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An artificial intelligence-based elephant intrusion detection system planned for the Palakkad–Madukkarai railway stretch on the Kerala–Tamil Nadu border has been delayed despite most installation work being completed. The system, intended to detect elephant movement near railway tracks and alert train crews in real time, was originally scheduled for commissioning by December 2024. Railway officials have indicated that additional trials and certification procedures are required before the technology can be operationalised. The corridor passes through forested terrain known for frequent elephant crossings and forms a key rail link between Kerala and Tamil Nadu, carrying a large number of passenger and freight services daily. Until the system becomes operational, railways and forest authorities continue to rely on precautionary measures such as speed restrictions, solar fencing, warning signboards and manual patrols to reduce the risk of train–elephant collisions.
The commissioning of an artificial intelligence-based elephant intrusion detection system along the Palakkad–Madukkarai railway section has been delayed despite most of the technical infrastructure already being installed. The system, planned for the Palakkad division of Southern Railway, was initially expected to become operational by December 2024 but remains under trial due to the need for further testing and certification. Advertisement
The project is intended to improve safety along a railway corridor that passes through forested areas on the Kerala–Tamil Nadu border, where elephant movement across the tracks is frequent. The route forms part of a busy rail link connecting Palakkad in Kerala with Coimbatore in Tamil Nadu and carries a significant number of trains daily. Wildlife experts and railway authorities have long identified the stretch as vulnerable to train-elephant collisions because the tracks intersect natural elephant corridors used by herds moving between forest areas.
The proposed system is designed to detect elephant movement near railway tracks using distributed acoustic sensing (DAS) technology integrated with artificial intelligence-based analytics. Optical fibre cables installed along the railway alignment function as vibration sensors that detect ground movements associated with elephants approaching the track. The system analyses these vibration signatures and generates alerts when elephant movement is detected close to the railway line.
Once operational, the technology will transmit alerts to railway control rooms, station masters and locomotive pilots, enabling trains to slow down or halt before entering sections where elephants are present. The alerts are expected to be relayed to station masters in the Walayar–Kanjikode section of the Palakkad division, who can then inform approaching train crews through wireless communication systems.
Although most hardware components such as sensors, optical fibre systems and communication equipment have been installed, officials indicated that the system still requires additional trials to ensure accurate detection and minimise false alarms before commissioning. Calibration and validation processes are necessary because the technology must differentiate between elephant movement and other ground vibrations caused by vehicles, animals or environmental factors.
Until the AI-based system becomes operational, railway authorities continue to rely on a combination of conventional safety measures to mitigate the risk of collisions. These include speed restrictions on trains passing through vulnerable sections, installation of solar fencing and warning lights, signboards for locomotive pilots, AI-assisted camera monitoring and periodic foot patrols along the track.
The forest department also plays a role in monitoring elephant movement in the region. Wildlife trackers monitor herd activity near railway corridors and issue alerts to railway officials when elephants approach the tracks so that precautionary measures can be taken.
Indian Railways has been expanding the deployment of intrusion detection technologies in wildlife-sensitive railway corridors across the country as part of broader efforts to reduce train–animal collisions. The Palakkad project forms part of these initiatives aimed at combining sensor technology and artificial intelligence to improve operational safety on rail lines passing through elephant habitats.
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