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صفحه اصلی
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International Conference on Artificial Intelligence; City, Industry and Health
Application of Artificial Intelligence in Toffee Food Safety
نویسندگان :
Mohammadreza Shirzad tabrizi
1
1- دانشگاه جامع علمی کاربردی آذربایجان شرقی
کلمات کلیدی :
Food safety،toffee،artificial intelligence،YOLOv5،computer vision
چکیده :
Food safety is a critical challenge in the food industry, and the adoption of emerging technologies such as artificial intelligence (AI) has created new opportunities for improvement. This paper investigates the application of the YOLOv5 model in detecting physical contaminants (e.g., hair, metal particles, wood splinters) in toffee production. Using high-resolution imaging and deep learning, a model was developed to detect contaminants in real-time on toffee products under actual factory conditions. Results show a precision of 96%, recall of 92%, and specificity of 98%, indicating strong potential for industrial use.
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