Development of Artificial Intelligence-Based Product Size Detection System

We developed an artificial intelligence (AI)-based size detection system by combining image recognition and weight analysis to address inconsistent sizing in manually processed sashimi products.Using a custom imaging setup and YOLOv11_obb, the system detects sashimi pieces and accounts for orientation variations.It measures their size based on their area and weight, ensuring compliance with quality standards.This system reduces human error, identifies out-of-spec products at an early stage, and prevents defective shipments.The developed system demonstrated high detection accuracy, although its classification precision needs to be enhanced.The system is a promising tool for enhancing efficiency and quality control in seafood processing environments.