VisionTrack's NARA uses AI to detect bad driving

George Barrow
February 8, 2023

Video telematics specialist VisionTrack has launched a new AI-powered analysis system.

The new NARA (Notification, Analysis and Risk Assessment) software is a cloud-based monitoring system, detecting driver behaviour without the need for a fleet manager to react to each reported incident. VisionTrack says it will “revolutionise how vehicle camera footage is assessed and help vehicle operators to dramatically reduce road deaths and injuries”

NARA is device agnostic so can be integrated with an existing camera system from third parties.

“Our cloud-based NARA software is a true game changer in the world of video telematics as it will help save time, costs and most importantly lives, by providing proactive risk intervention and accurate incident validation,” explains Richard Kent, president of global sales at VisionTrack.

“NARA proactively removes false positives and monitors driver behaviour, without the need for human involvement. With traditional video telematics solutions, commercial fleets can be experiencing hundreds of triggered daily events, so this will enable them to deliver more efficient working, whilst not compromising on road safety,” he added. 

NARA is said to use “ground-breaking computer vision models with sensor fusion” to assess footage of driving events, near misses and collisions, ensuring the review process is manageable and timely.

During the testing phase, a 1100-strong logistics fleet was found to be generating on average 2,000 priority videos a week, which would typically take someone over 8 hours to review. NARA reduced the time needed to review events that require human validation to just a few minutes per day.

The system’s advanced object recognition uses deep learning algorithms to automatically identify different types of vehicles, cyclists and pedestrians. It is able to distinguish between collisions, near misses and false positives from harsh driving, potholes or speed humps, and return an Occupant Safety Rating that calculates the percentage probability of injury and immediately identify if a driver needs assistance.

“Our vision is to create a world where all road-users are kept safe from harm, so we are embracing the latest advances in machine learning and computer vision to further enhance our industry-leading IoT platform,, and AI video telematics solutions,” added Kent.

About the Author


George Barrow

George has been writing about nearly anything with wheels for the past 15 years and is the UK jury member of the International Van of the Year and International Pick-Up Award.

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