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Context:
Indian Railways is deploying an advanced Artificial Intelligence–powered Locking Monitoring System named ‘DRISHTI’ to strengthen freight train security, improve transparency in cargo movement, and reduce manual monitoring challenges. The system automatically detects unlocked, open, or tampered wagon doors in real time, enabling faster response and safer logistics.
What is ‘DRISHTI’?
- ‘DRISHTI’ is an AI-driven real-time surveillance and locking monitoring technology designed to track the door-lock status of freight wagons throughout their journey.
- It integrates high-precision imaging, computer vision, and ML-based analytics to improve safety and efficiency in freight operations.
Developed By
- Northeast Frontier Railway (NFR)
- IIT Guwahati – Technology Innovation and Development Foundation (IITG TIDF)
Objectives
- Ensure continuous monitoring of wagon door-locking conditions
- Detect tampering, partial locking, or unauthorized door openings
- Reduce dependence on manual inspections across long-distance freight routes
- Enhance the security, reliability, and transparency of freight movement
- Build a scalable, automated monitoring framework for future nationwide adoption
Key Features
- AI-powered cameras and sensor modules installed on freight wagons for continuous surveillance
- Computer vision + machine learning models to analyse door positions and locking integrity
- Instant alerts to railway authorities for any abnormality, including tampering or unexpected movement
- Automated anomaly detection without interrupting normal train operations
- High-accuracy performance demonstrated during 10-month field trials
- Scalable architecture enabling phased expansion across Northeast Frontier Railway and eventually the entire Indian Railways network
