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

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.