Le pub de la Corona...

et que ce ne devrait pas être l'outil central de lutte contre l'épidémie...

des explications technique de comment ça fonctionne ce truc là?

The iBeacon protocol is meant to be capable of distinguishing three different proximity states: immediate (few centimeters), near (1–3 meters), far (none of the aforementioned). However, the manufacturer states that “it is critical to perform calibration”. The calibration described in the manual needs a beacon deployed to a known position. Since all BLE devices in our setting are mobile, this is not applicable. In this experiment, we investigate
whether RSS data can be used to infer proximity information, although none of the BLE devices involved has a fixed position

As we discussed earlier, partial occlusion with a human hand or body and other sensor noise may yield a very
low RSS value, despite the beacon being very close to the robot. Without any additional filtering methods or additional
assumptions, it is challenging to derive the precise human distance to the robot just by its signal strength.

However, one can infer that a high RSS value implies physical closeness. This is due to the lower possibility of a
beacon being occluded when closer to the receiving device. In addition, other radio noise interferes less since the signal does not have to travel a long distance. Thus, strong signal false positives are less expected.

Thus, we were able to distinguish between three different ranges: 1) Close, 2) in the same room, and 3) outside
the room. Although this observation is encouraging, further research is needed to verify this capability for other environments

Exemple :
Vous vivez avec quelqu'un qui a été testé positif..

CMB