Application of Computer Vision Technology in Food Inspection
This paper summarizes the specific applications of computer vision technology in food appearance quality inspection,component analysis and identification,microbial contamination detection and shelf life prediction,analyzes its challenges in food testing,and proposes optimization strategies and technological innovations such as data augmentation and transfer learning,refined feature extraction and background suppression,lightweight model design and hardware acceleration,multimodal information fusion and regulatory adaptability design.The purpose of this study is to provide strong support for improving the efficiency and accuracy of food testing.
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