Netradyne, a provider of artificial intelligence (AI) and edge computing focusing on driver and fleet safety, announced that its Driveri vision-based driver recognition safety program has captured and analyzed 1 billion minutes of driving video data and 500 million miles, 3D mapping the most U.S. roads in history, according to the company.
Powered by AI, Driveri captures every minute of every driving day of thousands of fleet drivers across the country, analyzing road conditions, driving events and violations. The collection of analyzed data provides new opportunities that haven't existed before to shape safety standards for the future of transportation.
By 3D mapping millions of miles of U.S. roads, Netradyne’s contextual data is powering accident risk reduction, driver recognition, statistical modeling, and advanced autonomous vehicle development.
"We believe transportation can be transformed without sacrificing safety, said Netradyne CEO, Avneesh Agrawal. “One of the main issues facing autonomous vehicles today is missing, deep contextual data. Capturing video of a road one time is not enough. Our data represents hundreds of trips, capturing changing nuances and conditions of roads and highways.”
The growing Driveri customer community is represented by a wide range of transportation segments including passenger vehicle ride share, luxury limousine service, vans and pickup trucks, utility vehicles, last-mile delivery, freight, and heavy-duty trucking.
A point of commonality amongst this group is that they each leverage the Driveri platform for a complete view of their operations, including identifying excellent driving practices and identifying areas for performance coaching. The net result is reduced driving incidents, more awareness around risk and ability to reward positive driving.
“There are millions of road miles leading to high volumes of data that require real-time processing,” said David Julian, CTO and co-founder of Netradyne. “The collection and analysis of this data is crucial to how quickly technological advancement will occur within the transportation industry. It is through artificial intelligence technology that we will continue to chart road patterns while collecting more data geared towards improving driver and road safety.”
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