Using facial recognition for bird conservation management

对重新引入的物种进行长期监测是衡量保护成功与否的关键。该项目旨在使用我们研究小组开发的一种新颖的非侵入性面部识别软件来衡量一种脆弱的本地鸟类在被引入到其历史范围之外后的恢复情况。该项目希望在动物监测领域产生新的知识。该项目的预期结果包括提高跟踪个体的能力和他们的坚持性，以更好地了解保护优先事项。这将为研究人员、政府机构和行业提供重大好处，以改善保护规划以及重新引入和其他移位的结果。

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.