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A Monitoring System for Migratory Bird Beijing Swift with Object Detection

  • He Li,
  • Zixuan Wang,
  • Manming Zhao

摘要

This project outlines the development of an intelligent assistant application (APP) for the Beijing Swift Survey Project in 2022, which uses advanced data collection and processing techniques. The system employs an object detection algorithm to monitor and count swifts accurately, improving the accuracy of swift counting processes while streamlining data collection. Furthermore, the system utilizes the Internet for increased publicity and aims to enhance the user experience through continuous optimization and innovative features. The Beijing Swift Survey Project is to assess the conservation status of swifts in Beijing and is an essential component of the city’s biodiversity conservation efforts. The use of artificial intelligence can significantly improve the efficiency and accuracy of data collection, which can have far-reaching implications for ecological research and conservation efforts. The development of this APP represents a promising solution to challenges faced in swift monitoring, and it can potentially become a model for monitoring other bird species in the future.