Task
Add automatic detection to existing video surveillance for events that are difficult to monitor manually: PPE use, falls, loss of consciousness, absence from a work zone, unsafe actions, and selected procedural violations.
Computer vision for detecting violations, hazardous events, and deviations in production processes.

Add automatic detection to existing video surveillance for events that are difficult to monitor manually: PPE use, falls, loss of consciousness, absence from a work zone, unsafe actions, and selected procedural violations.
The solution connects to existing IP cameras and NVRs, processes video locally, and applies models configured for the rules of each facility. Its modular architecture supports new scenarios, API integration, and scaling.
The pilot recognizes PPE, people and poses, falls, and selected action types. Context rules distinguish meaningful events from normal activity, while local processing keeps video inside the enterprise infrastructure.
Video becomes a source of structured events for safety and production teams. The system helps detect and record deviations without constant manual observation of every camera.
Tell us about the facility, the current system, and what needs to change. We will clarify the details and suggest the next step.