Research on Computer Vision System for Intelligent Management of Football Stadium Based on Internet of Things

This paper proposes an intelligent management computer vision system based on the Internet of Things for the special needs of football stadiums. The system integrates advanced image processing algorithms and computer system architecture, aiming to realize the functions of all-round monitoring, audience behavior analysis and security early warning inside and outside the football stadium. The core of the system includes a network of high-definition cameras, edge computing nodes and a central server. Cameras are responsible for capturing the environment inside and outside the venue in real time, and initial data processing is carried out through edge computing nodes to reduce data transmission latency. The central server is equipped with advanced image recognition algorithms, which can identify player movements, spectator density distribution, and abnormal behavior, such as trespassing, crowd gathering, etc., and issue instant alerts. In addition, the system also has automated ticket management, facility maintenance reminders and energy monitoring functions. The experimental results show that the system significantly improves the management efficiency and safety of football stadiums, especially during large-scale events, and can effectively prevent and respond to various emergencies. At the same time, through intelligent analysis of audience behavior, the system can also provide decision support for venue managers, optimize resource allocation and enhance the spectator experience.