(GIST OF SCIENCE REPORTER) MVIS SYSTEM

(AUGUST-2025)

MVIS SYSTEM

To improve service efficiency and automate maintenance in the rail industry, Indian Railways recently inked a Memorandum of Understanding with DFCCIL to implement an AI/ML-based inspection system.

Key highlights:

The MVIS system seeks to prevent accidents and service interruptions, decrease manual inspections, and greatly improve train operation safety.
An important step towards the creation of a future- ready rail infrastructure and the digital transformation of rail safety is the signing of this Memorandum of Understanding.

Machine Vision-Based Inspection System (MVIS)

The machine vision-based inspection system (MVIS) automatically detects anomalies like hanging, loose, or missing components by using artificial intelligence and machine learning (AI/ML) to take high-resolution pictures of the undercarriage of moving trains.
After that, the system instantly notifies the appropriate authorities in real-time, facilitating prompt action and preventative measures.
It promises to prevent accidents and service interruptions, drastically increase train operation safety, and decrease manual inspections.
Wagons, coaches, Vande Bharath, metros, EMUs, and LRTs are all covered by MVIS.

Features of MVIS System

Trains entering and leaving the MVIS zone are detected.
Camera and lighting systems are automatically turned on and off to collect data.
Using a camera-based system, raw data from side and under views is collected and stored.
Defect identification using data generated by cameras.
Information is displayed on the dashboard, including train details, descriptions, and images of defects.

Benefits

Determine flaws (alerts generated) quickly by using the position and number of the wagon.
Supplying proof of the health of the assets.
Ensuring rake safety when entering and leaving the yard. • Wagon health is tracked in real time using GUI and SMS alerts.
Delivering immediate notifications to prevent mishaps.
A dashboard displaying an advanced management information system.