3 ms·
Or Bluetooth. There are some problems (like MAC randomization) to get a real tracking with BLE, but to have a rough estimation, it's a good technique. And you c
by lormayna 2y ago
Or Bluetooth. There are some problems (like MAC randomization) to get a real tracking with BLE, but to have a rough estimation, it's a good technique.
And you can do it with just an ESP32.
- JohnBooty 2y agoHmmm... interesting. How would that work? Just count the number of BT signals in a room? How many BT devices is the average student or faculty member toting around with them at a given point? Could conceivably be 4+ with some combination of: phone, smartwatch, tablet, BT speaker, game device, etc.
- lormayna 2y agoThe idea is to scan every minutes for BLE MAC Addresses and send to a backend. On the backend you can identify what is the manufacturer of every MAC addresses and make some correlation. A very simple idea is to filter only the phone MAC addresses and use as presence counter estimator; it's a bit unlikely that a university student will have more than one phone. A better method would try to correlate not random MAC addresses (headphones, BLE trackers, wearebles, etc) that are frequently together and mark as a single person.