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AI & Sensor Fusion

Motive launches AI-powered driver safety features to predict accidents before they happen

Zahra AwanBy Zahra AwanDecember 10, 20253 Mins Read
A screenshot of the AI-powered Lane Swerving Detection system by Motive, with vehicles driving along a quiet highway on a sunny day
AI-powered Lane Swerving Detection
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Motive has unveiled artificial intelligence-powered Lane Swerving Detection, Smoking Detection and Forward Parking detection as part of a set of new AI driver safety capabilities designed to detect early and reliable predictors of high-risk driving. The capabilities have been developed to give drivers and organizations real-time visibility into behaviors that can frequently precede severe roadway incidents, enabling faster intervention and preventing collisions before they happen.

“The road-safety crisis has been escalating for years, and it demands new technology that evolves just as quickly,” said Hemant Banavar, chief product officer at Motive.

“We’re rolling out advanced AI models, at a rapid pace to help surface early and reliable signs of danger before they become catastrophic. With new capabilities like repeated lane swerving detection, smoking detection and forward parking detection, behaviors that were previously unnoticed can now be detected in real-time so drivers and managers can address risks and prevent collisions.”

Lane swerving detection

Lane swerving is a factor in 79% of fatigue-related collisions. Available with all AI dashcams, lane swerving detection is designed to identify repeated lane swerving and send real-time alerts to managers, with alerts to drivers coming in a future release.

By flagging three or more swerves within five minutes at speeds above 50mph and compiling them into a single, clear safety event timeline, managers can get a holistic look at repeated risky behavior in a short window, which can make it easier to understand driving patterns, coach drivers quickly and prevent fatigue and distraction-related collisions.

AI-powered Forward Parking Detection
AI-powered Forward Parking Detection

Smoking detection

Studies show higher smoking rates correlate with increased vehicle deaths, with the act of lighting, holding and disposing of a cigarette taking a driver’s hands off the wheel and eyes off the road for an average of 12 seconds. Smoking can be especially dangerous in hazmat operations, dramatically increasing the risk of collisions, fires and other incidents. Featured with the motive dual-facing AI dashcam, the new Smoking Detection capability has been designed to automatically detect when a cigarette is in a driver’s hand or mouth for more than five seconds while the vehicle is moving at 5mph or more and sends immediate in-cab alerts to discourage smoking. Alerts are also sent to safety managers for timely follow-up and enforcement.

AI-powered Smoking Detection
Motive AI-powered Smoking Detection

Forward parking detection

Forward parking is a frequent cause of low-speed collisions. Nearly 9% of pedestrian deaths in parking lots occur during vehicle backup incidents. Available on all AI dashcams, Forward Parking Detection has been designed to detect when a vehicle reverses out of a spot after parking head-first, which can help organizations enforce safer parking practices and reduce collisions. Real-time alerts notify managers for follow-up coaching, while drivers can review events in the Motive Driver app to self-correct and reinforce safer habits.

“Safety is our top priority,” said John Riddle, regional safety manager at The Dana Companies. “Motive’s industry-leading, accurate AI monitors and protects drivers and the new detection capabilities will help prevent more collisions. Before Motive, we never even saw some of these behaviors – unsafe lane changes, tight following distance. Now we can coach on it before it becomes a problem.”

In related news, GMV adds Anyverse’s synthetic data expertise to its in-cabin monitoring

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