Presentation
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
Author Affiliations +
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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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