Accurate and timely recognition of wild animal species is very important for numerous management processes in nature conservation. In this text, we propose an power-efficient approach of classifying animal species in actual-time. Specifically, we current an image classification system on a low power Edge-AI system, which embeds a deep neural network (DNN) in a microcontroller that accurately recognizes completely different
Animal wildlife species species.
