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.
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