Intelligent Inspection

Rail-Vigyan

Advanced Machine Vision & AI-based Inspection for Rolling Stock

Rail-Vigyan is an automatic, high-speed monitoring system for rolling stock using intelligent cameras and sensors — with real-time recording, reporting and analysis.

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The Challenge

Why this matters

Traditional manual inspection of rolling stock can be inconsistent and time-consuming. Inspectors may miss subtle defects due to human variability, limited visibility under the train, and the speed at which inspections must be completed. This reliance on manual processes increases the risk of mechanical failures and operational disruptions.

Key Capabilities

What Rail-Vigyan delivers

✓Under Gear Monitoring — brake beams, brake pipes, underframe members
✓Bogie Monitoring — wheels, frames, springs, brake pads, temperature
✓Side View Monitoring — doors, brake pins, brake rods, pantographs
✓Wheel Profile Monitoring — hollow tyres, deep flanges, thin flanges
✓Top Monitoring — uneven loading, open/hanging doors on wagons
✓Hot Axle / Hot Wheel Detection — pyrometers and high-speed cameras
✓Web-based database with automatic alarm generation
✓Automated reporting and remote monitoring
How It Works

The Rail-Vigyan process

Rail-Vigyan provides automatic, high-speed inspection of rolling stock using intelligent cameras and sensors. As the train passes the wayside installation, the system captures every visible component, analyses for anomalies in real time, and transfers findings to the maintenance team before the train reaches the station.

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01
Train approaches at normal operating speed — no halt required
02
High-speed cameras and sensors capture all visible components
03
AI algorithms classify defects and anomalies in real time
04
Critical defects trigger immediate alarms
05
Detailed reports generated automatically
06
Reports transferred to maintenance teams before train arrives
Business Benefits

What you gain

✓Automated high-speed inspection — no train halt required
✓Consistent objective assessment removing inspector variability
✓Proactive defect identification before failure occurs
✓Supports condition-based maintenance decisions
✓Real-time reporting dashboard for maintenance teams
Use Cases

Where it applies

◆Wayside rolling stock inspection at maintenance depots
◆Bogie and undercarriage condition monitoring
◆Wheel profile measurement and wear trending
◆Brake system inspection and thermal monitoring
Deployment
Wayside installation alongside live track. Operational in live Indian Railway environment.
Integrations
Cloud dashboard and local edge processing. Compatible with maintenance management workflows.
🔜 Future Enhancements
Laser sensors for sub-millimeter wheel profile measurement. Acoustic sensors for internal component defect detection (e.g., failing bearings).

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