---
publication_id: "OT-2026-000002665"
title: "Systems and methods for automated produce grading and sorting using machine vision and robotics"
published_at: "2026-09-15T19:14:32.394624Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000002665"
categories:
  - "material-handling/sorting"
keywords:
  - "b07c5/3422"
  - "b07c5/3422"
  - "g06v20/68"
  - "b07c2501/0063"
  - "b07c2501/0063"
  - "b07c2501/0081"
---

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

## 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.