Personnel Behavior Analysis Algorithms leverage deep learning and computer vision technologies to intelligently identify and analyze specific human behaviors. These algorithms provide real-time monitoring of abnormal behaviors in environments such as public spaces, commercial areas, and transportation hubs, enabling rapid response and security alerts. By accurately identifying behaviors such as loitering, boundary intrusion, abandoned items, crowd gathering, running, falling, fighting, and climbing, these algorithms enhance security and risk prevention capabilities. They are widely used in security surveillance, smart buildings, and public safety applications.