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: 

• Minimising false-positives on account of background noise 
• Distinguishing the buzz from multiple mosquitoes at the same time 
• Taking into account (negligible) changes in the wingbeat frequency on account of ambient temperature, humidity, and maturity of a mosquito.

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