VisionTrack, an AI video telematics and connected fleet data specialist, is transforming commercial fleet safety with the launch of an AI-powered post-analysis solution. NARA (Notification, Analysis and Risk Assessment) is designed to support safety for vehicle operators through video camera footage assessment.
NARA is device agnostic and can be integrated with existing connected camera technology – whether VisionTrack or third-party hardware. It adds a layer of analysis to AI vehicle cameras, installed with edge-based AI technology, that are often limited by the processing capacity of the device.
“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,” explained Richard Kent, president of global sales at VisionTrack. “NARA proactively removes false positives and monitors driver behavior, 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, while not compromising on road safety.”
NARA uses computer vision models with sensor fusion to assess footage of driving events, near misses and collisions. This review process eliminates human availability or error.
During the testing phase, a logistics fleet consisting of 1,100 vehicles was found to be generating on average 2,000 priority videos a week, which would typically take someone over eight hours to review. NARA reduced the time needed to review events that require human validation to just minutes per day.
Advanced object recognition uses deep learning algorithms to automatically identify different types of vehicles, cyclists and pedestrians. It can distinguish between collisions, near misses and false positives 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 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 and AI video telematics solutions,” said Kent.
