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@article{181640,
        author = {Shivam Upadhyay and Murtaza Tuta and Aishwarya Gadikar and Shreyas Kalate and Anita Gunjal},
        title = {Tennis Analytics System using Machine Learning and Computer Vision},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {4996-5005},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181640},
        abstract = {Tennis Analytics System is a comprehensive and intelligent solution in which expert and amateur tennis analytics are automated using enhanced methods for machine learning, deep learning, and computer vision. The system includes Yolov8, a real-time object recognition model, which accurately identifies and finds players and tennis balls via video frames. To maintain temporal consistency and enable motion-based analysis, robust object follow-up algorithms are used to facilitate accurate estimation of movement paths. At the same time, user-defined folding neural networks (CNNs) are developed and trained to identify court keypoints with high spatial accuracy so that the system can accurately map playback zones and player locations. The video stream is processed with OPENCV. This allows seamless frame extraction, real-time comments and visual feedback for analytical purposes. Integration of these technologies not only improves consensus analysis, but also opens a path for performance optimization, player strategy evaluation, and automatic highlight generation. This study contributes to the growth field of sports analytics by providing a scalable and efficient frame for real-time visual acuity-based multi-analysis in tennis.},
        keywords = {Tennis Analytics, Computer Vision, YOLOv8, Object Detection, Object Tracking, Convolutional Neural Network (CNN), Sports Technology, Court Keypoint Detection, OpenCV, Real-time Video Analysis, Deep Learning, Player Positioning, Motion Tracking, Game Zone Identification, Sports Performance Analysis.},
        month = {June},
        }