Face Recognition Using Cnn

Abstract

Home security is growing field. To provide security to home, face recognition system can be implemented. A standard Pi camera captures the image to identify the person. It's a prototype that identifies the visitor. If the door recognize the visitor, the door will be unlocked and opened. If they are not identified the door will be firmly locked. The system will peform the detection and recognition rapidly in real time. This project utilizes the basic Pi cam, and the internet connection to create a door that unlocks itself via facial recognition. Firstly the system needs a face authentication for the user to be able to enter the home (locked/unlocked). When an unauthenticated tries to log in, this face will be captured and would be sent to gmail as an attachment. The system should also support remote home control. INTRODUCTION We want to provide high level security to home by using IoT technology. IoT is new technology which has made an enormous impact on the modern world. The IoT can be defined as the system of interconnected mechanical, electrical and computing devices and other objects like animals, humans which are given an unique identifier and this system has an ability to transfer data over a wide network of such interrelated systems without requiring human-to-human or human-to-computer interaction. In short, the IoT has an ability to make things self-instructed. Hence it can make significant impact on modern security technologies [2][10]. IoT will enable sensing, actuating and communication in the system. System can be made automated easily. So we can go on developing a smart home by extending this security system. To develop this we will use a Raspberry Pi micro-controller board for system development, a pi camera module for face recognition and a programmable servo motor to open door lock. We will install appropriate linux based Raspberry pi operating system on raspberry pi micro-controller board. For the door unlocking system, we will place a servo motor at door latch. This motor will be programmed in such a way that when the system authenticates the person in front of the camera, the motor will rotate to open latch. We will use image processing technology to authenticate the person to enter in home. For image processing, we will use pi camera module. Pi camera module is attached to Raspberry pi, and it aids to store various faces in the databases. When someone wants to enter in home, he should stand in front of the camera. Camera will recognize the face and compares with the faces stored in the LFW database [8]. If the face matches, the door will be automatically unlocked [3], otherwise a warning call will be sent to the owner of the house.