Teletrac Navman Enhances AI-Powered Dashcam SolutionToday 10:37
Looks like SEE. Uses the terminology & the pic looks like guardian unit?
HVIA member Teletrac Navman has added driver distraction, cell phone usage and drowsy driver detection to its AI-powered dashcam and video telematics solution, the IQ Camera.
Chief Product Officer Andrew Rossington says AI-powered video telematics solutions leverage advanced algorithms to monitor different aspects of driver behaviour.
“By seamlessly integrating driver positioning, facial and physiological measurements, alongside driver assistance metrics that analyse and detect outward-facing actions like following distance, lane adherence, and harsh manoeuvring, these devices provide real-time alerts and insights to reduce the likelihood of incidents and promote the well-being of drivers,” he says.
The IQ Camera’s video telematics capabilities can identify behaviour, such as mobile phone use, erratic head movements and gaze deviations, and help the driver maintain focus on the road.
For driver fatigue, continuous monitoring of physiological indicators, such as eye closure duration and head position, triggers timely alerts to combat drowsiness and fatigue-related collisions.
The system’s drowsy driving detection feature addresses the critical issue of driver fatigue by analysing eye closure duration to detect signs of drowsiness, providing timely alerts.
When considering distracted driving action, there are two primary types of behaviour to detect – ‘owl’ and ‘lizard’ motions.
‘Owl’ motions are where the driver is physically turning their head toward any direction – up, down, left, or right. If the difference in orientation is significant over a duration of time, a distraction alert is created.
‘Lizard’ distraction is when the driver’s gaze is pitched away from the road ahead without a change of pose to the head. This type of distraction is primarily detected based on the duration the eyes appear to be off the road ahead.
https://hvia.asn.au/teletrac-navman-enhances-ai-powered-dashcam-solution/