This repository contains the code used during an handson.io tech talk aiming at demonstrating the basics of the BLE communication in Raspberry Pi
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README.md

Discover Noble !

This repository contains the code used during an handson.io tech talk aiming at demonstrating the basics of the BLE communication in Raspberry Pi using Noble

Setup your raspberry Pi Zero W with these instructions to be able to properly run the course.

Go to the root directory to run the following examples

Adapter state - Powering on and off

Demonstrates the detection of the Bluetooth adapter state by noble.

Live example (in French) on Youtube here

npm run adapter-state

Open a new terminal session on the Raspberry Pi and play with the state of the adapter

$ bluetoothctl
$ power off
$ power on
$ quit

You can also use the deprecated hciconfig to configure the state of the adapter, the default bluetooth adapter is usually on hci0.

Power off:

hciconfig hci0 down

Power on :

hciconfig hci0 up

Typical console output :

adapter state : poweredOn
adapter state : poweredOff
adapter state : poweredOn

Scan

Demonstrates the scanning of the surrounding devices but also demonstrate the behaviour of some beacons which advertise their payload but change their MAC address (they use a random address type). The Estimote stickers with firmware revision 1.0.0 and 1.0.1 are used in the live demo. The MAC address of a device is a bad identifier for beacons, better to look inside the payload.

Live example (in French) on Youtube here

npm run scan

Typical console output :

c0e10a447c39  Surge     -71 true  random
f4e10a647c01            -55 true  public
d3e10b447cd1            -67 true  random
a2e10a448c37  Charge HR -49 true  random
...

Scan Duplicates

Demonstrates that the scanning with the duplicates allow the receiver to see the changing Received Signal Strength Indicator of the surounding devices. Measuring the RSSI as often as possible is a pre-requisite to compute the proximity of the advertising device.

npm run scan-duplicates

Indoor Location

Demonstrates the filtering the RSSI with Kalman filters to better estimate the position of a BLE device advertising as an iBeacon (standard defined by Apple in 2013 including the calibrated RSSI @ 1 meter whitin the advertised payload).

Live example (in French) on Youtube here

npm run indoor-location