Face Recognition For Home Security

International Journal of Computer Science and Engineering

© 2019 by SSRG - IJCSE Journal

Volume 6 Issue 10

Year of Publication : 2019

Authors : D. Betteena Sheryl Fernando, A B Srivarsha, K Pirathisha, K Rubiya

10.14445/23488387/IJCSE-V6I10P102

How to Cite?

D. Betteena Sheryl Fernando, A B Srivarsha, K Pirathisha, K Rubiya, "Face Recognition For Home Security," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 10, pp. 7-12, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I10P102

Abstract:

Home security is a growing field. Home security matters and people always try to make life easier at the same time. That’s why we put up with this project, 3D Face Recognition Door Lock System. Among other things, human face recognition (HFR) is one of the known techniques which can be used for user authentication. This project proposes a method for automatic door access system using face recognition technique by using python programming and from OpenCV library Haar cascade method. This is the standalone security device has been developed by using Raspberry Pi electronic development board and operated on Battery power supply, wireless internet connectivity. It’s a prototype that identifies the visitor. A standard Raspberry PI camera captures the image to identify the person. If the visitor at the door is recognized, the door will be unlocked. For unauthorized persons, automatic e-mail notification has been achieved by sending security alert mail to the authorized user email I'd along with sent a SMS. This proposed is more effective, reliable, and this system consumes very less data and power compared to the other existing systems.

Keywords:

Home security system, Door lock access, Face Recognition, Open CV, Python, Raspberry PI, Haar cascade, LBPH, Security alert

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