Journal of Engineering Design and

Computational Science

Open Access Peer Reviewed International Journal

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ISSN : 2583-5165

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YOLO V-8 Based AI System for In-depth Tennis Match Analysis


Author(s)
Prof. Dewendra Bharambe, Sagar Sarode, Vaibhav Rathod, Siya Devharkar
Abstract
It uses the real-time object detection features of the You Only Look Once (YOLO) v8 architecture to track players and the ball in a match. The system computes key performance metrics such as the speed of the hitting ball and the speed of the players to measure efficiency, reaction time, and the player's performance in the match. These include, specifically, hitting speed of the ball, using the trajectory and time intervals of the key frames for detection, while players' speed may be derived from movements across the court. With these two, detailed player performance profiles can be generated, and these could be used in post-match analysis, strategic decision-making, and enhancing performance. This study demonstrates the potential of YOLO v8 as a highperformance tool in sports analytics to build an efficient and scalable solution for the evaluation of professional tennis performance