Artificial intelligence (AI) is transforming wildlife monitoring through automated analysis of images and acoustic recordings for tasks such as detection, filtering irrelevant events, and species identification. Many current approaches rely on large models trained on extensive datasets and deployed in the cloud, including systems such as MegaDetector or SpeciesNet for camera-trap imagery and Bird…
To support adaptive management, Magaldi et al. have developed a deep-learning model to analyse ground-level camera traps in African tropical forests. A familiar problem If you work in wildlife research or protected-area management, you’ll know the feeling: camera traps are brilliant at “being there” 24/7 in dense forest, but they come with a hidden cost—an avalanche of photos and videos that some…
