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Automatic Wagon Examination by AI

Performance of Wagon AI
June 2023 – June 2025

Total Trains Examined

24,735

Total Wagons/Locos Examined

1,286,789

Defects Identified

34,304

About Wagon AI

Wagon AI is jointly innovated by:

Indian Railways (Through DFCCIL)

IISc (Indian Institute of Science), India

IISc Startup for Railways - L2MRail

Wagon AI is an automated system designed to detect Defects in wagons. Wagon AI leverages the power of AI and machine learning to automate and optimize the inspection process of rolling stock. By using advanced image processing, our system identifies defects and other anomalies in wagons. It significantly enhances operational safety, reduces downtime, and minimizes manual inspection errors, providing railway operators with comprehensive insights for timely maintenance and predictive analysis. Wagon AI is for Wagons, coaches, Vande Bharath, Metros, EMU and LRT.

Performance

Experience the true achievement of our advanced Wagon AI. By clicking the 'Know More' button, you'll witness detailed images of real-world defects our system has identified — highlighting the precision and reliability of our cutting-edge technology.

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𝐓𝐇𝐈𝐒 𝐈𝐍𝐍𝐎𝐕𝐀𝐓𝐈𝐎𝐍 𝐈𝐒 𝐅𝐑𝐎𝐌 𝐈𝐍𝐃𝐈𝐀 — 𝐅𝐎𝐑 𝐈𝐍𝐃𝐈𝐀, 𝐀𝐍𝐃 𝐓𝐎 𝐓𝐇𝐄 𝐖𝐎𝐑𝐋𝐃.

A very economical solution for a safer future.

System Highlights

Features

  • Detection of train entry and exit at the Wagon AI zone.
  • Identification of defects from camera-generated data.
  • Collection and storage of raw data from under view and side view using camera-based system.
  • Automatic activation and deactivation of camera and illumination systems for data collection.
  • Presentation of information on dashboard including defective images, description and train details.
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Advantages

  • Providing evidence of asset health.
  • Sending instant alerts to avert accidents.
  • Ensuring safety of rakes during yard entry and exit.
  • Advanced management information system displayed on a dashboard.
  • Real-time monitoring of wagon health with SMS and GUI notifications.
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Machine Vision-based Inspection System

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Optical Character Recognition
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Real-time Monitoring
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Real-time alert generation
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