A Vector Mosquitoes Classification System Based on Edge Computing and Deep Learning

Li Pang Huang, Ming Hong Hong, Cyuan Heng Luo, Sachit Mahajan, Ling Jyh Chen

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

In recent years, we have witnessed a sudden increase in mosquito-borne diseases and related casualties. This makes it important to have an efficient mosquito classification system. In this paper, we implement a mosquito classification system which is capable of identifying Aedes and Culex (types of the mosquito) automatically. To facilitate the implementation of such Internet of Things (IoT) based system, we first create a trap device with a stable area for filming mosquitoes. Then, we analyze video frames in order to reduce the video size for transmission. We also build a model to identify different types of mosquitoes using deep learning. Later, we fine-tune the edge computing on the trap device to optimize the system efficiency. Finally, we integrate the device and the model into a mosquito classification system and test the system in wild fields in Taiwan. The tests show significant results when the experiments are conducted in the rural area. We are able to achieve an accuracy of 98% for validation data and 90.5% for testing data.

原文英語
主出版物標題Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面24-27
頁數4
ISBN(電子)9781728112299
DOIs
出版狀態已發佈 - 2018 十二月 24
事件2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018 - Taichung, 臺灣
持續時間: 2018 十一月 302018 十二月 2

出版系列

名字Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018

會議

會議2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018
國家臺灣
城市Taichung
期間18/11/3018/12/2

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

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