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All Projects β†’ TeamOfThings β†’ H.E.L.P.

TeamOfThings / H.E.L.P.

Licence: other
Home Environment Locating People 🍍

Programming Languages

python
139335 projects - #7 most used programming language

Labels

mqttflasktelegram-botbluetoothblebluetooth-low-energydomoticrssiindoor-positioningindoor-localisation

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H.E.L.P. Home Environment Locating People

Project of Mobile and Cyber Physical Systems, University of Pisa, 2017 / 2018.

This project is conceived and developed by

Thanks to CNR of Pisa for part of the hardware.

Overview

A simple indoor localization system based on wearable BLE tags, easily customizable through the dedicated Telegram Bot.

Hardware

This system is tested with this hardware:

  • Wereable BLE tag: RadBeacon dot
  • Stations: Raspberry PI (with a bluetooth dongle if bluetooth isn't integrated already);
  • Server: one of our laptops.

Software

Both stations and server run python scripts: required a python 2 interpreter.

Stations: scan for bluetooth messages: library BluePy.

Server: the server runs a MQTT broker, it connects to a MongoDB database and provides a machine-to-machine REST interface implemented with Flask.

Server(bot): a telegram bot developed with python-telegram-bot.

A few more information on the wiki!

Application Poster

Poster

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