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whereareyou

Inspired by whereami. Passive indoor localization using the Wifi signal strength of a users devices. A set of slaves (like Raspberry Pis) is distributed at the location and send the signal strengths of detected devices to a master server. Based on a pretrained model the master predicts where the devices currently are located.

Setup

• Install Cython
  apt-get install cython
• Install Python dependencies
  pip install -r requirements.txt

Slaves

• Install aircrack-ng
  apt-get install aircrack-ng

Master

• Copy example.env to .env and add the appropriate configuration keys. Make sure that HOST holds the URI under which your server is reachable. HOST:5000/gCallback must be configured in your Google API Console to be an authorized OAuth redirect URI.
  cp example.env .env
• Adapt static/office.svg and static/office_mapping.json to your office (we recommend this online editor). You can test your office mapping at /test_mapping.
• Create the database initially
  python -c "from master import db, load_locations; db.create_all(); load_locations()"

Usage

Slaves

• Copy example.run.sh to run.sh and adapt the configuration to your needs
  cp example.run.sh run.sh
  • FLOW_TOKEN - token for the Flowdock channel that should receive notifications when the slave crashes
  • SLAVE_ID - unique identifier of the slave
  • INTERFACE - Wifi interface that can be set to monitor mode
  • NETWORK - Wifi network monitored people should be logged in to
  • MASTER_ADDRESS - Internal IP address of the master server
• Run bash run.sh on every slave device
• To run it every time your Linux device finished booting, put this in your /etc/profile file:

CMD="sudo bash /home/pi/whereareyou/run.sh"
COUNT=$(ps aux | grep '$CMD' | wc -l)
if [ $COUNT -eq 1 ]; then
    echo "Starting whereareyou"
    cd /home/pi/whereareyou/
    eval "$CMD &"
fi

Master

• Run master.py on a device that can be accessed by the slaves in your internal network
  python master