A world first
Up to 30% of road fatalities are attributed to drowsy driving. Optalert’s predictive and objective technology is working towards reducing that figure.
Fatigue monitoring vs drowsiness detection
While these two terms sound similar enough, the difference with Optalert's technology lies within its predictive nature.
Other fatigue monitoring systems often work subjectively, and react after an incident has occurred or an operator has already entered the state of drowsiness. While these systems can respond quickly, it still takes an incident to illicit any such response.
Optalert, on the other hand, uses scientifically-proven technology to actually determine when an incident of drowsiness is likely to occur.
The key lies in Optalert’s patented Johns Drowsiness Scale (JDS™) that uses a simple 1-10 scale to inform a user of his or her state of alertness accurately in real time. The JDS™ is a world-standard method using data collected by a user’s eyelid movement, or blink.
Objectively identify drowsiness
Customer-based data from 24-hour operations around the world consistently reveal JDS™ scores and in-cab drowsiness warnings closely resembling the known circadian rhythm of alertness and drowsiness.
This information provides drivers, managers and companies with objective information regarding the times of the day when drivers are most at risk of fatigue-related incidents.
The risk of such incidents is typically found to be greatest during night shift, particularly during the early hours of the morning. These patterns of driver risk are also consistent with the known relative risk of truck fatalities for each hour of the day.