Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
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Article Number | 11008 | |
Number of page(s) | 6 | |
Section | Electrical Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819711008 | |
Published online | 12 September 2018 |
Development of a secured room access system based on face recognition using Raspberry Pi and Android based smartphone
1
Universitas Jenderal Achmad Yani, Dept. of Electrical Engineering, Jl. Terusan Jend. Sudirman PO Box 148 Cimahi 40533, Indonesia
2
Universitas Jenderal Achmad Yani, Dept. of Informatics, Jl. Terusan Jend. Sudirman PO Box 148 Cimahi 40533, Indonesia
3
Universiti Malaysia Perlis, School of Computer and Communication Engineering, Kubang Gajah, Malaysia
* Corresponding author: asep.najmurrokhman@lecture.unjani.ac.id
Security issues are an important part of everyday life. A vital link in security chain is the identification of users who will enter the room. This paper describes the prototype of a secured room access control system based on face recognition. The system comprises a webcam to detect faces and a solenoid door lock for accessing the room. Every user detected by the webcam will be checked for compatibility with the database in the system. If the user has access rights then the solenoid door lock will open and the user can enter the room. Otherwise, the data will be sent to the master user via Android-based smartphone that installed certain applications. If the user is recognized by the master user, then the solenoid door lock will be opened through the signal sent from the smartphone. However, if the user is not recognized, then the buzzer will alert. The main control circuit on this system is Raspberry pi. The software used is OpenCV Library which is useful to display and process the image produced by webcam. In this paper, we employ Haar Cascade Classifier in an image processing of user face to render the face detection with high accuracy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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