Abstract: A data extraction service is disclosed. The data extraction service may receive an image that includes a data table. The data extraction service may perform optical character recognition on the image. The data extraction service may label text in the image to identify the table. The data extraction service may generate a digital data table corresponding to the data table in the image. The data extraction service may format the digital data table and provide the formatted digital data table to a downstream entity.

Abstract: This disclosure relates to polyurethane-based coating materials and coatings and coated products made therewith. In one aspect of the disclosure, an aqueous coating composition includes water, and, dispersed in the water, a functionalized anionic polyurethane present in an amount in the range of 20-80 wt % of the composition on a dry solids basis; a water-insoluble transition metal crosslinking agent present in an amount in the range of 0.5-30 wt % of the composition on a dry solids basis; and a pseudoplastic thickener in an amount in the range of 0.02 wt % to 4 wt % on a dry solids basis; and at least one colorant (e.g., a near-infrared reflective pigment) present in an amount in the range of 0.2 wt % to 40 wt % on a dry solids basis.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

Abstract: The present disclosure is directed to an artificial intelligence (AI) assisted monitoring system that uses cameras to recognize a product being moved by the user across the self-checkout unit and verifying whether the product was scanned at the point-of-sale terminal based on timestamp information associated with when the product was moved across the self-checkout unit to identify miss scan thefts.

Abstract: A platform for data collection, and in particular image collection, and model building therefrom is disclosed. In examples, received media content data, including image data, may be assigned a context category, and one or more context-specific models may be used to automatically annotate the image. Accuracy monitoring of the image annotations may indicate a need to manually annotate images for subsequent training. A priority may be assigned to one or more images, such that images may be queued for additional annotation. Such additional annotations may be used for model retraining. In some instances, a separate classification model may be used to identify a context category for image data from among predetermined contexts.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: The present disclosure involves systems, software, and computer implemented methods for automated message processing. Information associated with a failure message generated in response to process integration failure between two computer-implemented applications is received. The two computer-implemented applications include a sender application and a receiver application. The information includes a sender application/receiver application interface and details that caused the failure. Using the received information, multiple failure message similar to the failure message are identified. The identified messages were generated in response to the same process integration failure between the two computer-implemented applications. For either the sender or the receiver application, a resolution class operation executable to rectify the process integration failure is identified. The resolution class operation is simultaneously executed for all of the multiple failure messages.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. An iterative projection algorithm or product fingerprint matching algorithm can be used to identify the products. When an incorrect product listing or an empty shelf space is encountered, a message may be sent to the store employee to remedy the issue.

Abstract: A computer implemented method to detect compliance with safety requirements within a monitored environment. The method includes receiving at least one image of a monitored environment, analyzing the at least one image to detect one or more objects, analyzing the detected object and data corresponding to the monitored environment to determine that at least one characteristic of the object does not comply with a safety requirement, and generating a compliance record regarding the safety requirement.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: The present disclosure involves systems, software, and computer implemented methods for automated message processing. Information associated with a failure message generated in response to process integration failure between two computer-implemented applications is received. The two computer-implemented applications include a sender application and a receiver application. The information includes a sender application/receiver application interface and details that caused the failure. Using the received information, multiple failure message similar to the failure message are identified. The identified messages were generated in response to the same process integration failure between the two computer-implemented applications. For either the sender or the receiver application, a resolution class operation executable to rectify the process integration failure is identified. The resolution class operation is simultaneously executed for all of the multiple failure messages.

Abstract: In various embodiments, the present invention is directed to photothermal-responsive melanin-based nanocomposites comprising a plurality of natural or synthetic melanin nanoparticles distributed with a polymer matrix suitable for use in anti-counterfeiting, photothermal responsive-communication, sensors, and heat management, among other applications. In some embodiments, the present invention will be an ink, paint, or other coating comprising the photothermal-responsive melanin-based nanocomposites. In some embodiments, the present invention is directed to a written message or design comprising one or more of the photothermal-responsive melanin-based nanocomposites. In some of these embodiments, the written message or design will be comprised of two ore more of the photothermal-responsive melanin-based nanocomposites having different concentrations of natural or synthetic melanin nanoparticles.

Abstract: In one or more embodiments, the present invention provides a method of applying or printing structural colors to a substrate that involves pre-treatment of the substrate surface to prevent absorption of the fluid containing the particles. This allows the fluid to maintain their sessile drop shapes and as the water evaporates, the colloidal particles spontaneously assemble within the confined geometry into semi-ordered structures that interact with light to produce structural color. While the pre-treatment may be done in a variety of ways, application of a, hydrophobic and/or oleophobic coating, like 1H-IH,2H-perfluoro-1-dodecene (C10F21—CH?CH2) (perfluoro) monomer, fluoroalkyls, fluorohydroalkyls, cyclo-fluoroalkyls, fluorobenzen, by plasma-enhanced chemical vapor deposition (cold plasma treatment) has been found to be effective, particularly for printing applications. These treated substrates allow production of a wide range of structural colors using binary systems of nanoparticles.

Abstract: An appliance door assembly is provided that comprises a primary door pivotally coupled to an appliance and positioned to seal a cavity defined by the appliance and a secondary door slideably coupled to the primary door. The secondary door is slidable between a first position and a second position when the primary door is in a closed position. The appliance door assembly further includes first and second engagement features operable between first and second positions. The secondary door is operably coupled to a track assembly disposed within the cavity when the first engagement feature is in the first position. The first and second positions of the second engagement feature correspond with the first and second positions of the first engagement feature. The secondary door is operably coupled to a rack disposed within the cavity when the second engagement feature is in the first position.

Abstract: In one or more embodiments, the present invention provides a method of applying or printing structural colors to a substrate that involves pre-treatment of the substrate surface to prevent absorption of the fluid containing the particles. This allows the fluid to maintain their sessile drop shapes and as the water evaporates, the colloidal particles spontaneously assemble within the confined geometry into semi-ordered structures that interact with light to produce structural color. While the pre-treatment may be done in a variety of ways, application of a, hydrophobic and/or oleophobic coating, like 1H-IH,2H-perfluoro-1-dodecene (C10F21—CH?CH2) (perfluoro) monomer, fluoroalkyls, fluorohydroalkyls, cyclo-fluoroalkyls, fluorobenzen, by plasma-enhanced chemical vapor deposition (cold plasma treatment) has been found to be effective, particularly for printing applications. These treated substrates allow production of a wide range of structural colors using binary systems of nanoparticles.

Abstract: An appliance door assembly is provided that comprises a primary door pivotally coupled to an appliance and positioned to seal a cavity defined by the appliance and a secondary door slideably coupled to the primary door. The secondary door is slidable between a first position and a second position when the primary door is in a closed position. The appliance door assembly further includes first and second engagement features operable between first and second positions. The secondary door is operably coupled to a track assembly disposed within the cavity when the first engagement feature is in the first position. The first and second positions of the second engagement feature correspond with the first and second positions of the first engagement feature. The secondary door is operably coupled to a rack disposed within the cavity when the second engagement feature is in the first position.

Abstract: A system and method are disclosed for the automated selection of an advertisement to be displayed within a video. The video may be analyzed and compared with available advertisements to select a relevant advertisement. Video data may be related to the video and compared with advertisement data that is related to each of the available advertisements in selecting the relevant advertisement.

Abstract: A system and method are disclosed for editing a video to include an advertisement in the video. The advertisement may be inserted into the video based on the video timeline or on a frame-by-frame basis. The user may control when and how the advertisement is displayed within the video. The advertisement may be selected based on a variety of factors that may determine the effectiveness or profitability of the advertisement.