Using facial recognition for bird conservation management

使用面部识别进行鸟类保护管理

• 批准号: LP210200740
• 负责人: Dr Diane Colombelli-Negrel
• 金额: $ 10.13万
• 依托单位: Flinders University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP210200740
• 关键词: Using; facial; recognition; bird; conservation

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.

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。本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测量一种脆弱的本地鸟类物种在被引入其历史范围之外后的恢复情况。这个项目期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追踪个体的能力和它们的持久性，从而更好地为保护优先事项提供信息。这将为研究人员、政府机构和行业提供巨大的好处，以改善保护规划以及重新引入和其他迁移的结果。