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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-27
Number of pages4
ISBN (Electronic)9781728112299
DOIs
Publication statusPublished - 2018 Dec 24
Event2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018 - Taichung, Taiwan
Duration: 2018 Nov 302018 Dec 2

Publication series

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

Conference

Conference2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018
CountryTaiwan
CityTaichung
Period18/11/3018/12/2

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Keywords

  • Convolutional neural network
  • Deep learning
  • Image processing
  • Internet of things
  • Mosquito classification

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

Cite this

Huang, L. P., Hong, M. H., Luo, C. H., Mahajan, S., & Chen, L. J. (2018). A Vector Mosquitoes Classification System Based on Edge Computing and Deep Learning. In Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018 (pp. 24-27). [8588471] (Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2018.00015