We developed the smart mosquito counter device (height 1080 mm x width 560 mm x diameter 320 mm, 220V 60Hz 30 W), which can attract the blood sucking female mosquitoes by emitting CO2 gas (300ml/min), can count the number of the captured mosquitoes by an infra-red beam area sensor, can identify the some mosquito species by analyzing mosquito image patterns using RGB (Red, Green, and Blue), and can send the captured mosquitoes’ number and pictures through the CDMA module at the real time. We operated the smart mosquito device and we could know when any mosquito peak time was in a day as well as what the mosquito species are and the captured mosquito numbers are. We found that the accuracy of the smart device was about over 95% compared the real mosquito data including numbers and images and transmitted data by CDMA. Because we can know the mosquito occurrence peak times, locations, and mosquito species by this device, we can efficiently control mosquitoes at the right time, and we can alert the public for any mosquito-born diseases based on the mosquito occurrence data. We can improve the quality of mosquito vector control with the functions of this device and we will develop the smart device to identify more mosquito species.

We are currently developing the smart mosquito counter device (height 1080mm × width 560mm × diameter 320mm, 220V 60Hz 30W), which can attract the blood sucking female mosquitoes by emitting CO2 gas (300ml/min), can count the number of the captured mosquitoes by an infra-red beam area sensor, and can send the captured mosquitoes’ number through the CDMA module at real time. We operated the 8 – 16 devices with mosquito sensor networks and a server at the Youngdeungpo-gu areas in Seoul city of south Korea for three years (2011-2013) and we could efficiently control mosquitoes at the high mosquito density area based on the mosquito sensor’s data. We found that the accuracy of the device was about over 93% compared the real mosquito data and transmitted data by CDMA. We also found the water reservoir areas to control floods in Seoul metro city had relatively higher mosquito density than other normal areas, because those flat water areas were preferred by mosquitoes. Because our pest control office knew the mosquito occurrence peak times and areas from mosquito data transmitted by the mosquito sensor devices, we efficiently controlled mosquito larva and adults at the right time. We could accomplish very systematic mosquito control policy and we had the high credibility with the results. Based on the mosquito occurrence data, we selectively and scientifically controlled mosquitoes. Therefore, we reduced pesticide usage and saved annually pesticide expenses up to 2/3. Conclusively, if there is no mosquito, we don’t have to control mosquitoes.