services
Object detection / image segmentation
Our advanced object detection and image segmentation capabilities transform how rail and road infrastructure is monitored and maintained. SFWLab's TrackVision Edge On-Board Survey Instrument represents our flagship computer vision technology, capable of detecting railway objects at speeds up to 120 km/h using edge computing for near real-time operation. Our object detection models achieve high accuracy with mean average precision rates optimized for railway and road applications, ensuring reliable performance in diverse operational conditions
Key detection capabilities include:
- Railway Infrastructure Objects: Traffic lights, level crossings, tunnels, bridges, and passenger platforms with high precision identification
- Track Condition Assessment: Automated detection of rail misalignments, worn components, and missing parts using continuous image analysis
- Catenary Support Device Measurement: Specialized algorithms for overhead line infrastructure monitoring
- Trackside Vegetation Analysis: AI-powered assessment of vegetation conditions and clearance requirements
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
We’re working on it!