Use Cases

Products

Developer

Blog

RoadAI

Analyze road defects and create asset inventories four times faster & at half the cost

Install the app. Drive around your road network. RoadAI takes care of the rest.

Powered by computer vision and reliable methodology, RoadAI accurately assesses pavement conditions, empowering you to get up-to-date road asset information faster, more frequently, and at a fraction of the cost compared to manual surveys.

// Fast + accurate

Reliable detection of a wide range of defects and assets

Powered by computer vision, RoadAI detects multiple defects, fixes, and road assets. Work with asset-specific data or overall pavement condition ratings.

Defect detection

  • Cracking: Alligator, longitudinal, transverse, and wheel track

  • Potholes: Minor, moderate, and severe

  • Fretting: Moderate and severe

  • Other Defects: Settlement, edge deterioration, bleeding

Fix detection

  • Patching: Area and spot

  • Crack Sealing: Longitudinal and transverse

Asset detection

  • Traffic Signs: Prohibitory, indication, mandatory, and regulatory

  • Line Markings: Longitudinal

  • Surface Markings: Stop, yield, speed limit, and others

  • Other Assets: Guard rails, street lights, manholes, and gullies

// Data + Mapping

Continuously assess your road network.

RoadAI provides the tools and data you need to make effective decisions.

Data collection

Collect data with smartphone whenever and wherever you drive.

Efficient analysis

Fast, objective, and transparent analysis with same-day delivery of results.

Road network overview

Up-to-date data of your entire road network with video footage you can refer back to at any time.

Now, inspectors can quickly create thorough, accurate pavement condition report using just a smart phone to support strategic monitoring and decision-making.

Reactive maintenance

Planned maintenance

Network inventory

01

/

05

"The biggest thing that RoadAI has helped me with is to be able to show legislators, my employees, members of the public a rational plan for maintaining the highways. And that data has been invaluable."

Timothy Hunt

Highway Superintendent

Lewis County, New York, USA

Intuitive interface & powerful features

View your data in an interactive display and integrate it with your asset management tools using our data exports and developer-friendly API.

Computer vision labels

Road condition heat maps

Multiple asset layers

Data reports + exports

Annotations + road asset pins

Video playback

Computer vision labels

Road condition heat maps

Multiple asset layers

Data reports + exports

Annotations + road asset pins

Video playback

// Artificial Intelligence

Improve road asset management with artificial intelligence.

Learn how RoadAI can help with your road asset management with our comprehensive eBook.

Want to try RoadAI on your own road network?

Book a demo to download RoadAI on your phone, or have a smartphone sent to you.

Related Resources

Related
Resources

Client Stories

How Northumberland County Council gets the most out of RoadAI

Client Stories

Case study with Lewis County, NY: Proactive road maintenance made easy with RoadAI

Client Stories

Deploying automated data collection tool for road asset inventory: Madison County, TN