Distracted driving accounts for ~ 25% of all motor vehicle crash fatalities. In the US alone, 9 people are killed each day as a result of crashes involving a distracted driver.
It takes only 3 seconds after a driver’s attention has been diverted from the road for an accident to occur. Distractions are caused by many factors including:
- mobile phones
- checking emails/social media
- reaching for item across the interior of the car
- adjusting car settings – radio, temperature etc
- grooming – hair/makeup/shaving
- talking to passengers
You are distracted any time your eyes are off the driving task.
Optalert technology objectively measures and detects drowsiness in its earliest stages. Optalert’s solutions monitors the driver’s attentiveness to provide the next level in driver safety. Utilising a combination of imaging sensors, software and algorithms, drivers can now be equipped with advanced warning of drowsiness and measurement of their attentiveness through eyes on task tracking.
Eyes on Task (EoT)
Optalert’s monitoring of driver attentiveness goes well beyond the minimal detection of the driver’s gaze being distracted from the road.
By customizing the measurement parameters to the specific environment of a vehicle, Optalert monitors the attentiveness state of a driver by taking into account the driver’s activity and the vehicle and its surroundings. Speed of the vehicle, braking activity, external obstacles, dangerous sections of a road and lack of visibility caused by time of day or weather conditions are all factors that may be used to determine a minimal level of required attentiveness.
Uniquely, Optalert’s attentiveness monitoring also factors in the drowsiness of the driver based on our proprietary Johns Drowsiness System (JDS) measure. In addition, an attentive driver does not always have their eyes on the road. Mirror checks and shoulder turns are all behaviours that may be penalized by a less sophisticated measure and potentially lead to false positive warnings.
Optalert’s attentiveness monitoring system is based on an Eyes on Task (EoT) measurement state. This takes into account visually oriented tasks beyond the principal activity of keeping the driver’s eyes on the road. This also provides for accounting for the peripheral vision and is a robust basis for the inclusion of external factors from an ADAS system. EoT profiles may be developed for any vehicle interior and scaled up according to the availability of external input. Beyond a time based gaze warning, it offers to build a model of the driver’s true awareness of their dynamic situation of controlling a motor vehicle in motion.
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