Research on All-Domain Situation Awareness Technology for Video Surveillance Based on Artificial Intelligence

Abstract

In the context of the continuous deepening of smart city and safe city construction, the urban video surveillance system has achieved all-round three-dimensional coverage, and the traditional monitoring operation mode relying on manual duty and post-event review has become difficult to adapt to the current dynamic and complex public security control requirements. As a core research direction in the field of intelligent security, global situation awareness, relying on computer vision, artificial intelligence and spatio-temporal big data analysis technology, breaks through the functional limitations of traditional video surveillance and can conduct intelligent perception, analysis and early warning of various scene elements in the monitored area at all times and in all directions, It effectively addresses industry pain points such as fragmented vision, low data utilization, lagging event response, and frequent false and missed detections in traditional surveillance. This paper, in light of the current development status of intelligent surveillance technology, systematically explores the integrated application system of artificial intelligence and video global situation awareness, comparatively analyzes the inherent flaws of traditional surveillance models and the technical advantages of AI intelligent perception, and focuses on dissecting core key technologies such as lightweight target detection, multi-target trajectory tracking, abnormal behavior recognition, and multi-source data fusion. Build a five-layer modular global situation awareness system architecture. By setting up a multi-scenario experimental environment for comparative testing, verify the practicality and accuracy of the technical solution proposed in this paper, sort out the shortcomings and bottlenecks of the current technology in combination with the current application status, propose targeted optimization and improvement plans, and predict the future development trend of the industry. The experimental and research results show that artificial intelligence technology can effectively enhance the all-domain scene perception ability of video surveillance, the accuracy of complex event judgment and the efficiency of emergency response, provide technical support for the intelligent upgrade of scenarios such as urban traffic governance, public security prevention and control, and emergency management and control of sudden incidents, and provide theoretical reference for the standardized and large-scale construction of the all-domain intelligent security system.