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Dashcams and big data used to identify issues on US roadways

Blyncsy will use the billions of images collected by Nexar’s dashcams to identify issues on US roadways and report them to the state and local governments that maintain them.

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Nexar’s platform is powered by a non-line-of-sight vision feed
Nexar’s platform is powered by a non-line-of-sight vision feed

Movement and data intelligence company Blyncsy has partnered with Nexar, developer of a community-based dashcam app, to collect data on America’s 4.1 million miles of public highway.

 

Blyncsy will use the billions of images collected by Nexar’s dashcams to identify issues on US roadways such as faded markings and report them to the state and local governments that maintain them.

 

Travel lanes

 

National studies show that effective marking of roadways saves lives. Over half of fatalities on US roadways – approximately 19,000 deaths annually – result when motorists leave their travel lanes, according to federal data.

 

Most pavement markings are repainted only once a year, but with harsh weather conditions and degrading asphalt pavement markings frequently need to be repainted or maintained more often. The challenge for state transportation departments is knowing how their roads are performing on a daily basis with the ability to be proactive in fixing an issue before it’s a problem.

 

Blyncsy’s Payver technology provides up-to-date information on highways and roads by using real-time images and detections crowdsourced from the hundreds of thousands of Nexar dashcams on US roads and applying proprietary machine learning models to understand the changing road conditions and visibility of pavement markings to create safer road conditions for drivers.

“With this partnership, we’re giving government agencies a magnifying glass for their infrastructure, plus the power of continuous pattern analysis and predictive analytics”

A similar approach can be used for mapping of the exact location of every stop sign, traffic light, lane line, and kerb, valuable data that can also be used to train autonomous vehicles, the companies report.

 

“With many cities investing in expensive lidar technologies to monitor their streets and roads, or human surveyors, the crowdsourced vision data from Nexar ‘sees’ the world at eye-level just like we do and provides superior insights at a fraction of the cost,” said Eran Shir, CEO and co-founder of Nexar.

 

“Pavement monitoring is just one example of Nexar’s value while other cities and businesses are using the data to monitor and understand [kerb] use, real estate trends, pedestrian traffic, construction, and more.”

 

“We know that machine learning is only as strong as the data it depends on,” added Mark Pittman, CEO and founder of Blyncsy. “With this partnership, we’re giving government agencies a magnifying glass for their infrastructure, plus the power of continuous pattern analysis and predictive analytics. We’re excited to see how this combination can impact public servants, communities, and people everywhere.”

 

Connectivity challenges

 

Nexar’s platform, powered by a non-line-of-sight vision feed, overcomes the compute and connectivity challenges associated with vision processing from a multitude of cars, by optimising the costs across device, edge and cloud.

 

Nexar reports its platform is already deployed across hundreds of thousands of cars, detecting parking spots, helping manage city safety and more.

 

Blyncsy is a movement and data intelligence company headquartered in Salt Lake City, Utah. Through the application of big data and location analytics, Blyncsy helps its customers understand how connected devices are moving throughout an environment. Blyncsy’s platform assists departments of transportation, cities and other private and public entities to better understand the habits and trends of people.

 

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