YAFE uses computer vision workplace safety technology to continuously analyze plant CCTV and identify sudden worker slips, trips, falls, or prolonged inactivity. When a fall occurs, the system instantaneously triggers audible hooters, strobes, and emergency alerts. Integrate alongside emergency safe assembly headcounts and PPE compliance monitoring for end-to-end personnel protection.
YAFE continuously tracks worker spatial vectors, vertical acceleration, and body orientation on the floor.
Detect and track personnel walking through remote warehouse aisles, chemical storage bays, and isolated tanks.
Calculates downward velocity and sudden orientation shifts from upright stance to horizontal ground contact.
Distinguishes deliberate kneeling, bending, or sitting from genuine accidental worker falls to eliminate false alarms.
Sends immediate WhatsApp, SMS, buzzer triggers, and automated telemetry alerts to plant emergency responders.
In large manufacturing complexes, workers frequently perform tasks alone in remote boiler rooms, electrical substations, or quiet warehouse corners. Without automated AI vision, an injured worker may lie helpless for hours before discovery.
An intelligent AI vision pipeline analyzing video frames on-premise without cloud latency.
Live RTSP streams from factory overhead cameras are fed into the YAFE edge server.
Vision models extract key human skeletal points (head, hips, knees, ankles) at 60 FPS.
Algorithms monitor rate-of-fall and ground orientation to confirm true impact.
Monitors post-fall immobility to assess severity and eliminate false trips.
Instantly triggers alarms, control room alerts, and medical responder dispatches.
Protect isolated plant technicians with continuous video analytics and automated incident dispatch.
Personnel operating in remote boiler rooms, tank farms, or cold storage cannot always trigger wearable distress alarms during a severe accident. YAFE acts as autonomous lone worker monitoring software and an end-to-end lone worker monitoring system that requires no manual check-ins.
By integrating advanced slip trip and fall detection AI with real-time lone worker tracking, YAFE eliminates the vulnerabilities of conventional lone worker protection devices. This next-generation lone worker technology delivers instant, hands-free emergency notification to medical responders the second an operator collapses or remains motionless.
AI computer vision safeguarding emergency evacuation egress routes and CCTV monitoring uptime.
Pallets, crates, or equipment placed in front of emergency doors violate OSHA standards. YAFE inspects all fire exits 24/7 and triggers an immediate warning if a blocked fire exit occurs, enforcing strict do not block fire exit safety zones. Read our guide on AI lone worker monitoring and slips, trips, and falls prevention.
Traditional aspirating smoke alarms can take minutes to trigger in high-ceiling manufacturing halls. Our edge-powered fire and smoke detection AI spots plume dynamics and flame flickering in seconds, enabling prompt evacuation.
Ensure continuous safety oversight with automated camera tampering detection. Learn how our edge video analytics pipeline guarantees uninterrupted vision stream integrity.