We’ve acknowledged the problem: noise pollution. It is here, we’re all experiencing it, now what can we do about it?
We could monitor individual noises, such as drilling or music. But that doesn’t paint the whole picture. That’s why Soundsensing has developed a noise monitor that collects data that comes from a variety of sources. The reason for that is that noise pollution IS a variety of sources. Taking away traffic, for example, won’t solve the problem. Traffic as well cannot be described as one noise; there are plenty of things going on in the road, and different transportation spreads different noise. The same could be said about construction. There is a lot of different machinery at work at the construction site.
Knowing the full scale of different noise is very important. When added up, it paints the whole picture. Which areas are more affected by traffic? Will a school that is located near a construction site have different experience when the construction is finished, or will other noises that surround it add up to the value of the construction site noise? Do patients feel any difference being in a hospital that is relatively close to an airport than the one that is in the middle of a busy city centre?
Soundsensing noise monitor has been developed to work through an app that will send you the data of your chosen area that is being monitored. Through machine learning, it collects the noise and is able to differentiate the source, so you get all the data to your device. The beauty of the monitor is that it can be used in many ways; it does not necessarily need to tackle the noise pollution problem. It could be for privacy purposes, as an example.
As we like to say ‘data is magic’ and we are very excited to share that magic with you.