Did you know that 68% of vehicle collisions are caused by the driver being distracted while driving? Holy smokes! That is one shocking statistic. As technology grows, our appetite for it does as well, no matter what we are doing – including driving. There has also been a 14% increase in collision fatalities since the year 2014, in which 1 in 4 of those fatalities included cell phone usage. Is a text or Facebook worth your life?
Nauto, founded in April 2015, has exploded with their new AI vehicle dash cam. Using bi-directional cameras, a powerful AI engine, and coaching tools, Nauto is changing the way that fleets analyze their drivers’ performances. In fact, these are the results of Nauto’s technology thus far:
- 37% reduction in collision incidents
- 20% improved driving efficiency
- An average 6-month return on initial investment
That’s only SO FAR … As more companies discover Nauto’s product and invest in the AI dash cam, more fleets will prosper.
Nauto is building a data platform for autonomous mobility that makes driving safer and fleets smarter.
How Does it Work?
The Nauto device is basically a dashcam that contains many sensors in order to detect collisions, risky driving maneuvers such as tailgating, and the driver’s behavior. Moments of poor driving behavior/distracted behavior is captured on video in order to learn from those moments. For example, maybe you don’t know that you are looking down for many seconds while you change the radio station. Nauto has automatic facial recognition and can detect when you aren’t looking at the road! That moment you are looking down will be captured and will allow you to be more aware the next time you change the radio station.
Since our founding in April 2015, Nauto has asserted that the path to autonomy begins with helping and learning from real drivers. Since then, our Palo Alto-based team has been working every day towards a common goal of transforming transportation and saving lives. The roadmap below outlines our path to making this a reality.
Nauto’s new device also evaluates driver performance. Each time someone drives, they are given a “driver score,” and given their levels of attention, tailgating, speed, and g-force. The driver is also told how many accelerations, as well as brakings, occurred during each trip. You can track each driver’s performance over time to see improvements!
Nauto’s after-market devices provide personalized feedback to fleets and their drivers, reducing collisions and saving lives worldwide.
Features of the Nauto Device
- Flexible mounting hardware to fit any vehicle
- Wide angle exterior/interior camera
- GPS (because the world is a big place)
- LTE and wireless connections
- LED and speakers for feedback
- Night vision support
You can also download driver data at any time, and is logged by the destination address. The fleet manager can request videos of the interior or exterior at any time and can share links to the videos. A live map of all fleet vehicles is available 24/7.
Collisions that may occur are automatically recorded and uploaded to the dashboard, and logs dates, times, locations, and speeds. Essentially, Nauto can cut claim costs by up to 80%.
Using advanced computer vision and machine learning, each and every Nauto device is collecting data from the road and the world surrounding it. Our data is then aggregated and anonymized with respect to drivers and their privacy.
More About Nauto
Nauto is headquartered in the United States and have new office locations in Europe and Japan. They have been featured on VentureBeat, The New York Times, Recode and CNBC websites. Nauto has partnered with insurance, automotive and tech companies, as well as with resellers. Some of their famous partners are BMW, Toyota, NAFA, AFLA, GM, SoftBank, and Allianz.
If you are interested in Nauto’s revolutionizing technology, get on their website, www.nauto.com and fill out one of their contact forms. Also, you can request a free ROI analysis!
By learning from our data in the aggregate, we can better understand how real people drive, uncovering trends, challenges, and edge cases across our network of fleets. Most importantly, this data can be used to model and train autonomous systems.
Photo by Austin Neill on Unsplash