Computer Vision
Featured ProjectTennis Pro Analytics
Tennis Pro Analytics is an AI-powered tennis match analysis system that watches match footage and extracts what's happening — player positions, ball trajectory, court coverage, and shot speed. YOLO26 handles player tracking with ByteTrack, TrackNet catches the ball, and Kalman filtering smooths out the physics. The system generates side-by-side video with trajectory analysis, JSON stats, and CSV trajectory data for further analysis.
Project Duration
Jan 2026 — Jan 2026
Client
Open Source ProjectNDA
Key Features
YOLO26 player detection with ByteTrack
TrackNet ball trajectory detection
Court detection with homography mapping
Physics-aware trajectory smoothing
Player position heatmaps
Rally count and ball speed analysis
Technology Stack
PythonYOLO26TrackNetOpenCVKalman FilterByteTrackDeep Learning
Project Metrics
30+
fps
Real-time
tracking
JSON/CSV
export
Search Demand
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