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Good practice Imported

TrailGuard AI at Similipal — Odisha's Forest Department Uses Edge-AI Cameras to Catch Poachers in a Melanistic-Tiger Reserve

India · Baripada · See the India profile

Evidence: Descriptive / self-reported Top 62% 53/100 · Ask Evidence Copilot about this practice

Odisha's Forest Department has scaled the AI-powered TrailGuard camera network to 220+ units in Similipal Tiger Reserve, transmitting human/animal/vehicle classifications within 40 seconds; a July 2026 sweep led to four arrests and seized firearms threatening its black tigers.

220 cameras
Camera network size, Similipal
<40 seconds
Alert relay time to control room

Details

Maturity
Scaling
Promoter
Odisha Forest Department (Similipal Tiger Reserve), with RESOLVE, the Global Tiger Forum and India's National Tiger Conservation Authority
Period
2022–2026
Keywords
wildlife conservation, forest law enforcement, anti-poaching, public safety

Context

Odisha's Forest Department has scaled up TrailGuard AI -- an edge-computing camera network originally piloted from 2022 by RESOLVE, the Global Tiger Forum and India's National Tiger Conservation Authority across five reserves -- into a 220-camera network inside Similipal Tiger Reserve, home to the world's best-known population of melanistic (black) tigers.

Results

Each camera classifies motion-triggered images as human, animal or vehicle using an onboard AI model, and relays a match to a central control room in under 40 seconds. In July 2026, an alert from the network led Podadiha Wildlife Range staff to arrest four people carrying two country-made guns inside the reserve. A peer-reviewed BioScience study of the technology's earlier deployment separately documented a poacher-gang arrest following detection of armed individuals on trails tigers were later found to use.

Conclusions

The evidence base is still young: the BioScience study covered only the first few months of field use, and neither Odisha's Forest Department nor RESOLVE has published false-positive/negative rates, a rigorous before-after poaching-rate comparison, or an independent cost-effectiveness review.

Implementation

Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Odisha Forest Department, RESOLVE, Global Tiger Forum, National Tiger Conservation Authority, Podadiha Wildlife Range staff

Conditions for success

  • onboard AI classification (human/animal/vehicle) with rapid alert relay enabling rangers to intercept intruders rather than only reviewing footage after the fact

Common failure modes

  • no false-positive/negative rates, rigorous before-after poaching-rate comparison, or independent cost-effectiveness review published

Commonly funded by

National / regional programmes LIFE Programme

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Data sources

Where this practice's information was retrieved from, and when.

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