Patent Grant
11968464
The invention relates to image data collection in general and particularly to an image data collector with coordinated illumination and global shutter control.
Many traditional imager readers, such as hand held and fixed mounted bar code and machine code readers, employ charge-coupled device (CCDs) based image sensors. A CCD based image sensor contains an array of electrically coupled light sensitive photodiodes that convert incident light energy into packets of electric charge. In operation, the charge packets are shifted out of the CCD imager sensor for subsequent processing.
Some image readers employ CMOS based image sensors as an alternative imaging technology. As with CCDs, CMOS based image sensors contain arrays of light sensitive photodiodes that convert incident light energy into electric charge. Unlike CCDs, however, CMOS based image sensors allow each pixel in a two-dimensional array to be directly addressed. One advantage of this is that sub-regions of a full frame of image data can be independently accessed. Another advantage of CMOS based image sensors is that in general they have lower costs per pixel. This is primarily due to the fact that CMOS image sensors are made with standard CMOS processes in high volume wafer fabrication facilities that produce common integrated circuits such as microprocessors and the like. In addition to lower cost, the common fabrication process means that a CMOS pixel array can be integrated on a single circuit with other standard electronic devices such as clock drivers, digital logic, analog/digital converters and the like. This in turn has the further advantage of reducing space requirements and lowering power usage.
CMOS based image readers have traditionally employed rolling shutters to expose pixels in the sensor array. In a rolling shutter architecture, rows of pixels are activated and read out in sequence. The exposure or integration time for a pixel is the time between a pixel being reset and its value being read out. This concept is presented in
In operation, the rolling shutter architecture suffers from at least two disadvantages: image distortion and image blur. Image distortion is an artifact of the different times at which each row of pixels is exposed. The effect of image distortion is most pronounced when fast moving objects are visually recorded. The effect is demonstrated in the image shown in
Image blur is an artifact of the long exposure periods typically required in a rolling shutter architecture in an image reader. As indicated above, in a rolling shutter architecture the illumination source must remain on during substantially all of the time required to capture a frame of data. Due to battery and/or illumination source limitations, the light provided during the capture of an entire frame of data is usually not adequate for short exposure times. Without a short exposure time, blur inducing effects become pronounced. Common examples of blur inducing effects include the displacement of an image sensor due to, for example, hand shake with a hand held image reader.
What is needed is an image reader that overcomes the drawbacks of current CMOS image readers including image distortion and image blur.
In one aspect, the invention features a complementary metal oxide semiconductor (CMOS) based image reader for collecting image data from a target. The CMOS based imager reader comprises a CMOS based image sensor array; a timing module in electrical communication with the CMOS based image sensor array. The timing module is capable of simultaneously exposing an entire frame of pixels of the CMOS based image sensor array during an exposure period. The CMOS based image reader also comprises an illumination module capable of illuminating the target during an illumination period. The illumination module is in electrical communication with the timing module. The CMOS based image reader further comprises a control module in electrical communication with the timing module and the illumination module. The control module is capable of causing at least a portion of the exposure period to occur during the illumination period. In one embodiment of the CMOS based image reader, illuminating the target comprises overdriving light sources in the illumination module. In another embodiment of the CMOS based image reader, the light sources comprise light emitting diodes. In a further embodiment of the CMOS based image reader, the exposure period starts after the start of the illumination period and the exposure period ends before the end of the illumination period. In yet another embodiment of the CMOS based image reader, the illumination period starts after the start of the exposure period and the illumination period ends before the end of the exposure period. In yet an additional embodiment of the CMOS based image reader, the illumination period starts before the start of the exposure period and the illumination period ends before the end of the exposure period. In yet a further embodiment of the CMOS based image reader, the exposure period has a duration of less than 3.7 milliseconds. In various embodiments of the CMOS based image reader, the target includes a symbology such as a one-dimensional bar code such as a Code 39 or a UPC code or a two-dimensional bar code such as a PDF417 bar code, an Aztec symbol or Datamatrix symbol.
In another aspect the invention features a complementary metal oxide semiconductor (CMOS) based image reader for collecting image data from a target. The CMOS based imager reader comprises an integrated circuit including at least a CMOS based image sensor array and global electronic shutter control circuitry. The global electronic shutter control circuitry is capable of generating an exposure control timing pulse that is capable of causing the simultaneous exposure of substantially all of an entire frame of pixels of the CMOS based image sensor array. The CMOS based image reader also comprises light sources in electrical communication with the integrated circuit. The light sources are capable of illuminating the target including the symbology in response to an illumination control timing pulse. At least a portion of the illumination control timing pulse occurs during the exposure control timing pulse. In one embodiment of the CMOS based image reader, illuminating the target comprises overdriving light sources. In another embodiment of the CMOS based image reader, the light sources comprise light emitting diodes. In a further embodiment of the CMOS based image reader, the exposure period starts after the start of the illumination period and the exposure period ends before the end of the illumination period. In yet another embodiment of the CMOS based image reader, the illumination period starts after the start of the exposure period and the illumination period ends before the end of the exposure period. In yet an additional embodiment of the CMOS based image reader, the illumination period starts before the start of the exposure period and the illumination period ends before the end of the exposure period. In yet a further embodiment of the CMOS based image reader, the exposure period has a duration of less than 3.7 milliseconds. In various embodiments of the CMOS based image reader, the target includes a symbology such as a one-dimensional bar code such as a Code 39 or a UPC code or a two-dimensional bar code such as a PDF417 bar code, an Aztec symbol or Datamatrix symbol.
In a further aspect, the invention features an image reader for collecting image data from a target. The imager reader comprises an integrated circuit including at least an image sensor array and exposure timing control circuitry. The exposure timing control circuitry is capable of generating an exposure control timing pulse that is capable of simultaneously exposing substantially all of the pixels in the image sensor array. The image reader also comprises an illumination module in electrical communication with the integrated circuit. The illumination module comprises light sources that are capable of illuminating the target in response to an illumination control timing pulse. At least a portion of the illumination control timing pulse occurs during the exposure control timing pulse. In one embodiment of the image reader, the illumination control timing pulse is generated by an illumination module. In another embodiment of the image reader, the overlap between the illumination control timing pulse and the exposure control timing pulse is coordinated by a control module that is in electrical communication with the integrated circuit and the illumination module. In a further embodiment of the image reader, the control module comprises a microprocessor. In one embodiment of the image reader, illuminating the target comprises overdriving light sources. In another embodiment of the image reader, the light sources comprise light emitting diodes. In a further embodiment of the image reader, the exposure period starts after the start of the illumination period and the exposure period ends before the end of the illumination period. In yet another embodiment of the image reader, the illumination period starts after the start of the exposure period and the illumination period ends before the end of the exposure period. In yet an additional embodiment of the image reader, the illumination period starts before the start of the exposure period and the illumination period ends before the end of the exposure period. In yet a further embodiment of the image reader, the exposure period has a duration of less than 3.7 milliseconds. In various embodiments of the CMOS based image reader, the target includes a symbology such as a one-dimensional bar code such as a Code 39 or a UPC code or a two-dimensional bar code such as a PDF417 bar code, an Aztec symbol or Datamatrix symbol.
In another aspect, the invention features a method for collecting image data from a target. The method comprises activating light sources to illuminate the target in response to an illumination control timing pulse. The activation of the light sources occurs for the duration of the illumination control timing pulse. The method also comprises simultaneously activating a plurality of pixels to photoconvert incident radiation. The activation of the plurality of pixels occurs in response to an exposure control timing pulse. The method additionally comprises storing image data collected by each of the plurality of pixels in a shielded portion of each of the plurality of pixels. The storing of the image data occurs in response to the exposure control timing pulse. The method further comprises reading out image data from the plurality of pixels wherein at least a portion of the exposure control timing pulse occurs during the illumination control timing pulse. In one embodiment, the method further comprises coordinating the overlap between the illumination control timing pulse and the exposure control timing pulse. The coordination is directed by a control module. In one such embodiment of the method, the control module comprises a microprocessor. In another embodiment of the method, illuminating the target comprises overdriving light sources in an illumination module. In an additional embodiment of the method, the light sources comprise light emitting diodes. In a further embodiment of the method, the storing of image data occurs in response to a stop portion of the exposure control timing pulse. In an additional embodiment of the method, the exposure period starts after the start of the illumination period and the exposure period ends before the end of the illumination period. In yet another embodiment of the method, the illumination period starts after the start of the exposure period and the illumination period ends before the end of the exposure period. In yet an additional embodiment of the method, the illumination period starts before the start of the exposure period and the illumination period ends before the end of the exposure period. In yet a further embodiment of the method, the exposure period has a duration of less than 3.7 milliseconds. In various embodiments of the CMOS based image reader, the target includes a symbology such as a one-dimensional bar code such as a Code 39 or a UPC code or a two-dimensional bar code such as a PDF417 bar code, an Aztec symbol or Datamatrix symbol.
In another aspect, the invention features a bar code image reader for collecting and processing bar code data from a bar code symbol. The image reader comprises a two-dimensional array of pixels for receiving light radiation reflected from the bar code symbol, the two-dimensional array of pixels comprising a first plurality of pixels and a second plurality of pixels, the two-dimensional array capable of reading out the first plurality of pixels independently of reading out the second plurality, each of the pixels comprising a photosensitive region and an opaque shielded data storage region. The image reader also comprising an optics assembly for directing light radiation reflected from the bar code symbol onto the two-dimensional array of pixels. The image reader further comprising a global electronic shutter associated with the two-dimensional array of pixels, the global electronic shutter capable of simultaneously exposing substantially all of the pixels in the two-dimensional array. The image reader additionally comprising a processor module, the processor module in electronic communication with the two-dimensional array of pixels, the processor module capable of processing image data from the two-dimensional array of pixels to generate decoded bar code data. In one embodiment of the bar code image reader, the two-dimensional image sensor array is a complementary metal oxide (CMOS) image sensor. In another embodiment of the bar code image reader, processing the image data to generate output data comprises automatically discriminating between a plurality of bar code types.
In another aspect, the invention features a complementary metal oxide semiconductor (CMOS) based image reader for collecting image data from a target. The CMOS based imager reader comprises a CMOS based image sensor array, the CMOS based image sensor array comprising a first plurality of pixels and a second plurality of pixels, the CMOS based image sensor array capable of reading out the first plurality of pixels independently of reading out the second plurality, each of the pixels of the CMOS based image sensor array comprising a photosensitive region and an opaque shielded data storage region. The CMOS based image reader also comprising a timing module in electrical communication with the CMOS based image sensor array, the timing module configured to simultaneously expose an entire frame of pixels of the CMOS based image sensor array during an exposure period. The CMOS based image sensor array further comprising an illumination module configured to illuminate the target during an illumination period, the illumination module in electrical communication with the timing module. The CMOS based image sensor array additionally comprising a control module in electrical communication with the timing module and the illumination module, the control module configured to cause at least a portion of the exposure period to occur during the illumination period.
In a further aspect, the invention features a complementary metal oxide semiconductor (CMOS) based image reader for collecting image data from a target. The CMOS based imager reader comprising an integrated circuit including at least a CMOS based image sensor array, the CMOS based image sensor array comprising a first plurality of pixels and a second plurality of pixels, the CMOS based image sensor array capable of reading out the first plurality of pixels independently of reading out the second plurality, each of the pixels of the CMOS based image sensor array comprising a photosensitive region and an opaque shielded data storage region. The CMOS based image sensor array also comprising a global electronic shutter control circuitry, the global electronic shutter control circuitry configured to generate an exposure control timing pulse that is capable of causing the simultaneous exposure of substantially all of an entire frame of pixels of the CMOS based image sensor array. The CMOS based image sensor array further comprising light sources configured to illuminate the target in response to an illumination control timing pulse, the light sources in electrical communication with the integrated circuit. In operation of the CMOS based image reader at least a portion of the illumination control timing pulse overlaps with at least a portion of the exposure control timing pulse. In one embodiment of the CMOS based image reader, illuminating the target comprises overdriving light sources in the illumination module. In another embodiment of the CMOS based reader the light sources comprise light emitting diodes. In a further embodiment of the CMOS based image reader, the exposure control timing pulse has a shorter duration than the illumination control timing pulse. In an additional embodiment of the CMOS based image reader, the illumination control timing pulse has a shorter duration than the exposure control timing pulse. In still another embodiment of the CMOS based imager reader, the illumination control timing pulse starts before the start of the exposure control timing pulse and the illumination control timing pulse ends before the end of the exposure control timing pulse. In still a further embodiment of the CMOS based imager reader, the exposure control timing pulse has a duration of less than 3.7 milliseconds. In still an additional embodiment of the CMOS based imager reader, the target includes a symbology. In one such embodiment, the symbology is a one-dimensional bar code. In another such embodiment, the symbology is a two-dimensional bar code. In one such embodiment, the two-dimensional bar code is a PDF417 bar code.
In a further aspect, the invention features a bar code image reader for collecting image data from a bar code. The imager reader comprises an integrated circuit including at least a two-dimensional image sensor array, the two-dimensional image sensor array including a plurality of active pixels, each active pixel including at least a shielded data storage area, the two-dimensional image sensor array capable of employing a transfer function to convert an incident light intensity into an output voltage, the transfer function having a first region with a first slope and a second region with a second slope, the two-dimensional image sensor array capable of employing the second region of the transfer function when the incident light intensity is above a specified level and the two-dimensional image sensor array capable of employing the first region of the transfer function when the incident intensity is below a specified level. The bar code image reader also comprises an exposure timing control circuitry, the exposure timing control circuitry configured to generate an exposure control timing pulse that is capable of simultaneously exposing all or substantially all of the pixels in the image sensor array to photoconvert incident radiation. In one embodiment, the exposure control timing pulse has a duration of less than 3.7 milliseconds. In another embodiment, a dynamic range of the two-dimensional image array sensor is greater than 65 decibels.
In yet another aspect, the invention features a method for automatically focusing an image reader. The method comprises directing with an optical system light energy reflected from a target onto an image sensor. The method also comprises exposing sequentially a plurality of rows of pixels in the image sensor during a frame exposure period, the frame exposure period being defined as a time duration extending from the beginning of the exposure of the first of the plurality of rows to the end of the exposure of the last of the plurality of rows. The method further comprising varying in incremental steps an optical system from a first setting where a distinct image of objects located at a first distance from the image reader is formed on the image sensor to a second setting where a distinct image of objects located at a second distance from the image reader is formed on the image sensor. The method additionally comprising reading out a plurality of rows of image data from the plurality of rows of pixels in the image sensor, wherein the varying in incremental steps the optical system occurs during at least a portion of the frame exposure period. In one embodiment, the method further comprises analyzing the plurality of rows of image data to determine a proper setting for the optical system corresponding to a distinct image of the target being formed on the image sensor. In an additional embodiment, the method also comprises simultaneously exposing the plurality of rows in the image sensor to generate an image of the target. In one embodiment of the method, the exposure period for adjacent lines of pixels in image reader overlap. In another embodiment of the method, the target includes a symbology. In one such embodiment, the symbology is a one-dimensional bar code. In another such embodiment, the symbology is a two-dimensional bar code.
In another aspect, the invention features an image reader with an automatic focusing capability. The imager reader comprising an integrated circuit including at least an image sensor array. The image reader also comprising an optical system capable of directing light reflected from a target onto the image sensor array, the optical system having a plurality of focus settings, a first focus setting corresponding to distinct images of objects located at a first distance from the image reader being formed on the image sensor array and a second focus setting corresponding to distinct images of objects located at a second distance from the image reader being formed on the image sensor array. The image reader further comprising a rolling shutter control module configured to sequentially expose a plurality of rows of pixels in the image sensor array to collect focusing image data. The imager reader additionally comprising an automatic focusing module configured to analyze the focusing image data to determine a focus setting for the target corresponding to a distinct image of the target being formed on the image sensor, wherein the optical system is capable of being varied in incremental steps from the first focus setting to the second focus setting during at least a portion of a time period during which the rolling shutter control module is sequentially exposing the plurality of rows of pixels. In one embodiment, the imager reader further comprises a global electronic shutter control module configured to simultaneously expose the plurality of lines of pixels in the image sensor array to collect a frame of image data once the focus setting for the target has been determined. In another embodiment of the image reader, the rolling shutter control module and the global electronic shutter control module are integrated on the same integrated circuit containing the image sensor array. In a further embodiment of the image reader, the rolling shutter control module and the global electronic shutter control module are combined in a single image array control module. In an additional embodiment of the image reader, the rolling shutter control module is capable of causing exposure periods for adjacent rows of pixels to overlap.
In another aspect, the invention features an image reader for minimizing ambient light image degradation. The image reader comprises an integrated circuit including at least an image sensor array, the image sensor array providing a signal suitable for light intensity determination. The image reader also comprises a rolling shutter control module configured to sequentially expose a plurality line of pixels in the image sensor array. The image reader further comprises a global electronic shutter control module configured to simultaneously expose the plurality of lines of pixels in the image sensor array, wherein one of the rolling shutter control module and the global electronic shutter control module is capable of being selected to control the image sensor array in response to the signal suitable for light intensity determination. In one embodiment of the image reader, the signal suitable for light intensity determination includes information related to an intensity of a light source of the image reader. In another embodiment of the image reader, the signal suitable for light intensity determination is useful for determining whether a minimum integration time is satisfied. In a further embodiment of the image reader, the signal suitable for light intensity determination is useful for determining whether the exposure time (also known as the integration time) for the current environmental condition is less than a calculated minimum integration time. In yet another embodiment of the image reader, the rolling shutter control module and the global electronic shutter control module are integrated on the same integrated circuit containing the image sensor array.
In still another aspect, the invention features a method for minimizing image data degradation collected by an image reader. The method comprises determining at least one parameter related to an ambient light intensity and analyzing the at least one parameter. The method also comprises switching control of an image sensor array in the image reader from a global electronic shutter control module to a rolling shutter control module in response to the analysis of the at least one parameter. In one embodiment of the method, the at least one parameter includes an exposure time for current environmental conditions. In another embodiment of the method, the analyzing the at least one parameter includes calculating a ratio of the exposure time for current environmental conditions to a predetermined exposure time. In one such embodiment, the predetermined exposure time is based on illumination supplied by light sources of the image reader. In another embodiment of the method, analyzing the at least one parameter includes determining whether a ratio of the ambient light intensity to an intensity of a light source of the image reader exceeds a specified threshold.
The foregoing and other objects, aspects, features, and advantages of the invention will become more apparent from the following description and from the claims.
The objects and features of the invention can be better understood with reference to the drawings described below, and the claims. The drawings are not necessarily to scale, emphasis instead generally being placed upon illustrating the principles of the invention. In the drawings, like numerals are used to indicate like parts throughout the various views.
The invention features an image reader and a corresponding method for capturing a sharp non-distorted image of a target. In one embodiment, the image reader comprises a two-dimensional CMOS based image sensor array, a timing module, an illumination module, and a control module all in electrical communication with each other. The illumination module shines light on the target, such as a symbology such as one or two-dimensional bar code, so that reflected light that can be collected and processed by the image sensor array. The time during which the target is illuminated is referred to as the illumination period. The capture of the image by the image sensor array is driven by the timing module that, in one embodiment, is able to simultaneously expose all or substantially all of the pixels in the array. The simultaneous exposure of the pixels in the sensor array enables the image reader to capture a distortion free image. The time during which the pixels are collectively activated to photo-convert incident light into charge defines the exposure period for the sensor array. At the end of the exposure period, the collected charge is transferred to a shielded storage area until the data is read out. In one embodiment, the exposure period and the illumination period are under the control of the control module. In one such embodiment, the control module causes at least a portion of the exposure period to occur during the illumination period. By adequately shortening either the illumination period or the exposure period in an environment of low ambient lighting or the exposure period in an environment of high ambient lighting, the image reader of the present invention is able to capture an image substantially free of blurring.
Referring to
Dataform decode module 150 (which may be a bar code symbol dataform decode module) when receiving image data transferred by control module 112 may search the image data for markers, such as a quiet zone, indicative of the presence of a dataform, such as a one or two-dimensional bar code. If a potential dataform is located, the dataform decode module 150 applies one or more dataform decoding algorithms to the image data. If the decode attempt is successful, the image reader outputs decoded dataform data through I/O module 120 and signals a successful read with an alert, such as a beep tone through user interface module 134.
Image reader 100 may also include an autodiscriminating module 152. Referring to
As shown in this embodiment, the image processing and analysis module 1208 comprises a feature extraction module 1212, a generalized classifier module 1216, a signature data processing module 1218, an OCR decode module 1222, and a graphics analysis module 1224 that are in communication with each other. In addition as shown in
In one embodiment if the decode attempt is not successful, the image data is transferred (step 1326) to the image processing and analysis module 1208. In another embodiment, the image data is processed in parallel with the attempt to decode the dataform data. In one such embodiment, the process that completes first (i.e., dataform decode attempt or the image processing) outputs its data (e.g., a decoded bar code or a captured signature) and the other parallel process is terminated. In a further embodiment, the image data is processed in response to the decoding of the dataform. In one such embodiment, a bar code encodes item information such as shipping label number and information indicating that a signature should be captured.
Within the image processing and analysis module 1208, the image data is processed by the feature extraction module 1212. In general, the feature extraction module generates numeric outputs that are indicative of the texture of the image data. As indicated above, the texture of the image data refers to the characteristics of the type of data contained in the image data. Common types of texture include one or two-dimensional bar code texture, signature texture, graphics texture, typed text texture, hand-written text texture, drawing or image texture, photograph texture, and the like. Within any category of textures, sub-categories of texture are sometime capable of being identified.
As part of the processing of the image data by the feature extraction module 1212, the image data is processed (step 1328) by the binarizer module 1226. The binarizer module 1226 binarizes the grey level image into a binary image according to the local thresholding and target image size normalization. With the image data binarized, the image data is processed (step 1332) by the line thinning module 1228 to reduce multi-pixel thick line segments into single pixel thick lines. With binarized line thinned image data, the image data is processed (step 1336) by the convolution module 1230.
In general, the convolution module 1230 convolves the processed image data with one or more detector maps designed according to the invention to identify various textural features in the image data. In one embodiment, the convolution module 1230 generates a pair of numbers, the mean and variance (or standard deviation), for each convolved detector map.
Further processing of the image data includes the outputs from the feature extraction module 1212 being fed (step 1340) into the generalized classified module 1216. The generalized classifier module 1216 uses the numbers generated by the feature extraction module as inputs to a neural network, a mean square error classifier or the like. These tools are used to classify the image data into general categories. In embodiments employing neural networks, different neural network configurations are contemplated in accordance with the invention to achieve different operational optimizations and characteristics. In one embodiment employing a neural network, the generalized classifier module 1212 includes a 24+12+6+1=43 nodes Feedforward, Back Propagation Multilayer neural network. The input layer has 24 nodes for the 12 pairs of mean and variance outputs generated by a convolution module 1230 employing the 12 curvelet detector maps 1250. In the neural network of this embodiment, there are two hidden layers of 12 nodes and 6 nodes respectively. There is also one output node to report the positive or negative existence of a signature.
In another embodiment employing a neural network, the 20 curvelet detector maps 1260 shown in
In some embodiments, the generalized classifier module 1216 is capable of classifying data into an expanded collection of categories. For example in some embodiments, the generalized classifier module 1216 specifies whether the image data contains various data types such as a signature; a dataform; handwritten text; typed text; machine readable text; OCR data; graphics; pictures; images; forms such as shipping manifest, bill of lading, ID cards, and the like; fingerprints, biometrics such as fingerprints, facial images, retinal scans and the like, and/or other types of identifiers. In further additional embodiments, the generalized classifier module 1216 specifies whether the image data includes various combinations of these data types. In some embodiments, the general classifier module 1216 specifies whether the image data contains a specified type of data or not. In one such embodiment, the image processing and analysis module 1208 is contained within an identification module that outputs an affirmative or negative response depending on the presence or absence of the specified data type, such as a signature or a biometric, in the image data.
In one embodiment once the presence of a signature has been confirmed and its general orientation determined, image data is transferred (step 1344) to the signature data processing module 1218. In one embodiment, the signature data processing module 1218 is used to detect the boundaries of the signature in the image data. In one embodiment, the signature boundary is detected using a histogram analysis. As shown in
In one embodiment, once the boundaries of the signature have been determined, the signature data processing module 1218 crops the image data and extracts the signature image data. In one such embodiment, the cropping is performed by an image modification module that generates modified image data in which a portion of the image data not including the signature has been deleted. In other embodiments, various compression techniques are employed to reduce the memory requirements for the signature image data. One such technique includes the encoding of the signature image data by run length encoding. According to this technique, the length of each run of similar binarized values (i.e., the length of each run of 1 or 0) for each scan line is recorded as a means of reconstructing a bit map. Another encoding technique treats the signature image data as a data structure where the elements of the data structure consist of vectors. According this encoding technique, the signature is broken down into a collection of vectors. The position of each vector in combination with the length and orientation of each vector is used to reconstruct the original signature. In one such embodiment, the encoding process generates a new vector whenever the curvature for a continuous pixel run exceeds a specified value. A further compression technique employs B-Spline curve fitting. This technique has the capacity to robustly accommodate curvature and scaling issues.
In various embodiments, the signature image data or a compressed or encoded version of the signature image data is stored locally on a dedicated memory device. In one such embodiment, the local memory device can be a detachable memory device such as a CompactFlash memory card or the like described in more detail below. In another embodiment, the signature image data is stored in a volatile or non-volatile portion of general purpose memory and downloaded at a future time. In a further embodiment, the signature image data can be transmitted via wired or wireless means either at the time of capture or at a later point, such as when a data collection session has been completed.
In another embodiment, the signature data processing module 218 does not perform a histogram analysis but simply stores in memory the entire image or a compressed version once the presence of a signature has been determined. In a further embodiment to save processing time, the initial image analysis is performed on a lower resolution image. Once the presence of a signature is determined in this embodiment, a higher resolution image is taken. In one embodiment, a signature extraction histogram analysis is performed on this image. Next, the image is stored in memory in either compressed or original format. In some embodiments, the image data is combined with other data to form a record for a particular item such as a package or shipping envelope. As mentioned above, some of the additional data that can be collected by the image reader 100 and stored with or separate from the signature data includes but is not limited to dataform data, handwritten text data, typed text data, graphics data, image or picture data, and the like.
As part of its operations, the image processing and analysis module 1208 can be designed to perform specialized tasks for different data types. For example, if the generalized classifier module 1216 determines that the image data contains typed or machine readable text, the image data can be collected, possibly histogram analyzed, and stored or alternatively the image data can be transferred to the OCR decoding module 1222. Similarly, if the generalized classifier module 1216 determines that the image data includes a graphic element, the image data can be transferred to the graphics analysis module 1224 for processing. In one embodiment, the graphics analysis module 1224 is configured to recognize and decode predefined graphics. In one such embodiment, the graphics analysis can include determining which, if any, boxes have been selected in the billing and shipping instructions on a shipping label. In a further embodiment, the graphics analysis can include locating and decoding the typed or handwritten text contained in the zip code box on a shipping label. In an alternative embodiment, the image reader 100 can be configured to automatically attempt decode operations in addition to the dataform decode, such as OCR decoding or graphics decoding, prior to the activation of the feature extraction module 1212.
In another embodiment, the image processing and analysis module 1208 segments the image data into regions and performs a feature extraction and general classification analysis on each region. In one embodiment as shown in
In one embodiment, the segmentation process is used to identify the location of a signature in image data the might include additional elements such as dataforms including bar code dataforms, text, graphics, images and the like. In one such embodiment the generalized classifier module 1216 classifies the contents of each region of the segmented image data. The region containing the signature is then extracted by the signature data processing module 1218. In one embodiment if multiple regions are indicated as containing signature data, the signature data processing module 1218 analyzes the arrangement of these regions to identify the region most likely to contain the image data. In a further embodiment when multiple regions are indicated as containing signature data, the image processing and analysis module establishes a feedback loop where additional segmented regions are generated and analyzed until a single segmented region containing signature data is located.
Additional image processing operations which may be carried out by image reader 100 are described in U.S. patent application Ser. No. 10/958,779, filed Oct. 5, 2004 entitled, “System And Method To Automatically Discriminate Between A Signature And A Bar code” and incorporated herein by reference in its entirety.
Referring to additional components of image reader 100 indicated in
Referring to the physical form views of
As shown in
The sensor array control module 186 includes a global electronic shutter control module 190, a row and column address and decode module 194, and a read out module 198, each of which modules is in electrical communication with one or more of the other modules in the sensor array control module 186. In one embodiment, the sensor array module 182 includes components of an integrated circuit chip 1082 as shown in
A specific embodiment of image reader 100 is described with reference to
Referring to further aspects of image reader 100 of
Referring to
In one embodiment, components of image collection module 108 and illumination module 104 are provided by any one of the IMAGETEAM™ area (2D) imaging engines, such as the 4000 OEM 2D Image Engine available from Hand Held Products, Inc. of 700 Visions Drive, P.O. Box 208, Skaneateles Falls, N.Y., constructed in accordance with the principles of the invention.
Referring to
Referring to
Referring to
In one embodiment, the dynamic range of the CMOS based image sensor array 182a is extended by providing additional intelligence in the processing and control circuitry 254. In particular, the processing circuitry is augmented to include the capacity to dynamically change the conversion factor between the incident radiation input intensity and the output voltage. That is, the processing circuitry employs a transfer curve with multiple slopes. The particular form of the transfer curve with its multiple slopes can take various forms including a series of linear relations joined at knee points, a linear section at low intensity connected to a logarithmic transfer curve at higher intensity, or a completely continuous curve of arbitrary shape with steeper slopes for low intensity and higher slopes at greater intensities.
In the multiple slope embodiment, the dynamic range of the CMOS based image sensor 182a is significantly extended as each individual pixel is capable of independently employing a different section of the transfer curve depending on the intensity of radiation incident upon it. In operation, regions of the CMOS based image sensor 182a that are receiving less incident radiation employ a steeper conversion slope corresponding to greater sensitivity and regions that are receiving more incident radiation employ a shallower conversion slope corresponding to less sensitivity. With a multiple slope transfer function, the CMOS based image sensor 182a can achieve a dynamic range of 65 to 120 dB. The operation of image sensors with transfer curves with multiple slopes are described in more detail in the technical document entitled “Dual Slope Dynamic Range Expansion” from FillFactory NV, Schalienhoevedreef 20B, B-2800 Mechelen, Belgium. This document is available from the Fill Factory (www.fillfactory.com), for example at http://www.fillfactory.com/htm/technology/htm/dual-slope.htm and is hereby herein incorporated in its entirety. The operation of image sensors with transfer curves with logarithmic slopes are described in more detail in the technical document entitled “LinLog Technology” from Photonfocus AG, Bahnhofplatz 10, CH-8853 Lachen, Switzerland. This document is available from the Photonfocus (www.photonfocus.com), for example at http://www.photonfocus.com/html/eng/cmos/linlog.php and is hereby herein incorporated in its entirety.
Overlaying the pixels 250 in
In one embodiment, the pixel architecture can be as described in U.S. Pat. No. 5,986,297 assigned to Eastman Kodak Company and entitled “Color Active Pixel Sensor with Electronic Shuttering, Anti-blooming and Low Cross-talk.” In particular at column 3 lines 35 to 55 and at column 5 lines 25 to 55, the patent describes the cross sections of the relevant regions of the pixel architectures shown in the patent's FIGS. 1A and 2A (herein reproduced as
A process 300 for collecting image data from a target with the image reader 100 is presented with respect to
In one embodiment for collecting an image of a target that minimizes translational image distortion, the target is illuminated by overdriving the illumination sources, such as LEDs, to generate illumination several times brighter than standard operation. Referring to an example of the invention wherein image reader 100 includes imaging module 1802 as shown in
Various embodiments of imaging module 1802 of image reader 100 are described with reference to
Referring again to
In one embodiment as shown in
Referring again to imaging module 1802, an image reader 100 having imaging module 1802 may have an operating mode in which aiming LEDs 160a, 160b are controlled to be off or de-energized during exposure control timing pulse 354, 354′, 354″, or 354′″ so that light from LEDs 160a, 160b does not influence an image that is collected and transferred to decode module 150 or autodiscrimination module 152. In another embodiment, aiming illumination LEDs 160a, 160b, in addition to illumination LEDs 160c through 160t, are controlled to be energized during exposure control timing pulse 354, 354′, 354″, or 354′″. Controlling aiming illumination LEDs 160c through 160t to be energized during exposure control timing pulse 354, 354′, 354″, or 354′″ increases a signal strength of image data corresponding regions of substrate, s, onto which aiming pattern 1838 is projected.
With reference to process 300 (
In one embodiment the CMOS image array 182a can be implemented with a KAC-0331 640×480 VGA CMOS image sensor available from the Eastman Kodak Company. The KAC-0311 is more fully described in a technical description entitled, “KAC-0311 640×480 VGA CMOS IMAGE SENSOR Fully Integrated Timing, Analog Signal Processing & 10 bit ADC.” Revision 1 dated Aug. 5, 2002 and available at http://www.kodak.com/global/plugins/acrobat/en/digital/ccd/products/cmos/KAC-0311LongSpec.pdf, hereby incorporated by reference in its entirety. The following is an edited summary of the operation of the KAC-0311 taken from the aforementioned “Full Specification.” As summarized in this technical description, the KAC-0311 is a solid state active CMOS imager that integrates analog image acquisition, digitization, and digital signal processing on a single chip. The image sensor comprises a VGA format pixel array with 640×480 active elements. The image size is programmable by a user to define a window of interest. In particular, by programming the row and column start and stop operations, a user can define a window of interest down to a resolution of 1×1 pixel. In one embodiment of the KAC-0311 image sensor, the window can be used to enable a digital zoom operation of a viewport that can be panned. In another embodiment of the KAC-0311 image sensor, a constant field of view is maintained while subsampling is used to reduce the resolution the collected image.
The pixels of the KAC-0311 image sensor are on a 7.8 μm pitch. The pixel architecture is Kodak's pinned photodiode architecture. The KAC-0311 image sensor is available in a Monochrome version without microlenses, or with Bayer (CMY) patterned Color Filter Arrays without microlenses. In one embodiment of the KAC-0311 image sensor, integrated timing and programming controls are used to enable progressive scan modes in either video or still image capture operation. In a further embodiment of KAC-0311 image sensor, a user can program the frame rates while maintaining a constant master clock rate.
In the KAC-0311 image sensor, the analog video output of the pixel array is processed by an on-chip analog signal pipeline. In one embodiment of the KAC-0311 image sensor, correlated double sampling is used to eliminate pixel reset temporal and fixed pattern noise. In a further embodiment of the KAC-0311 image sensor, a frame rate clamp is used to enable contemporaneous optical black level calibration and offset correction. In yet another embodiment, the programmable analog gain of the KAC-0311 image sensor includes a global exposure gain to map the signal swing to the analog-to-digital converter input range. The programmable analog gain further includes white balance gain to perform color balance in the analog domain. In an additional embodiment, the analog signal processing chain of the KAC-0311 image sensor consists of column op-amp processing, column digital offset voltage adjustment, white balancing, programmable gain amplification, global programmable gain amplification, and global digital offset voltage adjustment. In one embodiment, the digitally programmable amplifiers are used to provide contemporaneous color gain correction for auto white balance as well as exposure gain adjustment. The offset calibration in various embodiments is done on a per column basis and globally. In addition, the per column offset correction can be applied by using stored values in the on-chip registers, and a ten-bit redundant signed digit analog-to-digital converter converts the analog data to a ten-bit digital word stream. In various embodiments of the KAC-0311 image sensor, the differential analog signal processing pipeline is used to improve noise immunity, the signal to noise ratio, and the system's dynamic range. In one embodiment, the serial interface of the KAC-0311 is an industry standard two line I2C compatible serial interface. In another embodiment, power for the KAC-0311 image sensor is provided by a single 3.3V power supply. In various embodiments, the KAC-0311 image sensor has a single master clock and operates at speeds up to 20 MHz.
The operational and physical details of image sensors that can be used in the present invention and that are assigned to Eastman Kodak Company are also described in the U.S. Pat. No. 6,714,239 entitled “Active Pixel Sensor with Programmable Color Balance” and U.S. Pat. No. 6,552,323 entitled “Image Sensor with Shared Output Signal Line,” each of which is hereby herein incorporated by reference in its entirety. The following provides a brief summary of material from U.S. Pat. No. 6,522,323. In particular U.S. Pat. No. 6,552,323 discloses an image sensor comprising a plurality of pixels arranged in a plurality of rows and columns. The image sensor is further disclosed to include a global electronic shutter. Pixels in the same row of the disclosed image sensor share a pixel output node and an output signal line. Further, the disclosure indicates that image signal separation within a row is achieved by having two separate row select signal lines per row, one for every other pixel within a row, and a 1:2 column output signal line de-multiplexing scheme for each pair of columns. A schematic diagram, here reproduced as
In another embodiment, the CMOS image array 182a can be implemented with a KAC-9630 128(H)x98(V) CMOS image sensor. The KAC-9630 is more fully described in a technical specification entitled, “Device Performance Specification—Kodak KAC-9630 CMOS Image Sensor,” September 2004, revision 1.1. This document is hereby herein incorporated by reference in its entirety. This document is available from Eastman Kodak (www.kodak.com), for example at http://www.kodak.com/global/plugins/acrobat/en/digital/ccd/products/cmos/KAC-9630LongSpec.pdf. This technical specification describes the KAC-9630 image sensor as a low power CMOS active pixel image sensor capable of capturing monochrome images at 580 frames per second. In addition the KAC-9630 image sensor is described as including an on-chip eight-bit analog-to-digital converter, fixed pattern noise elimination circuits and a video gain amplifier. The KAC-9630 is further described as having integrated programmable timing and control circuitry that allows for the adjustment of integration time and frame rate. The read out circuit in the KAC-9630 image sensor is described as capable of supporting a full frame read out on a single eight-bit digital data bus in less than 2 milliseconds. As indicated above, the KAC-9630 image sensor is described as including an integrated electronic shutter.
In another embodiment, the CMOS image array 182a can be implemented with a Micron image sensor such as the Wide VGA MT9V022 image sensor from Micron Technology, Inc., 8000 South Federal Way, Post Office Box 6, Boise, Id. 83707-0006. The MT9V022 image sensor is describe in more detail in the product MT9V099 product flyer available from Micron Technology (www.micron.com), for example at http://download.micron.com/pdf/flyers/mt9v022_(mi-0350)_flyer.pdf. This document is hereby herein incorporated by reference in its entirety.
In some embodiments, the image reader 100 is capable of operating in either a rolling shutter mode or a global electronic shutter mode. In one such embodiment, the rolling shutter mode is used as part of an automatic focusing operation and the global electronic shutter mode is used to collect image data once the proper focus has been determined. The process of determining the proper focus and collecting a subsequent image is described by the process 400 shown in
With further reference to lens driver module 165, various lens driving technologies and methods can be implemented. U.S. Pat. No. 4,350,418, incorporated by reference herein in its entirety, discloses a lens focus adjustment system including a distance adjusting ring, wherein position adjustment of a lens is achieved by rotation of the adjustment ring. U.S. Pat. No. 4,793,689, also incorporated herein by reference in its entirety, discloses a lens barrel having a hollow rotary ring rotatable about an optical axis that is disposed within a hollow of a hollow fixed cylinder with a bearing interposed there between, a moving cylinder moveable in response to rotation of the rotary ring, and a vibration wave motor disposed between the diametrical directions of the fixed cylinder and the rotary ring. U.S. Pat. No. 5,541,777, also incorporated herein by reference in its entirety, discloses an electromagnetic lens driver having a fixed member including an inside yoke and an outside yoke, an operationally disposed magnet, a moveable member for holding a body to be driven, a coil wound in an axial direction between the outside yoke and the inside yoke and position detector which detects the magnetic field of the operationally disposed magnet to generate a position indicating signal.
The process 400 also includes reading out (step 420) image data from the plurality of exposed rows. This image data is analyzed (step 424) by an automatic focusing algorithm, such as the contrast detection method or the phase detection method. Using the row focus image information, the image reader 100 establishes (step 428) a proper focus setting of lens 212 e.g., by determining a proper focus setting based on collected data and then moving the lens 212 to that setting or by assessing the present row image data to determine whether at the present focus setting, the image reader is acceptably focused. In various embodiments, the analysis of the image data can be performed by the image collection module 108, the optics module, the control module 112, or a dedicated auto-focusing module (e.g., an ASIC or FPGA dedicated for purposes of performing focus calculations). With the position of lens 212 properly established, the image reader 100 enters (step 432) a global electronic shutter operational mode. It will be seen that in certain instances according to process 400, image reader 100 may cease operation in a rolling shutter and commence operation in a global electronic shutter operational mode prior to reading out image data from each pixel of image sensor array module 182. In the global electronic shutter operational mode, the image reader 100 collects (step 436) a full frame of image data that is stored in memory module 116 and subsequently transferred to decode module 150 or autodiscriminating module 152 by control module 112. According to this embodiment in which row image information is read out and analyzed during a time that the reader imaging lens 112 is controlled to be in motion, automatically focusing the image reader to image the target may be achieved within one frame of data. In various embodiments, the automatic focusing operations can be handled by a dedicated automatic focusing module or the focusing module can be incorporated into other modules such as the image collection module 108 and/or the control module 112.
With further reference to the steps of process 400, the step 424 of analyzing row image data to determine focus characteristics is further described with reference to the flow diagram of
At step 2104 image reader 100 assesses the collected histogram data. At step 2104 image reader 100 may either determine an appropriate in-focus setting for lens 212 or else determine whether the histogram data extracted from the present row of image data indicates that the image reader is acceptably focused at the present lens setting or position. Where image reader 100 at step 2104 determines a proper setting for lens 212 based on the collected histogram data, the histogram data may be from the present row or based on a combination of present row data and preceding row data. In a further aspect, position or setting values of lens 212 are recorded so that the histogram information of each row of image data that is read out has associated lens position data indicating a position of lens 212 at the time at which the row information was collected. At step 2104, a transfer function for determining an in-focus lens setting may utilize row contrast information as summarized in histogram plots, as well as lens position data indicating a position of lens 212 associated with each set of row data.
Referring to further steps of process 400, image reader 100 at step 414 may control lens 212 to be in either continuous motion or in stepwise continuous motion. When controlled to be in continuous motion, lens 212 moves continuously throughout a time that sequentive rows of pixels of image sensor array module 182 are exposed and read out. When controlled to be in stepwise continuous motion, lens 212 repeatedly moves and stops throughout the time that rows of pixels of sensor module 182 are exposed and read out. In one embodiment of an image reader controlling lens 212 to be in stepwise continuous motion, image reader 100 continuously moves lens between two extreme points, a first, further field position and second, a nearer field position. In another embodiment of an image reader 100, controlling lens 212 to be in stepwise continuous motion, image reader 100 continuously moves lens 212 between two extreme positions and intermittently stops lens 212 at one or more positions between the extreme positions. A lens 212 controlled to be in stepwise continuous motion can be considered to have motion periods, i.e., the times during which the lens moves, and stop periods, i.e., the times during which the lens is temporarily idle. In one embodiment of the invention, the motion of the lens 212 and a reading out of image data from rows of pixels are coordinated. For example, the lens movement and control of image sensor array module 182 can be coordinated such that an exposure period for one or more rows of image sensor array module 182 occurs during a stop period of lens 212 so that lens 212 is idle during an entire row exposure period. Further, while processing of image data corresponding to pixels exposed during motion phases of lens 212 is useful in certain embodiments, image reader 100 can be configured so that image data corresponding to pixels exposed during motion periods of lens 212 are discarded, e.g., during row analysis step 424.
Specific embodiments of the process 400 generically described with reference to
In the embodiment of process 400 described with reference to
It will be understood with reference to process 400 or process 800 that image reader 100 in establishing an “in focus” position may designate a prospective or present position of lens 212 to be “in focus” on the basis of the prospective or present lens position rendering indicia in better focus that other available lens focus positions. Thus, where a lens focus position is not highly focused in a general sense, reader 100 may, nevertheless, designate the position as being “in focus” if it renders indicia more in focus than other available lens position. In one specific embodiment, lens 100 may be “toggled” between a limited number of discrete positions (e.g., two positions) when it is controlled to be in stepwise continuous motion. In such an embodiment, image reader 100 may designate one of the limited number of possible discrete positions to be the “in focus” positions if the lens position renders indicia more in focus than the remaining possible positions. Particularly in the configuration where lens 212 is “toggled” between a limited number of discrete positions, the focus determining steps may be omitted and the image data transferred directly to the decode module 150 or autodiscrimination module 152. Particularly when there are a limited number of alternate focus positions, the in-focus position can readily be discriminated based on which position the results in a successful decode. Discriminating an in-focus position by way of decode attempts may reduce average decode time.
In a variation of the invention, image reader 100 at step 420 reads out a predetermined number of rows of image data and analyzes the predetermined number of rows at step 424. The predetermined number of rows may be e.g., 2 rows, 3 rows, 10 rows or all of the rows (100+) rows of image sensor array 182. Image reader 100 at step 424 may select the best focused (e.g., highest contrast) row out of the plurality of rows and determine that the recorded focus setting associated with the best focused row is the “in-focus” setting of image reader 100. Alternatively, image reader 100 may calculate—in-focus setting data utilizing data image collected over several rows. When a focus setting has been determined, in any one of the above variations, image reader 100 may first enter global electronic shutter operational mode at step 432, and then move lens 212 into the determined focus position setting or else image reader 100 may alternatively move lens 212 to the determined lens setting prior to entering the global electronic shutter operational mode at step 432 or these two operations may occur at the same time.
In another embodiment of the automatic focusing operation, as described later in connection with
In alternative embodiments, the specific order of the steps in the process 400 or process 800 can be altered without departing from the inventive concepts contained therein. In various other embodiments, the circuitry implementing the rolling shutter operation and the circuitry implementing the global electronic shutter operation can be implemented on the same CMOS chip or one or both of the circuitry components can be implemented on separate dedicated chips. In an additional embodiment, the rolling shutter functionality and the global electronic shutter operation can be combined in a single module that includes hardware, software, and/or firmware.
In another embodiment of the image reader 100 that operates in either a rolling shutter or a global electronic shutter mode, the image reader 100 is able to dynamically shift between the global electronic shutter operational mode and the rolling shutter operational mode. In one such embodiment, the image reader 100 shifts from the default global electronic shutter operational mode to the rolling shutter operational mode when the integration time is shorter than a given threshold. Many commercially available imagers are implemented with light shields that allow some amount of light leakage into the storage element or with electronic switches that do not completely isolate the storage element from the photosensitive element. As a result of this, the contents of the storage element can be adversely influenced by the ambient illumination incident upon the imager after the charge has been transferred to the storage element. The following provides a numeric example of such operation.
In general, the shutter efficiency of a CMOS image sensor with global electronic shutter capabilities specifies the extent to which the storage area on the image sensor is able to shield stored image data. For example, if a shutter has an efficiency of 99.9%, then it takes an integration time (also known as exposure time) that is 1,000 times longer to generate the same amount of charge in the shielded portion as in the unshielded portion of the image sensor. Therefore, in an image capture cycle, the following equation provides an indication of the light irradiance on the imager from the ambient light that can be tolerated during the time period after the image is shifted into the storage region relative to the light irradiance on the imager from the object illuminated with the ambient illumination and the light sources 160 during the time period before the image is shifted into the storage region while not exceeding a desired degradation percentage. The equation can also address the case where the light incident upon the imager is the same during the entire imaging cycle. In both instances, one needs to know the minimum integration that can be used without the introduction of a maximum degradation.
(Amb. Irrad)*Tframe*(100%−% eff)=(Amb. Irrad+Light Source Irrad)*Texposure*(% deg)
In many instances the light on the imager is unchanged during the exposure period and during the remainder of the frame. In this situation the light irradiance on the imager is constant, and it is possible to solve for the minimum integration time that can be used without the light leakage excessively perturbing the desired image. Solving the equation in this case, allows the calculation of the minimum integration period for a specific degradation. The following constant irradiance numeric example is for a shutter efficiency of 99.9%, a frame rate of 20 ms, and a maximum tolerated degradation of 5%.
20 ms*(100%−99.9%)=(Texposure*5%)
or solving for the minimum exposure time that can be used without incurring a degration of more than 5%:
Texposure=0.4 ms.
Thus if the integration time during image capture is shorter than 0.4 ms, then the degradation leakage (both optical or electrical) will cause an error to be introduced of 5% or greater.
In one embodiment that addresses image degradation introduced by excessive ambient light, the image reader 100 shifts to rolling shutter operation when the integration time becomes shorter than a level determined with respect to the frame rate, maximum allowable degradation and shutter efficiency of the image reader. A process 600 for shifting operational modes in response to short integration times is shown in
Further embodiments of the invention are described with reference to
Referring to the flow diagram of
Another embodiment of the invention is described with reference to the flow diagram of
Another process according to the invention is described with reference to the flow diagram of
With further reference to process 800, actuation module 124 at step 802 initiates process 800 by generating a trigger signal, e.g., in response to a depression of a trigger 216, a sensing of an object in a field of view of image reader or receipt of a command from a spaced apart device. At step 814 image reader 100 sets lens 212 into motion. At step 814 image reader 100 may control lens 212 to be in one of continuous motion or stepwise continuous motion.
At step 820 image reader 100 reads out a “windowed frame” of image data from image sensor array module 182. CMOS image sensors can be operated in a windowed frame operating mode. In a windowed frame operating mode, image data corresponding to only a selectively addressed subset of all pixels of an image sensor array is read out. Examples of image reader 100 operating in windowed frame operating modes are described with reference to
A windowed frame operating mode described herein is contrasted with an alternative operating mode in which a full frame of image data is stored into memory module 116, and then a portion of that full frame of image data is designated as a region of interest (i.e., a “sample” region) which is subject to further processing. In a windowed frame operating mode a frame of image data may collected in a fraction of the time required to collect a full frame of image data.
With further reference to process 800 image reader 100 at step 824 analyzes a windowed frame of image data to determine focus characteristics of image reader 100. The step of analyzing windowed frame image data to determine focus characteristics is further described with reference to the flow diagram of
At step 4104, image reader 100 assesses the collected histogram data. At block 4104 image reader 100 may either determine an appropriate in-focus setting for lens 212 or else determine whether the histogram data extracted from the present row of image data indicates that the image reader 100 is acceptably focused at the present lens position. Where image reader 100 at step 4104 determines a proper setting for lens 212 based on the collected histogram data, the histogram data may be from the present windowed frame of image data or based on a combination of present windowed frame of image data and preceding data of previously collected one or more frames of windowed image data. In a further aspect, position or setting values of lens 212 are recorded so that the histogram information of each row of image data that is read out and analyzed has associated lens position data indicating a position of lens 212 at the time at which the windowed frame of image data information was collected. At step 4104 a transfer function for determining an in-focus lens setting may utilize windowed frame contrast information as summarized in histogram plots, as well as lens position data indicating a position of lens 212 associated with each collected windowed frame of image data.
Referring to further steps of process 800, image reader 100 at step 814 may control lens 212 to be in either continuous motion or in stepwise continuous motion. When controlled to be in continuous motion, lens 212 moves continuously throughout a time that pixels corresponding to a windowed frame of image data are exposed and read out. When controlled to be in stepwise continuous motion, lens 212 repeatedly moves and stops throughout the time that pixels corresponding to a windowed frame of image data are exposed and read out. In one embodiment of an image reader 100 controlling lens 212 to be in stepwise continuous motion, image reader 100 continuously moves lens between two extreme points, a first further-field position and second, a nearer-field position. In another embodiment of an image reader 100 controlling lens 212 to be in stepwise continuous motion, image reader 100 continuously moves lens 212 between two extreme positions and intermittently stops lens 212 at one or more positions between the extreme positions. A lens 212 controlled to be stepwise continuous motion can be considered to have motion periods, i.e., the times during which the lens moves, and stop periods corresponding the time the lens is temporarily idle. In one embodiment of the invention, the motion of the lens 212 and a reading out of image data from rows of pixels are coordinated. For example, the stepwise movement of lens 212 and control of image sensor array module 182 can be coordinated such that a stop period of a lens in stepwise continuous motion occurs during an exposure period for exposing pixels corresponding to a windowed frame of image data and motion periods occur before and after such an exposure period. Further, while processing of image data corresponding to pixels exposed during motion periods of lens 212 is useful in certain embodiments, image reader 100 can be configured so that image data corresponding to pixels exposed during motion periods of lens 212 are discarded, e.g., during analysis step 824.
Specific embodiments of the process 800 generically described with reference to
In the embodiment of process 800 described with reference to
In a variation of the invention, image reader 100 at step 820 may read out a predetermined number of windowed frames of image data, and at step 824 may analyze a predetermined number of windowed frames of image data. The windowed frames of image data may have the same pattern (e.g., always the pattern of
It will be understood with reference to process 400 and process 800 that image reader 828 in establishing an “in focus” position may designate a prospective or present position of lens 212 to be “in focus” on the basis of the prospective or present lens position rendering target indicia in better focus than other available lens focus positions. Thus, where a lens focus position is not highly focused in a general sense reader 100 may, nevertheless, designate the position as being “in focus” if it renders target indicia more in focus than other available lens position. In one specific embodiment, lens 212 may be “toggled” between a limited number of discrete positions (e.g., two positions) when it is controlled to be in stepwise continuous motion. In such an embodiment, image reader 100 may designate one of the limited number of possible discrete positions to be the “in-focus” position if the lens position renders target indicia more in focus than the remaining possible positions. Particularly in the configuration where lens 212 is “toggled” between a limited number of discrete positions, the focus determining steps may be omitted and the image data transferred directly to the decode module 150 or autodiscrimination module 152. Particularly when there are a limited number of alternate focus positions, the in-focus position can readily be discriminated based on which position the results in a successful decode. Discriminating an in-focus position by way of decode attempts may reduce average decode time.
It is recognized that some available image sensor arrays have configurations or operation modes in which a limited number of edge columns/and or rows are not read out because of packaging concerns (e.g., edge pixels are covered by packaging material of the chip) or because of a configuration to a particular aspect ratio. Where image data from an image sensor is read out from all of the pixels of the image sensor or substantially all the pixels excluding a limited number of row and/or column edge pixels, such image data collecting is regarded herein as a collecting of a full frame of image data.
With reference to process 400 and process 800, it has been described that lens 212 can be controlled to be in one of continuous motion or stepwise continuous motion. It will be seen that when lens 212 is controlled to be in continuous motion, a focus setting of image reader 100 is controlled to vary over time. When lens 212 is controlled to be in stepwise continuous motion, a focus setting of lens 212 and, therefore, of image reader 100 is controlled to vary stepwise over time. Further, when lens 212 in accordance with process 400 or process 800 is in a motion period while being controlled to be in stepwise continuous motion, a focus setting of lens 212 is in a varying state. During a stop period of lens 212 while lens 212 is being controlled to be in stepwise continuous motion, a focus setting of image reader 100 is in a temporarily idle state.
Referring again to
The I/O module 120 is used to establish potentially bi-directional communications between the image reader 100 and other electronic devices. Examples of elements that can comprise a portion of the I/O module 120 include a wireless or wired Ethernet interface, a dial-up or cable modem interface, a USB interface, a PCMCIA interface, a RS232 interface, an IBM Tailgate Interface RS485 interface, a PS/2 keyboard/mouse port, a specialized audio and/or video interface, a CompactFlash interface, a PC Card Standard interface, a Secure Digital standard for memory, a Secure Digital Input Output for input/output devices and/or any other standard or proprietary device interface. A CompactFlash interface is an interface designed in accordance with the CompactFlash standard as described in the CompactFlash Specification version 2.0 maintained at the website http://www.compactflash.org. The CompactFlash Specification version 2.0 document is herein incorporated by reference in its entirety. A PC Card Standard interface is an interface designed in accordance with the PC Card Standard as described by, for example, the PC Card Standard 8.0 Release—April 2001 maintained by the Personal Computer Memory Card International Association (PCMCIA) and available through the website at http://www.pcmcia.org. The PC Card Standard 8.0 Release—April 2001 Specification version 2.0 document is hereby herein incorporated by reference in its entirety.
The actuation module 124 is used to initiate the operation of various aspects of the image reader 100 such as data collection and processing in accordance with process 300, process 400, process 600 or process 800 as described herein. All of the steps of process 300, process 400, process 600 and process 800 may be automatically executed in response to an initiation of the respective process by actuation module 124. Image reader 100 may be configured so that the steps of process 300, process 400, process 600, and process 800 continue automatically when initiated until a stop condition is satisfied. A stop condition may be e.g., the generation of a trigger stop signal (as may be generated by the release of trigger 216) or the successful decoding a predetermined number of bar code symbols. In the hand held image reader 100a discussed above, the actuation module comprises the trigger 216 which, when depressed, generates a trigger signal received by control module 112 which, in turn, sends control signals to appropriate other modules of image reader 100. In one embodiment of a fixed mounted embodiment of the image reader 100, the actuation module 124 comprises an object sensing module that generates a trigger signal to initiate the operation of the image reader 100 when the presence of an object to be imaged is detected. When a trigger signal is generated, image reader 100 is driven from an idle state to an active reading state. Actuation module 124 may also generate a trigger signal in response to receipt of a command from a local or remote spaced apart device.
The user feedback module 128 is used to provide sensory feedback to an operator. In various embodiments, the feedback can include an auditory signal such as a beep alert, a visual display such as an LED flashing indicator, a mechanical sensation such as vibration in the image reader 100, or any other sensory feedback capable of indicating to an operator the status of operation of the image reader 100 such as a successful image capture.
The display module 132 is used to provide visual information to an operator such as the operational status of the image reader 100 including, for example, a remaining battery and/or memory capacity, a mode of operation, and/or other operational or functional details. In various embodiments, the display module 132 can be provided by a LCD flat panel display with an optional touch-pad screen overlay for receiving operator tactile input coordinated with the display.
The user interface module 134 is used to provide an interface mechanism for communication between an operator and the image reader 100. In various embodiments, the user interface module 134 comprises a keypad, function specific or programmable buttons, a joystick or toggle switch and the like. If the display module 132 includes a touch-pad screen overlay as mentioned above, the display module can incorporate some of the input functionality alternatively provided by elements in the user interface module 134.
In some embodiments, the RFID module 136 is an ISO/IEC 14443 compliant RFID interrogator and reader that can interrogate a RFID contactless device and that can recover the response that a RFID tag emits. The International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) are bodies that define the specialized system for worldwide standardization. In other embodiments, the RFID module 136 operates in accordance with ISO/IEC 10536 or ISO/IEC 15963. Contactless Card Standards promulgated by ISO/IEC cover a variety of types as embodied in ISO/IEC 10536 (Close coupled cards), ISO/IEC 14443 (Proximity cards), and ISO/IEC 15693 (Vicinity cards). These are intended for operation when very near, nearby and at a longer distance from associated coupling devices, respectively. In some embodiments, the RFID module 136 is configured to read tags that comprise information recorded in accordance with the Electronic Product Code (EPC), a code format proposed by the Auto-ID Center at MIT. In some embodiments, the RFID module 136 operates according to a proprietary protocol. In some embodiments, the RFID module 136 communicates at least a portion of the information received from an interrogated RFID tag to a computer processor that uses the information to access or retrieve data stored on a server accessible via the Internet. In some embodiments, the information is a serial number of the RFID tag or of the object associated with the RFID tag.
In some embodiments, the smart card module 140 is an ISO/IEC 7816 compliant smart card reader with electrical contact for establishing communication with a suitably designed contact chip based smart card. The smart card module 140 is able to read and in some cases write data to attached smart cards.
In some embodiments, the magnetic stripe card module 144 is a magnetic stripe reader capable of reading objects such as cards carrying information encoded in magnetic format on one or more tracks, for example, the tracks used on credit cards. In other embodiments, the magnetic stripe card module 144 is a magnetic character reading device, for reading characters printed using magnetic ink, such as is found on bank checks to indicate an American Bankers Association routing number, an account number, a check sequence number, and a draft amount. In some embodiments, both types of magnetic reading devices are provided.
In some embodiments of the image reader 100, the functionality of the RFID module 136, the smart card module 140, and the magnetic stripe card module 144 are combined in a single tribrid reader module such as the Panasonic's Integrated Smart Card Reader model number ZU-9A36CF4 available from the Matsushita Electrical Industrial Company, Ltd. The ZU-9A36CF4 is described in more detail in the Panasonic Specification number MIS-DG60C194 entitled, “Manual Insertion Type Integrated Smart Reader” dated March 2004 (revision 1.00). This document is hereby herein incorporated by reference in its entirety.
The decoder module 150 is used to decode target data such as one and two-dimensional bar codes such as UPC/EAN, Code 11, Code 39, Code 128, Codabar, Interleaved 2 of 5, MSI, PDF417, MicroPDF417, Code 16K, Code 49, MaxiCode, Aztec, Aztec Mesa, Data Matrix, Qcode, QR Code, UCC Composite, Snowflake, Vericode, Dataglyphs, RSS, BC 412, Code 93, Codablock, Postnet (US), BPO4 State, Canadian 4 State, Japanese Post, KIX (Dutch Post), Planet Code, OCR A, OCR B, and the like. In some embodiments, the decoder module also includes autodiscrimination functionality that allows it to automatically discriminate between a plurality of bar code such as those listed above. Certain functionality of the decoder 150, such as the measurement of characteristics of decodable indicia, is described in the related U.S. application Ser. No. 10/982,393, filed Nov. 5, 2004, entitled “Device and System for Verifying Quality of Bar Codes.” This application is hereby herein incorporated by reference in its entirety.
Another example of an image reader 100 constructed in accordance with the principles of the invention is the portable data terminal 100b shown in different perspective drawings in
The portable data terminal 100b further includes an electro-mechanical interface 532 such as a dial-up or cable modem interface, a USB interface, a PCMCIA interface, an Ethernet interface, a RS232 interface, an IBM Tailgate Interface RS485 interface, a CompactFlash interface, a PC Card Standard interface, a Secure Digital standard for memory interface, a Secure Digital Input Output for input/output devices interface and/or any other appropriate standard or proprietary device interface. In various embodiments, the electro-mechanical interface 532 can be used as part of attaching computer peripherals.
An electrical block diagram of one embodiment of the portable data terminal 100b is shown in
As indicated above, the portable data terminal 100b may include a display 504, such as a liquid crystal display, a keyboard 508, a plurality of communication or radio transceivers such as a 802.11 radio communication link 556, a Global System for Mobile Communications/General Packet Radio Service (GSM/GPRS) radio communication link 560, and/or a Bluetooth radio communication link 564. In additional embodiments, the portable data terminal 100b may also have the capacity to transmit information such as voice or data communications via Code Division Multiple Access (CDMA), Cellular Digital Packet Data (CDPD), Mobitex cellular phone and data networks and network components. In other embodiments, the portable data terminal 100b can transmit information using a DataTAC™ network or a wireless dial-up connection.
The portable data terminal 100b may further include an infrared (IR) communication link 568. The keyboard 508 may communicate with IC chip 548 via microcontroller chip 572. The portable data terminal 110b may further include RFID circuitry 578 as described above for reading or writing data to a RFID tag or token and smart card circuitry 586 including electrical contacts 590 for establishing electrical communication with a smart card such as a circuitry enabled credit card. The portable data terminal 100b further includes a memory 574 including a volatile memory and a non-volatile memory. The volatile memory in one embodiment is provided in part by the RAM 576. The non-volatile memory may be provided in part by flash ROM 580. Processor IC chip 548 is in communication with the RAM 576 and ROM 580 via a system bus 584. Processor IC chip 548 and microcontroller chip 572 also include areas of volatile and non-volatile memory. In various embodiments where at least some of the modules discussed above, such as the elements in the control module 112, are implemented at least in part in software, the software components can be stored in the non-volatile memories such as the ROM 580. In one embodiment, the processor IC chip 548 includes a control circuit that itself employs the CPU 552 and memory 574. Non-volatile areas of the memory 574 can be used, for example, to store program operating instructions.
In various embodiments, the processor IC chip 548 may include a number of I/O interfaces (not all shown in
In one embodiment, the processor IC chip 548 processes frames of image data to, for example, decode a one or two-dimensional bar code or a set of OCR characters. Various bar code and/or OCR decoding algorithms are commercially available, such as by the incorporation of an IT4250 image engine with decoder board, available from Hand Held Products, Inc. In one embodiment, the decoder board decodes symbologies such as UPC/EAN, Code 11, Code 39, Code 128, Codabar, Interleaved 2 of 5, MSI, PDF417, MicroPDF417, Code 16K, Code 49, MaxiCode, Aztec, Aztec Mesa, Data Matrix, Qcode, QR Code, UCC Composite, Snowflake, Vericode, Dataglyphs, RSS, BC 412, Code 93, Codablock, Postnet (US), BPO4 State, Canadian 4 State, Japanese Post, KIX (Dutch Post), Planet Code, OCR A, OCR B, and the like.
Among other operations, the infrared transceiver 568 facilitates infrared copying of data from a portable data terminal 100b in a broadcasting mode to a portable data terminal 100b in a receiving mode. Utilization of infrared transceiver 568 during a data copying session allows data broadcast from a single broadcast device to be simultaneously received by several receiving devices without any of the receiving devices being physically connected to the broadcasting device.
In an additional further embodiment, the image reader 100 can be contained in a transaction terminal such as the Transaction Terminal Image Kiosk 8870 available from Hand Held Products, Inc., of 700 Visions Drive, P.O. Box 208, Skaneateles Falls, NY and constructed in accordance with the invention. In a further embodiment, the image reader 100 can be contained in a fixed mount system such as the IMAGETEAM 3800E linear image engine or the IMAGETEAM 4710 two-dimensional reader available from Hand Held Products, Inc. of 700 Visions Drive, P.O. Box 208, Skaneateles Falls, N.Y.
In various embodiments, the modules discussed above including the illumination module 104, the image collection module 108, the control module 112, the memory module 116, the I/O module 120, the actuation module 124, the user feedback module 128, the display module 132, the user interface module 134, the RFID module 136, the smart card module 140, the magnetic stripe card module 144, the decoder module 150, the illumination control module 164, the power module 168, the interface module 172, the optics module 178, the sensor array module 182, the sensor array control module 186, the global electronic shutter control module 190, the row and column address and decode module 194, and the read out module 198, the rolling shutter control module 202, and the auto-focusing module can be implemented in different combinations of software, firmware, and/or hardware.
Machine readable storage media that can be used in the invention include electronic, magnetic and/or optical storage media, such as magnetic floppy disks and hard disks, a DVD drive, a CD drive that in some embodiments can employ DVD disks, any of CD-ROM disks (i.e., read-only optical storage disks), CD-R disks (i.e., write-once, read-many optical storage disks), and CD-RW disks (i.e., rewriteable optical storage disks); and electronic storage media, such as RAM, ROM, EPROM, Compact Flash cards, PCMCIA cards, or alternatively SD or SDIO memory; and the electronic components (e.g., floppy disk drive, DVD drive, CD/CD-R/CD-RW drive, or Compact Flash/PCMCIA/SD adapter) that accommodate and read from and/or write to the storage media. As is known to those of skill in the machine-readable storage media arts, new media and formats for data storage are continually being devised, and any convenient, commercially available storage medium and corresponding read/write device that may become available in the future is likely to be appropriate for use, especially if it provides any of a greater storage capacity, a higher access speed, a smaller size, and a lower cost per bit of stored information. Well known older machine-readable media are also available for use under certain conditions, such as punched paper tape or cards, magnetic recording on tape or wire, optical or magnetic reading of printed characters (e.g., OCR and magnetically encoded symbols) and machine-readable symbols such as one and two-dimensional bar codes.
Those of ordinary skill will recognize that many functions of electrical and electronic apparatus can be implemented in hardware (for example, hard-wired logic), in software (for example, logic encoded in a program operating on a general purpose processor), and in firmware (for example, logic encoded in a non-volatile memory that is invoked for operation on a processor as required). The present invention contemplates the substitution of one implementation of hardware, firmware and software for another implementation of the equivalent functionality using a different one of hardware, firmware and software. To the extent that an implementation can be represented mathematically by a transfer function, that is, a specified response is generated at an output terminal for a specific excitation applied to an input terminal of a “black box” exhibiting the transfer function, any implementation of the transfer function, including any combination of hardware, firmware and software implementations of portions or segments of the transfer function, is contemplated herein.
While the present invention has been explained with reference to the structure disclosed herein, it is not confined to the details set forth and this invention is intended to cover any modifications and changes as may come within the scope and spirit of the following claims.
This application is a continuation of U.S. application Ser. No. 17/198,587, filed Mar. 11, 2021, which is a continuation of U.S. application Ser. No. 17/167,452, filed Feb. 4, 2021 and entitled “Image Reader Comprising CMOS Based Image Sensor Array”, which is incorporated by reference herein in its entirety, which application is a continuation of U.S. patent application Ser. No. 16/204,077, filed Nov. 29, 2018, (published as U.S. Publication No. 2019/0174086) and entitled “Image Reader Comprising CMOS Based Image Sensor Array”, which is incorporated by reference herein in its entirety, which application is a continuation of U.S. patent application Ser. No. 15/401,779, filed Jan. 9, 2017, (now U.S. Pat. No. 10,171,767) entitled “Image Reader Comprising CMOS Based Image Sensor Array,” which is incorporated by reference herein in its entirety, which application is a continuation of U.S. patent application Ser. No. 15/016,927, filed Feb. 5, 2016, (now U.S. Pat. No. 9,578,269) entitled “Image Reader Comprising CMOS Based Image Sensor Array”, which is incorporated herein by reference in its entirety, which application is a continuation of U.S. patent application Ser. No. 14/221,903, filed Mar. 21, 2014, (now U.S. Pat. No. 9,465,970) entitled “Image Reader Comprising CMOS Based Image Sensor Array,” which is incorporated herein by reference in its entirety, which application is a continuation of U.S. patent application Ser. No. 13/052,768, filed Mar. 21, 2011, (now U.S. Pat. No. 8,733,660) entitled “Image Reader Comprising CMOS Based Image Sensor Array,” which is incorporated herein by reference in its entirety, which application is a divisional of U.S. patent application Ser. No. 12/534,664, filed Aug. 3, 2009, (now U.S. Pat. No. 7,909,257) entitled “Apparatus Having Coordinated Exposure Period and Illumination Period,” which is incorporated by reference herein in its entirety, which application is a divisional of U.S. patent application Ser. No. 11/077,975, filed Mar. 11, 2005, (now U.S. Pat. No. 7,568,628) entitled “Bar Code Reading Device With Global Electronic Shutter Control,” which is incorporated herein by reference in its entirety. This application is related to U.S. patent application Ser. No. 11/077,976, filed Mar. 11, 2005, (now U.S. Pat. No. 7,611,060) entitled “System and Method to Automatically Focus an Image Reader,” which is incorporated herein by reference in its entirety.
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| Exhibit 169—Silverbrook: 35 U.S.C. §102 Invalidity Chart For U.S Pat. No. 9,576,169 Based on U.S. Pat. No. 8,132,729 , Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 32 pages. |
| Exhibit 169—Zhu 2004: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 9,576,169 Based on U.S. Pat. No. 7,490,774, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 61 pages. |
| Exhibit 429—B: U.S.C. § 103 Invalidity Chart for U.S. Pat. No. 10,721,429, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 75 pages. |
| Exhibit 429—Hung 2000: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 6,749,120, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 27 pages. |
| Exhibit 429—Joseph 2004: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 7,204,418, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 28 pages. |
| Exhibit 429—Meier 2003: 35 U.S.C. §102 Invalidity Chart For U.S. Publication No. 10,721,429 Based on U.S. Publication No. 2003/0218069, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 34 pages. |
| Exhibit 429—Olmstead 2005: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 7,234,641, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 37 pages. |
| Exhibit 429—Reddersen 2001: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 6,176,429, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 38 pages. |
| Exhibit 429—Acosta: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 7,527,207, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 34 pages. |
| Exhibit 429—Hori: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Publication No. 2002/0158127, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 35 pages. |
| Exhibit 429—Longacre-006: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 5,825,006, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 134 pages. |
| Exhibit 429—Poplin: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 7,333,145, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 66 pages. |
| Exhibit 429—Roustaei: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on International Publication No. 99/30269, Respondents' Initial Invalidity Contentions,Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 32 pages. |
| Exhibit 429—Silverbrook: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 8,132,729, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 50 pages. |
| Exhibit 429—Zhu 2004: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 10,721,429 Based on U.S. Pat. No. 7,490,774, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 45 pages. |
| Exhibit 628—B: U.S.C. § 103 Invalidity Chart for U.S. Pat. No. 7,568,628, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 91 pages. |
| Exhibit 628—Acosta: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 7,527,207, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 69 pages. |
| Exhibit 628—Hori: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Publication No. 2002/0158127, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 48 pages. |
| Exhibit 628—Hung 2000: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 6,749,120, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 68 pages. |
| Exhibit 628—Joseph 2004: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 7,204,418, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 57 pages. |
| Exhibit 628—Longacre-006: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 5,825,006, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 140 pages. |
| Exhibit 628—Meier 2003: 35 U.S.C. §102 Invalidity Chart for U.S. Pat. No. 7,568,628 Based on U.S. Publication No. 2003/0218069, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 73 pages. |
| Exhibit 628—Olmstead 2005: 35 U.S.C. §102 Invalidity Chart for U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 7,234,641, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 71 pages. |
| Exhibit 628—Poplin: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 7,333,145, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, And Components Thereof, USITC Inv. No. 337-TA-1285, 123 pages. |
| Exhibit 628—Reddersen 2001: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 6,176,429, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 80 pages. |
| Exhibit 628—Roustaei: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on International Publication No. 99/30269, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 50 pages. |
| Exhibit 628—Silverbrook: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 8,132,729, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 64 pages. |
| Exhibit 628—Zhu 2004: 35 U.S.C. §102 Invalidity Chart for U.S. Pat. No. 7,568,628 Based on U.S. Pat. No. 7,490,774, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 104 pages. |
| Exhibit 799—B: U.S.C. § 103 Invalidity Chart for U.S. Pat. No. 7,770,799, Feb. 9, 2022, 231 pages. |
| Exhibit D Prior Art for U.S. Pat. No. 8,978,985, Respondents' Notice of Prior Art, Sep. 9, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 5 pages. |
| Exhibit D-0 Invalidity Chart For U.S. Pat. No. 8,978,985, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 25 pages. |
| Exhibit D-1 Invalidity Chart For U.S. Pat. No. 8,978,985, Oct. 21, 2019, Based on U.S. Pat. No. 7,490,774, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 45 pages. |
| Exhibit D-2 Invalidity Chart For U.S. Pat. No. 8,978,985, Oct. 21, 2019, Based on U.S. Pat. No. 7,237,722, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 36 pages. |
| Exhibit D-3. Invalidity Chart For U.S. Pat. No. 8,978,985, Oct. 21, 2019, Based on U.S. Pat. No. 7,204,418, n the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 38 pages. |
| Exhibit D-4 Invalidity Chart For U.S. Pat. No. 8,978,985 Based on U.S. Pat. No. 6,176,429, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 38 pages. |
| Exhibit E Prior Art for U.S. Pat. No. 9,465,970, Respondents' Notice of Prior Art, Sep. 9, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 5 pages. |
| Exhibit E-0 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 7,490,774, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 64 pages. |
| Exhibit E-1 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 7,490,774, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 64 pages. |
| Exhibit E-2 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 7,237,722, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 38 pages. |
| Exhibit E-3 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 7,240,418, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 47 pages. |
| Exhibit E-4 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 6,176,429, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 52 pages. |
| Exhibit E-5 Invalidity Chart For U.S. Pat. No. 9,465,970 Based on U.S. Pat. No. 7,527,207, Oct. 21, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 34 pages. |
| Japanese Patent Application No. 63-185285, Jul. 30, 1988, (cited with English Abstract and translation in corresponding U.S. Pat. No. 4,858,020). |
| Respondents Notice of Prior Art, Sep. 9, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 40 pages. |
| Respondents' Initial Markman Brief, Oct. 28, 2019, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, 136 pages. |
| Respondents' Initial Markman Exhibit RXM-14, Declaration of Dr. Lambertus Hesselink In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Sep. 27, 2019, 93 Pages. |
| Respondents' Final Markman Exhibit RXM-13, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 3, 2019, Declaration of Dr. Benjamin F. Goldberg, 24 pages. |
| Respondents' Final Markman Exhibit RXM-14, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Declaration of Dr. Lambertus Hesselink, Dec. 3, 2019, 94 Pages. |
| Respondents' Final Markman Exhibit RXM-21, Complainants' Opening Claim Construction Brief, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, Dec. 3, 2019, USITC Inv. No. 337-TA-1165, 51 pages. |
| Respondents' Final Markman Exhibit RXM-22, Complainants' Reply Claim Construction Brief, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, Dec. 3, 2019, USITC Inv. No. 337-TA-1165, 53 pages. |
| “Dalsa IA-G1-VGA CMOS Area Array Sensor,” DALSA, undated (available at https://www.datasheetarchive.com/pdf/download.php?d=c7dccf64051389eeae5b9c6e6dbfb3d1f64d24&type=P&term=25V12V), retreived from the Internet on Jun. 6, 2023, 18 pages. |
| Allais, D, The History of Automatic Identification, ID Systems—The Magazine of Keyless Data Entry (Rev. F), dated Aug. 10, 2015, Retrieved from https://www.stonybrook.edu/commcms/libspecial/collections/manuscripts/aidc/aidchistory_allais.pdf (12 pages). |
| Complainants' Opening Claim Construction Brief, Corrected Exhibit CXM-0078, U.S. Pat. No. 7,219,841, Nov. 27, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 48 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0006, Kodak Kac-9630 CMOS Image Sensor, Device Performance Specification, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 23 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0023, U.S. Pat. No. 4,794,239, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 18 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0024, U.S. Pat. No. 5,304,786, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 52 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0054, Microsoft Press Computer Dictionary, The Comprehensive Standard For Business, School, Library, and Home, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 5 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0056, AIM, Uniform Symbology Specification Code 93, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 16 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0064, International Standard, Information Technology-Automatic Identification and Date Capture Techniques-Bar Code Symbology-QR Code, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 123 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0072, Webster's II New College Dictionary, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 4 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0074, Microsoft Press Computer Dictionary, The Comprehensive Standard For Business, School, Library, and Home, Optical Communications, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 5 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0078, U.S. Pat. No. 7,446,753, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 28 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0079, Oct. 28, 2019, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Declaration of R. Michael Guidash, 51 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0080, Oct. 28, 2019, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Declaration of Michael S. Kogan, 21 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit CXM-0081, Oct. 28, 2019, In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, Declaration of Dr. Omid Kia, 30 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0001, U.S. Pat. No. 9,465,970 (Issued Oct. 11, 2016), In the Matter of Certain Bar Code Readers, Scan Engines, Products Containing the Same, and Components Thereof, 56 pages, Oct. 28, 2019. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0002, U.S. Pat. No. 8,978,985, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 62 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0003, U.S. Pat. No. 7,148,923, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 15 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0004, U.S. Pat. No. 7,527,206, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 186 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0005, U.S. Pat. No. 9,659, 199, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 21 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0006, U.S. Pat. No. 7,159,783, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 22 pages. |
| Complainants' Opening Claim Construction Brief, Exhibit JXM-0010, Appendix C, Certified Copy of Prosecution History of U.S. Pat. No. 7,148,923, Oct. 28, 2019, In the matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and Components Thereof, USITC Inv. No. 337-TA-1165, 380 pages. |
| Complainants' Opening Claim Construction Brief, Oct. 28, 2019, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, 137 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0088, Bar Code 1: Plessey Code Specification Page, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof. USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 6 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0102, United States Postal Services DMM 708 Technical Specifications, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 34 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0103, Royal Mail, Four State Customer Code Symbology Specification and Application, PE 5969, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 30 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0104, Canada Post Corporation 4-State Bar Code Handbook, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 31 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0105, Koninklijke PTT Post BV KIX Specification, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 9 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0106, United States Postal Service DMM 503 Extra Services, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 40 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0109, Planet Depos, Transcript of Takashi Ushiki, Corporate Designee, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 6 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0110, U.S. Pat. No. 9,286,497, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 36 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0111, U.S. Pat. No. 6,729,546, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 25 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0112, U.S. Pat. No. 6,254,003, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 24 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0113, U.S. Pat. No. 7,303,126, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 13 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0114, U.S. Pat. No. 6,889,904, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 13 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0115,OPTICON, 2D Scan Engine, MDI-3100-SR, Specifications Manual, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 25 pages. |
| Complainants' Reply Claim Construction Brief, Exhibit CXM-0116, MDI-3000 Opticon Technical Support Portal, Specifications Manual, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 13, 2019, 2 pages. |
| Complainants' Response To Opticon's Response To Order No. 18, Jan. 2, 2020, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, 14 pages. |
| Complainants' Response to the ALJ's Questions Posed During the Markman Hearing, In the Matter of Certain Barcode Scanners, Scan Engines, Products Containing the Same, and the Components Thereof, USITC Inv. No. 337-TA-1165, Dec. 20, 2019, 24 pages. |
| Exhibit 169—B: U.S.C. § 103 Invalidity Chart for U.S. Pat. No. 9,576,169, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 55 pages. |
| Exhibit 169—Acosta: 35 U.S.C. §102 Invalidity Chart for U.S. Pat. No. 9,576,169 Based on U.S. Pat. No. 7,527,207, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 18 pages. |
| Exhibit 169—Hori: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 9,576,169 Based on U.S. Publication No. 2002/0158127, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 29 pages. |
| Exhibit 169—Hung 2000: 35 U.S.C. §102 Invalidity Chart For U.S. Pat. No. 9,576,169 Based on U.S. Pat. No. 6,749,120, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 17 pages. |
| Exhibit 169—Joseph 2004: 35 U.S.C. §102 Invalidity Chart For U.S Pat. No. 9,576,169 Based on U.S. Pat. No. 7,204,418 , Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 20 pages. |
| Exhibit 169—Longacre-006: 35 U.S.C. §102 Invalidity Chart for U.S Pat. No. 9,576, 169 Based on U.S. Pat. No. 5,825,006, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 96 pages. |
| Exhibit 169—Meier 2003: 35 U.S.C. §102 Invalidity Chart for U.S. Pat. No. 9,576,169 Based on U.S. Publication No. 2003/0218069, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 30 pages. |
| Exhibit 169—Olmstead 2005: 35 U.S.C. §102 Invalidity Chart For U.S Pat. No. 9,576, 169 Based on U.S. Pat. No. 7,234,641 , Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 33 pages. |
| Exhibit 169—Poplin: 35 U.S.C. §102 Invalidity Chart for U.S Pat. No. 9,576, 169 Based on U.S. Pat. No. 7,333,145, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 31 pages. |
| Exhibit 169—Reddersen 2001: 35 U.S.C. §102 Invalidity Chart for U.S Pat. No. 9,576, 169 Based on U.S. Pat. No. 6,176,429, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 30 pages. |
| Exhibit 169—Roustaei: 35 U.S.C. §102 Invalidity Chart for U.S Pat. No. 9,576, 169 Based on International Publication No. 99/30269, Respondents' Initial Invalidity Contentions, Feb. 9, 2022, In the Matter of Certain Barcode Scanners, Mobile Computers With Barcode Scanning Capabilities, Scan Engines, and Components Thereof, USITC Inv. No. 337-TA-1285, 19 pages. |
| English translation of JP Decision to Grant dated Jul. 11, 2023 for JP Application No. 2021041127, 2 page(s). |
| English Translation of JP Office Action dated Jul. 19, 2023 for JP Application No. 2021179355, 3 page(s). |
| Extended European Search Report dated Jun. 23, 2023 for EP Application No. 23155911, 8 page(s). |
| JP Decision to Grant dated Jul. 11, 2023 for JP Application No. 2021041127, 3 page(s). |
| JP Office Action dated Jul. 19, 2023 for JP Application No. 2021179355, 4 page(s). |
| Examiner Interview Summary Record (PTOL-413) dated Jun. 28, 2023 for U.S. Appl. No. 18/050,712, 2 page(s). |
| Non-Final Rejection dated Jul. 19, 2023 for U.S. Appl. No. 18/050,689, 18 page(s). |
| Non-Final Rejection dated Jun. 23, 2023 for U.S. Appl. No. 18/050,708, 14 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) dated Jul. 20, 2023 for U.S. Appl. No. 17/733,315, 9 page(s). |
| Office Action Appendix dated Jun. 28, 2023 for U.S. Appl. No. 18/050,712, 1 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Aug. 30, 2023 for U.S. Appl. No. 17/657,215, 8 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Sep. 15, 2023 for U.S. Appl. No. 18/050,682, 11 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Sep. 27, 2023 for U.S. Appl. No. 18/050,712, 11 page(s). |
| Non-Final Rejection Mailed on Oct. 4, 2023 for U.S. Appl. No. 18/050,696, 11 page(s). |
| Non-Final Rejection Mailed on Oct. 5, 2023 for U.S. Appl. No. 18/181,946, 9 page(s). |
| English Translation of JP Office Action dated Oct. 13, 2023 for JP Application No. 2022140002, 3 page(s). |
| JP Office Action Mailed on Oct. 13, 2023 for JP Application No. 2022140002, 3 page(s). |
| Non-Final Rejection Mailed on Nov. 9, 2023 for U.S. Appl. No. 18/304,088, 15 page(s). |
| Examiner Interview Summary Record (PTOL-413) Mailed on Jan. 9, 2024 for U.S. Appl. No. 18/050,696, 2 page(s). |
| Final Rejection Mailed on Jan. 4, 2024 for U.S. Appl. No. 18/050,708, 12 page(s). |
| Office Action Appendix Mailed on Jan. 9, 2024 for U.S. Appl. No. 18/050,696, 1 page(s). |
| Non-Final Rejection Mailed on Feb. 12, 2024 for U.S. Appl. No. 18/303,834, 12 page(s). |
| Non-Final Rejection Mailed on Jan. 31, 2024 for U.S. Appl. No. 17/825,742, 16 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Jan. 24, 2024 for U.S. Appl. No. 18/050,696, 9 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Jan. 25, 2024 for U.S. Appl. No. 18/181,946, 11 page(s). |
| Notice of Allowance and Fees Due (PTOL-85) Mailed on Jan. 31, 2024 for U.S. Appl. No. 18/050,689, 10 page(s). |
| English Translation of JP Office Action dated Mar. 1, 2024 for JP Application No. 2021179355, 2 page(s). |
| JP Office Action Mailed on Mar. 1, 2024 for JP Application No. 2021179355, 2 page(s). |
| Non-Final Rejection Mailed on Mar. 11, 2024 for U.S. Appl. No. 18/304,065, 12 page(s). |
| Number | Date | Country | |
|---|---|---|---|
| 20220408044 A1 | Dec 2022 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 12534664 | Aug 2009 | US |
| Child | 13052768 | US | |
| Parent | 11077975 | Mar 2005 | US |
| Child | 12534664 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17198587 | Mar 2021 | US |
| Child | 17733328 | US | |
| Parent | 17167452 | Feb 2021 | US |
| Child | 17198587 | US | |
| Parent | 16204077 | Nov 2018 | US |
| Child | 17167452 | US | |
| Parent | 15401779 | Jan 2017 | US |
| Child | 16204077 | US | |
| Parent | 15016927 | Feb 2016 | US |
| Child | 15401779 | US | |
| Parent | 14221903 | Mar 2014 | US |
| Child | 15016927 | US | |
| Parent | 13052768 | Mar 2011 | US |
| Child | 14221903 | US |
