International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Security Alert Using Face Recognition Aswathy Wilson 1, Arun J P 2, Jayakrishnan A3 Assistant Professor, Department of Computer Science and Engineering, Jyothi Engineering College, Kerala, India 2 B. tech Final Year Students, Department of Computer Science and Engineering, Jyothi Engineering College, Kerala, India. 3 B. tech Final Year Students, Department of Computer Science and Engineering, Jyothi Engineering College, Kerala, India. ---------------------------------------------------------------------***--------------------------------------------------------------------1
Abstract - Security is one of the important requirements of
We can make advantage of image processing and face recognition in our CCTV cameras. Video surveillance and the analysis of the obtained footage is a process which needs a huge memory. Video surveillance using CCTV is now being used everywhere [4]. But the effective video surveillance is not implemented anywhere. The current practice of video surveillance is installing a camera and analyzing the footages which are stored. But with the same cost we can implement something better.[5] That is rather than analyzing the footages after the incident occurred, notify the authority of organization at the time of incident so that higher authority can take necessary action without any delay. The system introduced in this paper includes many features which is cost effective and more secured. In our system a camera is installed in the room which is to be secured. Along with the camera a PIR sensor is used so that there is no need of keeping camera turned on. So when human presence is detected by PIR sensor, camera turns on and start capturing the video.[6] From the frames obtained from the captured video human face is detected and facial features are extracted using Viola Jones algorithm. The image is compared with the image stored in the dataset as the reference image using PCA algorithm. [7] When the face is recognized a message is sent to the higher authority regarding the time and date of access. When face is not recognized an alarm will be played to notify the security guard about the unauthorized entry attempt. Also a message is sent to higher authority regarding the entry time and date.
homes and businesses which require biometric identification. This paper aims to identify a person through face recognition. Face recognition is very complex and multidimensional problem. Principal Component Analysis based on MATLAB is used for face matching decision. The system which converts facial images to feature characteristics of initial training database images is designed in MATLAB. Facial features are extracted from the face. Eigenvalues are calculated and represented as an Eigen vector. Using Euclidian distance method, an unknown face image and database image are compared. The recognized facial image has minimum Euclidian distance with the database images. When face is recognized by MATLAB Code it will send SMS to the authorized person using GSM module and an alarm will be running. Security system using MATLAB and Embedded system design is cost effective, reliable and highly accurate. Key Words: Face recognition, PCA algorithm, Facial features, Eigenvectors, Euclidian distance, GSM module, Alarm.
1. INTRODUCTION Security is one of the at most requirements of homes and business .In today high technology environment, organizations are becoming more and more dependent on their information systems. Many organizations will identify information as an area of their operation that needs to be highly secured as part of their system of internal control. This paper aims to identify a person through face recognition and provide alert when the security is at risk. [1] Face recognition is one of the applications of image processing. Image processing method is that it will convert an image into digital form and perform some operations on the image, in order to get an enhanced image or to excerpt some useful information from it.[2] It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or attribute associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.[3]
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2. SYSTEM ARCHITECTURE System architecture defines the overall structure of the system which also defines the components used and the relationship between the components. The system consists of an embedded side and a software side. In embedded side we use a microcontroller (atmega328), PIR sensor, GSM module, Buzzer, Voltage regulator and a transformer. Software used is Matlab 2012.The software side and embedded sides communicate using RF Transmitter and Receiver.
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