AI Video Telematics Innovation for Road Safety

VisionTrack (stand 5E80) is continuing to deliver ground-breaking road safety benefits with the launch of an AI detection camera at the Commercial Vehicle Show, Birmingham 2023. The VT650-AI will eliminate HGV blind spots around the vehicle and enable complete 360-degree visibility to better protect vulnerable road users (VRUs). It is part of the company’s growing range of AI-powered video telematics solutions that provides the most comprehensive risk detection and intervention (RDI) currently available.

“Traditional proximity sensors warn of a nearby road user, but typically alerts can be triggered by street furniture such as lamp posts, bollards, road signs and bins, which risks the driver becoming complacent and taking less notice of alarms,” explains Richard Kent, President of Global Sales at VisionTrack. “The best way to avoid this alert fatigue is to take advantage of intelligent and high precision AI cameras that keep the driver engaged with accurate and useful information.”

The intelligent and high-precision AI VRU detection camera is suitable for an HGV’s front, side or rear using deep learning technology to detect pedestrians, cyclists, motorcyclists and people on scooters, while disregarding street furniture. With configurable safety zones, all angles can be covered, providing the precise location of nearby VRUs in relation to the vehicle. Footage is automatically displayed on an in-cab monitor, and supplemented with an audible, spoken warning.

“We are creating a unique AI-powered video telematics ecosystem – using the latest edge-and cloud-based innovations – to provide unrivalled, real-time driver engagement, alongside the most accurate, timely and insightful risk monitoring and analysis. This integrated technology offering is designed to mitigate the impact of road, driver and fleet risk,” adds Kent.

Earlier this year, VisionTrack launched NARA, an AI-powered post-analysis solution that is transforming how collisions, near misses and driving events are analysed, monitored and reviewed by automatically analysing footage without the need for human involvement. The device agnostic, cloud-based software is changing how vehicle camera footage is assessed and helping road transport operators to save time, costs and most importantly lives.

VisionTrack Targets Road Safety with AI Video

Road safety will take centre stage on VisionTrack’s stand (5E80) at the Commercial Vehicle Show as it showcases a growing range of industry leading AI video telematics solutions. The company will be using the event to introduce an AI detection camera for vulnerable road users (VRUs) as well as demo its AI-powered post-analysis software, NARA, which was launched earlier this year.

“We are embracing the latest advances in machine learning and computer vision to develop innovative AI video telematics solutions for the road transport sector,” explains Richard Lane, Commercial Director of VisionTrack. “The Commercial Vehicle Show will provide us with a platform to share our technology expertise and provide guidance on how best to improve road safety and eliminate fleet risk.”

The AI-powered VRU detection camera will be able to identify pedestrians, cyclists, motorcyclists and people on scooters, while disregarding street furniture. Footage will automatically be displayed on an in-cab monitor, and supplemented with an audible, spoken warning with the precise location of nearby VRUs in relation to the vehicle. This will keep the driver more engaged by providing highly accurate and useful information.

Meanwhile, road transport operators will have the opportunity to experience AI-powered post-analysis solution, NARA, first hand, with demos running throughout the Commercial Vehicle Show. The device agnostic, cloud-based software is revolutionising how vehicle camera footage is assessed and helping vehicle operators to save time, costs and most importantly lives, by providing proactive risk intervention and accurate incident validation.

VisionTrack Launches AI-Powered Video Analysis

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

“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.”

NARA is device agnostic so can be integrated with existing connected camera technology – whether VisionTrack or third-party hardware – and adds another powerful layer of analysis to AI vehicle cameras, installed with edge-based AI technology, that are often limited by the processing capacity of the device.

NARA represents a huge step forward for video telematics as it uses ground-breaking 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 vehicle operators can make best use of video telematics insight to better protect road users and help prevent collisions.

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 minutes per day. As a result, the company is now targeting more efficient risk management, whilst supporting their road safety strategy.

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 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.

VisionTrack is a leading global provider of AI video telematics and connected vehicle data. The company’s unique approach is helping tackle some of the most complex challenges faced by the fleet, road transport and insurance sectors, providing the operational insight, business intelligence and enriched vehicle data needed to make strategic mobility decisions.

VisionTrack’s AI video telematics is underpinned by its multi-award-winning IoT platform, Autonomise.ai. This cloud-based software, combined with a wide range of intelligent camera solutions, is transforming how vehicle operations approach road safety, claims management, duty of care, fleet compliance and operational risk.

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