The Wildlife Watcher is an innovative, AI-powered, open-source smart camera trap developed to overcome the limitations of traditional wildlife monitoring methods.
It integrates embedded machine learning for real-time species identification and features modular sensors capable of monitoring diverse taxa, including small mammals, reptiles, and amphibians.
This rugged device processes images directly on the unit, sending immediate wireless alerts, which significantly reduces manual effort and operational costs.

 

ESSENTIAL BIODIVERSITY

Insects and reptiles represent a crucial part of our biodiversity.

They are involved in numerous ecosystem process like nutrient cycling, predation, and plant pollination.

 

CRYPTIC SPECIES

Their camouflage skills and small size often contributes to insufficient information about their ecology and conservation status.

Green gecko. Photo by Katie Ro.

 

OLD SCHOOL TOOLS

Current monitoring techniques of insects, reptiles and their predators have multiple limitations and drawbacks.

Footprints on a tracking card

 

CAMERA TRAPS?

Camera traps are a great potential tool to understand how to protect insect and reptile species.
Unfortunately, most commercially available cameras do not work for ectotherms (cold-blooded animals).

We are engineering and testing a device that takes videos of ground-dwelling invertebrates and herpetofauna (lizards/geckos).
The device is designed to be low-powered, open source and 3D print available.
See below some examples of the animals recorded.
Meet our rangers, alumni and project collaborators
Victor Anton

VICTOR ANTON

Project management

DARCY MADDREN

Software Development

TOMMY COPPELAND

Biology

Charles Palmers

CHARLES PALMER

Electrical engineering

Adarsh Lal

ADARSH LAL

Software Infrastructure

Meet our partners and sponsors making this project possible.

Department of Conservation

Toi Foundation

Google.org

Asian Venture Philanthropy Network

Air New Zealand

Powerco

PROJECT NEWS
  • Docker streamlines development!

Streamlining Wildlife Watcher Development with Docker

By |June 4, 2025|

Wildlife.ai relies on a global network of volunteer developers, data rangers, to build firmware for wildlife monitoring systems. To support this global team of volunteers and address the challenges of inconsistent development environments, we have implemented a Docker-based workflow. This solution streamlines onboarding, improves collaboration, and makes development more efficient and resilient.