DEVELOPMENT OF AUTOMATIC COUNTING AND IDENTIFICATION TRAP FOR MOSQUITO MONITORING

Dong Gun Kim1, Hyun Jung Kim2, Sumi Na2, Jae Seung Yoo3, Yeon Jae Bae4 and Hoonbok Yi2

Abstract

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 vector-borne infectious diseases.