Tamil Nadu’s AI-powered wildlife monitoring system near Coimbatore has successfully averted elephant fatalities on a vulnerable railway stretch. Over the past two-and-a-half years, the system has issued more than 7,100 real-time alerts, prompting train pilots to slow down or stop for safe elephant crossings.
The artificial intelligence-based camera network, situated at Puthupathi village in the Madukkarai Forest Range, has significantly reduced the risk of train-elephant collisions. This initiative is part of Tamil Nadu’s strategy to eliminate elephant deaths from train accidents in a critical wildlife corridor.
The project, combining AI technology, thermal imaging cameras, and continuous human monitoring, has ensured zero elephant fatalities on the monitored railway stretch. It has facilitated nearly 9,500 safe elephant crossings, with swift actions taken upon receiving alerts to prevent accidents.
The system’s integration with railway communication channels allows for immediate alerts to station masters and train pilots, ensuring coordinated efforts to safeguard wildlife. Forest and railway officials collaborate closely, sharing real-time updates on elephant locations to enhance response strategies and promote wildlife-railway coexistence.
The AI surveillance network, besides monitoring elephants, has also detected various other wild animals like gaur, deer, and leopards, expanding the region’s wildlife monitoring capabilities. Additionally, the deployment of AI-powered drones has strengthened the surveillance network, providing aerial monitoring for more effective response and safer wildlife-railway interactions.
