VisionTrack has added an AI-powered post-analysis process to its video telematics offering. NARA (Notification, Analysis and Risk Assessment) is used to assess onboard camera footage and help operators to reduce road deaths and injuries, according to the company.
The NARA NARA software provides proactive risk intervention and accurate incident validation, according to Richard Kent, president of global sales.
“NARA proactively removes false positives and monitors driver behavior, without the need for human involvement,” he said in a statement.
NARA is device agnostic so can be integrated with existing connected vehicle technology and adds another layer of analysis to AI vehicle cameras, according to the company. It uses computer vision models with sensor fusion to assess footage of driving events, near misses, and collisions. This ensures that the review process is manageable and timely, according to the company, and eliminates 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 logistics fleet 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. As a result, the company is now targeting more efficient risk management, according to VisionTrack.
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 bumps.
Source: VisionTrack
