Abstract: A system for object detection in an augmented reality scene includes a computing system adapted to receive a stream of images from a user device. For each image in a plurality of successive images from the stream of images, the computing system: generates predictions for objects identified in the image using object models from a datastore; compares the predictions with proposals from the datastore, the comparison including checking an overlap threshold of the predictions and the proposals; updates the proposals with the predictions if the overlap threshold is met, otherwise adds new proposals to the proposals using the predictions; filters the proposals to create stable object detections based on a stability threshold; annotates the image using the stable object detections; and sends the annotated image to the user device for presentation.

Abstract: A system for generating a scanning list of objects to be scanned for creating an image data set for use in object detection training. A list of the objects to be scanned is received. An initial set of object combinations of the objects to be scanned is enumerated. A modified set of object combinations is generated by applying rules to each object combination in the initial set of object combinations, the rules including identifying known objects based on inclusion of other objects in the combination, and the rules including identifying unscannable objects based on inclusion of other objects in the combination. The scanning list is generated by selecting object combinations from the modified set of object combinations until all objects to be scanned appear at least once in the scanning list.

Abstract: A system for zonal OCR in an AR context is provided having a monitored device having text in at least one zone for indicating device states; a computer receives a picture of said monitored device and said text and processes said picture to determine a plurality of feature points; a database is in data communication with said computer and stores a plurality of reference images with reference feature points and reference zones; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the image into a transformed image using the homography matrix; the computer executes optical character recognition on a zone of the transformed image based on the reference zones to generate extracted text.

Abstract: A system for performing functions in AR experiences is provided having a computer receiving an image of a monitored device having at least one object; the computer processes said image to determine a plurality of feature points; a database is in data communication with said computer and stores a plurality of reference images with reference feature points and reference object zones, each having a property; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the image into a transformed image using the homography matrix; the computer identifies an object zone in the transformed image based on the reference object zone; the computer determines an object state by processing a sub-image in the object zone of the transformed image based on the property associated with the reference object zone.

Abstract: A system to detect LEDs and their states in an AR context is provided having a monitored device having a plurality of LEDs; a computer receives a picture of the monitored device and LEDs; the computer processes said picture to determine a plurality of feature points; a database is in data communication with said computer that stores a plurality of reference images with reference feature points and reference zones; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the picture into a transformed picture using the homography matrix; the computer processes zones of the transformed picture based on the reference zones to determine the state of each of the plurality of LEDs by comparing a value of the picture in the zone with a reference value.

Abstract: The present invention provides a graphical tool to create custom multimedia workflows. The graphics tool is marketed as Experience Builder (EB). One implementation of EB is implemented as software as a service (SAAS) services featuring software for real-time collaboration on shared documents, data capturing, live video communications to support remote equipment and product repair, replacement, and maintenance services, and IT support services for products, services, and operations. Using EB enables authors to create their own visual instructions for customers and technicians. EB is a no-code workflow creation tool to develop process flows, such as, self-service guides, training guides, service bulletins, warranty process steps, and checklists. Optional generative AI is also available.

Abstract: A system for performing functions in AR experiences is provided having a computer receiving an image of a monitored device having at least one object; the computer processes said image to determine a plurality of feature points; a database is in data communication with said computer and stores a plurality of reference images with reference feature points and reference object zones, each having a property; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the image into a transformed image using the homography matrix; the computer identifies an object zone in the transformed image based on the reference object zone; the computer determines an object state by processing a sub-image in the object zone of the transformed image based on the property associated with the reference object zone.

Abstract: A system for generating a labelled image data set for use in object detection training includes a three-dimensional scan of an object and its environment in a coordinate space generated using a set of images taken by a user device. The three-dimensional scan has an annotation of the object in the coordinate space. Each image in the set of images has position information of the user device in the coordinate space. A computing system is adapted to annotate the set of images by projecting the annotation of the object onto each image using the position information. The computing system is adapted to generate a labelled image set for teaching object detection using the annotated set of images.

Abstract: A system for object detection in an augmented reality scene includes a computing system adapted to receive a stream of images from a user device. For each image in a plurality of successive images from the stream of images, the computing system: generates predictions for objects identified in the image using object models from a datastore; compares the predictions with proposals from the datastore, the comparison including checking an overlap threshold of the predictions and the proposals; updates the proposals with the predictions if the overlap threshold is met, otherwise adds new proposals to the proposals using the predictions; filters the proposals to create stable object detections based on a stability threshold; annotates the image using the stable object detections; and sends the annotated image to the user device for presentation.

Abstract: A system for generating a scanning list of objects to be scanned for creating an image data set for use in object detection training. A list of the objects to be scanned is received. An initial set of object combinations of the objects to be scanned is enumerated. A modified set of object combinations is generated by applying rules to each object combination in the initial set of object combinations, the rules including identifying known objects based on inclusion of other objects in the combination, and the rules including identifying unscannable objects based on inclusion of other objects in the combination. The scanning list is generated by selecting object combinations from the modified set of object combinations until all objects to be scanned appear at least once in the scanning list.

Abstract: A system for performing functions in AR experiences is provided having a computer receiving an image of a monitored device having at least one object; the computer processes said image to determine a plurality of feature points; a database is in data communication with said computer and stores a plurality of reference images with reference feature points and reference object zones, each having a property; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the image into a transformed image using the homography matrix; the computer identifies an object zone in the transformed image based on the reference object zone; the computer determines an object state by processing a sub-image in the object zone of the transformed image based on the property associated with the reference object zone.

Abstract: A system to detect LEDs and their states in an AR context is provided having a monitored device having a plurality of LEDs; a computer receives a picture of the monitored device and LEDs; the computer processes said picture to determine a plurality of feature points; a database is in data communication with said computer that stores a plurality of reference images with reference feature points and reference zones; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the picture into a transformed picture using the homography matrix; the computer processes zones of the transformed picture based on the reference zones to determine the state of each of the plurality of LEDs by comparing a value of the picture in the zone with a reference value.

Abstract: A system for zonal OCR in an AR context is provided having a monitored device having text in at least one zone for indicating device states; a computer receives a picture of said monitored device and said text and processes said picture to determine a plurality of feature points; a database is in data communication with said computer and stores a plurality of reference images with reference feature points and reference zones; the computer matches at least some of the plurality of feature points with at least some of the plurality of reference feature points to compute a homography matrix; the computer transforms the image into a transformed image using the homography matrix; the computer executes optical character recognition on a zone of the transformed image based on the reference zones to generate extracted text.

Abstract: A method for processing a print job includes: a) processing printer description language (PDL) image data for a select page of a print job to form raster image data for the select page, processing of the PDL image data and storing the raster image data in a RIP orientation; b) processing the raster image data for the select page to form bitmap image data for the select page, transforming the raster image data from the RIP orientation to a print orientation and storing the bitmap image data in the print orientation; and c) printing the bitmap image data arranged in the print orientation on a target substrate page to form a printed substrate page for the select page of the print job. A printing platform associated with the method includes a storage device, a RIP module, a rotator module, and a print engine.

Abstract: Methods, systems, and devices automatically monitor printing activities of a user using a tangible processor, and automatically analyze the printing activities of the user to determine the printing history of the user over time using the tangible processor. Also, these methods, systems, and devices automatically compare the printing history with previously established printing data (using the tangible processor) to produce an analysis of user printing activity, and automatically change the appearance of a graphic screen item on a graphic user interface based on the analysis of the user printing activity. Further, these methods, systems, and devices display details of the analysis of user printing activity on the graphic user interface in response to user interaction with the graphic screen item.

Abstract: A method for processing a print job includes: a) analyzing printer description language (PDL) image data for a print job; b) determining a raster image processor (RIP) orientation for the print job based at least in part on the analysis of the PDL image data, the RIP orientation being selected from a landscape orientation and a portrait orientation; and c) processing the PDL image data for each page of the print job to form raster image data for each page in the RIP orientation and storing the raster image data in the RIP orientation. A printing platform associated with the method includes a parser module, a controller module, a storage device, and a RIP module.

Abstract: A method and system are provided for reducing the bit depth of grayscale imagery using multi-bit halftoning. The halftoned image data may be lossy or losslessly compressed and stored in memory or transmitted over a communication channel. At the time of printing, the images are decompressed and reconstructed to a grayscale image data using Sigma filtering to preserve edges. Preferably, different Sigma filters may be applied based on contrast information within a local neighborhood region. Fuzzy edge detection may also be used to preserve edge features and prevent smearing.

Abstract: A method for processing a print job includes: a) analyzing printer description language (PDL) image data for a print job; b) determining a raster image processor (RIP) orientation for the print job based at least in part on the analysis of the PDL image data, the RIP orientation being selected from a landscape orientation and a portrait orientation; and c) processing the PDL image data for each page of the print job to form raster image data for each page in the RIP orientation and storing the raster image data in the RIP orientation. A printing platform associated with the method includes a parser module, a controller module, a storage device, and a RIP module.

Abstract: A method for processing a print job includes: a) processing printer description language (PDL) image data for a select page of a print job to form raster image data for the select page, processing of the PDL image data and storing the raster image data in a RIP orientation; b) processing the raster image data for the select page to form bitmap image data for the select page, transforming the raster image data from the RIP orientation to a print orientation and storing the bitmap image data in the print orientation; and c) printing the bitmap image data arranged in the print orientation on a target substrate page to form a printed substrate page for the select page of the print job. A printing platform associated with the method includes a storage device, a RIP module, a rotator module, and a print engine.

Abstract: The presently disclosed embodiments are directed to methods and systems for improving the performance of an image processor color to color tile transformation by caching color tiles most recently calculated. A page of a print job is received. One or more color tiles based on colors found in a previous print job are pre-calculated and stored in a memory. A color present in the page is read. The color is compared to one or more pre-calculated color tiles. If the color does not match a pre-calculated color tile, a new color tile for the color is calculated, a pre-calculated color tile is removed from the memory, the new color tile is added to the memory, and the new color tile is used to print the page. If the color does match a pre-calculated color tile stored in the memory, the pre-calculated color tile is used to print the page.