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New AI Collision Avoidance and Safety Features Announced by Nauto

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Nauto, a leading SaaS provider of AI and computer vision technology for commercial fleets and the automotive industry, has announced new AI and feature enhancements to its Driver and Fleet Safety Platform. 

Some of the newest AI capabilities include automatic detection of four new, high-risk behaviors in a vehicle. These behaviors trigger alerts to improve driver and fleet safety risk reduction, and they help streamline operations. 

The new features were presented on June 8 at DRIVE 2021.

Driver Safety Data

The latest driver and fleet safety data shows that more than 6,700 pedestrians were killed on U.S. roads in 2020, which is up 4.8% from 2019. The National Safety Council found that in 2020, motor vehicle deaths rose by 24%, which was the highest increase in 96 years. 

Insurance costs in 2020 also increased between 10% and 15% for the third year in a row for fleets, and driver safety is becoming an ethical and economic issue. 

The new developments from Nauto warn and include notifications for pedestrian collision, speeding over the posted limit, progressive fatigue and drowsiness, and intersection violations.

Advanced AI Technology

The company’s new advanced AI technology can track and analyze in real time, detecting covered risks and providing preventative warnings. This enables drivers to respond with enough time, and the warning system uses over 1.2 billion AI-processed driving miles to achieve high accuracy and mitigate problems around alert fatigue from false alerts.

Nauto’s in-vehicle alerts and AI-informed driving coaching addresses 90 percent of the weighted collision risk factors identified by the Virginia Tech Transportation Institute. 

Yoav Banin is Chief Product Officer at Nauto. 

“Nauto's AI-native approach measures and detects critical real-time driving risks that cause collisions and helps drivers avoid collisions rather than only informing them after-the-fact,” said Banin. “We are putting advanced AI and over 1 billion miles of driver behavior data to work to improve driver safety and reduce risk. As a result, our customers have seen that 2 out of 3 drivers improve automatically in 2 weeks without any human intervention, and their fleets benefit from up to 80% reduction in collisions.”

Visually Enhanced Risk Assessment (VERA) 

Nauto also demonstrated its new VERA Score 3.0 driver scoring system, which is an updated version of its risk assessment score based on 25 risk variables. Those risk variables are assessed through smart cameras and sensors, and VERA Score 3.0 summarizes all of the driving events and behaviors into one score.

Each driver has their own score calculated based on individual trips, with the scale being 1 to 100, with 100 being the best and safest score. These insights are then reported in Nauto’s cloud application in both dashboard and report formats, helping fleet management identify top performers and risky drivers at the same time.

Nauto is also providing out-of-the-box reports for key performance indicators such as coaching and real-time alert effectiveness, policy violations, collisions, and top performing and at-risk drivers.

“The ability to access and analyze well-organized data in order to have a clear understanding of the state of fleet operations and driver activity – without being overwhelmed by multiple interfaces and noisy data – is paramount for assessing risk and optimizing performance,” Banin added. “We believe VERA Score 3.0 and the various reporting and analytic capabilities in Nauto's cloud application provide valuable insights for fleet executives around driver-specific training, risk profiling, and fleet management.”

Alex McFarland is an AI journalist and writer exploring the latest developments in artificial intelligence. He has collaborated with numerous AI startups and publications worldwide.