Sunday, April 22, 2018

Netradyne introduces 3 new features to Driveri platform


Monday, November 7, 2016
by THE TRUCKER NEWS SERVICES

The Driveri platform's detection, causality and reasoning capabilities are computed at the vehicle level where fleets can accurately recognize strong results or reinforce best practices to cultivate a more collaborative relationship between the driver and the fleet manager. (Courtesy: NETRADYNE)
The Driveri platform's detection, causality and reasoning capabilities are computed at the vehicle level where fleets can accurately recognize strong results or reinforce best practices to cultivate a more collaborative relationship between the driver and the fleet manager. (Courtesy: NETRADYNE)

SAN DIEGO —  Netradyne, a provider of artificial intelligence, has released three new artificial intelligence deep learning features to the Driveri platform, including traffic light detection, relative speed determination and pedestrian identification.

Driveri has been developed to capture every moment and aspect of the driving experience, rather than a small sample of triggered data, further protecting each driver, fleet manager, and the fleet's brand reputation, according to Avneesh Agrawal, Netradyne's Co-Founder and CEO.

The Driveri platform's detection, causality and reasoning capabilities are computed at the vehicle level where fleets can accurately recognize strong results or reinforce best practices to cultivate a more collaborative relationship between the driver and the fleet manager, Agrawal said.

These new features provide drivers and fleet managers with greater driving situational visibility.

  • Traffic light detection. Through the accurate detection and recognition of traffic lights, fleets gain valuable insight into their routes, capturing a more robust driving view in the absence of an inertial-based trigger.
  • Relative Speed Determination. Driveri analyzes every minute of every driving hour — computing the vehicles speed against the flow of traffic — providing visibility into potential unsafe speed variances based on road conditions
  • Pedestrian Identification. Expanding on Netradyne's comprehensive deep learning portfolio, the platform can now detect proximity of pedestrians to the vehicle, improving risk analysis.

Agrawal  said the Fleet Safety Management Center enables fleet managers to instantly access video events that have been transmitted based on preconfigured parameters.

In addition, EventAccess delivers fleet managers the ability to remotely access video events that are stored on the Driveri platform.

EventAccess further enables fleets with the ability to respond to immediate inquiries regarding claims, inquiries, and customer service requests.

Fleet Managers can quickly query the Driveri dashboard and search video events by driver, vehicle, date, time, and location. Results are displayed in an easy-to-view interface allowing for quick responses and immediate inquiry resolution.

“We are pleased that the Driveri platform continues to evolve and offer greater visibility and value to our customers,” Agrawal said. “Through the application of Deep-Learning, fleets are provided with a wider view into the driving environment, allowing for more complete context around the conditions that the fleet is operating under and ultimately making the fleet safer in those driving conditions.”

The Driveri platform offers fleets a significant technology differentiator over legacy safety systems, counting safe driving as safe driving and not making fleet managers guess as to what they are missing, Agrawal said.

 

The Driveri platform's detection, causality and reasoning capabilities are computed at the vehicle level where fleets can accurately recognize strong results or reinforce best practices to cultivate a more collaborative relationship between the driver and the fleet manager. (Courtesy: NETRADYNE)

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