UN SDG #15 Life on Land UN SDG #15

challenge

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Automating Wildlife Identification for Research and Conservation

Camera traps can't yet automatically label the species they observe. It takes the valuable time of experts, or thousands of citizen scientists, to label this data. Advances in artificial intelligence and computer vision hold enormous promise for taking on intensive video processing work and freeing up more time for humans to focus on interpreting the content and using the results.

challenge

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Automating Wildlife Identification for Research and Conservation

Camera traps can't yet automatically label the species they observe. It takes the valuable time of experts, or thousands of citizen scientists, to label this data. Advances in artificial intelligence and computer vision hold enormous promise for taking on intensive video processing work and freeing up more time for humans to focus on interpreting the content and using the results.
183M
people impacted
$44.7B
potential funding
the problem
Nature and Context

Animal and environmental conservation and research work is critical to maintaining our planet and the diverse species that inhabit it. Prior to the technological advances of the past few decades, researchers and experts have had to dedicate hours and days of their time to observing habitats, the majority of that time being spent waiting between sightings of the animal in question.

Camera traps have significantly aided experts and researchers. But now the task is in the sifting through of the camera trap image captures to identify the animals, differentiate between animals triggering the image capture versus the wind or other non-animal triggers. Currently, too many hours are spent in identifying and sifting through camera trap images. Efficiencies are needed in this area, and there is immense promise in applying artificial intelligence and computer vision to intensive video processing work and freeing up more time for humans to focus on interpreting the content and using the results.

Symptoms and Causes
the impact
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who benefits from solving this problem
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financial insights
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ideas
Ideas Description

There is immense promise in applying artificial intelligence and computer vision to intensive video processing work of camera traps for animal conservation. This could free up experts to dedicate their skills and time to interpreting the content and using the results to make meaningful impact on animals, ecosystems, and the planet.

Ideas Value Proposition
Ideas Sustainability
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Giving Tech Labs Team - giving.tech