Fatigue
Drowsiness while driving.
Identifies physiological signs of drowsiness while the driver is driving, so you can act before attention fails.
About the risk
Fatigue
Fatigue is the decline in physical and mental capacity that builds up with long shifts, insufficient sleep, night work and sustained effort. It reduces attention and reaction time well before the worker notices.
When driving, operating machinery or performing critical tasks, a single lapse of attention is enough for an accident. Tracking physiological signals against each person's own reference lets you act before the error: a break, a task rotation, a talk with the manager.
What this scenario detects
Alerts when there are signs of drowsiness while driving.
When to use
- Drivers on long or night shifts.
- Monotonous routes with little stimulus variation.
When not to use
- Roles that do not involve driving.
Examples in the field
- FleetsLong-haul fleet on night stretches.
How it works
- 01
The sensor measures
The worker wears a compatible wearable sensor during the shift.
- 02
The platform detects
The platform compares the signals with the worker's personal reference and the scenario rules, and raises the alert at the configured intensity level.
- 03
The team handles the alert
The alert shows up in PredictVIEW's Live operation. The manager records the handling and the worker receives the guidance in the app.
Compatible sensors
- Polar 360
- Polar Verity Sense
- Polar H10
Sectors
Fleets
Reference configuration
- Trigger
- Drowsiness
- Starting intensity
- 4
Values from the standard Dersalis scenario. Each company can copy the scenario and adjust it to its operation.
Other risk scenarios
See all risks →Fatigue
Fatigue accumulated over the shift
Tracks wear over the shift and warns before attention drops.
Fatigue
Energy expenditure above limit
Warns when energy use in a time window passes the set limit.
Heat stress
Heat stress in hot areas
Alerts when heart rate and body temperature indicate a risk of heat stress.
Build your operation's risk library
Talk to an expert and see which scenarios and sensors make sense for your team's roles.