ANIFACE: Animal Face Recognition

Facial recognition is a problematic technology, especially when it is used to monitor people. However, it also has potential, for example with regard to the recognition of (individuals of) animals. Prof. Dr. Oliver Bendel had announced the topic “ANIFACE: Animal Face Recognition” at the University of Applied Sciences FHNW in 2021 and left the choice whether it should be about wolves or bears. Ali YĆ¼rekkirmaz accepted the assignment and, in his final thesis, designed a system that could be used to identify individual bears in the Alps – without electronic collars or implanted microchips – and initiate appropriate measures. The idea is that appropriate camera and communication systems are available in certain areas. Once a bear is identified, it is determined whether it is considered harmless or dangerous. Then, the relevant agencies or directly the people concerned will be informed. Walkers can be warned about the recordings – but it is also technically possible to protect their privacy. In an expert discussion with a representative of KORA, the student was able to gain important insights into wildlife monitoring and specifically bear monitoring, and with a survey he was able to find out the attitude of parts of the population. Building on the work of Ali YĆ¼rekkirmaz, delivered in January 2022, an algorithm for bears could be developed and an ANIFACE system implemented and evaluated in the Alps. A video about the project is available here.