This system aims to significantly enhance train operation safety, reduce manual inspections, and prevent accidents and service disruptions. Credit: MudaCom / Shutterstock.

Indian Railways has signed a memorandum of understanding (MoU) with the Dedicated Freight Corridor Corporation of India Limited (DFCCIL) to implement an AI-based train safety system designed to improve the monitoring of rolling stock health.

This move signifies a leap towards integrating advanced technologies for service efficiency and maintenance automation in the rail sector.

Go deeper with GlobalData

Go deeper with GlobalData

The gold standard of business intelligence.

Find out more

Discover B2B Marketing That Performs

Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.

Find out more

The MoU was signed by India’s Ministry of Railways (Railway Board) project and development director Sumit Kumar and DFCCIL GGM (Mechanical) Jawahar Lal at Rail Bhawan in New Delhi.

Witnessing the event were DFCCIL managing director Praveen Kumar and other senior officials.

The machine vision-based inspection system (MVIS) utilises artificial intelligence and machine learning (AI/ML) to capture high-resolution images of the under-gear of moving trains, automatically detecting anomalies such as hanging, loose, or missing components.

The system then promptly alerts the relevant authorities in real-time, enabling quick response and preventive measures. It promises to significantly boost train operation safety, reduce manual inspections, and prevent accidents and service disruptions.

GlobalData Strategic Intelligence

US Tariffs are shifting - will you react or anticipate?

Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.

By GlobalData

DFCCIL’s responsibilities under the MoU include the procurement, supply, installation, testing, and commissioning of four MVIS units.

The initiative is part of Indian Railways’ wider goal of integrating intelligent systems into the railway ecosystem.

The signing of this MoU is a crucial step towards the digital transformation of rail safety and the development of a future-ready rail infrastructure.

In a related development, the Digital India Bhashini Division (DIBD) and the Centre for Railway Information Systems (CRIS) have signed an MoU to create multilingual AI solutions for Indian Railways.

The initiative will support passenger interactions in 22 Indian languages, advancing linguistic inclusivity and digital transformation.

Railway Technology Excellence Awards - Nominations Closed

Nominations are now closed for the Railway Technology Excellence Awards. A big thanks to all the organisations that entered – your response has been outstanding, showcasing exceptional innovation, leadership, and impact across the defence sector.

Excellence in Action
Winning the Innovation Award in the Reservation Systems category, EAO’s advanced seat reservation system tackles urbanisation and rising mobility demands head on. Explore how its adaptable HMI, modular design and energy saving display technology help operators boost capacity utilisation and improve the passenger experience.

Discover the Impact