Tunnel condition, captured in detail
Tunnel inspection with automated video defect assessment and 3D mapping
What is Plasser TunnelScan?
Plasser TunnelScan is a modular image-based inspection system for automated assessment of tunnel ceilings, tunnel surfaces, and surrounding infrastructure elements. Based on high-resolution cameras and optimized illumination, it captures localized visual data during inspection runs and supports automated detection of cracks, wet spots, surface anomalies, and other visible defects.
Plasser Tunnel Scan Pro uses LiDar data that complements image acquisition to enable 3D tunnel mapping and more advanced spatial evaluation.
Benefits
- Greater safety for tunnel inspections
- Reduced need for manual inspections
- Earlier awareness of visible defects
- More consistent tunnel condition assessment
- Clearer evidence for maintenance decisions
- Better localization of tunnel anomalies
- Enhanced spatial insight with 3D mapping
High-resolution tunnel imaging
Plasser TunnelScan uses configurable camera and illumination modules to acquire detailed images of tunnel ceilings, walls, and selected surrounding elements. The camera layout can be adapted to the required inspection coverage, supporting continuous visual documentation of tunnel condition during vehicle-based runs.
Automated visual defect assessment
High-resolution image data can be processed to support automated identification of visible tunnel defects and anomalies, including cracks, wet spots, surface degradation, deposits, and other condition indicators. This helps inspection teams focus their review on relevant locations and recurring defect patterns.
3D mapping with Plasser TunnelScan Pro
Plasser TunnelScan Pro combines optical image inspection with LiDAR-based acquisition. Image data and 3D point clouds can be evaluated together to map tunnel shape, associate visual defects with spatial information, and support run-to-run comparison of tunnel surfaces and surrounding infrastructure elements.
Localized inspection evidence
Acquired images are associated with positioning and synchronization data, allowing defects and observations to be linked to their location along the tunnel. Localized visual evidence supports maintenance review, follow-up planning, and comparison with previous inspection runs.