Buying Guide: VisionTrack A game changer

Improve the safety of all road users with VisionTrack’s post-analysis AI solution

NOTIFICATION, ANALYSIS AND RISK ASSESSMENT

Video telematics specialist

VisionTrack is transforming commercial fleet safety with the launch of an AI-powered post-analysis solution. NARA (Notification, Analysis and Risk Assessment) will revolutionise how vehicle camera footage is assessed and help operators to reduce road deaths and injuries.

Real Savings

VisionTrack president of global sales Richard Kent (right) says: “Our cloudbased 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.

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

NARA is device agnostic, so it can be integrated with existing connected vehicle technology – either VisionTrack or thirdparty hardware – making it ideal for any new or existing video telematics solution.

The software also adds another powerful layer of analysis to AI vehicle cameras, installed with edge-based AI technology, which are often limited by the processing capacity of the device.

NARA represents a huge step forward for video telematics as it uses computer vision models with sensor fusion to assess footage of driving events, near-misses and collisions. This ensures the review process is manageable and timely, while eliminating human availability or error, so operators can make best use of video telematics insight to better protect road users and help prevent collisions.

During the testing phase, a 1,100strong logistics fleet was found to be generating on average 2,000 priority videos a week, which would typically take more than 8 hours to review. NARA reduces the time needed to review events that require human validation to just minutes per day. As a result, the company is now targeting more efficient risk management, while supporting its road safety strategy.

Vehicle Types

Advanced object recognition uses deep learning algorithms to automatically identify different types of vehicles, cyclists and pedestrians. With incredibly high accuracy levels, it will be able to distinguish between collisions, near misses and false positives that can be generated by harsh driving, potholes or speed humps.

The software will also include an Occupant Safety Rating that uses a range of parameters to calculate the percentage probability of injury and immediately identify if a driver needs assistance.

“As a true advocate of road safety, having already pledged our support to global initiative Vision Zero, we are passionate about helping the industry achieve its target of eliminating all traffic fatalities.

“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, Autonomise.ai, and AI video telematics solutions,” concludes Kent.

For more info, go to visiontrack.com; email info@visiontrack.com; or call 01246 225745