PPE Detection

About this solution

Computer vision model trained by Neural to identify, on each worker, the presence or absence of Personal Protective Equipment — coveralls, gloves, safety glasses, masks and face shields — using the cameras already installed. Each non-compliance triggers an alert with photographic evidence and feeds safety metrics by area, shift and team.

1. 1The cameras (RTSP/IP) send images to the on-premises or cloud inference server.
2. 2The YOLO model detects people and each PPE item (or its absence) in milliseconds.
3. 3A tracker associates detections with each worker to avoid duplicate alerts.
4. 4Per-area rules define which PPE is mandatory (e.g. hard hat and vest on the construction site).
5. 5Alerts with photos are sent to the safety officer (dashboard, email, WhatsApp, webhook).