<p>Football is a sport that requires good lower limb strength and coordination, so lower limb training is more important for the development of football players. At present, many traditional lower limb training methods are difficult to provide the physical reaction speed and strength output required by football players. Therefore, this study aims to develop a new soccer lower limb training method using light sensor detection technology to simulate dynamic images in real soccer matches. A lower limb training system based on light sensor detection is designed and implemented. The system can monitor athletes’ movements in real time through light sensors and convert them into dynamic images for simulation. In order to verify the effectiveness of the system, a number of football trainers were recruited to participate in lower extremity training, and their training effects were compared using traditional training methods and light sensor detection methods. The experimental results show that the lower limb training system based on light sensor detection can better provide the body reaction speed and strength output required by football players. Compared with traditional training methods, the lower extremity training using light sensor detection method can significantly improve the training effect of athletes.</p>