This paper is published in Volume-4, Issue-1, 2018
Area
Computer Vision and Security
Author
Saurabh K. Patil, Narendra G. Narole
Org/Univ
Rajiv Gandhi College of Engineering and Research, Nagpur, India
Pub. Date
12 February, 2018
Paper ID
V4I1-1353
Publisher
Keywords
Raspberry Pi Module, GSM Module, USB Camera, Numerical Keypad, Relay, etc.

Citationsacebook

IEEE
Saurabh K. Patil, Narendra G. Narole. Implementation of Advance PCA Algorithm for Security System using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Saurabh K. Patil, Narendra G. Narole (2018). Implementation of Advance PCA Algorithm for Security System using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Saurabh K. Patil, Narendra G. Narole. "Implementation of Advance PCA Algorithm for Security System using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

As the human life goes on improving, there arise many security issues which sometimes are life risky also. Hence, there comes the need for the security system. As the earlier security system was based on the human inspections that create the faults in the securities.  Hence there come to the security systems based on the various controllers, latest techniques, etc. but, still the optimum security is not achieved.  Thus, the new eras of the face detection security system arise and all the way new technique of security comes.  Even though face detection is a difficult task to make but still the advancing image processing algorithms makes it look so simple. The various image processing algorithms are HAAR, PCA, Eigen Face, Viola-Jones, etc. which have their own limitations. Hence, there comes the advanced algorithms and hence for achieving the optimum security and higher efficiency, we come with the advance PCA based security system.  This algorithm can be compatible with the automation instrument. The automation instruments are of various types such as a microcontroller, Arduino, raspberry pi, etc. thus for the best result along with the cost-effectiveness, we are using the raspberry pi as a controlling instrument. This instrument provides the ability of the storage in the form of database. Thus, database helps to detect the face and allow the recognized person only. Thus this will helps to improve the security.  Thus, this paper consists of the report of working comparison of the various face detection projects based on the raspberry pi module with our project.