Patents by Inventor Arye Barnehama
Arye Barnehama has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Machine-learning based continuous camera image triggering for quality assurance inspection processes
Patent number: 12131459Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, it is detected whether there is an object within each image. Based on this detection, images in which each object is detected that meet predefined object representation parameters are identified (on an object-by-object basis, etc.). The identified images are provided to a consuming application or process for quality assurance analysis. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: June 7, 2021Date of Patent: October 29, 2024Assignee: Elementary Robotics, Inc.Inventors: Dat Do, Arye Barnehama -
Patent number: 12096157Abstract: Each of a plurality of co-located inspection camera modules captures raw images of objects passing in front of the co-located inspection camera modules which form part of a quality assurance inspection system. The inspection camera modules have either a different image sensor or lens focal properties and generate different feeds of raw images. The co-located inspection camera modules can reside within a single standalone module and be selectively switched amongst to activate the corresponding feed of raw images. The activated feed of raw images is provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: November 22, 2021Date of Patent: September 17, 2024Assignee: Elementary Robotics, Inc.Inventors: Daniel Pipe-Mazo, Arye Barnehama, Dat Do
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Patent number: 12051186Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, a machine learning model is used to generate a representation of each image. These representations are analyzed to determine a type of object captured in the corresponding image. This analysis can be provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: November 3, 2021Date of Patent: July 30, 2024Assignee: Elementary Robotics, Inc.Inventors: Arye Barnehama, Dat Do
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Patent number: 12050454Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of each of a plurality of inspection camera modules forming part of each of a plurality of stations. The stations can together form part of a quality assurance inspection system. The objects when combined or assembled, can form a product. The received data derived from each inspection camera module can be separately analyzed using at least one image analysis inspection tool. The analyzing can include visually detecting a unique identifier for each object. The images are transmitted with results from the inspection camera modules along with the unique identifiers to a cloud-based server to correlate results from the analyzing for each inspection camera module on an product-by-product basis. Access to the correlated results can be provided to a consuming application or process via the cloud-based server.Type: GrantFiled: November 10, 2021Date of Patent: July 30, 2024Assignee: Elementary Robotics, Inc.Inventors: Kyle Bebak, Eduardo Mancera, Milind Karnik, Arye Barnehama, Daniel Pipe-Mazo
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Explainability and complementary information for camera-based quality assurance inspection processes
Patent number: 11954846Abstract: A video processing pipeline receives data derived from a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Quality assurance metrics for the object are generated by one or more containerized image analysis inspection tools forming part of the video processing pipeline using the received data for each object. Overlay images are later generated that characterize the quality assurance metrics. These overlay images are combined with the corresponding image of the object to generate an enhanced image of each of the objects. These enhanced images are provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: June 7, 2021Date of Patent: April 9, 2024Assignee: Elementary Robotics, Inc.Inventors: Dat Do, Arye Barnehama, Daniel Pipe-Mazo -
Patent number: 11941799Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Within each image, it is detected whether an object is present within the image. Instance identifiers are assigned to each object. A single image is identified in which the object is optimally represented for each object using the corresponding instance identifier. These identified images are provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: October 26, 2021Date of Patent: March 26, 2024Assignee: Elementary Robotics, Inc.Inventors: Dat Do, Arye Barnehama
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Patent number: 11937019Abstract: Each of a plurality of co-located inspection camera modules captures raw images of objects passing in front of the co-located inspection camera modules which form part of a quality assurance inspection system. The inspection camera modules have either a different image sensor or lens focal properties and generate different feeds of raw images. The co-located inspection camera modules can be selectively switched amongst to activate the corresponding feed of raw images. The activated feed of raw images is provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: June 7, 2021Date of Patent: March 19, 2024Assignee: Elementary Robotics, Inc.Inventors: Arye Barnehama, Dat Do, Daniel Pipe-Mazo
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Patent number: 11675345Abstract: Data is received that is derived from each of a plurality of inspection camera modules forming part of a quality assurance inspection system. The data includes a feed of images of a plurality of objects passing in front of the respective inspection camera module. Thereafter, the received data is separately analyzed by each inspection camera module using at least one image analysis inspection tool. The results of the analyzing can be correlated for each inspection camera module on an object-by-object basis. The correlating can use timestamps for the images and/or detected unique identifiers within the images and can be performed by a cloud-based server and/or a local edge computer. Access to the correlated results can be provided to a consuming application or process.Type: GrantFiled: November 10, 2021Date of Patent: June 13, 2023Assignee: Elementary Robotics, Inc.Inventors: Kyle Bebak, Eduardo Mancera, Milind Karnik, Arye Barnehama, Daniel Pipe-Mazo
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Publication number: 20230142117Abstract: Data is received that is derived from each of a plurality of inspection camera modules forming part of a quality assurance inspection system. The data includes a feed of images of a plurality of objects passing in front of the respective inspection camera module. Thereafter, the received data is separately analyzed by each inspection camera module using at least one image analysis inspection tool. The results of the analyzing can be correlated for each inspection camera module on an object-by-object basis. The correlating can use timestamps for the images and/or detected unique identifiers within the images and can be performed by a cloud-based server and/or a local edge computer. Access to the correlated results can be provided to a consuming application or process.Type: ApplicationFiled: November 10, 2021Publication date: May 11, 2023Inventors: Kyle Bebak, Eduardo Mancera, Milind Karnik, Arye Barnehama, Daniel Pipe-Mazo
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Publication number: 20230143402Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of each of a plurality of inspection camera modules forming part of each of a plurality of stations. The stations can together form part of a quality assurance inspection system. The objects when combined or assembled, can form a product. The received data derived from each inspection camera module can be separately analyzed using at least one image analysis inspection tool. The analyzing can include visually detecting a unique identifier for each object. The images are transmitted with results from the inspection camera modules along with the unique identifiers to a cloud-based server to correlate results from the analyzing for each inspection camera module on an product-by-product basis. Access to the correlated results can be provided to a consuming application or process via the cloud-based server.Type: ApplicationFiled: November 10, 2021Publication date: May 11, 2023Inventors: Kyle Bebak, Eduardo Mancera, Milind Karnik, Arye Barnehama, Daniel Pipe-Mazo
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Publication number: 20230133152Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, a machine learning model is used to generate a representation of each image. These representations are analyzed to determine a type of object captured in the corresponding image. This analysis can be provided to a consuming application or process for quality assurance analysis.Type: ApplicationFiled: November 3, 2021Publication date: May 4, 2023Inventors: Arye Barnehama, Dat Do
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Patent number: 11622708Abstract: A system and method for a multichannel voltage recording device is described. A multichannel voltage recording device comprises at least three electrodes disposed across a conductive material. The electrodes are configured to be coupled to a skin of a user. A frame comprises the conductive material that is configured to receive a driven right leg (DRL) signal based on the voltage signals from the at least three electrodes.Type: GrantFiled: March 2, 2016Date of Patent: April 11, 2023Assignee: Meta Platforms Technologies, LLCInventors: Teresa Ann Nick, Ravi Patel, Michael Maridakis, Stefanie Hutka, Laura Berman, Arye Barnehama
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Publication number: 20220394215Abstract: Each of a plurality of co-located inspection camera modules captures raw images of objects passing in front of the co-located inspection camera modules which form part of a quality assurance inspection system. The inspection camera modules have either a different image sensor or lens focal properties and generate different feeds of raw images. The co-located inspection camera modules can reside within a single standalone module and be selectively switched amongst to activate the corresponding feed of raw images. The activated feed of raw images is provided to a consuming application or process for quality assurance analysis.Type: ApplicationFiled: November 22, 2021Publication date: December 8, 2022Inventors: Daniel Pipe-Mazo, Arye Barnehama, Dat Do
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Machine-Learning Based Continuous Camera Image Triggering for Quality Assurance Inspection Processes
Publication number: 20220392055Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Thereafter, it is detected whether there is an object within each image. Based on this detection, images in which each object is detected that meet predefined object representation parameters are identified (on an object-by-object basis, etc.). The identified images are provided to a consuming application or process for quality assurance analysis. Related apparatus, systems, techniques and articles are also described.Type: ApplicationFiled: June 7, 2021Publication date: December 8, 2022Inventors: Dat Do, Arye Barnehama -
Publication number: 20220394214Abstract: Each of a plurality of co-located inspection camera modules captures raw images of objects passing in front of the co-located inspection camera modules which form part of a quality assurance inspection system. The inspection camera modules have either a different image sensor or lens focal properties and generate different feeds of raw images. The co-located inspection camera modules can be selectively switched amongst to activate the corresponding feed of raw images. The activated feed of raw images is provided to a consuming application or process for quality assurance analysis.Type: ApplicationFiled: June 7, 2021Publication date: December 8, 2022Inventors: Arye Barnehama, Dat Do, Daniel Pipe-Mazo
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Publication number: 20220392040Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Within each image, it is detected whether an object is present within the image. Instance identifiers are assigned to each object. A single image is identified in which the object is optimally represented for each object using the corresponding instance identifier. These identified images are provided to a consuming application or process for quality assurance analysis.Type: ApplicationFiled: October 26, 2021Publication date: December 8, 2022Inventors: Dat Do, Arye Barnehama
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Patent number: 11386289Abstract: Disclosed herein are embodiments related to robot-aided product inspection. For example, an inspection apparatus may include a processing device to communicatively couple to a robotic apparatus, to a display device, and to a user input device. The processing device may: receive an image of an item, wherein the image was captured by the robotic apparatus; generate a proposed classification for the image, wherein the classification indicates an attribute of the item based on the image; cause the image to be displayed on the display device along with the proposed classification; and receive an indication from the user input device of a final classification of the image.Type: GrantFiled: November 5, 2019Date of Patent: July 12, 2022Assignee: Elementary Robotics, Inc.Inventors: Arye Barnehama, Xuefei Dong, Dat Do, Nambi Srivatsav, Petr Lipay, Dan Pipe-Mazo
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Patent number: 11232554Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Within each image, it is detected whether an object is present within the image. Instance identifiers are assigned to each object. A single image is identified in which the object is optimally represented for each object using the corresponding instance identifier. These identified images are provided to a consuming application or process for quality assurance analysis.Type: GrantFiled: June 7, 2021Date of Patent: January 25, 2022Assignee: Elementary Robotics, Inc.Inventors: Dat Do, Arye Barnehama
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Explainability and Complementary Information for Camera-Based Quality Assurance Inspection Processes
Publication number: 20210390677Abstract: A video processing pipeline receives data derived from a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Quality assurance metrics for the object are generated by one or more containerized image analysis inspection tools forming part of the video processing pipeline using the received data for each object. Overlay images are later generated that characterize the quality assurance metrics. These overlay images are combined with the corresponding image of the object to generate an enhanced image of each of the objects. These enhanced images are provided to a consuming application or process for quality assurance analysis.Type: ApplicationFiled: June 7, 2021Publication date: December 16, 2021Inventors: Dat Do, Arye Barnehama, Daniel Pipe-Mazo -
Publication number: 20210129339Abstract: Disclosed herein are embodiments related to calibration and zeroing in robotic systems. For example, an apparatus for robotic zeroing may include a processing device to perform a joint zeroing operation on a first joint assembly of a robotic apparatus. The joint zeroing operation may include: determining a reference vector for zeroing the first joint assembly, wherein the first joint assembly is mechanically coupled to a base of the robotic apparatus; identifying an acceleration vector representative of an orientation of a second joint assembly of the robotic apparatus, wherein the first joint assembly is mechanically between the base and the second joint assembly; determining whether the acceleration vector is aligned with the reference vector; and, in response to a determination that the acceleration vector is not aligned with the reference vector, causing the first joint assembly to move.Type: ApplicationFiled: November 5, 2019Publication date: May 6, 2021Inventors: Dan Pipe-Mazo, Dat Do, Arye Barnehama, Nambi Srivatsav, Petr Lipay