On-device AI detects risks during unmanned hours right on site — no cloud round-trip — and transmits only de-identified safety logs.
Every inference completes on the edge device inside the venue. Video never leaves the site — only safety signals travel.
On-site devices capture falls, equipment accidents, and anomalies in real time from millimeter-level spatial data. Raw RGB frames are discarded immediately.
Pose-signature AI instantly classifies and clusters risk from grade A (critical) to F (normal).
Risk events reach owner and HQ consoles within 0.1 seconds, with a four-stage response kanban tracking every action taken.
The Fit-Edge console in live operation — anomaly clusters (A critical to F normal), a four-stage response kanban, an incident labeling queue, and 3D unified monitoring, all on one screen.
Fitness facility monitoring method and device using video recognition and AI
Patent No. 10-2786321 · Registered Mar 20, 2025
No video, faces, or names are stored or transmitted. The camera doesn't "watch" — it detects.
SHA-256-based pose_signature pseudonyms with ε-differential-privacy noise applied.
Only the minimal event metadata required for monitoring is graded, recorded, and delivered.
From PoC to on-site deployment, we walk the validation journey with you.