Indian Railways Adopts AI, Drones and TRI-Netra System to Boost Safety and Track Monitoring

Indian Railways is increasingly using advanced technologies such as Artificial Intelligence (AI), machine learning, smart sensors and drones to improve train safety and infrastructure monitoring across the country. The new systems are aimed at detecting faults in trains and tracks early, helping prevent accidents and improving maintenance efficiency.

The information was shared by Union Railway Minister Ashwini Vaishnaw in the Lok Sabha while explaining the technological upgrades being implemented across the railway network.

AI-Based System to Detect Train Defects

One of the key technologies being introduced is the Machine Vision Inspection System (MVIS). This AI and machine learning-based system automatically detects loose, hanging or missing components in moving trains and sends alerts to railway authorities.

Currently, MVIS systems have been installed on a pilot basis in several railway zones:

• Three systems in North East Frontier Railway

• Two systems in Dedicated Freight Corridor Corporation of India Limited

• One system in South East Central Railway

Indian Railways has also signed an agreement with DFCCIL to deploy four more MVIS systems for freight operations. The technology is being further developed by Research Designs and Standards Organisation in collaboration with industry partners.

Sensors to Detect Faulty Wheels

To improve train safety, Indian Railways has installed the Wheel Impact Load Detector (WILD) system at various locations. These trackside sensors measure the impact of train wheels on the track, helping identify defective wheels that could lead to derailments.

So far, 24 WILD systems have been installed across the railway network.

Monitoring Train Components in Real Time

Another system called Online Monitoring of Rolling Stock (OMRS) is used to monitor the health of train bearings and wheels. It works through wayside sensors placed near railway tracks.

At present, 25 OMRS systems have been installed across Indian Railways. One such system is located at Sirpur Kagaznagar in the Secunderabad Division of South Central Railway.

Smart Technology for Track Inspection

Indian Railways has also introduced the Integrated Track Monitoring System (ITMS) to inspect railway tracks. The system uses machine learning and image processing to detect defects in rails, sleepers and fastenings.

Currently, three ITMS systems are operational for track recording and monitoring. Railway officials say the system helps in better maintenance planning, improved safety and higher operational efficiency.

Drone Monitoring for Railway Equipment

To inspect overhead electric infrastructure, Indian Railways has started using drones equipped with thermal imaging cameras. A pilot project for drone-based monitoring of overhead equipment has already been carried out in the Raipur Division.

The railway network has also collaborated with Indian Institute of Technology Madras to develop AI-powered drone inspection systems that can analyse captured data automatically.

TRI-Netra to Help Train Drivers in Fog

The Research Designs and Standards Organisation is also developing the TRI-Netra system to help train drivers during fog, rain and poor visibility conditions.

TRI-Netra uses optical cameras, infrared cameras and radar or lidar sensors, along with AI, to provide real-time enhanced vision to loco pilots, making train operations safer in challenging weather.

New Rail Technology Policy to Promote Innovation

To accelerate the adoption of new technologies, Indian Railways introduced the Rail Technology Policy on February 26, 2026.

Under this policy, innovators and startups can submit proposals through a dedicated portal launched by Indian Railways. The government will also support selected projects through a 50:50 cost-sharing model, providing funding for prototype development, testing and large-scale trials.

Officials believe these initiatives will modernize railway operations and strengthen safety standards across the Indian Railways network.