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Artificial intelligence has emerged as a new weapon in the battle for wildlife conservation in Lopé National Park in Gabon. Through machine learning, an algorithm is now able to identify over 25 species for researchers in the Congo Basin, which otherwise would have been missed by humans.

Researchers from Stirling University, who have a long-running partnership with the Agence National des Parcs Nationaux du Gabon (ANPN), supported by funding from the European Union’s ECOFAC 6 programme, set up camera traps in the rainforest to monitor wildlife.

They teamed up with artificial intelligence company Appsilon to use image recognition technology, known as Mbaza AI, to analyse large numbers of photographs taken in the rainforest. The 200 cameras, spread out across the Lopé National Park, are triggered by motion sensors and each take hundreds of pictures per day.  

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