Accidents can happen, in the blink of an eye
Drowsiness and Attentiveness Algorithm for Driver Monitoring Systems
Drowsiness and Lack of Attentiveness – Key driver safety issues
Optalert focuses on the driver, not just the car, and importantly it can detect when a person is more at risk of becoming drowsy or not paying attention. This gives the driver time to take remedial action, before a dangerous situation turns into an accident.
Optalert technology is the only objective measure, capable of quantifying eye and eyelid movements. Rich data sources enable biomarkers of drowsiness to be captured, and a driver’s eyes to be tracked to accurately determine when their eyes are not on the road in front of them.
Drivers can now have a real time measurement of drowsiness/attentiveness through leading edge technology.
- Best practice safety solution and early warning drowsiness detection
- Patented JDS scale used for objective measurement of drowsiness
- Eyes on Task and Attentiveness measurement for next level driver monitoring
Competitor methods use PERCLOS, a method that detects microsleeps, in many cases simply too late to warn the driver.
Symptomatic Issues of PERCLOS methods:
- Not a direct measurement of real drowsiness
- Detection of yawning, eyes closed
- Detects micro sleeps as they occur
- Alert to driver is only once they are already in danger
- Susceptible to false positives
Optalerts method is the next level of measuring drowsiness. Utilising a scientifically validated scale (JDS) the earliest signs of drowsiness are able to be objectively quantified.