EDGE3 Technologies, a leading supplier of machine vision, deep learning, and artificial intelligence (AI) technologies, announced the commercial launch of a new platform: CloudDETECT. This cloud-based AI solution leverages the existing camera equipment
that may already be installed in commercial trucks, transit or rail fleets and analyzes driver recorded video to assess driver performance. It identifies unsafe behaviors so that fleet managers may proactively improve overall fleet safety.
Driver distraction is far more prevalent than accident-only data suggests, increasing by as much as 46% since 2013, according to EDGE3. In an effort to mitigate the increased risk, commercial fleets have been installing in-cabin cameras to assist accident investigations and facilitate insurance claim assessments.
However, because it is far too costly and time consuming to review all of the driver footage, the overwhelming majority of the video is never viewed unless there is a traffic incident. Unfortunately, the unviewed footage contains a wealth of information about driver
behavior, both good and bad, that may help inform fleet managers about the safe operation of their vehicles and how best to improve overall driver performance.
With the introduction of the AI-powered analytics of CloudDETECT, fleet managers now have the ability to analyze 100% of all recorded operator video. The CloudDETECT platform not only reveals the prevalence of certain types of distractions across the fleet, but also provides a method to quickly sort and search these lengthy videos, identifying specific behaviors of interest including:
Hands Off Wheel
Eyes off Road
Drinking
Smoking
Texting
Cellphone Use
Reaching Around in Cabin
Eating
Customer Defined
