Detection and identification of foreign bodies in conditioned steak based on ultrasound imaging

• Published in: FOOD SCIENCE AND TECHNOLOGY RESEARCH Vol. 30; no. 3; pp. 269 - 280
• Main Authors: Li, Chen, Niu, Zeng, Zuo, Min, Wang, Tianzhen, Zou, Xiaobo, Sun, Zongbao
• Format: Journal Article
• Language: English
• Published: Tsukuba Japanese Society for Food Science and Technology 01.01.2024; The Japanese Society for Food Science and Technology; Japan Science and Technology Agency
• Subjects: Artificial neural networks; Bones; conditioned steak; Crush tests; Discriminant analysis; ELM; Feasibility studies; Foreign bodies; foreign body; Hazard identification; Imaging; Machine learning; Manufacturing industry; Pattern recognition; Texture recognition; Ultrasonic imaging; Ultrasonic testing; Ultrasound

Conditioned steak is easily contaminated by foreign bodies, such as iron sheets, glass, and crush bones in the manufacturing processes, posing hidden safety hazards to consumers. In this study, the feasibility of using ultrasonic imaging to detect and identify foreign bodies in conditioned steaks wa...