Using facial recognition for bird conservation management

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Long-term monitoring of reintroduced species is essential to measure conservation success. This project aims to use a novel and non-invasive facial recognition software developed by our research group to measure the recovery of a vulnerable and native bird species following introduction outside of its historic range. This project expects to generate new knowledge in the field of animal monitoring. Expected outcomes of this project include improved ability to track individuals and their persistence to better inform conservation priorities. This should provide significant benefits to researchers, government agencies and industries to improve conservation planning as well as the outcomes of reintroductions and other translocations.