DRISHTI: AI-Based Locking Monitoring System

Indian Railways’ new AI-based system DRISHTI uses real-time cameras and machine learning to detect tampered or unlocked freight wagon doors, boosting cargo security and reducing manual inspections.

AI-Based Locking Monitoring System: DRISHTI

Subject: Science & Technology (UPSC Prelims, GS III)
Source: IE

Context:

Indian Railways is introducing an AI-based Locking Monitoring System called ‘DRISHTI’ to improve the security of freight trains by detecting tampered or unlocked wagon doors in real time.

What is DRISHTI?

DRISHTI is an Artificial Intelligence–enabled surveillance and locking monitoring system that tracks whether the doors of freight wagons remain properly locked during movement.

Developed by:

Northeast Frontier Railway (NFR)
IIT Guwahati – Technology Innovation and Development Foundation (IITG TIDF)

Aim of the System

To automatically detect unlocked, open, or tampered freight wagon doors.
To replace slow and labour-intensive manual inspections.
To improve the safety, reliability, and transparency of freight operations.

Key Features

AI-powered cameras and sensors installed on wagons for continuous monitoring.
Computer vision and machine learning algorithms analyse door status in real time.
Instant alerts triggered for anomalies like tampering, partial locking, or unexpected door movement.
Works during transit without affecting train operations.
Tested successfully over a 10-month trial, showing high accuracy.
Scalable for wider adoption across Indian Railways.

Significance

Strengthens freight security by reducing theft, pilferage, and unauthorised access.
Cuts down the need for manual door inspections along long routes.
Enhances operational efficiency and ensures wagons remain sealed until reaching their destination.