Work

Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging

Year: 2025

Type: article

Abstract: Automated fish grading and packaging, critical in the seafood industry, have not been simultaneously addressed by prior works using machine vision and robotics. This letter presents a novel proof-of-concept robotic vision system for automatic, size-based fish grading and packaging. Our system classifies frozen fish steaks into two size grades and localizes them on a conveyor belt for robotic pick-and-place via a specialized end-effector. Experiments achieved a grading accuracy of 87.6% and a robotic packaging rate of 87%, demonstrating the potential of vision-guided robotics for automated food quality inspection and handling.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16942220

Author: Mekhalfi, Mohamed Lamine

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: Smart Grading, Handling and Packaging Solutions for Soft and Deformable Products in Agile and Reconfigurable Lines

OpenAlex ID: W7077459363

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