  • International Publication No. 2013/173985;
  • International Publication No. 2014/019130;
  • International Publication No. 2014/110495;
  • U.S. Patent Application Publication No. 2008/0185432;
  • U.S. Patent Application Publication No. 2009/0134221;
  • U.S. Patent Application Publication No. 2010/0177080;
  • U.S. Patent Application Publication No. 2010/0177076;
  • U.S. Patent Application Publication No. 2010/0177707;
  • U.S. Patent Application Publication No. 2010/0177749;
  • U.S. Patent Application Publication No. 2010/0265880;
  • U.S. Patent Application Publication No. 2011/0202554;
  • U.S. Patent Application Publication No. 2012/0111946;
  • U.S. Patent Application Publication No. 2012/0168511;
  • U.S. Patent Application Publication No. 2012/0168512;
  • U.S. Patent Application Publication No. 2012/0193423;
  • U.S. Patent Application Publication No. 2012/0203647;
  • U.S. Patent Application Publication No. 2012/0223141;
  • U.S. Patent Application Publication No. 2012/0228382;
  • U.S. Patent Application Publication No. 2012/0248188;
  • U.S. Patent Application Publication No. 2013/0043312;
  • U.S. Patent Application Publication No. 2013/0082104;
  • U.S. Patent Application Publication No. 2013/0175341;
  • U.S. Patent Application Publication No. 2013/0175343;
  • U.S. Patent Application Publication No. 2013/0257744;
  • U.S. Patent Application Publication No. 2013/0257759;
  • U.S. Patent Application Publication No. 2013/0270346;
  • U.S. Patent Application Publication No. 2013/0287258;
  • U.S. Patent Application Publication No. 2013/0292475;
  • U.S. Patent Application Publication No. 2013/0292477;
  • U.S. Patent Application Publication No. 2013/0293539;
  • U.S. Patent Application Publication No. 2013/0293540;
  • U.S. Patent Application Publication No. 2013/0306728;
  • U.S. Patent Application Publication No. 2013/0306731;
  • U.S. Patent Application Publication No. 2013/0307964;
  • U.S. Patent Application Publication No. 2013/0308625;
  • U.S. Patent Application Publication No. 2013/0313324;
  • U.S. Patent Application Publication No. 2013/0313325;
  • U.S. Patent Application Publication No. 2013/0342717;
  • U.S. Patent Application Publication No. 2014/0001267;
  • U.S. Patent Application Publication No. 2014/0008439;
  • U.S. Patent Application Publication No. 2014/0025584;
  • U.S. Patent Application Publication No. 2014/0034734;
  • U.S. Patent Application Publication No. 2014/0036848;
  • U.S. Patent Application Publication No. 2014/0039693;
  • U.S. Patent Application Publication No. 2014/0042814;
  • U.S. Patent Application Publication No. 2014/0049120;
  • U.S. Patent Application Publication No. 2014/0049635;
  • U.S. Patent Application Publication No. 2014/0061306;
  • U.S. Patent Application Publication No. 2014/0063289;
  • U.S. Patent Application Publication No. 2014/0066136;
  • U.S. Patent Application Publication No. 2014/0067692;
  • U.S. Patent Application Publication No. 2014/0070005;
  • U.S. Patent Application Publication No. 2014/0071840;
  • U.S. Patent Application Publication No. 2014/0074746;
  • U.S. Patent Application Publication No. 2014/0076974;
  • U.S. Patent Application Publication No. 2014/0078341;
  • U.S. Patent Application Publication No. 2014/0078345;
  • U.S. Patent Application Publication No. 2014/0097249;
  • U.S. Patent Application Publication No. 2014/0098792;
  • U.S. Patent Application Publication No. 2014/0100813;
  • U.S. Patent Application Publication No. 2014/0103115;
  • U.S. Patent Application Publication No. 2014/0104413;
  • U.S. Patent Application Publication No. 2014/0104414;
  • U.S. Patent Application Publication No. 2014/0104416;
  • U.S. Patent Application Publication No. 2014/0104451;
  • U.S. Patent Application Publication No. 2014/0106594;
  • U.S. Patent Application Publication No. 2014/0106725;
  • U.S. Patent Application Publication No. 2014/0108010;
  • U.S. Patent Application Publication No. 2014/0108402;
  • U.S. Patent Application Publication No. 2014/0110485;
  • U.S. Patent Application Publication No. 2014/0114530;
  • U.S. Patent Application Publication No. 2014/0124577;
  • U.S. Patent Application Publication No. 2014/0124579;
  • U.S. Patent Application Publication No. 2014/0125842;
  • U.S. Patent Application Publication No. 2014/0125853;
  • U.S. Patent Application Publication No. 2014/0125999;
  • U.S. Patent Application Publication No. 2014/0129378;
  • U.S. Patent Application Publication No. 2014/0131438;
  • U.S. Patent Application Publication No. 2014/0131441;
  • U.S. Patent Application Publication No. 2014/0131443;
  • U.S. Patent Application Publication No. 2014/0131444;
  • U.S. Patent Application Publication No. 2014/0131445;
  • U.S. Patent Application Publication No. 2014/0131448;
  • U.S. Patent Application Publication No. 2014/0133379;
  • U.S. Patent Application Publication No. 2014/0136208;
  • U.S. Patent Application Publication No. 2014/0140585;
  • U.S. Patent Application Publication No. 2014/0151453;
  • U.S. Patent Application Publication No. 2014/0152882;
  • U.S. Patent Application Publication No. 2014/0158770;
  • U.S. Patent Application Publication No. 2014/0159869;
  • U.S. Patent Application Publication No. 2014/0166755;
  • U.S. Patent Application Publication No. 2014/0166759;
  • U.S. Patent Application Publication No. 2014/0168787;
  • U.S. Patent Application Publication No. 2014/0175165;
  • U.S. Patent Application Publication No. 2014/0175172;
  • U.S. Patent Application Publication No. 2014/0191644;
  • U.S. Patent Application Publication No. 2014/0191913;
  • U.S. Patent Application Publication No. 2014/0197238;
  • U.S. Patent Application Publication No. 2014/0197239;
  • U.S. Patent Application Publication No. 2014/0197304;
  • U.S. Patent Application Publication No. 2014/0214631;
  • U.S. Patent Application Publication No. 2014/0217166;
  • U.S. Patent Application Publication No. 2014/0217180;
  • U.S. Patent Application Publication No. 2014/0231500;
  • U.S. Patent Application Publication No. 2014/0232930;
  • U.S. Patent Application Publication No. 2014/0247315;
  • U.S. Patent Application Publication No. 2014/0263493;
  • U.S. Patent Application Publication No. 2014/0263645;
  • U.S. Patent Application Publication No. 2014/0267609;
  • U.S. Patent Application Publication No. 2014/0270196;
  • U.S. Patent Application Publication No. 2014/0270229;
  • U.S. Patent Application Publication No. 2014/0278387;
  • U.S. Patent Application Publication No. 2014/0278391;
  • U.S. Patent Application Publication No. 2014/0282210;
  • U.S. Patent Application Publication No. 2014/0284384;
  • U.S. Patent Application Publication No. 2014/0288933;
  • U.S. Patent Application Publication No. 2014/0297058;
  • U.S. Patent Application Publication No. 2014/0299665;
  • U.S. Patent Application Publication No. 2014/0312121;
  • U.S. Patent Application Publication No. 2014/0319220;
  • U.S. Patent Application Publication No. 2014/0319221;
  • U.S. Patent Application Publication No. 2014/0326787;
  • U.S. Patent Application Publication No. 2014/0332590;
  • U.S. Patent Application Publication No. 2014/0344943;
  • U.S. Patent Application Publication No. 2014/0346233;
  • U.S. Patent Application Publication No. 2014/0351317;
  • U.S. Patent Application Publication No. 2014/0353373;
  • U.S. Patent Application Publication No. 2014/0361073;
  • U.S. Patent Application Publication No. 2014/0361082;
  • U.S. Patent Application Publication No. 2014/0362184;
  • U.S. Patent Application Publication No. 2014/0363015;
  • U.S. Patent Application Publication No. 2014/0369511;
  • U.S. Patent Application Publication No. 2014/0374483;
  • U.S. Patent Application Publication No. 2014/0374485;
  • U.S. Patent Application Publication No. 2015/0001301;
  • U.S. Patent Application Publication No. 2015/0001304;
  • U.S. Patent Application Publication No. 2015/0003673;
  • U.S. Patent Application Publication No. 2015/0009338;
  • U.S. Patent Application Publication No. 2015/0009610;
  • U.S. Patent Application Publication No. 2015/0014416;
  • U.S. Patent Application Publication No. 2015/0021397;
  • U.S. Patent Application Publication No. 2015/0028102;
  • U.S. Patent Application Publication No. 2015/0028103;
  • U.S. Patent Application Publication No. 2015/0028104;
  • U.S. Patent Application Publication No. 2015/0029002;
  • U.S. Patent Application Publication No. 2015/0032709;
  • U.S. Patent Application Publication No. 2015/0039309;
  • U.S. Patent Application Publication No. 2015/0039878;
  • U.S. Patent Application Publication No. 2015/0040378;
  • U.S. Patent Application Publication No. 2015/0048168;
  • U.S. Patent Application Publication No. 2015/0049347;
  • U.S. Patent Application Publication No. 2015/0051992;
  • U.S. Patent Application Publication No. 2015/0053766;
  • U.S. Patent Application Publication No. 2015/0053768;
  • U.S. Patent Application Publication No. 2015/0053769;
  • U.S. Patent Application Publication No. 2015/0060544;
  • U.S. Patent Application Publication No. 2015/0062366;
  • U.S. Patent Application Publication No. 2015/0063215;
  • U.S. Patent Application Publication No. 2015/0063676;
  • U.S. Patent Application Publication No. 2015/0069130;
  • U.S. Patent Application Publication No. 2015/0071819;
  • U.S. Patent Application Publication No. 2015/0083800;
  • U.S. Patent Application Publication No. 2015/0086114;
  • U.S. Patent Application Publication No. 2015/0088522;
  • U.S. Patent Application Publication No. 2015/0096872;
  • U.S. Patent Application Publication No. 2015/0099557;
  • U.S. Patent Application Publication No. 2015/0100196;
  • U.S. Patent Application Publication No. 2015/0102109;
  • U.S. Patent Application Publication No. 2015/0115035;
  • U.S. Patent Application Publication No. 2015/0127791;
  • U.S. Patent Application Publication No. 2015/0128116;
  • U.S. Patent Application Publication No. 2015/0129659;
  • U.S. Patent Application Publication No. 2015/0133047;
  • U.S. Patent Application Publication No. 2015/0134470;
  • U.S. Patent Application Publication No. 2015/0136851;
  • U.S. Patent Application Publication No. 2015/0136854;
  • U.S. Patent Application Publication No. 2015/0142492;
  • U.S. Patent Application Publication No. 2015/0144692;
  • U.S. Patent Application Publication No. 2015/0144698;
  • U.S. Patent Application Publication No. 2015/0144701;
  • U.S. Patent Application Publication No. 2015/0149946;
  • U.S. Patent Application Publication No. 2015/0161429;
  • U.S. Patent Application Publication No. 2015/0169925;
  • U.S. Patent Application Publication No. 2015/0169929;
  • U.S. Patent Application Publication No. 2015/0178523;
  • U.S. Patent Application Publication No. 2015/0178534;
  • U.S. Patent Application Publication No. 2015/0178535;
  • U.S. Patent Application Publication No. 2015/0178536;
  • U.S. Patent Application Publication No. 2015/0178537;
  • U.S. Patent Application Publication No. 2015/0181093;
  • U.S. Patent Application Publication No. 2015/0181109;
  • U.S. patent application Ser. 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. patent application Ser. No. 29/458,405 for an Electronic Device, filed Jun. 19, 2013 (Fitch et al.);
  • U.S. patent application Ser. No. 29/459,620 for an Electronic Device Enclosure, filed Jul. 2, 2013 (London et al.);
  • U.S. patent application Ser. No. 29/468,118 for an Electronic Device Case, filed Sep. 26, 2013 (Oberpriller et al.);
  • U.S. patent application Ser. No. 14/150,393 for Indicia-reader Having Unitary Construction Scanner, filed Jan. 8, 2014 (Colavito et al.);
  • U.S. patent application Ser. No. 14/200,405 for Indicia Reader for Size-Limited Applications filed Mar. 7, 2014 (Feng et al.);
  • U.S. patent application Ser. No. 14/231,898 for Hand-Mounted Indicia-Reading Device with Finger Motion Triggering filed Apr. 1, 2014 (Van Horn et al.);
  • U.S. patent application Ser. No. 29/486,759 for an Imaging Terminal, filed Apr. 2, 2014 (Oberpriller et al.);
  • U.S. patent application Ser. No. 14/257,364 for Docking System and Method Using Near Field Communication filed Apr. 21, 2014 (Showering);
  • U.S. patent application Ser. No. 14/264,173 for Autofocus Lens System for Indicia Readers filed Apr. 29, 2014 (Ackley et al.);
  • U.S. patent application Ser. No. 14/277,337 for MULTIPURPOSE OPTICAL READER, filed May 14, 2014 (Jovanovski et al.);
  • U.S. patent application Ser. No. 14/283,282 for TERMINAL HAVING ILLUMINATION AND FOCUS CONTROL filed May 21, 2014 (Liu et al.);
  • U.S. patent application Ser. No. 14/327,827 for a MOBILE-PHONE ADAPTER FOR ELECTRONIC TRANSACTIONS, filed Jul. 10, 2014 (Hejl);
  • U.S. patent application Ser. No. 14/334,934 for a SYSTEM AND METHOD FOR INDICIA VERIFICATION, filed Jul. 18, 2014 (Hejl);
  • U.S. patent application Ser. No. 14/339,708 for LASER SCANNING CODE SYMBOL READING SYSTEM, filed Jul. 24, 2014 (Xian et al.);
  • U.S. patent application Ser. No. 14/340,627 for an AXIALLY REINFORCED FLEXIBLE SCAN ELEMENT, filed Jul. 25, 2014 (Rueblinger et al.);
  • U.S. patent application Ser. No. 14/446,391 for MULTIFUNCTION POINT OF SALE APPARATUS WITH OPTICAL SIGNATURE CAPTURE filed Jul. 30, 2014 (Good et al.);
  • U.S. patent application Ser. No. 14/452,697 for INTERACTIVE INDICIA READER, filed Aug. 6, 2014 (Todeschini);
  • U.S. patent application Ser. No. 14/453,019 for DIMENSIONING SYSTEM WITH GUIDED ALIGNMENT, filed Aug. 6, 2014 (Li et al.);
  • U.S. patent application Ser. No. 14/462,801 for MOBILE COMPUTING DEVICE WITH DATA COGNITION SOFTWARE, filed on Aug. 19, 2014 (Todeschini et al.);
  • U.S. patent application Ser. No. 14/483,056 for VARIABLE DEPTH OF FIELD BARCODE SCANNER filed Sep. 10, 2014 (McCloskey et al.);
  • U.S. patent application Ser. No. 14/513,808 for IDENTIFYING INVENTORY ITEMS IN A STORAGE FACILITY filed Oct. 14, 2014 (Singel et al.);
  • U.S. patent application Ser. No. 14/519,195 for HANDHELD DIMENSIONING SYSTEM WITH FEEDBACK filed Oct. 21, 2014 (Laffargue et al.);
  • U.S. patent application Ser. No. 14/519,179 for DIMENSIONING SYSTEM WITH MULTIPATH INTERFERENCE MITIGATION filed Oct. 21, 2014 (Thuries et al.);
  • U.S. patent application Ser. No. 14/519,211 for SYSTEM AND METHOD FOR DIMENSIONING filed Oct. 21, 2014 (Ackley et al.);
  • U.S. patent application Ser. No. 14/519,233 for HANDHELD DIMENSIONER WITH DATA-QUALITY INDICATION filed Oct. 21, 2014 (Laffargue et al.);
  • U.S. patent application Ser. No. 14/519,249 for HANDHELD DIMENSIONING SYSTEM WITH MEASUREMENT-CONFORMANCE FEEDBACK filed Oct. 21, 2014 (Ackley et al.);
  • U.S. patent application Ser. No. 14/527,191 for METHOD AND SYSTEM FOR RECOGNIZING SPEECH USING WILDCARDS IN AN EXPECTED RESPONSE filed Oct. 29, 2014 (Braho et al.);
  • U.S. patent application Ser. No. 14/529,563 for ADAPTABLE INTERFACE FOR A MOBILE COMPUTING DEVICE filed Oct. 31, 2014 (Schoon et al.);
  • U.S. patent application Ser. No. 14/529,857 for BARCODE READER WITH SECURITY FEATURES filed Oct. 31, 2014 (Todeschini et al.);
  • U.S. patent application Ser. No. 14/398,542 for PORTABLE ELECTRONIC DEVICES HAVING A SEPARATE LOCATION TRIGGER UNIT FOR USE IN CONTROLLING AN APPLICATION UNIT filed Nov. 3, 2014 (Bian et al.);
  • U.S. patent application Ser. No. 14/531,154 for DIRECTING AN INSPECTOR THROUGH AN INSPECTION filed Nov. 3, 2014 (Miller et al.);
  • U.S. patent application Ser. No. 14/533,319 for BARCODE SCANNING SYSTEM USING WEARABLE DEVICE WITH EMBEDDED CAMERA filed Nov. 5, 2014 (Todeschini);
  • U.S. patent application Ser. No. 14/535,764 for CONCATENATED EXPECTED RESPONSES FOR SPEECH RECOGNITION filed Nov. 7, 2014 (Braho et al.);
  • U.S. patent application Ser. No. 14/568,305 for AUTO-CONTRAST VIEWFINDER FOR AN INDICIA READER filed Dec. 12, 2014 (Todeschini);
  • U.S. patent application Ser. No. 14/573,022 for DYNAMIC DIAGNOSTIC INDICATOR GENERATION filed Dec. 17, 2014 (Goldsmith);
  • U.S. patent application Ser. No. 14/578,627 for SAFETY SYSTEM AND METHOD filed Dec. 22, 2014 (Ackley et al.);
  • U.S. patent application Ser. No. 14/580,262 for MEDIA GATE FOR THERMAL TRANSFER PRINTERS filed Dec. 23, 2014 (Bowles);
  • U.S. patent application Ser. No. 14/590,024 for SHELVING AND PACKAGE LOCATING SYSTEMS FOR DELIVERY VEHICLES filed Jan. 6, 2015 (Payne);
  • U.S. patent application Ser. No. 14/596,757 for SYSTEM AND METHOD FOR DETECTING BARCODE PRINTING ERRORS filed Jan. 14, 2015 (Ackley);
  • U.S. patent application Ser. No. 14/416,147 for OPTICAL READING APPARATUS HAVING VARIABLE SETTINGS filed Jan. 21, 2015 (Chen et al.);
  • U.S. patent application Ser. No. 14/614,706 for DEVICE FOR SUPPORTING AN ELECTRONIC TOOL ON A USER'S HAND filed Feb. 5, 2015 (Oberpriller et al.);
  • U.S. patent application Ser. No. 14/614,796 for CARGO APPORTIONMENT TECHNIQUES filed Feb. 5, 2015 (Morton et al.);
  • U.S. patent application Ser. No. 29/516,892 for TABLE COMPUTER filed Feb. 6, 2015 (Bidwell et al.);
  • U.S. patent application Ser. No. 14/619,093 for METHODS FOR TRAINING A SPEECH RECOGNITION SYSTEM filed Feb. 11, 2015 (Pecorari);
  • U.S. patent application Ser. No. 14/628,708 for DEVICE, SYSTEM, AND METHOD FOR DETERMINING THE STATUS OF CHECKOUT LANES filed Feb. 23, 2015 (Todeschini);
  • U.S. patent application Ser. No. 14/630,841 for TERMINAL INCLUDING IMAGING ASSEMBLY filed Feb. 25, 2015 (Gomez et al.);
  • U.S. patent application Ser. No. 14/635,346 for SYSTEM AND METHOD FOR RELIABLE STORE-AND-FORWARD DATA HANDLING BY ENCODED INFORMATION READING TERMINALS filed Mar. 2, 2015 (Sevier);
  • U.S. patent application Ser. No. 29/519,017 for SCANNER filed Mar. 2, 2015 (Zhou et al.);
  • U.S. patent application Ser. No. 14/405,278 for DESIGN PATTERN FOR SECURE STORE filed Mar. 9, 2015 (Zhu et al.);
  • U.S. patent application Ser. No. 14/660,970 for DECODABLE INDICIA READING TERMINAL WITH COMBINED ILLUMINATION filed Mar. 18, 2015 (Kearney et al.);
  • U.S. patent application Ser. No. 14/661,013 for REPROGRAMMING SYSTEM AND METHOD FOR DEVICES INCLUDING PROGRAMMING SYMBOL filed Mar. 18, 2015 (Soule et al.);
  • U.S. patent application Ser. No. 14/662,922 for MULTIFUNCTION POINT OF SALE SYSTEM filed Mar. 19, 2015 (Van Horn et al.);
  • U.S. patent application Ser. No. 14/663,638 for VEHICLE MOUNT COMPUTER WITH CONFIGURABLE IGNITION SWITCH BEHAVIOR filed Mar. 20, 2015 (Davis et al.);
  • U.S. patent application Ser. No. 14/664,063 for METHOD AND APPLICATION FOR SCANNING A BARCODE WITH A SMART DEVICE WHILE CONTINUOUSLY RUNNING AND DISPLAYING AN APPLICATION ON THE SMART DEVICE DISPLAY filed Mar. 20, 2015 (Todeschini);
  • U.S. patent application Ser. No. 14/669,280 for TRANSFORMING COMPONENTS OF A WEB PAGE TO VOICE PROMPTS filed Mar. 26, 2015 (Funyak et al.);
  • U.S. patent application Ser. No. 14/674,329 for AIMER FOR BARCODE SCANNING filed Mar. 31, 2015 (Bidwell);
  • U.S. patent application Ser. No. 14/676,109 for INDICIA READER filed Apr. 1, 2015 (Huck);
  • U.S. patent application Ser. No. 14/676,327 for DEVICE MANAGEMENT PROXY FOR SECURE DEVICES filed Apr. 1, 2015 (Yeakley et al.);
  • U.S. patent application Ser. No. 14/676,898 for NAVIGATION SYSTEM CONFIGURED TO INTEGRATE MOTION SENSING DEVICE INPUTS filed Apr. 2, 2015 (Showering);
  • U.S. patent application Ser. No. 14/679,275 for DIMENSIONING SYSTEM CALIBRATION SYSTEMS AND METHODS filed Apr. 6, 2015 (Laffargue et al.);
  • U.S. patent application Ser. No. 29/523,098 for HANDLE FOR A TABLET COMPUTER filed Apr. 7, 2015 (Bidwell et al.);
  • U.S. patent application Ser. No. 14/682,615 for SYSTEM AND METHOD FOR POWER MANAGEMENT OF MOBILE DEVICES filed Apr. 9, 2015 (Murawski et al.);
  • U.S. patent application Ser. No. 14/686,822 for MULTIPLE PLATFORM SUPPORT SYSTEM AND METHOD filed Apr. 15, 2015 (Qu et al.);
  • U.S. patent application Ser. No. 14/687,289 for SYSTEM FOR COMMUNICATION VIA A PERIPHERAL HUB filed Apr. 15, 2015 (Kohtz et al.);
  • U.S. patent application Ser. No. 29/524,186 for SCANNER filed Apr. 17, 2015 (Zhou et al.);
  • U.S. patent application Ser. No. 14/695,364 for MEDICATION MANAGEMENT SYSTEM filed Apr. 24, 2015 (Sewell et al.);
  • U.S. patent application Ser. No. 14/695,923 for SECURE UNATTENDED NETWORK AUTHENTICATION filed Apr. 24, 2015 (Kubler et al.);
  • U.S. patent application Ser. No. 29/525,068 for TABLET COMPUTER WITH REMOVABLE SCANNING DEVICE filed Apr. 27, 2015 (Schulte et al.);
  • U.S. patent application Ser. No. 14/699,436 for SYMBOL READING SYSTEM HAVING PREDICTIVE DIAGNOSTICS filed Apr. 29, 2015 (Nahill et al.);
  • U.S. patent application Ser. No. 14/702,110 for SYSTEM AND METHOD FOR REGULATING BARCODE DATA INJECTION INTO A RUNNING APPLICATION ON A SMART DEVICE filed May 1, 2015 (Todeschini et al.);
  • U.S. patent application Ser. No. 14/702,979 for TRACKING BATTERY CONDITIONS filed May 4, 2015 (Young et al.);
  • U.S. patent application Ser. No. 14/704,050 for INTERMEDIATE LINEAR POSITIONING filed May 5, 2015 (Charpentier et al.);
  • U.S. patent application Ser. No. 14/705,012 for HANDS-FREE HUMAN MACHINE INTERFACE RESPONSIVE TO A DRIVER OF A VEHICLE filed May 6, 2015 (Fitch et al.);
  • U.S. patent application Ser. No. 14/705,407 for METHOD AND SYSTEM TO PROTECT SOFTWARE-BASED NETWORK-CONNECTED DEVICES FROM ADVANCED PERSISTENT THREAT filed May 6, 2015 (Hussey et al.);
  • U.S. patent application Ser. No. 14/707,037 for SYSTEM AND METHOD FOR DISPLAY OF INFORMATION USING A VEHICLE-MOUNT COMPUTER filed May 8, 2015 (Chamberlin);
  • U.S. patent application Ser. No. 14/707,123 for APPLICATION INDEPENDENT DEX/UCS INTERFACE filed May 8, 2015 (Pape);
  • U.S. patent application Ser. No. 14/707,492 for METHOD AND APPARATUS FOR READING OPTICAL INDICIA USING A PLURALITY OF DATA SOURCES filed May 8, 2015 (Smith et al.);
  • U.S. patent application Ser. No. 14/710,666 for PRE-PAID USAGE SYSTEM FOR ENCODED INFORMATION READING TERMINALS filed May 13, 2015 (Smith);
  • U.S. patent application Ser. No. 29/526,918 for CHARGING BASE filed May 14, 2015 (Fitch et al.);
  • U.S. patent application Ser. No. 14/715,672 for AUGUMENTED REALITY ENABLED HAZARD DISPLAY filed May 19, 2015 (Venkatesha et al.);
  • U.S. patent application Ser. No. 14/715,916 for EVALUATING IMAGE VALUES filed May 19, 2015 (Ackley);
  • U.S. patent application Ser. No. 14/722,608 for INTERACTIVE USER INTERFACE FOR CAPTURING A DOCUMENT IN AN IMAGE SIGNAL filed May 27, 2015 (Showering et al.);
  • U.S. patent application Ser. No. 29/528,165 for IN-COUNTER BARCODE SCANNER filed May 27, 2015 (Oberpriller et al.);
  • U.S. patent application Ser. No. 14/724,134 for ELECTRONIC DEVICE WITH WIRELESS PATH SELECTION CAPABILITY filed May 28, 2015 (Wang et al.);
  • U.S. patent application Ser. No. 14/724,849 for METHOD OF PROGRAMMING THE DEFAULT CABLE INTERFACE SOFTWARE IN AN INDICIA READING DEVICE filed May 29, 2015 (Barten);
  • U.S. patent application Ser. No. 14/724,908 for IMAGING APPARATUS HAVING IMAGING ASSEMBLY filed May 29, 2015 (Barber et al.);
  • U.S. patent application Ser. No. 14/725,352 for APPARATUS AND METHODS FOR MONITORING ONE OR MORE PORTABLE DATA TERMINALS (Caballero et al.);
  • U.S. patent application Ser. No. 29/528,590 for ELECTRONIC DEVICE filed May 29, 2015 (Fitch et al.);
  • U.S. patent application Ser. No. 29/528,890 for MOBILE COMPUTER HOUSING filed Jun. 2, 2015 (Fitch et al.);
  • U.S. patent application Ser. No. 14/728,397 for DEVICE MANAGEMENT USING VIRTUAL INTERFACES CROSS-REFERENCE TO RELATED APPLICATIONS filed Jun. 2, 2015 (Caballero);
  • U.S. patent application Ser. No. 14/732,870 for DATA COLLECTION MODULE AND SYSTEM filed Jun. 8, 2015 (Powilleit);
  • U.S. patent application Ser. No. 29/529,441 for INDICIA READING DEVICE filed Jun. 8, 2015 (Zhou et al.);
  • U.S. patent application Ser. No. 14/735,717 for INDICIA-READING SYSTEMS HAVING AN INTERFACE WITH A USER'S NERVOUS SYSTEM filed Jun. 10, 2015 (Todeschini);
  • U.S. patent application Ser. No. 14/738,038 for METHOD OF AND SYSTEM FOR DETECTING OBJECT WEIGHING INTERFERENCES filed Jun. 12, 2015 (Amundsen et al.);
  • U.S. patent application Ser. No. 14/740,320 for TACTILE SWITCH FOR A MOBILE ELECTRONIC DEVICE filed Jun. 16, 2015 (Bandringa);
  • U.S. patent application Ser. No. 14/740,373 for CALIBRATING A VOLUME DIMENSIONER filed Jun. 16, 2015 (Ackley et al.);
  • U.S. patent application Ser. No. 14/742,818 for INDICIA READING SYSTEM EMPLOYING DIGITAL GAIN CONTROL filed Jun. 18, 2015 (Xian et al.);
  • U.S. patent application Ser. No. 14/743,257 for WIRELESS MESH POINT PORTABLE DATA TERMINAL filed Jun. 18, 2015 (Wang et al.);
  • U.S. patent application Ser. No. 29/530,600 for CYCLONE filed Jun. 18, 2015 (Vargo et al);
  • U.S. patent application Ser. No. 14/744,633 for IMAGING APPARATUS COMPRISING IMAGE SENSOR ARRAY HAVING SHARED GLOBAL SHUTTER CIRCUITRY filed Jun. 19, 2015 (Wang);
  • U.S. patent application Ser. No. 14/744,836 for CLOUD-BASED SYSTEM FOR READING OF DECODABLE INDICIA filed Jun. 19, 2015 (Todeschini et al.);
  • U.S. patent application Ser. No. 14/745,006 for SELECTIVE OUTPUT OF DECODED MESSAGE DATA filed Jun. 19, 2015 (Todeschini et al.);
  • U.S. patent application Ser. No. 14/747,197 for OPTICAL PATTERN PROJECTOR filed Jun. 23, 2015 (Thuries et al.);
  • U.S. patent application Ser. No. 14/747,490 for DUAL-PROJECTOR THREE-DIMENSIONAL SCANNER filed Jun. 23, 2015 (Jovanovski et al.); and
  • U.S. patent application Ser. No. 14/748,446 for CORDLESS INDICIA READER WITH A MULTIFUNCTION COIL FOR WIRELESS CHARGING AND EAS DEACTIVATION, filed Jun. 24, 2015 (Xie et al.).


Example embodiments of the present invention are thus described in relation to methods and systems (and not unrelated non-transitory computer readable storage media and media products) for evaluating an output pattern printed on a medium. In an example embodiment, a reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan instance of the output pattern is rendered, which comprises a set of features at least corresponding to the printed output pattern and zero or more features additional thereto. A difference image, having the zero or more features of the rendered scan instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features comprising at least one feature, the computed difference image is evaluated in relation to a proximity of at least one feature to locations pixels of the reference pattern.


Example embodiments of the present invention thus evaluate printed media products of mission-critical printing processes to verify or confirm that information presented by output images correspond accurately to original instances and/or input digital reference patterns, on which the printing is based. Example embodiments of the present invention thus verify the printed media products without implicating or resorting to OCR based confirmation of text related images or for printed data patterns, to grading related to standards, specifications, yet exceeding the confirmation of simply checking scannability of the media products. Further, example embodiments verify the printed media products automatically with a high degree of accuracy and testing throughput speed, which obviate spot checking sampled portions of a total printing product output yet add no significant latency or demand on an operator's attention and focus.


For clarity and brevity, as well as to avoid unnecessary or unhelpful obfuscating, obscuring, obstructing, or occluding features of an example embodiment, certain intricacies and details, which are known generally to artisans of ordinary skill in related technologies, may have been omitted or discussed in less than exhaustive detail. Any such omissions or discussions are unnecessary for describing example embodiments of the invention, and not particularly relevant to understanding of significant features, functions and aspects of the example embodiments described herein.


In an exemplary embodiment, the present invention embraces a media product comprising an output pattern evaluated by a process comprising: storing a reference pattern, wherein the output pattern is printed on the medium correspondingly based on the stored reference pattern; rendering a scan based instance of the output pattern, wherein the rendered scan based instance comprises: a set of features at least corresponding to the printed output pattern; and zero or more features in addition to the set of at least corresponding to the printed output pattern; computing a difference image based on a comparison of the rendered scan based instance to the stored reference pattern, the computed difference image comprising the zero or more features of the rendered scan based instance; evaluating the computed difference image upon the zero or more features comprising at least one feature in relation to a proximity of at least one feature to a location of one or more picture elements (pixels) of the stored reference pattern; determining, based on the evaluation of the computed difference image, that the proximity comprises an unacceptably small separation between a position of one or more pixels of the at least one of the zero or more features to the location of the one or more stored reference pattern pixels; and presenting a warning associated with the output pattern, the warning based on the determination in relation to the unacceptably small separation.


In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such example 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. An evaluation method, comprising: receiving a reference pattern corresponding to an output pattern over a network, wherein the output pattern is printed on a medium based on the received reference pattern;rendering a scan based instance of the output pattern, wherein the rendered scan based instance comprises: a set of features at least corresponding to the printed output pattern; andzero or more defect features in addition to the set of features at least corresponding to the printed output pattern, the zero or more defect features comprising zero or more printed defect features;computing a difference image based on a comparison of the rendered scan based instance to the received reference pattern, the computed difference image comprising the zero or more defect features of the rendered scan based instance; andevaluating the computed difference image if the zero or more printed defect features comprise at least one printed defect feature in proximity to at least one feature of one or more picture elements of the received reference pattern.
  • 2. The evaluation method of claim 1, comprising: determining, based on the evaluation step, that the proximity comprises an unacceptably small separation between a position of one or more pixels of the at least one of the zero or more defect features to the location of the one or more received reference pattern pixels; andpresenting a warning, based on the determining step, in relation to the unacceptably small separation.
  • 3. The evaluation method of claim 2, wherein the unacceptably small separation relates to a spatial distance between one or more pixels of the at least one of the zero or more defect features and a position of at least one of the one or more pixels of the received reference pattern.
  • 4. The evaluation method of claim 2, comprising the step of adjusting a subsequent printing of the output pattern based on the determining step, wherein the at least one of the zero or more defect features is eliminated from an output pattern of the subsequent printing.
  • 5. The evaluation method of claim 1, comprising the step of determining that the proximity of the at least one of the zero or more defect features is acceptable in relation to the position of each of a plurality of pixels of the received reference pattern.
  • 6. The evaluation method of claim 5, wherein the determining that the proximity is acceptable relates to an acceptably large separation between each pixel of the at least one of the zero or more defect features to the location of each of the one or more received reference pattern pixels.
  • 7. The evaluation method of claim 5, comprising, upon the determining that the proximity is acceptable in relation to the position of the received reference pattern, the steps of indicating that the at least one of the zero or more defect features is acceptable.
  • 8. The evaluation method of claim 1, wherein the step of rendering the scan based instance comprises the step of scanning the output pattern printed on the medium, the scan based instance rendered based on the scanning step.
  • 9. The evaluation method of claim 1, comprising generating a print quality report comprising whether the printed output pattern complies with a specification, a manner in which the printed output pattern differs from the received reference pattern, steps to correct deviations, statistics related to acceptable and unacceptable defects, and/or a total number of defects.
  • 10. A system, comprising: a scanner operable for receiving a reference pattern corresponding to an output pattern over a network and rendering a scan based instance of the output pattern, wherein the rendered scan based instance comprises: a set of features at least corresponding to the printed output pattern; andzero or more defect features in addition to the set of features at least corresponding to the printed output pattern, the zero or more defect features comprising zero or more printed defect features; andone or more image processors operable for: computing a difference image based on a comparison of the rendered scan based instance to the received reference pattern, the computed difference image comprising the zero or more defect features of the rendered scan based instance; andevaluating the computed difference image if the zero or more printed defect features comprise at least one printed defect feature in proximity to at least one feature of one or more picture elements of the received reference pattern.
  • 11. The system of claim 10, wherein the computation of the difference image by the one or more image processors comprises performing an ‘exclusive OR’ (XOR) logical operation over the pixels of the rendered scan based instance of the output pattern, relative to each corresponding pixel of the received reference pattern.
  • 12. The system of claim 10, wherein the evaluation of the computed difference image by the one or more image processors comprises: determining, based on the evaluation of the computed difference image, that the proximity comprises an unacceptably small separation between a position of one or more pixels of the at least one of the zero or more defect features to the location of the one or more received reference pattern pixels; andpresenting a warning, based on the determining step, in relation to the unacceptably small separation.
  • 13. The system of claim 12, wherein the unacceptably small separation relates to a spatial distance between the one or more pixels of the at least one of the zero or more defect features and a position of at least one of the one or more pixels of the received reference pattern.
  • 14. The system of claim 10, comprising a printer component operable for printing the output pattern on the medium based on the received reference pattern.
  • 15. The system of claim 14, wherein the printer component is further operable for adjusting a subsequent printing of the output pattern based on the determining step, wherein the at least one of the zero or more defect features is eliminated from an output pattern of the subsequent printing.
  • 16. The system of claim 14, wherein the received reference pattern comprises a graphic model, wherein the printer component is further operable for printing the output pattern wherein the printed output pattern corresponds to the received reference pattern based on the graphic model.
  • 17. The system of claim 10, comprising a scanner component operable for scanning the output pattern printed on the medium and for the rendering of the scan based instance.
  • 18. The system of claim 10, wherein the system generates a print quality report comprising whether the printed output pattern complies with a specification, a manner in which the printed output pattern differs from the received reference pattern, steps to correct deviations, statistics related to acceptable and unacceptable defects, and/or a total number of defects.
  • 19. A method, comprising: receiving a reference pattern corresponding to an output pattern printed on a medium;scanning the printed output pattern to determine (i) a set of features of the printed output pattern and (ii) zero or more printed defect features of the printed output pattern;computing a difference image by comparing the scanned, printed output pattern to the received reference pattern, the computed difference image comprising the zero or more printed defect features;evaluating the computed difference image if the zero or more printed defect features comprise at least one printed defect feature in proximity to at least one feature of one or more picture elements of the received reference pattern; anddetermining, based on the evaluation step, that the proximity of at least one printed defect feature to at least one feature of one or more picture elements of the received reference pattern comprises an unacceptably small separation between a position of one or more pixels of the at least one of the zero or more printed defect features to the location of the one or more received reference pattern pixels.
  • 20. The method of claim 19, comprising generating a print quality report comprising whether the printed output pattern complies with a specification, a manner in which the printed output pattern differs from the received reference pattern, steps to correct deviations, statistics related to acceptable and unacceptable defects, and/or a total number of defects.
US Referenced Citations (626)
Number Name Date Kind
4685139 Masuda et al. Aug 1987 A
6832725 Gardiner et al. Dec 2004 B2
7128266 Zhu et al. Oct 2006 B2
7159783 Walczyk et al. Jan 2007 B2
7413127 Ehrhart et al. Aug 2008 B2
7474995 Masiello et al. Jan 2009 B2
7726575 Wang et al. Jun 2010 B2
8294969 Plesko Oct 2012 B2
8314730 Musiak et al. Nov 2012 B1
8317105 Kotlarsky et al. Nov 2012 B2
8322622 Liu Dec 2012 B2
8344933 Kronfeld et al. Jan 2013 B1
8366005 Kotlarsky et al. Feb 2013 B2
8371507 Haggerty et al. Feb 2013 B2
8376233 Van Horn et al. Feb 2013 B2
8381979 Franz Feb 2013 B2
8390909 Plesko Mar 2013 B2
8408464 Zhu et al. Apr 2013 B2
8408468 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
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 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
8604963 Kronfeld et al. Dec 2013 B1
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
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
8678285 Kearney Mar 2014 B2
8678286 Smith et al. Mar 2014 B2
8682077 Longacre 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
8702000 Barber 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
8740082 Wilz 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
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
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 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
8879639 Sauerwein 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 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
8998091 Edmonds et al. Apr 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
9036054 Koziol et al. May 2015 B2
9037344 Chamberlin May 2015 B2
9038911 Xian et al. May 2015 B2
9038915 Smith May 2015 B2
D730901 Oberpriller et al. Jun 2015 S
D730902 Fitch et al. Jun 2015 S
9047098 Barten Jun 2015 B2
9047359 Caballero et al. Jun 2015 B2
9047420 Caballero Jun 2015 B2
9047525 Barber Jun 2015 B2
9047531 Showering et al. Jun 2015 B2
9049640 Wang et al. Jun 2015 B2
9053055 Caballero Jun 2015 B2
9053378 Hou et al. Jun 2015 B1
9053380 Xian et al. Jun 2015 B2
9057641 Amundsen et al. Jun 2015 B2
9058526 Powilleit Jun 2015 B2
9061527 Tobin et al. 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
9076459 Braho et al. Jul 2015 B2
9079423 Bouverie et al. Jul 2015 B2
9080856 Laffargue Jul 2015 B2
9082023 Feng et al. Jul 2015 B2
9084032 Rautiola et al. Jul 2015 B2
9087250 Coyle Jul 2015 B2
9092681 Havens et al. Jul 2015 B2
9092682 Wilz et al. Jul 2015 B2
9092683 Koziol et al. Jul 2015 B2
9093141 Liu Jul 2015 B2
9098763 Lu et al. Aug 2015 B2
9104929 Todeschini Aug 2015 B2
9104934 Li et al. Aug 2015 B2
9107484 Chaney Aug 2015 B2
9111159 Liu et al. Aug 2015 B2
9111166 Cunningham Aug 2015 B2
9135483 Liu et al. Sep 2015 B2
9137009 Gardiner Sep 2015 B1
9141839 Xian et al. Sep 2015 B2
9147096 Wang Sep 2015 B2
9148474 Skvoretz Sep 2015 B2
9158000 Sauerwein Oct 2015 B2
9158340 Reed et al. Oct 2015 B2
9158953 Gillet et al. Oct 2015 B2
9159059 Daddabbo et al. Oct 2015 B2
9165174 Huck Oct 2015 B2
9171543 Emerick et al. Oct 2015 B2
9183425 Wang Nov 2015 B2
9189669 Zhu et al. Nov 2015 B2
9195844 Todeschini et al. Nov 2015 B2
9202458 Braho et al. Dec 2015 B2
9208366 Liu Dec 2015 B2
9208367 Wang Dec 2015 B2
9219836 Bouverie et al. Dec 2015 B2
9224022 Ackley et al. Dec 2015 B2
9224024 Bremer 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
9235553 Fitch et al. Jan 2016 B2
9239950 Fletcher Jan 2016 B2
9245492 Ackley et al. Jan 2016 B2
9443123 Hejl Jan 2016 B2
9248640 Heng Feb 2016 B2
9250652 London et al. Feb 2016 B2
9250712 Todeschini Feb 2016 B1
9251411 Todeschini Feb 2016 B2
9258033 Showering Feb 2016 B2
9262633 Todeschini et al. Feb 2016 B1
9262660 Lu et al. Feb 2016 B2
9262662 Chen et al. Feb 2016 B2
9269036 Bremer Feb 2016 B2
9270782 Hala et al. Feb 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
9286496 Smith Mar 2016 B2
9297900 Jiang Mar 2016 B2
9298964 Li et al. Mar 2016 B2
9301427 Feng et al. Mar 2016 B2
9304376 Anderson Apr 2016 B2
9310609 Rueblinger et al. Apr 2016 B2
9313377 Todeschini et al. Apr 2016 B2
9317037 Byford et al. Apr 2016 B2
D757009 Oberpriller et al. May 2016 S
9342723 Liu et al. May 2016 B2
9342724 McCloskey May 2016 B2
9361882 Ressler et al. Jun 2016 B2
9365381 Colonel et al. Jun 2016 B2
9373018 Colavito et al. Jun 2016 B2
9375945 Bowles Jun 2016 B1
9378403 Wang et al. Jun 2016 B2
D760719 Zhou et al. Jul 2016 S
9360304 Chang et al. Jul 2016 B2
9383848 Daghigh Jul 2016 B2
9384374 Bianconi Jul 2016 B2
9390596 Todeschini Jul 2016 B1
D762604 Fitch et al. Aug 2016 S
9411386 Sauerwein Aug 2016 B2
9412242 Van Horn et al. Aug 2016 B2
9418269 Havens et al. Aug 2016 B2
9418270 Van Volkinburg et al. Aug 2016 B2
9423318 Lui et al. Aug 2016 B2
D766244 Zhou et al. Sep 2016 S
9443222 Singel et al. Sep 2016 B2
9454689 McCloskey et al. Sep 2016 B2
9464885 Lloyd et al. Oct 2016 B2
9465967 Xian et al. Oct 2016 B2
9478113 Xie et al. Oct 2016 B2
9478983 Kather et al. Oct 2016 B2
D771631 Fitch et al. Nov 2016 S
9481186 Bouverie et al. 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
9530038 Xian et al. Dec 2016 B2
D777166 Bidwell et al. Jan 2017 S
9558386 Yeakley Jan 2017 B2
9572901 Todeschini Feb 2017 B2
9606581 Howe et al. Mar 2017 B1
D783601 Schulte et al. Apr 2017 S
D785617 Bidwell et al. May 2017 S
D785636 Oberpriller et al. May 2017 S
9646189 Lu et al. May 2017 B2
9646191 Unemyr 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
9659198 Giordano et al. May 2017 B2
D790505 Vargo et al. Jun 2017 S
D790546 Zhou et al. Jun 2017 S
9680282 Hanenburg Jun 2017 B2
9697401 Feng et al. Jul 2017 B2
9701140 Alaganchetty et al. Jul 2017 B1
9916488 Unemyr et al. Mar 2018 B2
20010040599 Dundand Nov 2001 A1
20040035932 Bailleu et al. Feb 2004 A1
20040189603 Arrigo et al. Sep 2004 A1
20050286742 Rasmussen et al. Dec 2005 A1
20070063048 Havens et al. Mar 2007 A1
20090116044 Platt et al. May 2009 A1
20090134221 Zhu et al. May 2009 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
20110169999 Grunow et al. Jul 2011 A1
20110202554 Powilleit et al. Aug 2011 A1
20120092701 Wang et al. Apr 2012 A1
20120111946 Golant May 2012 A1
20120168512 Kotlarsky et al. Jul 2012 A1
20120193423 Samek Aug 2012 A1
20120203647 Smith Aug 2012 A1
20120223141 Good et al. Sep 2012 A1
20130043312 Van Horn Feb 2013 A1
20130075168 Amundsen et al. Mar 2013 A1
20130175341 Kearney et al. Jul 2013 A1
20130175343 Good Jul 2013 A1
20130257744 Daghigh et al. Oct 2013 A1
20130257759 Daghigh Oct 2013 A1
20130270346 Xian et al. 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 Pedraro Nov 2013 A1
20130307964 Bremer et al. Nov 2013 A1
20130308625 Park et al. Nov 2013 A1
20130313324 Koziol et al. Nov 2013 A1
20130332524 Fiala et al. Dec 2013 A1
20140001267 Giordano et al. Jan 2014 A1
20140002828 Laffargue et al. Jan 2014 A1
20140025584 Liu et al. Jan 2014 A1
20140100813 Showering Jan 2014 A1
20140034734 Sauerwein Feb 2014 A1
20140039693 Havens 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
20140078342 Li et al. Mar 2014 A1
20140079297 Tadayon et al. Mar 2014 A1
20140098792 Wang et al. Apr 2014 A1
20140100774 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
20140106725 Sauerwein Apr 2014 A1
20140108010 Maltseff et al. Apr 2014 A1
20140108402 Gomez et al. Apr 2014 A1
20140108682 Caballero Apr 2014 A1
20140110485 Toa et al. Apr 2014 A1
20140114530 Fitch et al. Apr 2014 A1
20140125853 Wang May 2014 A1
20140125999 Longacre et al. May 2014 A1
20140129378 Richardson May 2014 A1
20140131443 Smith May 2014 A1
20140131444 Wang May 2014 A1
20140133379 Wang et al. May 2014 A1
20140136208 Maltseff et al. May 2014 A1
20140140585 Wang May 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
20140166757 Smith Jun 2014 A1
20140168787 Wang et al. Jun 2014 A1
20140175165 Havens et al. Jun 2014 A1
20140191913 Ge et al. Jul 2014 A1
20140197239 Havens et al. Jul 2014 A1
20140197304 Feng et al. Jul 2014 A1
20140204268 Grunow 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
20140247315 Marty et al. Sep 2014 A1
20140263493 Amurgis et al. Sep 2014 A1
20140263645 Smith et al. Sep 2014 A1
20140270196 Braho et al. Sep 2014 A1
20140270229 Braho Sep 2014 A1
20140278387 DiGregorio Sep 2014 A1
20140282210 Bianconi Sep 2014 A1
20140288933 Braho et al. Sep 2014 A1
20140297058 Barker et al. Oct 2014 A1
20140299665 Barber et al. Oct 2014 A1
20140351317 Smith et al. Nov 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
20150009338 Laffargue et al. Jan 2015 A1
20150014416 Kotlarsky et al. Jan 2015 A1
20150021397 Rueblinger et al. 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
20150040378 Saber et al. Feb 2015 A1
20150049347 Laffargue et al. Feb 2015 A1
20150051992 Smith Feb 2015 A1
20150053769 Thuries et al. Feb 2015 A1
20150062366 Liu et al. Mar 2015 A1
20150063215 Wang Mar 2015 A1
20150088522 Hendrickson et al. Mar 2015 A1
20150096872 Woodburn Apr 2015 A1
20150100196 Hollifield Apr 2015 A1
20150115035 Meier et al. Apr 2015 A1
20150127791 Kosecki et al. May 2015 A1
20150128116 Chen et al. May 2015 A1
20150130717 Hasu May 2015 A1
20150133047 Smith et al. May 2015 A1
20150134470 Hejl et al. May 2015 A1
20150136851 Harding et al. May 2015 A1
20150142492 Kumar May 2015 A1
20150144692 Hejl May 2015 A1
20150144698 Teng et al. May 2015 A1
20150149946 Benos et al. May 2015 A1
20150161429 Xian Jun 2015 A1
20150186703 Chen et al. Jul 2015 A1
20150199957 Funyak et al. Jul 2015 A1
20150210199 Payne Jul 2015 A1
20150220753 Zhu et al. Aug 2015 A1
20150254485 Feng et al. Sep 2015 A1
20150310243 Ackley Oct 2015 A1
20150310389 Crimm et al. Oct 2015 A1
20150327012 Bian et al. Nov 2015 A1
20160014251 Hejl Jan 2016 A1
20160040982 Li et al. Feb 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
20160102975 McCloskey et al. Apr 2016 A1
20160104019 Todeschini et al. Apr 2016 A1
20160104274 Jovanovski et al. Apr 2016 A1
20160109219 Ackley et al. Apr 2016 A1
20160109220 Laffargue Apr 2016 A1
20160109224 Thuries et al. Apr 2016 A1
20160112631 Ackley et al. Apr 2016 A1
20160112643 Laffargue et al. Apr 2016 A1
20160117627 Raj et al. Apr 2016 A1
20160124516 Schoon et al. May 2016 A1
20160125217 Todeschini May 2016 A1
20160125342 Miller et al. May 2016 A1
20160133253 Braho et al. May 2016 A1
20160171597 Todeschini Jun 2016 A1
20160171666 McCloskey Jun 2016 A1
20160171720 Todeschini 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 et al. 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
20160180678 Ackley 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 Linwood Jun 2016 A1
20160188944 Wilz 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 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
20160191684 DiPiazza et al. Jun 2016 A1
20160192051 DiPiazza et al. Jun 2016 A1
20160125873 Braho et al. Jul 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 Haggert et al. Jul 2016 A1
20160204636 Allen et al. Jul 2016 A1
20160204638 Miraglia et al. Jul 2016 A1
20160316190 McCloskey et al. Jul 2016 A1
20160227912 Oberpriller et al. Aug 2016 A1
20160232891 Pecorari Aug 2016 A1
20160266249 Kauffman et al. Sep 2016 A1
20160292477 Bidwell Oct 2016 A1
20160294779 Yeakley et al. Oct 2016 A1
20160306769 Kohtz et al. Oct 2016 A1
20160314276 Sewell et al. Oct 2016 A1
20160314294 Kubler et al. Oct 2016 A1
20160323310 Todeschini et al. Nov 2016 A1
20160325677 Fitch et al. Nov 2016 A1
20160327614 Young et al. Nov 2016 A1
20160327930 Charpentier et al. Nov 2016 A1
20160328762 Pape Nov 2016 A1
20160330218 Hussey et al. Nov 2016 A1
20160343163 Venkatesha et al. Nov 2016 A1
20160343176 Ackley Nov 2016 A1
20160364914 Todeschini Dec 2016 A1
20160370220 Ackley et al. Dec 2016 A1
20160372282 Bandringa Dec 2016 A1
20160373847 Vargo et al. Dec 2016 A1
20160377414 Thuries et al. Dec 2016 A1
20160377417 Jovanovski et al. Dec 2016 A1
20170010141 Ackley Jan 2017 A1
20170010328 Mullen et al. Jan 2017 A1
20170010780 Waldron 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
20170061961 Nichols et al. Mar 2017 A1
20170064634 Van Horn et al. Mar 2017 A1
20170083730 Feng 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 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
20170190192 Delario et al. Jul 2017 A1
20170193432 Bernhardt Jul 2017 A1
20170193461 Jonas et al. Jul 2017 A1
20170193727 Van Horn et al. Jul 2017 A1
20170200108 Au et al. Jul 2017 A1
20170200275 McCloskey et al. Jul 2017 A1
Foreign Referenced Citations (3)
Number Date Country
106778879 May 2017 CN
3067710 Sep 2016 EP
2013163789 Nov 2013 WO
Non-Patent Literature Citations (2)
Entry
Extended European Search Report in counterpart EP Application No. 16190014.7 dated Feb. 16, 2017, pp. 1-12.
Extended European Search Report in related EP Application No. 17161312.8 dated Aug. 24, 2017, pp. 1-7.
Related Publications (1)
Number Date Country
20180196981 A1 Jul 2018 US
Continuations (2)
Number Date Country
Parent 15585347 May 2017 US
Child 15916473 US
Parent 14862336 Sep 2015 US
Child 15585347 US