• The DRISHTI system is an AI-based Freight Wagon Locking Monitoring System developed by the Northeast Frontier Railway (NFR) in collaboration with the Indian Institute of Technology Guwahati Technology Innovation and Development Foundation (IITG TIDF).
• It aims to tackle the operational challenge of identifying unlocked or tampered doors on moving freight wagons—a major issue for safety and security in India's rail logistics.
• Key features of the DRISHTI system include AI-powered cameras and sensors installed on freight wagons to capture and analyze door positions and locking status in real time.
• It uses advanced computer vision and machine learning algorithms to detect anomalies such as unlocked or tampered doors without disrupting train movement.
• The system automatically generates alerts for operators when irregularities are detected.
• Benefits of DRISHTI include reduced dependence on manual inspection, enhanced freight security, improved wagon sealing integrity, and greater operational efficiency.
• It improves safety by preventing cargo theft and accidents due to unsecured doors, minimizes manual inspection labor and error, and provides data-driven real-time monitoring, making freight operations smarter and faster.
• After successful trial phases with encouraging accuracy levels, Indian Railways plans to expand DRISHTI's deployment beyond the Northeast Frontier Railway zone to a wider national scale, marking a significant technological step towards modernizing India's rail freight system with AI and automation.

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