Design of optical sensors based on computer vision in basketball visual simulation system

With the development of computer vision technology, optical sensors are more and more widely used in the field of sports. But in basketball, the application of optical sensors is still relatively few. The aim of this research is to design an optical sensor system based on computer vision to realize the visual simulation of basketball. The study collected images and video data related to basketball, and processed and analyzed them. Computer vision algorithms are then used to identify and track key information in basketball motion, such as player positions and the trajectory of the ball. Then an optical sensor system is designed and implemented to acquire real-time data of basketball movement. Finally, a visualization simulation system is developed, which integrates the data acquired by optical sensor with the basketball scene to realize the realistic simulation of basketball. Through experiments and tests, the research proves the effectiveness and accuracy of the optical sensor system based on computer vision in the visual simulation of basketball sports. The system can capture and present important information in basketball sports in real time, help trainers and players better understand basketball tactics and techniques, and provide real-time feedback and analysis.