Track Imaging
Track Imaging
High-resolution Imaging Systems for High-Speed Railway Inspection
ADTS Track Imaging is an intelligent visual inspection system that combines high-resolution imaging, laser profiling and artificial intelligence to detect and classify anomalies along the railway track.
Equipped with high-definition line-scan cameras, it captures submillimeter images at high speed, making it ideal for the analysis of:
- Rails
- Fishplates
- Fasteners
- Sleepers
- Ballast
- Other track components.
The system is fully adaptable and can be mounted on virtually any railway or inspection vehicle. Thanks to its adjustable orientation and proprietary lighting and synchronization architecture, Track Imaging Systems ensure optimal image acquisition even at full operating speed, with microsecond-level timing accuracy.
AI-Enhanced Inspection
Proprietary AHMES software allows data to be collected and analyzed either directly from the vehicle’s control cabin or remotely from a separate location.
Integrated artificial intelligence empowers the Track Imaging Systems to autonomously detect and assess:
- Cracks and surface defects;
- Presence and alignment of components;
- Deformations and wear;
- Structural integrity indicators.
Defects Catalogue















Models
HRS
High Resolution Surface imaging
for targeted rail inspection.
| Resolution | 0,05 mm/px |
| FOV | ca. 300 mm |
HRSW
Full-track coverage with multiple synchronized units.
| Resolution | 0,1 mm/px |
| FOV | ca. 600 mm |
V3DS
Integrates laser triangulation for enhanced 3D imaging.
| Resolution | 0,1 mm/px |
| FOV | ca. 600 mm |
Configurations
Rail Surface
Devices:
2 x HRS
Defects detection:
Rails
Rail Side
Devices:
4 x HRS
Defects detection:
Fishplates
Rail View
Devices:
2 x HRSW
Defects detection:
Rails
Fasteners
Full Track
Devices:
3 x HRSW
Defects detection:
Rails
Fasteners
Sleepers
3D Full Track
Devices:
3 x V3DS
Defects detection:
Rails
Fasteners
Sleepers
Ballast
The 3D Full Track configuration, with three V3DS units, enables the simultaneous acquisition of 3D shape profile and high-resolution images of the railway track’s, which are then correlated through dedicated analysis software.








