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DOI: 10.14569/IJACSA.2018.091043
PDF

Implementation of Intelligent Automated Gate System with QR Code

Author 1: Erman Hamid
Author 2: Lim Chong Gee
Author 3: Nazrulazhar Bahaman
Author 4: Syarulnaziah Anawar
Author 5: Zakiah Ayob
Author 6: Akhdiat Abdul Malek

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.

  • Abstract and Keywords
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Abstract: This paper is about QR code-based automated gate system. The aim of the research is to develop and implement a type of medium-level security gate system especially for small companies that cannot afford to install high-tech auto gate system. IAGS is a system that uses valid staffs’ QR code pass card to activate the gate without triggering the alarm. It is developed to connect to the internet and provide a real-time email notification if any unauthorized activities detected. Besides that, it is also designed to record all the incoming and outgoing activities for all staff. All QR code pass cards that are generated to staff will be encrypted to provide integrity to the data. The system is based on items such as PIR motion sensor, servo motor, Arduino microcontroller, Piezo buzzer, and camera. The software is implemented using VB.NET and the QR recognition level is about 99% accurate.

Keywords: Component; internet of things; gate system; VB.NET; QR code

Erman Hamid, Lim Chong Gee, Nazrulazhar Bahaman, Syarulnaziah Anawar, Zakiah Ayob and Akhdiat Abdul Malek, “Implementation of Intelligent Automated Gate System with QR Code” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091043

@article{Hamid2018,
title = {Implementation of Intelligent Automated Gate System with QR Code},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091043},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091043},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Erman Hamid and Lim Chong Gee and Nazrulazhar Bahaman and Syarulnaziah Anawar and Zakiah Ayob and Akhdiat Abdul Malek}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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