MosquitoBell: A Mosquito Detection System
Cameroon is a lower-middle-income country located at the junction of West and Central Africa. It is home to around 26 million people. The backbone of its economy is based on agriculture. 70% of the population lives thanks to agriculture. According to WHO (The World Health Organization), Africa is the world region that is most affected by malaria: In 2017, the African continent held 90% of malaria cases. Many efforts have been carrying out to fight malaria. The various existing prevention systems, ranging from insecticide-treated nets, indoor residual spraying with insecticides to antimalarial drugs have obvious limitations. Also, the malaria parasite has begun to develop resistance to insecticides and drugs currently used. Mosquitoes, despite their size, are the biggest killers of the human race superseding by far humans themselves or any fearsome animal . Anopheles mosquito is the main transmission vector and the main cause of malaria. In this paper, I present “MosquitoBell”, the first version of a mosquito detection system aiming at detecting mosquito. Detecting mosquitoes is the first step to be achieved in order to develop a full system that will be able to monitor mosquitoes and provide real-time information to end-users, researchers on their mobile phones or personal devices. The MosquitoBell system is made up of sensors (Passive Infrared and Ultrasonic Sensors), a Camera, and a Raspberry Pi. The MosquitoBell system has been developed and tested. The results obtained enlighten us on the next move. This system is intended to be used alongside other technologies to come up with a holistic solution to fight mosquitoes, hence reduce the rate of malaria in Africa and the South-East Asia.
Keywords - Malaria, Mosquitoes, Passive Infrared, Ultrasonic, Raspberry Pi.