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A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas

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Artificial Intelligence for Sustainable Development

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

The forest is a natural territory for wildlife species like animals, birds, trees, and shrubs. Precision monitoring of wild animals and birds is important to save the biodiversity. Wild life monitoring is important to maintain the richness of biodiversity; to save the rare animals, birds, and plants; and to monitor the population of wild species. The manual monitoring and surveying are difficult due to the vast area, which is also a time-consuming process. So automatic wildlife monitoring system introduced a modified YOLO model, Recurrent You only look once (ROLO) for surveillance. The experimental results present a hopeful result in identification of wild animals and birds. Particularly, the model setup was compared with other deep learning models, and proved that the proposed model has high precision rate than other models.

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Authors and Affiliations

  1. Centre for Future Networks and Digital Twin, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Anandakumar Haldorai

  2. Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Babitha Lincy R, Suriya Murugan & Minu Balakrishnan

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  1. Anandakumar Haldorai
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  2. Babitha Lincy R
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  4. Minu Balakrishnan
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Haldorai, A., R, B.L., Murugan, S., Balakrishnan, M. (2024). A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas. In: Artificial Intelligence for Sustainable Development. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-53972-5_25

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  • DOI: https://doi.org/10.1007/978-3-031-53972-5_25

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