Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Ari Aharari, Shuntaro Tanaka
Institution: Sojo University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4414215006