AI-Powered Collection and Analysis of Road Data

Mobile data and?computer vision provide dynamic road management from analysis of transportation?infrastructure to monitoring of dynamic road?states and weather conditions.

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RoadAI - Mobile data collection system, powered by artificial intelligence

Visualize and Manage Road Network Data with RoadAI

Let technology provide a shortcut to assessing your network?by automatically identifying assets on your network such as signs, road cracks and potholes. Video data is collected through?a mobile application, as well as from your own collection system. Visual data is analyzed automatically and presented in your?RoadAI portal?where you can view the state of the network and inspect asset position?and condition. RoadAI?provides solutions to the most difficult challenges organizations are facing related to infrastructure management, efficiency of operations, and improving and maintaining roadway safety.

Simplified Road Data Collection, Automated Data Analysis and Mapping

Cracking detection by computer vision

Road Condition Analysis

RoadAI pavement analysis provides detailed road network insights, information for evidence-based prioritization of scarce resources and tools for reporting to support operations.

Computer vision - hands on wheel

Collect Visual Data and Notes

Fast and hassle free capture of network imagery.

  • Safe in car operation
  • Smart phone compatibility
  • HD?videos and notes to map
  • Share and browse data
  • Geo-referenced notes
  • Integrate other sensors


Data privacy is ensured by autonomous anonymization of private data such as people and vehicles. Privacy of the individual is a primary concern for all organizations. If you have a need to anonymize video or camera imagery (e.g. for EU GDPR) we make it...

Traffic Sign Inventory

Automated identification and classification of road signs and their position on the network.

  • Available through the RoadAI portal and API
  • Generate traffic sign inventories effortlessly
  • Detect changes and receive notifications of missing signs

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