Protect Endangered Species

by World Wildlife Fund - US
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Protect Endangered Species
Protect Endangered Species
Protect Endangered Species
Protect Endangered Species
Protect Endangered Species
Protect Endangered Species
Protect Endangered Species

Project Report | Jul 8, 2024
Protect Endangered Species: Using AI to Protect Wildlife

By Jenna Bailey | Associate Program Officer

WWF-Australia
WWF-Australia

Using Artificial Intelligence to Protect Wildlife  

As part of WWF’s conservation work, it is crucial to measure biodiversity – the variety of life in a given area – in order to understand how it is being impacted 

In 2020, bushfires swept through 73,000 square miles of Australia (about twice the area of Ohio), affecting an estimated 3 billion animals. Once the smoke cleared, WWF and other local conservation groups teamed up with Google to initiate a wildlife monitoring project called Eyes on Recovery. The project involved setting up a network of over 1,000 cameras across the landscape to understand how Australia’s endangered wildlife was recovering from the destruction.  

Camera traps are primary tools for collecting data on biodiversity. While these cameras can capture incredible wildlife images, they also collect thousands of photos without any animals at all. Advances in technology have led to faster camera sensors, larger memory cards, and longer-lasting batteries, resulting in an enormous amount of data. In most projects, up to 90% of images captured are false triggers - “blank” images of grass blowing, or rain or snow falling without any animals in the frame.  

Managing this volume of data can be overwhelming, especially for large-scale initiatives like Eyes on Recovery. To date, this effort has captured more than 7 million images. If a researcher took just two seconds to review each of the 7 million images during the normal work week, it would take around four years to finish.  

Wildlife Insights 

To handle this data more efficiently, WWF joined forces with other conservation organizations and Google to develop Wildlife Insights, an online platform that uses artificial intelligence to automatically filter out blank images, identify those containing wildlife, and identify the species in the photo (even if it’s just by the end of a tail or the tip of a nose). Using Wildlife Insights, the 7 million images could be sorted in a matter of weeks and more than 150 different species were detected.  

With the help of tools such as Wildlife Insights, information can now get into the hands of decision-makers more quickly, which is crucial for species like the endangered greater glider. A third of their habitat burned in the fires, including tree hollows that take over 250 years to form. As an emergency measure, WWF and partners installed artificial nest boxes and monitored them using the cameras, uncertain if the gliders would use their new homes. After analyzing the photos in Wildlife Insights, the team was thrilled to find that the gliders used every single one of the new boxes, allowing them to scale this effort quickly and confidently to a larger area.  

How You Can Help!  

With the increasing challenges facing biodiversity, continued innovation through technology partnerships like Wildlife Insights is essential. By supporting our projects and sharing them with your family, friends, and colleagues, you can help WWF make faster, more effective conservation decisions that benefit our ecosystems, local communities, and our planet. Together, we can make a difference in protecting endangered species populations and the precious ecosystems they inhabit around the globe! 

WWF-US / Emma Spencer
WWF-US / Emma Spencer
Josh Bowell
Josh Bowell

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Organization Information

World Wildlife Fund - US

Location: Washington, DC - USA
Website:
Facebook: Facebook Page
Twitter: @world_wildlife
Project Leader:
Cheron Carlson
Washington , DC United States
$12,884 raised of $1,000,000 goal
 
184 donations
$987,116 to go
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