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