# Court Vision

> Computer vision basketball analytics platform for shot tracking and player movement insights.

Case 01 of 03. Technologies: React Native, TensorFlow Lite, Flask, WebSockets, AWS EC2.

## Brief

Turn basketball footage into practical, coach-friendly signals for reviewing shots, movement, and possession.

## Approach

Extract event-level patterns from video, then organize the results in a focused visualization layer for fast game review.

## Technical focus

Computer-vision analysis, event pipelines, movement trends, and readable sports analytics.

## Results

- 89% shot-detection accuracy
- <200ms on-device inference latency

## Links

- [Repository](https://github.com/bthaas/CourtVision)
- [All projects](https://www.bretthaas.com/projects)
- [Next project: Beat Stream](https://www.bretthaas.com/projects/beatstream)