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Deciphering the Buzz

A project log for Solar Scare Mosquito 2.0

An open-source IoT platform to monitor and prevent epidemics such as Malaria, Dengue and the Zika Virus.

PranavPranav 10/05/2020 at 13:300 Comments

The most common way to identify mosquito-species present in a neighbourhoud are sentinel traps which attract mosquitoes using a combination of CO2, odour and light. While this is the most accurate method, it is expensive, labour intensive and slow as it needs to be carried out in a lab. 

There are also optical sensor-based solutions which are more accurate than microphone-based systems but they are expensive and not scalable. 

Finally, researchers in Stanford University, Oxford University and University of Glasgow are trying to use smartphones to capture the mosquito wing-beat frequency to map their population. Like these cutting-edge independent researchers, we are also exploring ways to overcome the following issues with microphone-based identification and counting of mosquitoes: 

Our main source of inspiration for the bioacoustic approach is this research at Prakash Lab, Stanford : "Using mobile phones as acoustic sensors for high-throughput mosquito surveillance" https://elifesciences.org/articles/27854

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