Railways Install AI Based Intrusion Detection to Protect Animals on Tracks
Railways have deployed an artificial intelligence (AI) based Intrusion Detection System (IDS) on selected forest and wildlife‑prone sections of track. This system:· Uses acoustic sensors and distributed technology to detect the presence of elephants and other large animals near the railway track.· Automatically generates real‑time alerts for loco pilots, station masters, and control rooms when animals come close to the rails, so appropriate preventive action (like slowing down trains) can be taken.This system is already in use on 141 route kilometres on the Northeast Frontier Railway, and tenders have been awarded to expand it across an additional 981 km of railway routes across India.How This Helps Wildlife✔ Early detection: Animals approaching the tracks are detected well before a train arrives.
✔ Alerts for prevention: train drivers and control rooms receive advance warnings, giving time to slow down or stop safely.
✔ Protects elephants and other large wildlife in forested and corridor areas.Other Supporting MeasuresIn addition to AI systems, railways and forest departments are using underpasses, ramps, and speed restrictions in identified wildlife corridors so animals can cross tracks safely at designated points.Why This MattersIndia has historically seen numerous wildlife deaths on railway tracks, with thousands of animals—including elephants—killed in collisions over recent years. New detection and alert technologies aim to greatly reduce these incidents and improve safety for both wildlife and train operations.✔ In summary: indian Railways is now installing AI‑driven intrusion detection systems along wildlife‑prone tracks so that animals can be detected early and trains can be warned, preventing collisions and saving lives. Disclaimer:The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of any agency, organization, employer, or company. All information provided is for general informational purposes only. While every effort has been made to ensure accuracy, we make no representations or warranties of any kind, express or implied, about the completeness, reliability, or suitability of the information contained herein. Readers are advised to verify facts and seek professional advice where necessary. Any reliance placed on such information is strictly at the reader’s own risk.