Research on visual image processing based on YOLO algorithm

In the post-epidemic era, the manufacturing industry has undergone profound changes, and the importance of industrial machine vision technology has become increasingly prominent. In the face of many interferences and complex environments in industrial detection, extracting high-quality images is the focus and difficulty of research. This paper focuses on YOLO-based image processing technology, combined with deep learning<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> to improve image feature extraction and defect detection, and improve the accuracy and efficiency of traditional Chinese medicine detection.