Leverage AI tennis video analysis to automate line calling, analyze serve and stroke biomechanics, and generate real-time match insights, without expensive hardware or complex setups.
Elite tournaments use 10-camera hardware setups like Hawk-Eye. But for club-level analytics or mobile apps, that infrastructure is impossible. Relying on hardware creates three blockers:
Installing permanent cameras and sensors costs $20k-$50k per court. Our Vision-Based AI runs on portable iPhones or standard security cameras, lowering the barrier to entry.
A tennis ball moves at 130mph. Standard cloud AI sees a blur, not a ball. We train custom High-Velocity Object Detectors that predict the ball's path between frames.
Coaches still use pen and paper to track unforced errors. Our AI automates the "Match Report," categorizing Forehand vs. Backhand winners instantly.
Player performance data is often scattered across videos, notes, and separate tools. Our AI unifies video, biomechanics, and match stats into a single, structured dashboard—making analysis seamless and actionable.
From "pocket coaching" for apps to automated officiating for clubs.
For "Smart Court" startups. We build logic that tracks the ball's impact point relative to the court lines with <5mm margin of error, triggering audio "Out" calls automatically.
For coaching apps. Users record a serve, and our AI analyzes Knee Bend, Racket Drop, and Contact Height, comparing the skeleton against pro benchmarks to prevent injury.
For academies. We track player positioning to generate "Court Coverage" heatmaps and "Serve Placement" charts, revealing tactical patterns that simple video replay misses.
A camera running at 60fps might miss the exact millisecond of the bounce. We use Physics-Based Interpolation to draw the curve between frames and calculate the precise impact point.
We automatically detect the white lines to create a virtual 3D grid. This allows the AI to understand "In" vs. "Out" regardless of camera angle or height.
Our skeletal tracking identifies the shot type (Slice, Topspin, Volley) by analyzing the player's swing path and body posture.
The Logic Layer combines ball position + player action to score the point (e.g., "Winner," "Unforced Error," "Ace").
Folio3 AI has built an advanced tennis video analysis platform that leverages computer vision, pose estimation, and ball tracking to analyze player performance, optimize stroke mechanics, and deliver real-time match insights. Key Outcomes Improved performance through stroke and movement analysis Increased accuracy with AI-driven technique insights Real-time match analytics and shot tracking Data-driven coaching with automated reports
Use AI tennis video analysis to break down every rally, track performance, and uncover hidden patterns that elevate player strategy and results.
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
of Experience In the AI Domain
Delivered Worldwide
Client Satisfaction
Founded
Response Guaranteed
+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
