HPS-FaceID

A module for the MagicMirror project by adding (faceID) face recognition.

How it works

This module allows you to access profiles using face recognition. This works on the back of OpenCV face recognition module.

Screenshots

A logo as default	User has been recognised	Unknown user has been recognised

Preconditions

• MagicMirror² instance
• Node.js version >= 7
• npm
• OpenCV face-recognition
• Raspberry Pi 3 Model B
• Raspbery Pi Camera Module 2

Step 1 – Install the module

In your MagicMirror directory:

   git clone https://github.com/ban9975/HPS-FaceID.git
   cd HPS-FaceID
   npm install

Step 2 – Add files to the Config.js

Here is an example for an entry in config.js

{
  module: "HPS-FaceID",
  position: "top_right",
  config: {
    //prompt: "Put in your own text"
  }
}

Appendix - Instruction for precoditions

1. Magic Mirror

   cd ~
   curl -sL https://deb.nodesource.com/setup_18.x | sudo -E bash -
   sudo apt install -y nodejs
   git clone https://github.com/MichMich/MagicMirror
   cd MagicMirror/
   npm run install-mm
   cp config/config.js.sample config/config.js

2. Install dependencies for face recognition

   sudo apt-get -y update
   sudo apt-get -y upgrade
   sudo apt-get install -y --fix-missing \
       build-essential \
       cmake \
       gfortran \
       wget \
       curl \
       graphicsmagick \
       libgraphicsmagick1-dev \
       libatlas-base-dev \
       libavcodec-dev \
       libavformat-dev \
       libboost-all-dev \
       libgtk2.0-dev \
       libjpeg-dev \
       liblapack-dev \
       libswscale-dev \
       pkg-config \
       python3-dev \
       python3-numpy \
       python3-pip \
       software-properties-common \
       zip \
       python3-picamera
       && sudo apt-get clean && sydo rm -rf /tmp/* /var/tmp/*
   sudo pip3 install --upgrade picamera[array]

3. Install dlib

   sudo nano /etc/dphys-swapfile

   Change CONF_SWAPSIZE=100 to CONF_SWAPSIZE=1024 and save / exit nano

   sudo /etc/init.d/dphys-swapfile restart
   git clone https://github.com/davisking/dlib.git
   cd dlib
   mkdir build; cd build; cmake ..; cmake --build .
   cd ..
   python3 setup.py install

   It takes some time to install dlib.
4. Install face recognition

   sudo pip3 install face_recognition

5. Install dependancies for this module

   pip install Pillow