Safety Perception Recognition

Safety Perception Recognition is an important branch of computer vision that focuses on capturing and analyzing environmental information through visual sensors to identify potential safety risks and threats. Its core objective is to enhance the system's perception capabilities and depth of understanding in complex environments, ensuring real-time and accurate detection of abnormal behaviors and hazardous factors, thereby effectively preventing the occurrence of safety accidents. This technology is widely applied in intelligent surveillance, industrial safety, autonomous driving, and other fields, possessing significant application value and social significance.