AI Users in a New Era of Wildlife Security
AI TrailGuard System Transforms Wildlife Surveillance in Similipal: The use of artificial intelligence in forest management is reshaping India’s approach to wildlife conservation. At the heart of this transformation is the Similipal Tiger Reserve in Odisha, where TrailGuard AI has been deployed to combat poaching and safeguard endangered species. This cutting-edge surveillance solution enables real-time detection of illegal movements, allowing authorities to take rapid action before damage is done.
The Rich Biodiversity of Similipal
Nestled in the Mayurbhanj district of northern Odisha, Similipal spans over 2,750 square kilometres and is renowned for its lush forests, grasslands, and iconic waterfalls such as Barehipani and Joranda. It forms a core part of the Mayurbhanj Elephant Reserve, alongside Hadgarh and Kuldiha sanctuaries. The region’s elevated landscape, with peaks like Khairiburu and Meghashini, supports a diverse range of flora and fauna. Its ecological significance earned it the title of UNESCO Biosphere Reserve in 2009.
How TrailGuard AI Works
The TrailGuard AI system consists of miniature hidden cameras embedded with intelligent detection software. These devices remain inactive to conserve power but are triggered by motion. Within seconds, the AI processes the image to identify whether it is a human, animal, or vehicle, and sends the photo to forest control stations in under 40 seconds. This prompt response allows forest officials to intervene before poachers can act.
Tangible Outcomes of AI Surveillance
The results in Similipal have been impressive. Within a year of deploying TrailGuard AI, 96 poachers were apprehended, and 86 illegal firearms were confiscated. The technology has made it easier to monitor remote areas and track suspicious activity. Authorities believe that the continued expansion of such AI tools could reduce poaching by as much as 80% in high-risk zones.
Balancing Security and Community Needs
While the AI system has deterred illegal activities, it has also impacted local communities who depend on forest resources. Some villagers are now hesitant to enter protected zones, fearing misidentification. To address this, forest officials are conducting awareness campaigns and engaging with local residents to ensure that security measures do not interfere with sustainable livelihood practices.
Expanding AI to Other States
Given the success in Odisha, the TrailGuard AI network has now been adopted by Madhya Pradesh and Uttar Pradesh. Beyond anti-poaching operations, the system holds potential for monitoring animal behavior, reducing human-wildlife conflict, and enhancing scientific research. Its camouflaged design, long battery life, and cost-effectiveness make it a valuable addition to India’s conservation arsenal.
Static GK Snapshot
| Topic | Details |
| Reserve Location | Mayurbhanj District, Odisha |
| Geographical Area | 2750 sq.km |
| Project Tiger Declaration | 1973 |
| Wildlife Sanctuary Notification | 1979 |
| National Park Area (Proposed) | 303 sq.km (1980) |
| UNESCO Biosphere Recognition | 2009 |
| Key Waterfalls | Joranda and Barehipani |
| Prominent Peaks | Khairiburu and Meghashini (1515 m) |
| AI Tool Used | TrailGuard AI |
| Yearly Impact | 96 poachers caught, 86 weapons seized |
| Other States Using It | Uttar Pradesh, Madhya Pradesh |
| Core AI Feature | Instant image processing and alert generation |
