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This paper proposes a hardware system for detecting birds and flying mammals within their habitats. The complete architecture is presented, including artificial intelligence algorithms, a processor, and advanced monitoring devices, namely a camera and a microphone. A description is provided of the role fulfilled by each of the components that make up the architecture, as well as of the protocols and interconnections among them. As the system is designated to operate in remote areas under severe weather conditions, conditioning elements have been installed to guarantee optimal performance. Additionally, due to the absence of an electric grid, the system’s power needs are quantified to facilitate the choice of devices for renewable energy harvesting. The system has been proven to be suitable and has performed well in preliminary tests under controlled conditions.

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Birds and Other Animals Detection Through Artificial Intelligence: A Full-System Architecture

  • 会议论文

  • 发表日期：

    2025年

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  • Albano Carrera,
  • Sergio Alonso-Rollán,
  • Guillermo Redondo-Galán,
  • Raúl García Serrada

摘要

This paper proposes a hardware system for detecting birds and flying mammals within their habitats. The complete architecture is presented, including artificial intelligence algorithms, a processor, and advanced monitoring devices, namely a camera and a microphone. A description is provided of the role fulfilled by each of the components that make up the architecture, as well as of the protocols and interconnections among them. As the system is designated to operate in remote areas under severe weather conditions, conditioning elements have been installed to guarantee optimal performance. Additionally, due to the absence of an electric grid, the system’s power needs are quantified to facilitate the choice of devices for renewable energy harvesting. The system has been proven to be suitable and has performed well in preliminary tests under controlled conditions.