Home Security System and Door Access Control Based on Face Recognition

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395 -0056

Volume: 04 Issue: 03 | Mar -2017

p-ISSN: 2395-0072

www.irjet.net

Home Security System and Door Access Control Based on Face Recognition R. Manjunatha1, Dr. R. Nagaraja2 1M.

Tech student, Computer Network Engineering, Dept. of ISE, Bangalore Institute of Technology, Bangalore, Karnataka, India 2Professor and PG Coordinator, Dept. of ISE, Bangalore Institute of Technology, Bangalore, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Smart security system has become indispensable

in modern daily life. The proposed security system has been developed to prevent robbery in highly secure areas like home environment with lesser power consumption and more reliable standalone security device for both Intruder detection and for door security. The door access control is implemented by using face recognition technology, which grants access to only authorized people to enter that area. The face recognition and detection process is implemented by principal component analysis (PCA) approach and instead of using sensor devices intruder detection is achieved by performing image processing on captured video frames of data, and calculating the difference between the previously captured frame with the running frames in terms of pixels in the captured frames. This is the stand alone security device has been developed by using Raspberry Pi electronic development board and operated on Battery power supply, wireless internet connectivity by using USB modem. Auto Police e-Complaint registration has been achieved by sending security breach alert mails to the nearby police station e-mail id. This proposed is more effective, reliable, and this system consumes very less data and power compared to the other existing systems. Key Words: Home security system, Door lock access, Face Recognition, Security breach alerts, Intruder detection.

1. INTRODUCTION An efficient and accurate home security and access control to the doors system which is based on face recognition is very important for wide range of security application. Security is an important aspect or feature in the smart home applications [5]. Most of the countries are gradually adopting smart door security system. The most important major part of any door security systems are identifying accurately the persons who enter through the door. Face recognition is probably the most natural way to perform authentication between human beings. Additionally, it is the most popular biometric authentication trait, after fingerprint technology. Most of the security system was implementing a principle component analysis (PCA) algorithm for face recognition on hardware platform for its dimensionality reduction and simplicity. Wireless technologies for example and ZigBee, radio frequency identification (RFID) and etc are used in access control systems. This proposed system also act as home security system for both Intruder detection and provide security for © 2017, IRJET

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Impact Factor value: 5.181

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door access control by using facial recognition for home environment. Human body is identified as an intruder within a home environment achieved by capturing live video from web camera and processing will be done on captured video frames to identify the motion detection of the intruder. The web camera to capture the series of images as soon as the intruder motion is detected in certain area of the home premises and also it is having sending automatic e-Mail alerts along with captured images and other contact details to the nearby police station control room e-Mail id about the intruder detection to take further immediate necessary actions. The advantage of this system is for accessing the door is that face detection and recognition is performed by using face detection technique and the entire face recognition is completed by pressing single and tiny push button switch. Face recognition includes feature extraction from the facial image, recognition or classification and feature reduction. PCA is an effective feature extraction method used based on face as a global feature. It effectively reduces the dimension of captured images and at the same time holds the primary information. In this project, face recognition system is implemented based on standard PCA (Principle component analysis) algorithm. Classification or Recognition is done by the measure method such as Euclidean distance technique, which is used to classify the feature of images stored in the database and captured test images [2].

2. LITERATURE SURVEY Hteik Htar Lwin and et al. Have proposed an door lock access system which comprised mainly of three subsystems: namely face detection, face recognition and automatic door access control. Face recognition is implemented by using the Principal Component Analysis (PCA). The door will open automatically for the known person due to the command of the microcontroller. On the other hand, alarm will ring for the unknown person. Drawback of this system is input images are taken through a web camera continuously until the ‘stop camera’ button is pressed [1]. Someone is required at the location to check unauthorized person’s images or status of the system and take further action. Personal computer (PC) is connected with the microcontroller, The whole system will not work if PC is crashed or Non-Function.

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