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