Skip to main content

Netradyne launches advanced driver assistance system, India

Provider of artificial intelligence and IoT systems Netradyne has launched its Advanced Driver Assistance Systems (ADAS) solution to help fleet managers recognize positive driver performance and enhance driver safety for commercial vehicles, in India. Called Driveri, the four-camera, vision-based system is mounted on the vehicle windscreen and provides real-time audio alerts to the driver when a vehicle collision is imminent. Driveri also monitors and alerts the driver for drowsiness or inattention and is
December 11, 2017 Read time: 2 mins

Provider of artificial intelligence and IoT systems Netradyne has launched its Advanced Driver Assistance Systems (ADAS) solution to help fleet managers recognize positive driver performance and enhance driver safety for commercial vehicles, in India. Called Driveri, the four-camera, vision-based system is mounted on the vehicle windscreen and provides real-time audio alerts to the driver when a vehicle collision is imminent.

Driveri also monitors and alerts the driver for drowsiness or inattention and is equipped with Quad-HD cameras that provide a road view similar to the driver's perspective. It uses Nvidia’s Jetson TX1 TeraFLOP processor, which is said to be capable of one trillion calculations per second. It also delivers real-time safety assistance to help drivers avoid accidents through its deep learning algorithms for video processing and hardware from Nvidia.

Fleet managers are also provided with a comprehensive view of their driver's activity through real-time positive driving notifications and best practice identification.

Avneesh Agrawal, founder and chief executive of Netradyne, said: "India has a very poor road safety record with over four hundred thousand road accidents recorded last year. ADAS solutions specifically customized for the Indian road and driving conditions are the need of the hour and will play a significant role in making our roads safer. We believe that Driver will immensely benefit the commercial vehicle segment in India. With the ADAS solution customized for the market we are able to provide valuable insights to commercial fleet operators on their most prized assets: drivers and fleet.”

UTC

Related Content

  • November 14, 2014
    Interior cameras and eye-tracking ‘to dominate driver monitoring technology’
    Global shipments of factory-installed Driver Monitoring Systems (DMS) systems based on interior facing cameras will reach 6.7 million by 2019, according to recent findings from ABI Research. “DMS solutions are expected to gain new momentum as critical support systems for human-machine interactions (HMI) related to ADAS active safety alerts and autonomous-to-manual handover but also as solutions enabling smart dashboards and contextual HMI in an in-vehicle environment increasingly characterized by inform
  • January 16, 2024
    "AI can help fast-track Net Zero and Vision Zero," says VivaCity
    Artificial intelligence isn't just about self-driving cars - and ‘smart’ doesn't always have to be shiny, new and innovative. Mark Nicholson, CEO at VivaCity, offers a few predictions for 2024...
  • November 12, 2015
    Preventing connected vehicles creating disconnected drivers
    Advanced driver assistance systems (ADAS) are evolving at a rapid pace – but drivers’ ability to cope with them is not and at some point the mismatch must be addressed. Probably the biggest challenge the transportation industry has ever faced.” That is how Dr Bryan Reimer of Massachusetts Institute of Technology AgeLab describes the challenges posed by semi-autonomous vehicles.
  • June 17, 2019
    Here’s HD AV map prepared for 5G
    The emergence of 5G may not be necessary to provide a high-definition map for autonomous driving, says Matt Preyss from Here Technologies. Ben Spencer asks why 5G is a hot topic worldwide, with the potential for faster transfer of information eagerly awaited by those convinced that it will be a game-changer for the ITS industry. High-definition (HD) maps are essential to allow autonomous vehicles (AVs) to understand their environment, and operate safely within it in relation to other road users and p