NFR, IIT Guwahati launch AI-based project DRISHTI to secure freight wagons

Maligaon, September 26 (MExN): The Northeast Frontier Railway (NFR) has introduced an AI-based system to enhance the safety and security of freight wagons, with the technology developed in collaboration with IIT Guwahati.

The system, named Project DRISHTI, was inaugurated at a programme at the NFR Headquarters in Maligaon on September 25, Chief Public Relations Officer Kapinjal Kishore Sharma said in a press release.

Project DRISHTI is designed to strengthen the monitoring of freight wagon doors, locks and seals using high-speed cameras, intelligent lighting, secure networking and Artificial Intelligence, enabling timely detection of possible irregularities or pilferage during transit.

Addressing the gathering, NFR General Manager Chetan Kumar Shrivastava highlighted the critical role of freight transportation in sustaining supply chains and supporting industries and agriculture. He noted that railways are a lifeline for the regional economy given the geographical and environmental challenges that make road transport difficult in the region.

Shrivastava said ensuring that freight wagon doors are properly closed and securely sealed was earlier carried out manually, which was challenging and time-consuming, particularly during night hours and adverse weather. Project DRISHTI addresses these challenges through faster and more reliable technology-enabled inspection, he added.

As trains pass through designated monitoring points, the system examines freight wagons, identifies wagon numbers and assesses the condition of their doors, locks and seals. It can flag whether seals and locks are intact or if a possible irregularity requires attention, and facilitates digital recording of inspection findings for timely action by railway personnel.

The technology is expected to safeguard consignments, reduce delays and ease the work of frontline railway personnel, including RPF and commercial staff, while reducing dependence on manual inspection.

The collaboration brings together academic expertise, Artificial Intelligence and railway operational experience to address a practical challenge in freight transportation.