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AI system to track animals on 15km rail stretch, smart sensors will warn loco pilots of wildlife crossings

AI system to track animals on 15km rail stretch, smart sensors will warn loco pilots of wildlife crossings

Time of India10-07-2025
Dehradun: An Artificial Intelligence (AI)-powered intrusion detection system was cleared for installation along the 15km Motichur-Raiwala railway stretch to prevent wildlife from being hit by speeding trains.
Officials identified five key points on this stretch as highly vulnerable to animal crossings and plan to deploy sensors and alarms to alert train operators and forest teams. The test run of the system will begin this week.
Rajeev Sharma, senior consultant from the team implementing the system, said they received the go-ahead from the chief wildlife warden. He added that the animal intrusion system uses fibre optics and Distributed Acoustic Sensing (DAS) to detect animal movements close to the tracks.
"It can also sense other activities like train movement, digging and cable damage. Once the system picks up an acoustic signal, it immediately sends alerts to the station master, loco pilot, and frontline forest staff. Alarm hooters and audio-video signals are also triggered for faster response. This system will significantly improve animal safety and enhance railway security by giving advance warning of wildlife movement," Sharma said.
by Taboola
by Taboola
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The state has a high density of wildlife including tigers, leopards, elephants, and ungulates. As per forest department data, elephants and leopards are among the most frequently hit species, especially in the Shivalik Elephant Reserve, which spans Garhwal and parts of Haldwani, Tanakpur, and Ramnagar in Kumaon. Since Uttarakhand was formed, at least 12 elephants have been killed by trains on this route.
Similar systems have already been tested along elephant corridors in Kerala, Tamil Nadu and Odisha.
These use buried fibre optic cables to detect movement and vibration up to 30-40 metres from the track. In Tamil Nadu's Walayar-Kanjikode section, trials showed successful real-time alerts sent to station staff and train pilots. The technology was also trialled along the Howrah-Mumbai route, using elephants during testing to calibrate detection accuracy.
Globally, DAS has found wider railway applications, from detecting rockfalls to sensing rail fractures and trespassing. By turning existing fibre infrastructure into large-scale acoustic sensors, railways can track multiple hazards in real-time.
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