Driver Fatigue
FDM1 · Detects closed eyes, yawning and signs of drowsiness in real time
About this solution
Facial monitoring of drivers and operators to identify signs of fatigue and microsleep — eyes closed for a prolonged time, rising PERCLOS, frequent yawning — sounding alarms and notifying the control room before an accident happens.
- 1The face mesh (468 points) is computed on every frame.
- 2The EAR (Eye Aspect Ratio) measures eye openness with a per-person adaptive threshold.
- 3PERCLOS indicates the percentage of time with eyes closed (NHTSA standard for drowsiness).
- 4MAR detects yawns; the combination of signals determines alert, fatigued or drowsy.
Benefits
- Prevents accidents caused by drowsiness — up to 20% of serious road accidents.
- Immediate alerts at the workstation and in the monitoring center.
- Fatigue metrics by shift for working-hours management.
More demos
Logistics & Mobility 1 videoVehicle Traffic
FDV1
Counting and classification of cars, motorcycles, buses and trucks
Logistics & Mobility 2 videosBlack Smoke from Vehicles
FPV1 · FPV2
Color and darkness (Ringelmann) of exhaust smoke from trucks and buses
Logistics & Mobility 1 videoPedestrians in Forklift Routes
PRE1
Alerts when people enter hazardous or restricted areas
5 alerts triggered

