Door Automation using Face Recognition

In this project, a smart home security system by using Haar cascade face detection algorithm is proposed to enhance the security level of the entry system. Face recognition is an interesting but challenging in machine learning field and impacts important applications in many areas such as remote sensing, machine/robot vision, pattern recognition, medical field, banking and security system access, and authentication in personal electronics gadget. In this research paper, we proposed the door lock security system using image processing instead of the traditional key and digital lock system. The image processing mainly consists of three parts, namely face representation, feature extraction and identification of face. Face representation represents how to model a face with Haar cascade algorithms of detection and recognition. The important and distinctive features of the face are extracted in the feature extraction phase. In the identification of the face, the new face image is compared with the images which are already extracted and saved on the database. Face detection and recognition methods were applied to allow the authorized dwellers and the guest and prevent the unwanted person to enter inside the house.