NFR Introduces AI-Based Wagon Door and Seal Inspection System
Northeast Frontier Railway (NFR), in collaboration with IIT Guwahati, has introduced Project DRISHTI, a cutting-edge AI-based technological solution aimed at enhancing the safety and security of freight wagons over Northeast Frontier Railway. The system was formally inaugurated at a programme held at NFR Headquarters, Maligaon, on 25th September, 2026. Project DRISHTI is being developed to…
Northeast Frontier Railway (NFR), in partnership with IIT Guwahati, has launched Project DRISHTI, an advanced AI-based system designed to improve the safety and security of freight wagons across the railway network. The system was officially launched at an event held at NFR Headquarters on September 25th, 2026. Project DRISHTI focuses on enhancing the monitoring of freight wagon doors, locks, and seals by integrating high-speed cameras, intelligent lighting, secure networking, and Artificial Intelligence.
This technology enables efficient inspection of wagon locks and seals, allowing for the prompt detection of any irregularities or potential pilferage during transit. Key stakeholders, including representatives from IIT Guwahati and senior railway officials, attended the inauguration ceremony. Chetan Kumar Shrivastava, General Manager of NFR, emphasized the vital role of freight transportation in maintaining the nation's supply chains, emphasizing the importance of securely sealed wagon doors to protect cargo.
Traditionally, this task was performed manually, which could be cumbersome and time-consuming, especially during night hours or adverse weather conditions. Project DRISHTI aims to overcome these challenges with faster, more reliable, and efficient technology-driven inspection. As trains pass through designated monitoring points, the system identifies each wagon, records its number, and assesses the condition of its doors, locks, and seals.
The system is capable of detecting if seals and locks are intact or if any irregularities require attention. Digital recording of inspection results will enable timely action by railway personnel. The technology-driven monitoring system is anticipated to protect consignments, minimize delays, and assist frontline railway staff, including railway protection force (RPF) and commercial personnel.
By enabling quicker identification of possible irregularities, the system aims to strengthen freight monitoring and reduce reliance on manual inspections alone. The collaboration between NFR and IIT Guwahati combines academic expertise, Artificial Intelligence, and railway operational knowledge to tackle a practical issue in freight transportation.
This initiative exemplifies the potential of technology-driven solutions to enhance railway operations and bolster freight security. General Manager Shrivastava praised the efforts of IIT Guwahati and NFR teams, expressing optimism that Project DRISHTI would continue to succeed and set the stage for more collaborative projects between the two organizations in the future.
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