Engineering · AceSense
AceSense vision engineering
Deep dives into tennis event detection, confidence-aware measurement, GPU job reliability, benchmarking, and production integration.
Building a failure-aware tennis vision pipeline from one phone camera
How validation, court geometry, ball and player tracking, pose, shot detection, and immutable publication keep uncertainty visible.Read article →Benchmarking tennis video analysis without a vanity accuracy number
A reproducible protocol for calibration eligibility, event precision and recall, tracking quality, confidence, latency, and failed sessions.Read article →Integrating AceSense REST and MCP analysis in production
A secure asynchronous workflow for live pricing, owner keys, create-only upload, bounded polling, result retrieval, and cleanup.Read article →