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

  • December 7, 2021
    Here are the ITS America Awards finalists
    The Best of ITS and Best of Mobility on Demand (MOD) finalists have been selected by a distinguished panel and now the winners will be judged LIVE - by you, the attendees!
  • December 28, 2021
    Artificial Intelligence applications for commercial vehicle operations
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
  • October 4, 2013
    OnSSI and HTS integration delivers improved situational awareness
    Video management systems specialist OnSSI is to partner with vision systems supplier HTS to integrate the OnSSI Ocularis video management platform with HTS license plate recognition (LPR) and vehicle identification recognition systems (VRS), including automatic vehicle make and model identification. Integrating Ocularis with the HTS systems enables users to utilise Ocularis investigative tools to monitor and interrogate data recorded by the LPR and VRS solutions, to provide security professionals with a
  • November 17, 2017
    MEPs call for driver-assistance systems to made compulsory for new cars
    Following over 25,000 deaths and hundreds of thousands of injuries on Europe’s roads each year, 90% of which are caused by human error, MEPs are calling for new cars to be equipped with lifesaving driver assistance systems in a draft resolution. Three-quarters of new cars are still not equipped with the systems due to the extra cost. In response, the resolution suggests only making features compulsory that are already available on the market such as automatic emergency braking systems with pedestrian and