Machine vision and AI in railroad services

Machine learning is an important asset to predict where track maintenance will be needed.

Daily updated spatial database on objects in the railway environment – a great tool in supervision and asset management.
After detected objects are entered in the database, it is possible to check the same object, to determine its status, its existence or absence with each new survey.

Railway detection with machine vision

  • Precise Track Mapping: Accurately determine track planes and gradients for optimal maintenance planning.
  • Automated Fault Detection: Identify faults in tracks, superstructures, and platforms with exceptional accuracy, including sloping issues.
  • Real-Time Deviation Monitoring: Compare current data against a 3D point cloud database to pinpoint deviations and schedule timely interventions.
  • Continuous Learning and Improvement: Our system learns and adapts using affordable sensors, automatically updating your spatial database and detecting deviations from the baseline state.
  • Seamless Integration: Integrate seamlessly with your existing 2D GIS databases and enterprise systems for a unified workflow.

Vision based railway track monitoring using deep learning


  • Visionary Inspections: Our AI-powered system leverages computer vision and pattern recognition to automatically inspect tracks, identifying structural defects with exceptional accuracy.
  • Automated Learning: We’ve built a self-learning system that continuously improves its detection capabilities, ensuring ongoing efficiency and reliability.
  • Focus on Deviations: Our system focuses solely on deviations from the established baseline, allowing you to prioritize and address potential issues effectively.
  • Proactive Maintenance: Gain valuable insights to support diagnostic-based maintenance, maximizing uptime and minimizing costs.

This is how our system works. The video shows object detection in real-time by our train mounted sensor system.

other products

More products

Our other solutions that might be interesting for you.

Drone detection

Electrical network inspection from the air with drone camera detection. AI supported automated flight paths and data capture.


Satellite imagery combined with AI enables you to accurately identify vegetation risks and impacts at any spot, any time.

Car detection

Electrical network inspection from land with car camera detetection. Camera system can be placed for any vehicle.