AI-powered Tennis Analytics

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Customer

A top tennis academy and sports organization helping players improve with advanced training and match analysis tools.

Project Details

  • Duration: 3 Months

Technologies:

  • Deep Learning
  • OpenCV
  • Python
  • Data Science
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Problem

  • Tennis academies having multiple courts and players, struggle to provide 100% individual attention to each player during training sessions.
  • It’s difficult to keep track of each player’s performance and see where they need to improve.
  • Lack of game analysis data.

 

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Solution

  • We developed an AI model where we upload videos to provide game analysis.
  • It detects players, the ball, the court, the racket, and body pose for performance tracking.
  • The model also includes automatic game scoring and can identify various shots, such as backhand and forehand for game analysis.
  • The model clips the video to show only the parts where the players are actively playing and making shots, removing any downtime or irrelevant footage.

 

95%

Accuracy with the conclusive dashboard

Key Features

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Player Performance Tracking

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Automatic Game Scoring

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Shot Identification and Automatic Video Clipping

Occupancy management and beyond with a virtual replica

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