RoadAI for Rail infrastructure management and safety

Mobile computer vision powered service for rail infrastructure management and black box information collection

RoadAI - Record, View, Share & Benefit

RoadAI is a data production tool that utilizes smartphone produced video and various measurements. The smartphone application is used to collect raw data. The raw data is refined with elaborate image recognition algorithms and signal processing methods. RoadAI is the ideal tool for intelligent infrastructure management providing up-to-date visual data for documenting and automated inventories of railway assets. RoadAI requires no additional hardware or equipment other than a smartphone.

RoadAI and the smartphone application is a cost-effective solution for gathering visual documentation of the environment or to be used for other purposes. The visual data is important for asset inspections, quality control and assurance. In addition, continuous visual feed and history collection contributes to investigations in case of accidents, in this case acting as a black box. This feature is further enhanced by the sound recording ability. All the material is easily accessible on a GIS map-based user interface. The interface encompasses diverse options for filtering and managing the material including smart location search, history browsing and tag filtering.

In the core of RoadAI runs a state-of-art computer vision system, enabling the automatic recognition of rail infrastructure from collected videos. The three main benefits of the automated inventory are cost-efficiency, quality precision and that it can be integrated with existing processes. The process integration for example can be equipping a passenger or cargo train with the data gathering solution, allowing various visual surveys to be replaced with continuous data flow significantly reducing asset management expenditure.

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Core features currently in RoadAI for Rails


  • Up-to-date video recording capability, option to record audio
  • Location video documenting and reporting
  • Tagging of videos for easier filtering and management
  • Video inventorying with wireless buttons to annotate points of interest (ex. defects on the road surface) while driving.

Map-based web interface

  • Reliable and easily accessible cloud storage
  • Visualize all material
  • Diverse options for filtering and managing the material including smart location search, history browsing and tag filtering.

Automatic data production

  • Computer vision traffic sign inventorying
  • Automated analysis of condition of the rails using mobile sensors