Bottom

Novius Railtech’s Camera-Based Bottom View Monitoring & Anomaly Detection System is an advanced, non-intrusive condition monitoring solution designed to inspect and assess the undercarriage components of rolling stock in real-time. Using machine vision technology and high-resolution, industrial-grade cameras, this system captures detailed visual data of critical underframe elements like brake beams, suspension parts, traction motors, wheels, axles, and piping assemblies as trains pass over a designated inspection zone.
It automatically detects damage, wear, misalignment, missing components, or any unusual configurations that could compromise operational safety. This system supports a predictive maintenance approach by providing actionable insights early, helping railway operators avoid breakdowns, improve fleet reliability, and extend the service life of components. Built for robust operation in demanding rail environments, the solution enables cost-effective, round-the-clock monitoring without manual intervention.