Camera detection and AI-based visual inspection for railway vehicles
Visual Inspection and Defect Detection
Visual inspection combines high-resolution cameras, intelligent lighting, and AI-powered image analysis to automatically detect visually identifiable anomalies on passing rail vehicles. These include visually or thermally detectable anomalies, such as hot bearings, dragging equipment, open or damaged components, missing parts, as well as identifying features such as wagon numbers and brake markings.
System design and data processing are carried out in compliance with applicable data protection and data security requirements.
Why AI-based visual inspection?
Many safety- and maintenance-relevant defects are visually apparent but often detected too late during normal operation. AI-powered camera detection provides a reproducible, documented, and scalable inspection while the vehicle is in motion, ideally complementing acoustic, force-based, and geometric monitoring systems.
Application areas
Detection of sagging components and dragged parts
Visual inspection of underframe and side views
Detection of open, damaged, or missing components
Vehicle identification using EVN/UIC wagon numbers (OCR)
Axle detection
Detection of brake shoe markings or brake identifiers
Documentation of train passages and damage patterns
Advantages
Contactless inspection during operations
Objective visual documentation for operations and maintenance
Alerts for critical visual anomalies
Day/night operation with appropriate lighting
Ideal for freight transport, depots, shunting yards, and corridor applications
Seamless integration with WIM, BAM, and other wayside monitoring systems
Would you like to automatically detect visual defects, vehicle identities, and dragging equipment?
Let us work together to define a visual inspection solution tailored to your specific application.
