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Brown hyenas in Namibia are elusive creatures, making them difficult to study. Researchers are collaborating with WildTrack to develop an AI system that can identify individual hyenas from their footprints. This innovative approach aims to enhance understanding of their behavior and habitat use without direct observation.
The AI tool, which currently identifies 17 different animals, will analyze hyena tracks in detail. By measuring various aspects of the footprints, the system can potentially reveal individual characteristics, including injuries. This technology not only aids research but also aims to protect the endangered brown hyena population.
• AI system identifies individual animals from their footprints.
• WildTrack's tool aims to enhance wildlife research and conservation efforts.
The article discusses how machine learning is used to analyze hyena footprints for identification purposes.
The automated identification system being developed aims to distinguish individual hyenas based on their unique tracks.
The reference library of hyena tracks serves as a data set for training WildTrack's machine learning system.
WildTrack is collaborating with researchers to develop an AI system for identifying brown hyenas.
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