We have a team of data engineers in data science and PhD's measuring all the signals we receive from the beacons and performing algorithms (e.g. trilateration, least squared etc) and combining this with positioning signals we can process based on positioning of the device. The trick is to account for different devices, different antenna placement on models etc. So over time we build a database that improves accuracy based on usage. Regarding people being present, we can account for that if we predict that signals are reflecting differently based on estimated density. These are super challenging problems so we have a team dedicated to it, and iterate quickly.
