The Noisy webpage allows you to combine this information into reports, including lists of the airplanes ranked from loudest to quietest, and when those loud events happened. Let’s look at some examples. This is a screen-shot that shows in the upper panel the measured noise levels (dBA, grey) and the detected flights (blue) between roughly 12:45 PM and 4:00 PM at a location close to Chicago O’Hare.

On the lower panel you see the distribution of noise a flights for a whole day in that location. The shaded area in grey shows you the same data as in the upper panel. The data in this screen-shot shows you what a Noisy device can do, but also what it cannot: consider the time period around 1:15 PM (upper panel). During that time period, there has been especially loud noise either from multiple planes simultaneously or possibly also other sources (such as construction or street cleaning machinery noise) that made it harder for our system to separate individual source noise information. Consequently, we do not know exactly how many airplanes have actually been flying over this location during that time-span, as the device was only able to detect two. Note the nighttime slow-down in flyover events before 4 AM and after 9:30 AM till about 11:00 AM (lower panel). As you can see, there also have been a flights detected very early in the morning.

Let’s look at the culprits – here are all the flights that were measured to be louder than 60 dBA for the same time period. The top of the list shows that there were 236 flyover events total, and 197 were louder than 60 dBA. The list itself shows when each event started and ended, how loud it was, the flight number and a hexadecimal airplane identifier, and the distance from the device:

The list can be sorted by each one of these criteria. Now all this individual data can be used to create some visualizations and statistics. Here, for example, is a graph that shows how many airplanes were detected hourly during a week, with each line representing a particular day of the week. The horizontal axis lists the hour (in 24-hour format), and the vertical axis the number of planes:

Another way to visualize this is in a so-called heatmap for weekly flyover events. Each row of the following table represents a day of the week, and each cell within a day represents an hour. The number in each cell shows flyover counts within the hour, and larger numbers are reflected by darker colors in the cell (showing higher flyover density or “heat”). The right-most column shows the total count of flights in a particular day.

But maybe you are rather interested in the number of loud planes per day? Well, here you can see it – each column represents a day, the height of the column the total number of planes per day, with the loudest planes in yellow, followed by the not so loud ones in green and blue:

Of course, if you would rather like to create your own data visualizations, you can simply download the data and create your own. Here is an example of a more artistic rendering (not available directly from the website) based on the downloadable data:

Each point represents a flyover event, and the darker the color, the louder the airplane – red dots represent the loudest airplane flyover events.
We hope we were able to convince you that each NOISY opens the door to the universe of noise measurement at your home. If you need to know exactly how loud it is at hour home and how often loud events occur, or need to convince someone else that this is the case, NOISY is for you.

Welcome to our GetNOISY Blog!

Here you will find updates on what is going on in the world of noise – specifically airplane noise – and what you can do about it. We all want to make this world a better place. So, let’s join forces and act now! We, for our part, created Noisy, the first fully automated airplane noise sensing & reporting system. It continuously and consistently monitors and automatically tracks airplane noise events and associated measurements including: dBA levels, start/end timestamps, date, and position. NOISY is the only cost effective AI-driven solution that provides you with spatial data you need to pursue further action. There are many ways how Noisy can benefit you:

(1) If you are suffering from airplane flyovers, you can finally provide proof to the FAA, your local airplane noise association, or your local politicians by installing a NOISY device at your home.

(2) If you are an educator and would be interested to partner with us, let us know – we’d love to work with you! We have packages for schools that allow you to teach students how AI works and what it can accomplish while training them to become citizen scientists. Please contact us at info@getnoisy.io

(3) If you want to help education in noise and its environmental impact while helping high-school kids to learn about and work with Artificial Intelligence, Internet of Things Networks and Edge Computing, contact us at info@getnoisy.io. We have partnerships with schools that use our technology in their curriculum and you can buy NOISY devices for them at a discounted price.

(4) If you are a researcher – we have special packages for you, too, that allow you to train our system for your own purposes. Contact us for details: info@getnoisy.io.

(5) If you want to join our growing community of citizen scientists – you can do that right now by installing a NOISY device at your home. Your contribution helps to determine where noise hurts people, checkbooks, and our planet. Join today!

We look forward to working with you. In the next few weeks, on this blog we will explore how noise affects your health, your kid’s education, your productivity, your wealth, and nature. Please let us know what you think!