PPE detection and safety monitoring on your existing cameras
Most industrial sites already run CCTV. We turn those RTSP feeds into a real-time safety layer. It flags missing PPE and zone intrusions, with nothing new to install.
- A look at your setup and problem
- A straight answer on whether AI fits
- No hard sell
Systems behind this service
Built and deployed at an industrial AI lab · client anonymized
PPE and danger-zone monitoring
- Challenge
- Safety compliance relied on manual spot-checks that miss violations between rounds.
- What we built
- PPE and danger-zone detection on live RTSP feeds, with per-person tracking and automated alerts.
- Result
- Continuous monitoring on every camera, every shift.
What we build
PPE compliance, watched continuously
Hard-hat and safety-vest detection runs on every frame, on every camera, every shift — not the handful of moments a supervisor happens to be looking. When someone enters a zone without the required protective equipment, the system flags it in real time, so a near-miss becomes an alert instead of an incident report.
Restricted-zone and intrusion alerts
Define no-go areas — around moving machinery, edges, or live equipment — and the system raises an alert the moment a person crosses into them. It is the kind of always-on vigilance a fixed sensor cannot provide and a human cannot sustain across a twelve-hour shift.
People and vehicle tracking
Per-person and per-vehicle tracking across your camera network supports headcount, flow analysis, and forklift-versus-pedestrian safety — all on the infrastructure you already own.
No new hardware — it runs on the cameras you have
The single biggest objection to safety vision is rip-and-replace cost. There is none here: we ingest your existing RTSP/CCTV streams into a GPU inference server. If a camera produces a video feed, we can work with it.
Built for the real floor, not the demo
Dust, glare, backlight and occlusion break models that look perfect on a clean clip. We validate against the conditions that actually occur on your site and monitor for drift, so the system stays reliable long after go-live. This is work we have built and deployed at an industrial AI lab — client anonymized.
- PPE detection
- hard hat & vest
- restricted zones
- intrusion alerts
- people tracking
- vehicle tracking
- RTSP / CCTV
- GPU inference
- no new hardware