Netradyne added three new artificial intelligence deep-learning features to its Driveri platform, including Traffic Light Detection, Relative Speed Determination and Pedestrian Identification.
The Driveri platform uses artificial intelligence to analyze on-vehicle video to help drivers and fleets improve performance and understand driving conditions. The new features offer greater driving situational visibility.
Traffic Light Detection: By recognizing traffic signals, and what color light they are displaying, fleets get a more robust driving view than they would get from systems that only record based on an inertial-based trigger.
Relative Speed Determination: Driveri analyzes every minute of every driving hour — computing the vehicle's speed against the flow of traffic — providing visibility into potential unsafe speed variances based on road conditions.
Pedestrian Identification: The platform can now detect proximity of pedestrians to the vehicle, improving risk analysis.
The Fleet Safety Management Center lets fleet managers instantly access video events that have been transmitted based on preconfigured parameters. In addition, EventAccess lets fleet managers remotely access video events stored on the Driveri platform. EventAccess lets fleets respond to immediate inquiries regarding claims, inquiries, and customer service requests.
Fleet managers can query the Driveri dashboard and search video events by driver, vehicle, date, time and location. Results are displayed in an easy-to-view interface.
The system has been added to light-duty vehicles in Classes 1-3, including Lincoln Town Cars in the livery industry, Chevrolet Express extended length vans for retail service, and heavy duty pickups used in infrastructure repair, according to the company.
Originally posted on Automotive Fleet