Harnessing Artificial Intelligence

by Australian Wildlife Conservancy
Play Video
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence
Harnessing Artificial Intelligence


The key to reversing the decline in Australia's threatned wildlife is taking practical steps to deliver effective on-ground management. Technological innovations are providing exciting opportunities to achieve greater efficiencies and generate substantially better outcomes for biodiversity across the country. AWC is committed to trialling and deploying a suite of innovative new technologies in our science program and we welcome your support for this program.

total goal
monthly donors


Camera traps are essential tools for collecting data on species diversity and abundance. Traps are activated by motion sensors and record a colossal number of images: a 3 month survey alone can capture more than 500,000 photos! Around 60% of these images are set off by non-animal motion such as leaves blowing in the wind, making camera traps both a boon and a bane for AWC ecologists, as every image is checked manually. As a result, AWC is harnessing the power of technology to increase efficiency


The AWC AI Program has successfully developed the 'level 1' model. Excitingly, AWC has now built its first Species Classifier (level 2) model. This machine learning technology has been 'trained' to identify common species in a specific area. The next stage is to use footage obtained by thermal cameras mounted on drones to count or classify animals on sanctuaries. Trials are underway at AWC's Faure Island Wildlife Sanctuary off the coast of Western Australia.

Long-Term Impact

Continued improvements to the AI processing will enable AWC to count specific species and identify the existence of targeted feral species such as Feral Cats. This branch of the AI program requires industry leading research into analysing moving footage and attempt identification by thermal signature, or by specific motion type (e.g. 'hopping' vs 'hunting' motion of the animal). We also envisage developing a 'level 3' model that will identify individual animals based on their stripes or patterns

Additional Documentation

This project has provided additional documentation in a PDF file (projdoc.pdf).


Organization Information

Australian Wildlife Conservancy

Location: Subiaco, Western Australia - Australia
Facebook: Facebook Page
Twitter: @awconservancy
Project Leader:
Dani Ryder
Subiaco, Western Australia Australia
$0 raised of $177,859 goal
0 donations
$177,859 to go
Donate Now
Donating through GlobalGiving is safe, secure, and easy with many payment options to choose from. View other ways to donate

Australian Wildlife Conservancy has earned this recognition on GlobalGiving:

Help raise money!

Support this important cause by creating a personalized fundraising page.

Start a Fundraiser

Learn more about GlobalGiving

Teenage Science Students
Vetting +
Due Diligence


Woman Holding a Gift Card
Gift Cards

Young Girl with a Bicycle

Sign up for the GlobalGiving Newsletter

WARNING: Javascript is currently disabled or is not available in your browser. GlobalGiving makes extensive use of Javascript and will not function properly with Javascript disabled. Please enable Javascript and refresh this page.