Face Recognition

SUSI MagicMirror Module is a module designed for MagicMirror that helps you get SUSI Intelligence right on your Mirror. You may then ask it questions in the way the Queen in the tale “Snow White and the Seven Dwarfs” asked. One key feature that was missing in it was that the user could be recognized and queries he asked are answered in a personalized manner. This could be achieved if SUSI uses the account dedicated to that person to answer his/her queries. Thus, we need an authentication support. The authentication on MagicMirror is not as trivial as on Web, Android and iOS client apps for SUSI. Key difference here is that user, while using the MagicMirror, does not have access to a keyboard and mouse. Therefore, we cannot simply ask him to input email and password. Furthermore, a MagicMirror installed in your home may be used by several members of your family. Thus, we need a mechanism to tell each user apart. This was done with the help of MMM-Facial-Recognition module which brings face recognition support to MagicMirror. MMM-Facial-Recognition module provides support for recognizing multiple faces and setting the modules on the mirror screen based on the user facing the mirror using OpenCV. Other modules can also take advantage of knowing about the person with the help of module notifications sent by MMM-Facial-Recognition Module. To add Face based Authentication support to SUSI with MMM-Facial-Recognition, we first need to add the latter to MagicMirror. It can be added easily by first cloning the repository to modules directory of MagicMirror. $ git clone https://github.com/paviro/MMM-Facial-Recognition Go inside the directory and install dependencies $ npm run install Now, we need to train a model for the users who are going to use the MagicMirror. This can be done by the MMM-Facial-Recognition-Tools. This tool captures photos from the camera and trains a model for Face Recognition. The guide to use the tool is very well written on the Github page so I am not including it here. After training for faces of the users, you will get a training.xml file. This file contains the information about the facial features of every person so that it can tell users apart. You need to copy this file to the Module directory for MMM-Facial-Recognition module i.e. MagicMirror/module/MMM-Facial-Recognition. After this we can add the module to MagicMirror, by modifying the config file. Add the following lines in the config file (config.js). Copy and paster username array from the training script in the asked position. { module: 'MMM-Facial-Recognition', config: { // 1=LBPH | 2=Fisher | 3=Eigen recognitionAlgorithm: 1, lbphThreshold: 50, fisherThreshold: 250, eigenThreshold: 3000, useUSBCam: true, trainingFile: 'modules/MMM-Facial-Recognition/training.xml', interval: 2, logoutDelay: 15, // Array with usernames (copy and paste from training script) users: [], defaultClass: "default", everyoneClass: "everyone", welcomeMessage: true } } You may configure the show and hide behavior of modules based on the person. Find more information about it in the official guide on the repository. After setting up it recognizes and shows welcome message to each user…