This paper is published in Volume-5, Issue-1, 2019
Area
Security
Author
B. Gopinath, M. Kalyanasundaram, J. Mohanapriya, R. Monisha, R. Saraswathi, S. Tharini
Org/Univ
Vivekanandha College of Engineering for Women, (Autonomous), Tiruchengode, Tamil Nadu, India, India
Pub. Date
14 February, 2019
Paper ID
V5I1-1310
Publisher
Keywords
Solar Cell, Face Detection, Infrared Camera, Raspberry Pi, Security.

Citationsacebook

IEEE
B. Gopinath, M. Kalyanasundaram, J. Mohanapriya, R. Monisha, R. Saraswathi, S. Tharini. Study Based implementation of Human Face Recognition by using Raspberry Pi, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
B. Gopinath, M. Kalyanasundaram, J. Mohanapriya, R. Monisha, R. Saraswathi, S. Tharini (2019). Study Based implementation of Human Face Recognition by using Raspberry Pi. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
B. Gopinath, M. Kalyanasundaram, J. Mohanapriya, R. Monisha, R. Saraswathi, S. Tharini. "Study Based implementation of Human Face Recognition by using Raspberry Pi." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

This scheme can categorize a person from image capture. Nowadays security and surveillance are the most essential aspects of human being deduction. Face reorganization system using raspberry pi can simply unlock and lock the door through the image capture. Face detection is apprehensive with finding whether or not there are any faces in a specified image. Our paper describes a simple and uncomplicated hardware realization of face finding system using Raspberry Pi. The results description that the anticipated system can be used for face exposure even from unfortunate quality images and shows excellent performance efficiency.