4.7 Article

The Future of Artificial Intelligence in Monitoring Animal Identification, Health, and Behaviour

期刊

ANIMALS
卷 12, 期 13, 页码 -

出版社

MDPI
DOI: 10.3390/ani12131711

关键词

artificial intelligence; orangutan; Pongo abelii; animal behaviour; animal health; identification; monitoring; conservation

资金

  1. Mitacs Accelerate postdoctoral fellowships
  2. Toronto Zoo Wildlife Conservancy (Toronto, ON, Canada) [IT23450]
  3. EAIGLE Inc. (Markham, ON, Canada) [IT25818]
  4. NSERC (Natural Science and Engineering Research Council of Canada, Ottawa, ON, Canada) [456426328]

向作者/读者索取更多资源

Due to climate change and human interference, many species are on the brink of extinction and without habitats. The existence of zoos and other conservation spaces allows for the preservation of non-human animals and the education of the public about endangered species and ecosystems. Monitoring the health and well-being of animals in care is critical for zoo and conservation staff. This paper focuses on existing technology to monitor animals and proposes a novel computer software using artificial intelligence to track individual animals' location, estimate position, and analyze behavior unobtrusively and non-invasively.
Simple Summary Due to climate change and human interference, many species are now without habitats and on the brink of extinction. Zoos and other conservation spaces allow for non-human animal preservation and public education about endangered species and ecosystems. Monitoring the health and well-being of animals in care, while providing species-specific environments, is critical for zoo and conservation staff. In order to best provide such care, keepers and researchers need to gather as much information as possible about individual animals and species as a whole. This paper focuses on existing technology to monitor animals, providing a review on the history of technology, including recent technological advancements and current limitations. Subsequently, we provide a brief introduction to our proposed novel computer software: an artificial intelligence software capable of unobtrusively and non-invasively tracking individuals' location, estimating position, and analyzing behaviour. This innovative technology is currently being trained with orangutans at the Toronto Zoo and will allow for mass data collection, permitting keepers and researchers to closely monitor individual animal welfare, learn about the variables impacting behaviour and provide additional enrichment or interventions accordingly. With many advancements, technologies are now capable of recording non-human animals' location, heart rate, and movement, often using a device that is physically attached to the monitored animals. However, to our knowledge, there is currently no technology that is able to do this unobtrusively and non-invasively. Here, we review the history of technology for use with animals, recent technological advancements, current limitations, and a brief introduction to our proposed novel software. Canadian tech mogul EAIGLE Inc. has developed an artificial intelligence (AI) software solution capable of determining where people and assets are within public places or attractions for operational intelligence, security, and health and safety applications. The solution also monitors individual temperatures to reduce the potential spread of COVID-19. This technology has been adapted for use at the Toronto Zoo, initiated with a focus on Sumatran orangutans (Pongo abelii) given the close physical similarity between orangutans and humans as great ape species. This technology will be capable of mass data collection, individual identification, pose estimation, behaviour monitoring and tracking orangutans' locations, in real time on a 24/7 basis, benefitting both zookeepers and researchers looking to review this information.

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