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

IEEE/CAA Journal of Automatica Sinica 2026 Open access

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Authors: Mohamed Lamine Mekhalfi, Saigopal Vasudevan, Jorge S. Calado, Anh Dong Le, Pablo Malvido Fresnillo, Jose Ferreira, Pedro García, Carla Macieira, Paul Chippendale, Ricardo Jardim-Goncalves, José L. Martínez Lastra, Fabio Poiesi
DOI: 10.1109/jas.2025.125801
Cited by: 1

Abstract

Dear Editor, 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.

Fields of Study & Subjects

Water Quality Monitoring Technologies Water Quality Monitoring and Analysis Spectroscopy and Chemometric Analyses

Publication details

Journal / source
IEEE/CAA Journal of Automatica Sinica
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
13
Issue
4
Pages
983–985
Publication date
1 April 2026
Language
EN