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Netradyne Celebrates the Capture and Analysis of over 100M Minutes of Driving Video Data using its Vision-based Driver and Road Safety Platform, Driveri™

January, 2019

Driveri™ Continues to Transform the Commercial Transportation Industry by Gathering Deep Insights into Driving Behavior and Providing Opportunities for Driver Recognition

SAN DIEGO, CA… Netradyne, a leader in artificial intelligence (AI) technology focusing on driver and fleet safety, has announced that its Driveri™ vision-based driver recognition safety program has captured and analyzed over 100 million minutes of driving video data. The analyzed data drives forward new feature development and lays the groundwork for positioning Netradyne as a crucial contributor for next-generation autonomous vehicles. This has led Netradyne to become one of the fastest growing artificial intelligence (AI) solution providers, a remarkable hallmark on the company’s three-year anniversary.

“Our team is thrilled to have generated such a deep resource of contextualized data so quickly,” said Avneesh Agrawal, CEO, Netradyne. “We are grateful to have such an incredible customer community that finds value in Driveri™ through the power of positive recognition and fleet safety.”

The growing Driveri™ customer community is represented by a wide range of transportation segments including passenger vehicle ride share, luxury limousine service, vans and pick-up 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. 

Netradyne leverages its deep archive of captured and analyzed driving data to further strengthen its technology portfolio in the following areas:

Driveri™ Deep Learning: As the units are deployed and operating in customer environments, the system actively ‘learns’ during trips, capturing road signage, traffic, and unique driving patterns and environments. This enables the system to continually improve performance.

•Insurance: Partnering with insurance carriers and actuarial partners, the unique contextual data captured and analyzed by Driveri™ can enhance rating and underwriting accuracy as carriers tailor rates and coverage to a fleet’s actual risk profile. Additionally, with traditional coaching and the new real-time driver engagement tool, the programs move beyond merely measuring risk to substantially reducing risky behavior. This ultimately shifts the risk curve with measurable incident reductions that saves both lives and dollars.

•Driver Signatures: The captured data provides a comprehensive view into a driver’s performance including the number of GreenMinutes (positive driving minutes) and key performance indicators such as average following distance and compliance to traffic signs. Customers are finding that a deeper view into their resources provides an opportunity to optimize their productivity.

RiskMaps: Through the analysis of the continuously captured data, Netradyne provides visualization and mapping of geographic risk factors. With these RiskMaps, customers have deeper visibility, and historical and geographical context into unsafe driving events.

•Dynamic HD Maps for Autonomous Vehicles: As the captured and analyzed data set continues to grow, Netradyne is able to provide one of the deepest sets of dynamic high definition map data of roadways. This allows the company to partner with global OEMs and Tier 1 suppliers engaged in the research and development of autonomous vehicles.

Netradyne is emerging as a technology innovator by utilizing AI, Machine Learning (ML), and Edge Computing to significantly enhance road and driver safety. Driveri™ is a vision-based driver recognition and fleet safety platform that captures and analyzes every minute of every driving experience, providing commercial fleet managers with insights into positive driving and identifying opportunities for individual coaching. The net result is reduced driving incidents, more awareness around risk and ability to reward positive driving; all of which improves driver retention.

“Other companies are using simulated miles to train their deep learning models. We believe that there is no substitute to using actual driving miles. We are on track to have the largest collection of training data in the industry that we are using to continuously enhance our Deep Learning Engine,” said David Julian, CTO and founder of Netradyne.

“Over the past three years, we have seen a tremendous interest in the applications of AI, Machine Learning and Edge Computing,” says Avneesh Agrawal, Netradyne’s Founder and CEO. “The collection of captured and analyzed data provides new opportunities that haven’t existed before in safety and risk reduction, driver recognition, statistical modeling, and advanced vehicle development.”

To learn more about Netradyne, visit www.netradyne.com.

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