Chhattisgarh's Udanti-Sitanadi Tiger Reserve Implements AI Surveillance for Wildlife Protection

New Delhi, India Jul 13, 2026 ALN: Raipur: The state forest department has launched a pilot project deploying an Artificial Intelligence (AI)-based smart surveillance system in the Udanti-Sitanadi Tiger Reserve (USTR) in Chhattisgarh, marking a significant technological initiative in wildlife conservation and forest protection.

This project is part of a broader effort to enhance the management and protection of India’s wildlife reserves, which face numerous threats from poaching, habitat loss, and illegal trade. As the global population continues to expand and urban areas encroach on natural habitats, the need for innovative solutions to monitor and protect wildlife has become increasingly urgent.

Under the project, P2P (Point to Point) modules and trolley-mounted cameras installed on towers approximately 70-80 ft high will be used to conduct real-time monitoring of wildlife movements and illegal activities in remote and inaccessible forest areas of the reserve. This technology aims to provide forest officials with the tools necessary to keep a close watch on these vital ecosystems, which are often difficult to patrol due to their rugged terrain and dense foliage.

The trial of the pilot project was successfully conducted on Monday, according to a forest officer. The USTR is the first tiger reserve in the country where the AI-based smart surveillance system has been deployed for the conservation of wildlife and protection of the forest, as stated by the deputy director of the USTR, Varun Kumar Jain. This pioneering initiative places Chhattisgarh at the forefront of wildlife conservation efforts in India, showcasing how technology can be harnessed to address pressing environmental issues.

“The project is being initially implemented in strategically important ranges adjoining the Odisha border, namely Kulhadighat Range, Indagon Range, Risagaon Range, South Udanti Range, and Payalikhand North Udanti Range. These areas comprise dense forests and rugged plateaus and serve as critical movement corridors for elephants and other wildlife species. They are also considered vulnerable to narcotics trafficking, illegal wildlife trade, timber smuggling, and encroachment,” Mr. Jain explained. The choice of these specific ranges reflects a strategic approach to conservation, targeting areas that are not only rich in biodiversity but also face significant threats from human activity.

The AI-enabled cameras will automatically identify key wildlife species such as Asian elephants, tigers, leopards, and sloth bears. By employing advanced image recognition technology, the system can distinguish between different species and track their movements, providing invaluable data for researchers and conservationists. This capability not only aids in monitoring wildlife populations but also helps in understanding their behavior and habitat use, which is critical for effective management strategies.

In addition, the system will detect human activities involving poachers, illegal intruders, timber smugglers, and encroachers. The integration of AI in surveillance represents a significant leap forward in the fight against wildlife crime. Traditional methods of monitoring can be limited by human resources and physical barriers, but AI technology can operate continuously and efficiently, covering vast areas that would otherwise be challenging to patrol.

The significant feature of the system is that the surveillance units are fully portable and can be deployed at any location as required. This flexibility allows forest officials to adapt their monitoring efforts based on emerging threats or changes in wildlife patterns. The ability to quickly relocate surveillance equipment ensures that resources are utilized effectively, maximizing the impact of conservation efforts.

Whenever a wild animal or a suspicious person is detected, the system will immediately send WhatsApp alerts to frontline forest staff and officers, enabling rapid response and intervention. This real-time communication capability is crucial for timely action, whether it involves intercepting poachers or monitoring wildlife health. The use of familiar technology like WhatsApp also facilitates quicker training and adoption among forest staff, who can leverage existing communication tools to enhance their operational efficiency.

According to the forest officer, a key feature of the project is the provision of internet connectivity in remote forest areas through P2P (Point to Point) wireless communication technology based on a mesh network. This innovative approach to connectivity addresses a significant barrier in wildlife monitoring, as many remote areas lack reliable internet access. By establishing a robust communication network, the project ensures that surveillance data can be transmitted seamlessly, allowing for continuous monitoring and immediate response to threats.

This will facilitate uninterrupted video streaming and real-time surveillance even in dense forests and hilly terrain where conventional internet services are unavailable. The deployment of 4G/5G connectivity available in Mainpur will be extended to anti-poaching camps and forest outposts located 15-20 kms away. This expansion of connectivity not only enhances surveillance capabilities but also improves overall communication among forest officials, fostering a more coordinated approach to wildlife protection.

“The new technology is expected to play a critical role in detecting and preventing such activities while significantly reducing response times,” Mr. Jain concluded. The implications of this project extend beyond immediate wildlife protection; they also contribute to broader conservation goals within the region. By safeguarding critical habitats and protecting endangered species, the AI surveillance system can help maintain ecological balance and promote biodiversity.

The introduction of AI in wildlife conservation is part of a growing trend where technology is increasingly being utilized to address environmental challenges. Similar initiatives have been implemented in various parts of the world, showcasing the potential for AI to revolutionize conservation efforts. As more regions adopt these technologies, there is hope for a more effective global response to the threats facing wildlife.

Moreover, the success of the Udanti-Sitanadi Tiger Reserve project could serve as a model for other reserves across India and beyond. As wildlife populations continue to decline due to human activity, the need for innovative solutions has never been more critical. The lessons learned from this pilot project may inform future conservation strategies, leading to the development of even more sophisticated monitoring systems that can adapt to the evolving challenges of wildlife protection.

In conclusion, the deployment of an AI-based smart surveillance system in the Udanti-Sitanadi Tiger Reserve represents a significant advancement in the field of wildlife conservation. By leveraging technology to enhance monitoring and response capabilities, this initiative holds promise for the future of wildlife protection in India and could pave the way for similar efforts globally. As the project progresses, its impact will be closely watched by conservationists and policymakers alike, with the hope that it can contribute to the preservation of biodiversity and the protection of endangered species in the years to come.