CrowdScan’s innovative solution only uses sensors or nodes, a central gateway to configure the wireless sensor network, low-energy radio waves and cloud servers where all the data is processed and visualized.
Imagine this: you want to measure a crowd in a busy shopping street. We’ll place multiple sensors at both sides of the street and a second at the other end. We put the central gateway within reach of both sensors, in a radius of about 200 meters. This gateway not only configures the wireless sensor network, but also sends results to the servers.
Then, each sensor emits a low power electromagnetic signal at a frequency of 868 MHz. If shoppers are present in the area, the other sensor receives this signal in a weakened form. Research has shown that this reduced signal due to the presence of people is linear with the number of people there.
Meaning: if a lot of people are present in the shopping street the signal will be severely reduced in comparison to the reference measurement (which will be executed before the actual measurements).
After the measurements all the data are pushed into our analytics and algorithms to provide the right insights and predictions.