Climate change and human exploitation of our planet has a significant influence on the habitat and existence of wild animals. The resulting biodiversity loss threatens ecosystems and the human development that depends on them. Protecting these habitats is based on delivering evidence by collecting data. This is usually labour intensive, since it depends on field work done by biologist and volunteers.
This master thesis tries to make a contribution to scale up this important process by using acoustic detection of animals using deep learning on embedded systems.
