San Diego,  CA 
United States
  • Booth: 36

The Netradyne Driveri® vision-based driver recognition fleet safety program leverages Artificial Intelligence and Edge Computing to improve driver performance and positively recognize great driving in real-time. By capturing every moment of the driving experience rather than a small sample of triggered data, Driveri protects your drivers and brand while engaging and rewarding drivers.

Brands: Driveri®


Driveri 1 Minute Overview

 Press Releases

  • Leverages computer vision, edge computing and crowd-sourcing; represents 1.8 million unique miles in the US, 66 percent of all paved roads in the US

    SAN DIEGO, July 21, 2020 /PRNewswire/ -- Netradyne, a leader in artificial intelligence (AI) and edge computing focusing on driver and fleet safety, today announced that Driveri®, its vision-based driver recognition safety program, has mapped data from vehicles traveling more than 1 billion miles on US roads, including 1.8 million unique miles, more than any other vision-based driving system. This data is collected by the Driveri system deployed in fleet vehicles around the US, driven by professional drivers and includes numerous passes over the same roads to provide deeper insights into how driving and different road conditions may change in hours, days and weeks, not mapped over the course of many years.

    The Driveri system leverages a 4-camera system looking both within and outside the vehicle, continuously analyzing driving scenes and road data while monitoring drivers for driving behavior using AI embedded directly into the edge computing device. It captures diverse roads and traffic scenarios such as commercial driveways, temporary road closures, frontage roads, school zones and more.

    "In addition to mapping more than a billion miles, we are creating a unique database from which to study the trends and patterns regarding accidents and changing roads," said Avneesh Agrawal, chief executive officer of Netradyne. "This rich data not only is critical for fleet companies and insurers to make our roads safer, but ultimately this data will be immensely valuable to the systems of autonomous vehicles, where the training data is imperative. Lives literally are at stake, our data can be used to help train AV ecosystems which currently must rely on pricey surveys, specialized equipment, and human review; rather, they can lean on the data collected by our Driveri platform in order to gather real-time insights and alerts that will improve safety and optimize overall fleet operations. The more miles humans are safely able to drive today will help the autonomous vehicles of the future drive safely, but only if we have the data to use to train those future systems."

    Netradyne's dynamic maps are generated in real-time and crowd-sourced from Driveri devices that are deployed in commercial vehicles. Using proprietary real-time computer vision algorithms on the edge, and crowd sourcing in the cloud Netradyne is able to generate and rapidly update maps without requiring any human intervention.

    To learn more about Netradyne, visit

    About Netradyne, Inc.

    Founded in 2015, Netradyne leverages global technology centers in San Diego and Bangalore to push the boundaries of intelligent connectivity. Our world-class team of scientists are developing key Intellectual Property in the areas of computer vision, deep learning, edge computing, and predictive analytics to accelerate the evolution of the Industrial Internet of Things (IIoT), driving meaningful advances in the transportation ecosystem. For more information about Driveri® or to inquire about commercial vehicle safety tools, please visit


  • Driveri®
    Netradyne’s vision-based Driveri® safety solution combines Video, Artificial Intelligence, and edge computing to help fleets improve driving performance with real-time alerts, positive driving feedback and best practice identification.

  • Netradyne’s vision-based Driveri® is the most advanced fleet safety camera solution, with AI and Edge Computing embedded in the device to capture and analyze data immediately, creating timely alerts for avoiding risky situations. This removes the guesswork and equips managers with the complete safety picture and straightforward reports. Drivers receive recognition for good driving and gain visibility to risky driving behavior along with suggestions for improvement.

    GreenZone® is the industry’s first driver score built on positive driving, versus solely focusing on negative events. The Driveri mobile app dynamically calculates the GreenZone score, comparing it to fleet average and notifying drivers when they reach milestones. Drivers can self-coach by reviewing key events with accompanying suggestions on how to improve performance and increase their score.

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