A competitive tennis academy relied entirely on coach observation for player development. Without objective data, training was inconsistent and players plateaued without understanding why. We built a computer vision system that analyzes match and practice video to track every aspect of performance — ball trajectory, player positioning, stroke mechanics, footwork patterns, and tactical decisions.
Tennis moves fast. Ball speeds exceed 100mph, rallies last seconds, and the camera angle affects what's visible. The vision system needed to track ball and player positions accurately from standard court cameras (no special equipment), handle varying lighting conditions, and translate raw tracking data into actionable coaching insights.
We trained a custom object detection model on thousands of hours of tennis footage for ball and player tracking. A biomechanics analysis module evaluates stroke technique by comparing joint angles and timing against professional benchmarks. A tactical analysis layer identifies patterns in shot selection, court positioning, and point construction. Everything feeds into a coaching dashboard with video clips linked to each data point.
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Request a DemoOur coaches can now show players exactly what they need to improve with data and video proof. Training is completely transformed.
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Book a Free Strategy CallRead times decreased 40%. Critical findings flagged within minutes instead of hours.
View DetailsSimulation iteration cycles reduced from weeks to hours. Two new papers published in first quarter.
View DetailsAverage client ranking improved 32 positions. Agency scaled to 120 clients with same team.
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