Project overview
An intelligent monitoring system was deployed in Lopé National Park, Gabon to upgrade conventional camera traps with on-device AI capabilities and connectivity for remote rainforest environments. The initiative transformed offline devices into smart tools enabling real-time detection of humans and wildlife.
Challenge
Field researchers faced significant logistical barriers. Rangers and researchers often install camera traps deep in the field, then return much later to collect images — a process that is slow, risky and resource-intensive. Equipment loss or damage before retrieval can result in months of lost data, while delayed image access hampers rapid response to illegal activities.
Solution
The prototype integrated three core elements:
- Wireless image transfer from camera trap to processing unit
- On-device AI analysis for event identification
- Real-time alerting without requiring physical site visits
Impact
The system demonstrated reliable operation in challenging rainforest conditions while improving conservation research, species monitoring, behavioral tracking, and ranger safety through enhanced situational awareness. This pilot formed the foundation for Instant Detect — a scalable platform for wildlife and human-activity detection now used across multiple deployments.
Published research
The Lopé deployment is documented in a peer-reviewed methods paper in Methods in Ecology and Evolution. Read the full open-access paper: doi.org/10.1111/2041-210X.14036.
We also produced a feature documentary about this project — see Hack The Planet — The Documentary.
