Kitchen abnormal behavior identification system based on video intelligent identification technology

The invention discloses a kitchen abnormal behavior identification system based on a video intelligent identification technology. The kitchen abnormal behavior identification system comprises the following steps: extracting a video according to frames, labeling data, training a model by using a YOLOv5 algorithm, and detecting; extracting data in an original kitchen monitoring video form according to frames, and converting the data into a picture form which can be applied to subsequent model training; the kitchen picture data extracted according to frames are labeled, and the data labeling is actually data processing; according to the method, the model is trained by using a YOLOv5 algorithm, and the YOLOv5 algorithm in the YOLO algorithm is utilized, so that multiple aspects of dressing standards, smoking, mask protection and health inspection of employees in a kitchen space are supervised by relying on a target detection and behavior recognition technology in artificial intelligence, managers can be helped to