services
Remote sensing
SFWLab leverages advanced remote sensing technologies to provide comprehensive monitoring solutions for railway infrastructure. Our remote sensing capabilities integrate multiple sensor platforms including LiDAR, multispectral imagery, and thermal sensors deployed on various platforms from UAVs to rail-mounted systems
Applications combining EDGE computing based pre-processing with the centralised post-processing in the GIS system. The data storage is
- Vegetation Management: Automated identification of clearance hazards and vegetation encroachment using LiDAR & multispectral camera based distance detection analytics
- Change Detection: Automated analysis systems that identify infrastructure modifications and potential safety concerns over time
- Track Alignment Analysis: High-accuracy geodetic survey integration with LiDAR mapping for Reference Track Surfacing (RTS) system development
- Asset Condition Assessment: Multi-sensor approaches for comprehensive infrastructure health monitoring
Partners & Collaborations
#1 Pothole detection
SFWLab developed an advanced real-time pothole detection solution to enhance road network infrastructure assessment using computer vision technology. The system employs camera sensor mounted on long-distance buses, enabling automatic detection of potholes while in motion. EDGE computing based real-time analysis allows immediate georeferenced logging of detected potholes, streamlining reporting fo...
#2 Case Study
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