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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12558712-B1, on 24 February 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000002665

Systems and methods for automated produce grading and sorting using machine vision and robotics

Published
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Classification
Material Handling › Sorting
Inventors
MORGAN ANDREW
Assignee
ASCENSION AUTOMATION SOLUTIONS LTD
Original source
US-12558712-B1, the United States Patent and Trademark Office, 24 February 2026
Document SHA-256
053236a571a160f6d7d72116555b23d84d6ca893ae21df256df725edd75fe41a

Abstract

A system including: a robotic frame including at least an actuated arm, a machine-vision system including at least a camera, the machine-vision system communicatively connected to a computing device, the computing device including at least a processor and a memory communicatively connected to the at least a processor, the memory storing instructions configuring the at least a processor to: receive image data from the at least a camera, the image data including at least two captured viewpoints of a produce item, extract at least an object-level visual feature from the image data using a machine vision model, assign a defect classification label to the produce item as a function of the at least an object-level visual feature, and control the at least an actuated arm to perform a handling operation on the produce item as a function of the defect classification label.

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Citation

OpenTechnical Publication OT-2026-000002665, “Systems and methods for automated produce grading and sorting using machine vision and robotics,” published September 15, 2026 at 19:14:32 UTC, https://opentechnical.org/p/OT-2026-000002665.

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