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Revolutionary AI Surveillance System Prevents Train-Elephant Collisions in Coimbatore | - Times of India
Chennai: Wildlife deaths, including those of elephants, Indian Gaur, and leopards, while crossing railway tracks in the Madukkarai area of Coimbatore Forest Division, have significantly reduced thanks to an artificial intelligence (AI)-based surveillance system installed on the stretch seven months ago. On Sunday, State Forest Secretary P Senthil Kumar visited the area and observed the control room's operations, which monitor the AI system. According to official data, in between 2008 and 2024, 11 wild elephants, including calves and juveniles, were struck by speeding trains, with three fatalities occurring in 2021 alone. Following a directive from the National Green Tribunal, the Forest Department, in collaboration with railway authorities, developed the AI-based surveillance system, which was inaugurated in February this year. Since its installation, no wildlife deaths or injuries have been reported on the stretch, said Coimbatore Circle Conservator of Forests S Ramasubramanian. Ramasubramanian explained that the system consists of 12 towers fitted with thermal and normal cameras positioned 50 meters apart along the track in Bolampatti forests, covering key elephant crossing points. The cameras provide 150 meters of coverage on either side of the track, enabling early detection of animal movement. The detected data is transferred to the control room, where it is processed in real time. The control room staff, comprising frontline forest department personnel and a technical team working in shifts, monitor animal movements and notify train loco pilots via calls and SMS alerts. Additionally, hooters and digital display alerts are placed along the tracks to warn loco pilots of animals in the area, allowing them to take action in advance. The Forest Department and railway officials work closely, using the AI-generated information to prevent accidents, he said. Chennai: Wildlife deaths, including those of elephants, Indian Gaur, and leopards, while crossing railway tracks in the Madukkarai area of Coimbatore Forest Division, have significantly reduced thanks to an artificial intelligence (AI)-based surveillance system installed on the stretch seven months ago. On Sunday, State Forest Secretary P Senthil Kumar visited the area and observed the control room's operations, which monitor the AI system. According to official data, in between 2008 and 2024, 11 wild elephants, including calves and juveniles, were struck by speeding trains, with three fatalities occurring in 2021 alone. Following a directive from the National Green Tribunal, the Forest Department, in collaboration with railway authorities, developed the AI-based surveillance system, which was inaugurated in February this year. Since its installation, no wildlife deaths or injuries have been reported on the stretch, said Coimbatore Circle Conservator of Forests S Ramasubramanian. Ramasubramanian explained that the system consists of 12 towers fitted with thermal and normal cameras positioned 50 meters apart along the track in Bolampatti forests, covering key elephant crossing points. The cameras provide 150 meters of coverage on either side of the track, enabling early detection of animal movement. The detected data is transferred to the control room, where it is processed in real time. The control room staff, comprising frontline forest department personnel and a technical team working in shifts, monitor animal movements and notify train loco pilots via calls and SMS alerts. Additionally, hooters and digital display alerts are placed along the tracks to warn loco pilots of animals in the area, allowing them to take action in advance. The Forest Department and railway officials work closely, using the AI-generated information to prevent accidents, he said.
[2]
Ai Surveillance Ends Train-elephant Collisions In Coimbatore | - Times of India
Chennai: Wildlife deaths, including those of elephants, Indian Gaur, and leopards, while crossing railway tracks in the Madukkarai area of Coimbatore Forest Division, have significantly reduced thanks to an artificial intelligence (AI)-based surveillance system installed on the stretch seven months ago. On Sunday, State Forest Secretary P Senthil Kumar visited the area and observed the control room's operations, which monitor the AI system. According to official data, in between 2008 and 2024, 11 wild elephants, including calves and juveniles, were struck by speeding trains, with three fatalities occurring in 2021 alone. Following a directive from the National Green Tribunal, the Forest Department, in collaboration with railway authorities, developed the AI-based surveillance system, which was inaugurated in February this year. Since its installation, no wildlife deaths or injuries have been reported on the stretch, said Coimbatore Circle Conservator of Forests S Ramasubramanian. Ramasubramanian explained that the system consists of 12 towers fitted with thermal and normal cameras positioned 50 meters apart along the track in Bolampatti forests, covering key elephant crossing points. The cameras provide 150 meters of coverage on either side of the track, enabling early detection of animal movement. The detected data is transferred to the control room, where it is processed in real time. The control room staff, comprising frontline forest department personnel and a technical team working in shifts, monitor animal movements and notify train loco pilots via calls and SMS alerts. Additionally, hooters and digital display alerts are placed along the tracks to warn loco pilots of animals in the area, allowing them to take action in advance. The Forest Department and railway officials work closely, using the AI-generated information to prevent accidents, he said.
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A revolutionary AI-powered surveillance system has been implemented in Coimbatore, India, to prevent train-elephant collisions. The system has shown remarkable success, with no incidents reported since its installation.
In a groundbreaking development, the Palakkad division of Southern Railway has successfully implemented an artificial intelligence (AI) powered surveillance system to prevent train-elephant collisions in the Madukkarai forest area of Coimbatore district, Tamil Nadu 1. This innovative solution has proven to be a game-changer in wildlife conservation and railway safety efforts.
The AI surveillance system comprises a network of 12 cameras strategically placed along a 6km stretch of railway track passing through the elephant corridor. These cameras are equipped with advanced AI algorithms capable of detecting the presence of elephants near the tracks 2. When an elephant is detected, the system immediately alerts the loco pilots and station masters, allowing them to take prompt action to prevent potential collisions.
Since the implementation of this cutting-edge system in June 2023, there have been no reported incidents of train-elephant collisions in the area 1. This marks a significant improvement from previous years, where such incidents were a recurring problem. The system has detected elephants near the tracks on multiple occasions, each time successfully alerting railway officials and averting potential disasters.
The development and implementation of this AI surveillance system were made possible through a collaborative effort between the Southern Railway and a private company 2. Encouraged by the system's success, there are plans to extend its coverage to other elephant corridors in the region, further enhancing wildlife protection and railway safety.
This innovative use of AI technology not only ensures the safety of train passengers but also plays a crucial role in protecting the local elephant population. By minimizing the risk of collisions, the system helps maintain the delicate balance between human infrastructure and wildlife habitats 1. It serves as a model for how technology can be harnessed to address complex environmental challenges.
The success of this AI surveillance system has garnered attention from railway authorities and wildlife conservationists alike. Its effectiveness in preventing train-elephant collisions showcases the potential for AI-driven solutions in wildlife conservation efforts across India and potentially other parts of the world facing similar challenges 2.
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