The invention relates to the technical field of
machine vision, in particular to a
system and a method for realizing abnormal behavior detection and intelligent analysis in an industrial scene based on a
machine vision technology. According to the
system, workshop image data are collected through a high-precision camera, and the action and posture of a worker and the operation state of equipment are analyzed through an image
recognition algorithm. In order to ensure accurate detection, a multivariate
feature model is constructed to mine behavior features, and a
deep learning neural network is adopted to optimize recognition accuracy and speed. The method is characterized in that the
image quality is improved through data preprocessing, accurate behavior positioning and recognition are realized through fusion of multiple algorithms, and an intelligent analysis module is designed to generate a report to assist
decision making. In industrial production, the
system can timely discover abnormal conditions such as illegal operation, deviation from a safe area, fatigue operation and the like, give an alarm and provide an analysis report, so that accidents are avoided, and production benefits are improved. Through testing, the abnormal behavior detection accuracy is high, the system response is rapid, and industrial safety management and production
process optimization can be effectively assisted.