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The prototype system has already been developed and has been under successful trial for the past ten months approximately on selected wagons.
Indian Railways goods train tracking: Indian Railways is planning to install Artificial Intelligence (AI)-based technology to enhance the safety of freight trains. The move also aims at addressing the operational challenges in detecting unlocked or tampered doors in moving freight stock, which pose significant safety and security concerns.
Indian Railways to install AI-based technology for safety in freight trains
This new AI-based Locking Monitoring System ‘DRISHTI’ will reduce the traditionally manual checks which are not only time-consuming but also impractical for long-haul rakes under dynamic conditions. The prototype system has already been developed and has been under successful trial for the past ten months approximately on selected wagons.
This new technology is being developed through a collaborative initiative between the Northeast Frontier Railway (NFR) and Indian Institute of Technology Guwahati Technology Innovation and Development Foundation (IITG TIDF).
It identified the need for an intelligent, real-time monitoring solution that could autonomously detect and alert for anomalies in door locking mechanisms, especially during transit, using advanced computer vision and machine learning algorithms.
AI-Based Surveillance System for Wagon Door Lock Monitoring – Here’s how it will work
The AI-based surveillance and locking condition monitoring system – DRISHTI is expected to bring greater transparency, visibility and technological assurance to freight security system.
“Such a system can provide real-time status updates on door lock conditions, detect abnormal events or tampering during transit and issue automated data-driven alerts without affecting normal train operations. By integrating advanced analytics and imaging technology, the system aims to strengthen wagon sealing integrity, enhance reliability and minimize human intervention,” says NFR.
It further added that the system integrates AI-powered cameras and sensors mounted on strategic points to capture and analyse door positions and locking conditions in real time.
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“Preliminary results have shown encouraging accuracy levels, validating the potential of this indigenous innovation. Further refinements and scalability plans are underway for wider application across the NFR network to strengthen rolling stock safety and operational reliability,” it said.
Anish Mondal is a business journalist with over nine years of experience. He writes on diverse subjects such as Infrastructure, Railways, Roadways, Aviation, Politics, Market, Parliamentary affairs, Corporate earnings, General and International news etc. ... Read More
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