Food safety assurance and training of meat inspectors using handheld fluorescence imaging with deep learning detection algorithm

Hamed Taheri Gorji; Seyed Mojtaba Shahabi; Lucas Q. Tande; Akshay Sharma; Jianwei Qin; Diane E. Chan; Insuck Baek; Fartash Vasefi; Nicholas MacKinnon; Alireza Akhbardeh; Moon S. Kim; Kouhyar Tavakolian

doi:10.1117/12.2623363

30 May 2022 Food safety assurance and training of meat inspectors using handheld fluorescence imaging with deep learning detection algorithm

Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Lucas Q. Tande, Akshay Sharma, Jianwei Qin, Diane E. Chan, Insuck Baek, Fartash Vasefi, Nicholas MacKinnon, Alireza Akhbardeh, Moon S. Kim, Kouhyar Tavakolian

Author Affiliations +

Proceedings Volume PC12120, Sensing for Agriculture and Food Quality and Safety XIV; PC121200I (2022) https://doi.org/10.1117/12.2623363
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Meat and poultry can be contaminated by pathogens like E. coli and salmonella. Animal fecal matter and ingesta host these pathogens, so developing a method to detect contamination on meat surfaces is crucial. We visited four meat processing facilities and used a handheld fluorescence imaging device to detect fecal matter or ingesta on carcasses. We investigated the efficiency and reliability of a state-of-the-art semantic segmentation algorithm to segment fecal or ingesta contaminated regions in meat surfaces images. Industry could use CSI-D to train employees in trimming carcasses as part of their Hazard Analysis Critical Control Point zero tolerance plan.

Conference Presentation

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Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Lucas Q. Tande, Akshay Sharma, Jianwei Qin, Diane E. Chan, Insuck Baek, Fartash Vasefi, Nicholas MacKinnon, Alireza Akhbardeh, Moon S. Kim, and Kouhyar Tavakolian "Food safety assurance and training of meat inspectors using handheld fluorescence imaging with deep learning detection algorithm", Proc. SPIE PC12120, Sensing for Agriculture and Food Quality and Safety XIV, PC121200I (30 May 2022); https://doi.org/10.1117/12.2623363

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