The cameras give Gabon wildlife rangers anew toolin the fight against poaching by capturing pictures of trespassers.
The systems can also monitor biodiversity loss by counting the number of animals in an area.
AI can differentiate between human figures and animal figures, for example, by posture or size."
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The system uses machine learning to analyze photos in real-time on the rig to detect animals and humans.
The traps alert rangers if an elephant, rhino, or human movement is detected.
Stirling University researcherRobin Whytockand a team of researchers tested an AI model to analyze camera trap data.
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The case study they used classified Central African forest mammalian and avian species.
“Only 5% are actual poachers.”
TrailGuard can save battery life.
Transmitting thousands of false-positive pictures over the course of several weeks runs down batteries.
“Battery life for sensors in remote areas is critical.”
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Wildlife monitoring could soon get even smarter.
Researchers are working onprogrammable AIembedded in cameras.
Currently, images must be retrieved from a camera and processed in the cloud.
But new capabilities allow for users to create customized AI agents and deploy them on cameras.
