I will do ai table tennis player movement and footwork analysis system

I will develop an AI table tennis player movement analysis system that evaluates footwork, positioning, and reaction speed using computer vision. This service focuses on the physical side of performance often missed by traditional analysis.

The AI tracks player movement across the table, measuring lateral displacement, recovery time, and positioning efficiency during rallies. Reaction time to ball direction changes can also be estimated from motion patterns.

This analysis is especially useful for training optimization, injury prevention, and performance consistency. Results are delivered through annotated video overlays, movement maps, numerical metrics, and summarized reports.

The system works with single-camera video and supports repeated use across sessions to track improvement over time. It is suitable for players of all levels, from youth to elite.