Gajraj Suraksha

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About Gajraj Suraksha

It uses an AI-based algorithm and a network of sensitive optical fibre cables to detect elephants getting close to railway tracks.
It aims to address the issue of elephant fatalities resulting from train accidents.
Working
- Gajraj Suraksha senses pressure waves generated by the movement of elephants along the tracks.
- As elephants move, the optical fibres detect vibrations caused by their footsteps.
- These vibrations trigger signals within the optical fibre network, enabling the system to identify the presence of elephants up to 200 meters ahead of their arrival on the track.
- The OFC-based Intrusion Detection System works by sending alarms to station masters whenever movement is detected along the tracks.
The network is designed in such a way that it can track the movement of the elephant with great accuracy and report it to nearby station masters.
This allows them to promptly inform locomotive drivers in the affected areas.
This quick communication ensures that trains can be slowed down or stopped, preventing potential collisions with elephants.
Indian railway is planning to introduce this system in West Bengal, Odisha, Jharkhand, Assam, Kerala, certain parts of Chhattisgarh, and Tamil Nadu.

Q1) What are optical fibres ?

These are made of thin, cylindrical strands of glass with a diameter of a typical fibre is close to the diameter of human hair. These fibres can carry information, such as text, images, voices, videos, telephone calls, and anything that can be encoded as digital information, across large distances almost at the speed of light. They are strong, light, and flexible, and ideal to be buried underground, drawn underwater, or bent around a spool.

Source: Indian Railways develop AI-based software ‘Gajraj’ to avoid collisions, to roll out in all elephant corridors