A new map to analyse the condition of all public roads rated at 35mph across the United States using crowdsourced imagery and AI road inspection technology ahead of new federal rules on minimum levels of retroreflectivity for markings has been released by Blyncsy
Using a nationwide network of crowdsourced imagery from dashcams on over 800,000 vehicles, Blyncsy’s machine learning was able to capture over 3,200 centre line miles of paint retroreflectivity detections in four days.
Its AI road inspection technology is able to collect and assess the condition of assets in captured in the images, such as paint line visibility, in as little as 60 seconds.
Cutting road marking inspections by 90%
The map will help state and local departments as they prepare to meet updated rules from the Federal Highway Administration (FHWA) that establish minimum levels for retroreflectivity – the amount of direct light a surface returns back to its source – for longitudinal pavement markings on all roads open to public travel with speed limits of 35mph or greater.
The new rules come into effect in 2026.
Blyncsy said AI road inspection can reduce the cost and burden of paint line inspections by 90%, supporting safer driving for both human and automated drivers.
Mark Pittman, Blyncsy CEO and director of transportation AI at Bentley Systems, said: “AI is enabling a revolution. We’re making sure our public servants benefit from this revolution as well.
“With today’s launch, we can ensure that our public works and maintenance crews across the nation can identify where and when to paint new lines on the roads, improve safety, reduce operational costs and comply with the new FHWA requirements.”
Blyncsy was founded in 2014 in Salt Lake City, Utah, by Mark Pittman when he was stuck at a traffic light, who wanted to combine real-time condition data and innovative technologies to help transport departments become efficient.
The company was acquired by Bentley iTwin Ventures in August 2023.
