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7 June 2024 Elevating food safety standards: real-time contamination detection with the CSI handheld scanner
Hamed Taheri Gorji, Kaylee Husarik, Luke Woods, Jianwei Qin, Diane E. Chan, Insuck Baek, Moon S. Kim, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, Kouhyar Tavakolian
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Proceedings Volume PC13060, Sensing for Agriculture and Food Quality and Safety XVI; PC130600A (2024) https://doi.org/10.1117/12.3014184
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
The food service sector continually faces contamination risks, demanding advanced detection solutions. This study introduces the Contamination Sanitization Inspection (CSI) handheld scanner, employing fluorescence imaging and the You Only Look Once (YOLO) architecture for real-time contamination detection. Utilizing a dataset from 11 institutional kitchens and restaurants, the model achieved an 83% mean Average Precision (mAP). Deployed on two edge computing platforms, the CSI scanner exemplifies real-time, on-site contamination detection, offering a substantial stride toward elevating food safety standards and mitigating foodborne illnesses in diverse food service settings.
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Hamed Taheri Gorji, Kaylee Husarik, Luke Woods, Jianwei Qin, Diane E. Chan, Insuck Baek, Moon S. Kim, Stanislav Sokolov, Nicholas MacKinnon, Fartash Vasefi, and Kouhyar Tavakolian "Elevating food safety standards: real-time contamination detection with the CSI handheld scanner", Proc. SPIE PC13060, Sensing for Agriculture and Food Quality and Safety XVI, PC130600A (7 June 2024); https://doi.org/10.1117/12.3014184
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KEYWORDS
Contamination
Safety
Scanners
Standards development
Fluorescence imaging
Image processing
Light sources and illumination
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