High-resolution 3D data and AI-powered analytics to detect defects, track conditions and assets with unmatched accuracy.
Rail networks span hundreds of kilometres of safety-critical track. Traditional inspection depends on limited access windows, puts crews on live corridors, and produces inconsistent records that can't keep up with how fast track condition changes.
Inspection depends on track possession. Access windows are short and costly, capping how often the network can realistically be inspected.
Manual and on-foot inspection covers ground slowly. Inspecting hundreds of kilometres takes time the maintenance cycle doesn't allow, so coverage falls behind deterioration.
Sending crews onto live track exposes them to moving trains, high-voltage equipment, weather and fatigue, often during anti-social hours.
Manual recording is subjective and varies between inspectors, crews and conditions, making defect trending and asset decisions unreliable.
A configurable inspection payload mounts to your existing trolleys, hi-rail vehicles or locomotives. It inspects passively as the vehicle moves, with no dedicated possession or line closure required.
As the vehicle travels, the payload captures high-resolution imagery and 3D geometry across rails, sleepers, fixings and the surrounding corridor.
NXTGEN Inspect automatically analyses 3D geometry and wear, and detects defects, corrosion, cracks, vegetation encroachment and more. Every defect is classified, GPS-tagged and scored for risk and severity.
Findings are delivered as digital and PDF reports, presented in dashboards on the NXTGEN Inspect platform, and exported to your asset or maintenance management system, with every defect mapped across the network and ready to act on.


Gauge, cross level, twist, alignment and cant measured from the laser profile.
Top, side and corner rail-head wear profiled against tolerance.
Periodic rail-head wear measured along the rail.
Missing, broken or loose clips and bolts identified by vision.
Squats, head checks, shelling, spalling and surface cracking detected from high-resolution imagery.
Joint gaps, fishplate and joint-bar cracking assessed.
Concrete and timber sleeper cracking and spalling classified.
Rail, fitting and component corrosion identified and classified.
Signage and assets along the corridor detected and recorded.
Dynamic track response and rates of change measured at operational speed, flagging rough-ride locations.
Vegetation encroachment and infrastructure intrusion into the track clearance envelope.
Configured to your network. We tailor the sensor suite and detection set to what your network needs.
Inspecting passively during normal vehicle operation removes the need for extended possession windows and the disruption they cause.
The platform operates within the normal traffic envelope, so inspection runs without interrupting service.
Every metre of route is captured on every run, moving asset management from sampling to complete condition visibility.
Georeferenced defect data flows directly into existing maintenance management systems, with no manual re-entry.
Track route digitised, inspection parameters configured per line standard (ARTC, metro, freight).
Payload fitted to your chosen vehicle (trolley, hi-rail or loco) and tested on a representative track section. AI models calibrated to your target defect classes.
Reports piped to your existing maintenance management system, and your crew trained on the exception review workflow. AI models are tuned continuously as new inspection data comes in, so detection keeps improving over time.
See how the Rail Inspection Platform was deployed across active rail corridor, from route commissioning to live defect reporting integrated with the network's maintenance management system.
Tell us about your rail network and inspection requirements.
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