Home Automation Using Face as Well as Facial Expression Recognition

Abstract

The project has been divided into 3 phases: • Face recognition • Facial expression recognition • Home automation  Music and light arrangement control  Automatic door control system The goal is to implement the system (model) for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. The Eigen face approach uses Principal Component Analysis (PCA) algorithm for the recognition of the images. Furthermore, after detection and recognition of the face we aim to control the opening and closing of door and also with the detection of facial expressions we aim to control the music and lighting arrangements of a room. The aim of this project also is to help us for improvement of the door security of sensitive locations by using face detection and recognition. The approach using Eigen faces and PCA is quite robust in the treatment of face images with varied facial expressions as well as the directions. However, this approach is sensitive to images with uncontrolled illumination conditions. One of the limitations for Eigen face approach is in the treatment of face images with varied facial expressions and with glasses.