Camera Traps Stories

In a park in British Columbia, Canada, WWF scientist Robin Naidoo has spent the past eight years using hidden cameras to capture how people and wildlife share the same trails. The pictures depict how human recreation and wildlife movement overlap.

These bridges help the Amazon’s tree-living species, such as porcupines, sloths, and monkeys, whose territories have become fragmented by human infrastructure.

Wildlife Insights is an online platform that uses artificial intelligence to automatically filter out all those pesky blank images, find the ones that contain wildlife, and identify which species is in a photo—even if it’s just the end of a tail or the tip of a nose! Wildlife Insights is currently able to identify 1,300 different species.

Months after their initial setup, the camera traps revealed the rich diversity of wildlife in one of the world’s oldest forests and what’s at stake if poaching, deforestation, and human-wildlife conflict are not addressed.

With a range of on-the-ground partners, the Eyes on Recovery team deployed camera traps in eight fire-affected regions to better understand the disaster’s impacts and how species are recovering.

From dense jungles to the Himalayas, tigers are an elusive species—hard to find and hard to count. But, thanks to the use of camera traps, the movements and behaviors of tigers are now less of a mystery.

WWF is helping to support Australia’s first large-scale collaborative camera trap project.

Launched in December 2019 by Google and a host of conservation partners, Wildlife Insights offers a simple upload system, cloud-based storage, and AI tagging and analysis.

New camera trap images reveal the highest-elevation sighting of a tiger in Nepal, captured at over 8,000 feet in a densely forested area.

New images from the Chico Mendes Extractive Reserve in the Brazilian Amazon show what conservationists have long known: that people harvesting trees responsibly can live harmoniously with animals.

The Land of the Leopard National Park is the core area for the Amur leopard. New images documented 84 adult cats and 19 cubs inside the park. This is a significant increase since a 2000 census recorded just 30 cats, and a 2015 survey numbered only 70.

 

For perhaps the first time ever, a snow leopard was captured by a camera trap in a remote forest in the Indian state of Arunachal Pradesh. Arunachal Pradesh remains largely unexplored, making this photographic evidence of snow leopards especially significant. 

In March, French photographer Emmanuel Rondeau ventured into the dense mountain forests of Bhutan.

Filmmaker and photojournalist Emmanuel Rondeau spent four weeks in the wildlife corridors of Bhutan with a camera trap poised to capture the elusive tiger. After weeks of waiting, a tiger appeared on the final day of the expedition. The result? The first high-resolution camera trap image of a wild tiger in Bhutan captured above 11,000 feet.

In a landscape largely undocumented by science, a researcher and a photographer team up to illuminate more than the night

In other words: Can livestock in the United States help us test thermal camera technology slated to protect rhinos in East Africa?