Development of automatic counting and identification trap for mosquito monitoring

Dong Gun Kim, Hyun Jung Kim, Sumi Na, Jae Seung Yoo, Yeon Jae Bae, Hoonbok Yi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


To efficiently collect mosquito monitoring data, an automatic device was developed with intention to attract and catch female mosquitoes, count the number of trapped mosquitoes, and identify mosquitoes through image analysis. In addition, the device was able to send collection and identification data to an offsite server via a long-term evolution router module (WCDMA; Wideband Code Division Multiple Access, CDMA; Wideband Code Division Multiple Access). Compared to manual inspection, the device selectively attracted mosquitoes at a rate of 80 ± 24% and, based on image analysis, classified mosquitoes with 90% accuracy. The device was designed as a combined information and communication technology research tool to facilitate long-term mosquito monitoring and could serve as a basis for the establishment of a model surveillance system for vectorborne infectious diseases.

Original languageEnglish
Pages (from-to)280-287
Number of pages8
JournalSoutheast Asian Journal of Tropical Medicine and Public Health
Issue number3
Publication statusPublished - 2020 May

Bibliographical note

Publisher Copyright:
© 2020, SEAMEO TROPMED Network. All rights reserved.


  • Counting
  • Identification
  • Monitoring
  • Mosquito
  • Surveillance

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Infectious Diseases


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