Indoor positioning of iBeacon tags (tagged people, dogs, cats and objects) by trilateration.
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README.md

iBeacon-indoor-positioning-demo

Indoor positioning of iBeacon tags (tagged people, dogs, cats and objects) with trilateration.

Mosquitto

Edit mosquitto-demo.conf -file. Set the path to acl files, like:

acl_file /home/w3/Downloads/iBeacon-indoor-positioning-demo/mosquitto_acl.config password_file /home/w3/Downloads/iBeacon-indoor-positioning-demo/mosquitto_pw.config

Start mosquitto with command: mosquitto -v -c ./mosquitto-demo.conf

MQTT users are "station" and "dashboard" and all passwords are "bledemo".

See https://github.com/jpmens/mosquitto-auth-plug

ESP32 stations

ESP32 modules will work as iBeacon monitoring stations, reporting all found beacons to MQTT topic, with their MAC address and RSSI.

Dashboard

Dashboard is a simple React app, connecting to MQTT server (mosquitto) and showing each beacon on screen. Beacons are shown on a map (office/home floor plan).

Screenshot

##TODO

  • improve accuracy (average value, faster beacons, sync stations)
  • add beacon MAC whitelist to sidebar
  • add server settings to sidebar
  • add properties to beacon icons
  • connect to iTAG's
  • ... what else?