Application of intelligent football training system based on IoT optical imaging and sensor data monitoring

With the development of the Internet of Things and artificial intelligence, the functions of football training systems continue to expand to meet the needs of training. Optical imaging technology plays an important role in football training, which can monitor and analyze players' movements and techniques in real time. The aim of this study is to develop an intelligent football training system based on iot optical imaging and sensor data monitoring to improve the skill level of players. The optical imaging equipment and sensors are arranged on the football field, and the movement and technical data of the players are collected. The data are processed and analyzed by computer vision and data analysis algorithms. Finally, the analysis is fed back to the players and coaches. By using the Smart Football training system, players can get their own technical evaluation and feedback in real time, and coaches can better understand the training situation and progress of players. The results show that the intelligent football training system based on the Internet of Things optical imaging and sensor data monitoring is an effective tool to assist players and coaches to improve the training effect and enhance the technical level of players.