MOSQUITOBELL2: A mosquito detection system through the timbre attribute of the wing-beat frequency using an acoustic sensor

Mosquitoes detection on the fly through their wing-beat frequency using sensors provides a way to have accurate data about mosquitoes’ species. Among many reasons why it remains difficult to fight malaria disease, entomologists and malaria research institutions mentioned the fluctuation of longitudinal data about mosquitoes and the lack of continuous monitoring to have real-time information about mosquitoes. Though some existing researches have been using acoustic sensors to detect mosquitoes through their wing-beat, they have never shown properly how detection is achieved. This paper will illustrate clearly how mosquito detection is achieved through the timbre property of its wing-beat frequency using an acoustic sensor. As a proof-of-concept, the experiment was carried out. Mosquitoes' wing-beats were recorded using acoustic sensors. Then, recorded data were processed by a computer program written in the python programming language, able to single-out unique features of mosquitoes’ wing-beats. Thus, the established concepts will pave the way for real-time mosquito monitoring, a step forward to the fight against malaria disease in African countries and South East Asia