Volleyball Game Analysis Using Computer Vision Algorithms

In recent years, modern technologies have made sports more accessible to a wider audience by providing interactive data during broadcasts, reducing the risk of human error, and enhancing athletes performance through real-time analysis and targeted training insights. This paper combines theoretical and practical approaches by developing an application based on specific convolutional neural networks for volleyball court detection and ball tracking. The results demonstrate the potential of advanced video analytics in sports, allowing users to explore the opportunities of modern technology in improving sports performance.