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Python code for getting the RSSI value of a Bluetooth device by address. Based on the value returned, can determine the proximity of the device.
This code was ported to Python 3 based on this repository, primarily for use in Home Assistant.
Requirements
This code requires the bluetooth and python-bluez modules to be installed. On Ubuntu/Debian systems, this can usually be done with the following commands:
Note: Your system must also have a Bluetooth adapter.
Installation
Examples
test_address.py
This is a simple script to scan and output the RSSI value of a Bluetooth address in a loop. This can be used to test if the code is working on your setup and also to output the detected RSSI values as you move your Bluetooth device closer/further from the Bluetooth adapter.
Use Ctrl + C to exit the script or wait until number of loops has finished.
bluetooth_scanner.py
An example script that uses threads to scan for bluetooth addresses in a loop and invokes a callback function when the RSSI value is within a specified threshold.
Edit the script and set the BT_ADDR_LIST variable to the list of bluetooth addresses to scan.
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Use Ctrl + C to exit the script.
lnsm.py (Log Normal Shadowing Model)
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An example script to scan & output the distance between two bluetooth devices using the RSSI value . The distance between the two devices is calculated using the Log-Normal Shadowing Model/Log-Distance Pathloss Model.
Use Ctrl + C to exit the script or wait until number of loops has finished. Recommended number of loops = 30
Notes
- The RSSI values returned will differ depending on your Bluetooth devices and your surroundings (e.g. are there walls/obstructions, multiple floors, etc).
- Use the test script mentioned above to see what values are returned in your setup.
- RSSI values may be positive or negative integers. You can use the absolute value (i.e. always positive) if you see both.