Our planet faces a global extinction crisis. UN Report shows a staggering number of more than a million species feared to be on the path of extinction. The most common reasons for extinction include loss of habitat, poaching, and invasive species. Several wildlife conservation foundations, research scientists, volunteers, and anti-poaching rangers have been working tirelessly to address this crisis. Having accurate and regular information about endangered animals in the wild will improve wildlife conservationists’ ability to study and conserve endangered species. Wildlife scientists and field staff use cameras equipped with infrared triggers, called camera traps, and place them in the most effective locations in forests to capture images of wildlife. These images are then manually reviewed, which is a very time-consuming process.
In this post, we demonstrate a solution using Amazon Rekognition Custom Labels along with motion sensor camera traps to automate this process to recognize engendered species and study

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