10.30486/mjee.2023.1984928.1120

Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things

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  • Turkhamun Adi Kurniawan1,
  • Istiqomah Sumadikarta1,
  • Sukarno Bahat Nauli1,
  • Faizal Zuli1,
  • Teguh Budi Santoso1,
  • Muhammad Roufiqi Desma1,
  1. Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia

Received: 2023-02-25

Accepted: 2023-05-11

Published 2023-06-15

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Kurniawan, T. A., Sumadikarta, I., Nauli, S. B., Zuli, F., Santoso, T. B., & Desma, M. R. (2023). Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things. Majlesi Journal of Electrical Engineering, 17(2). https://doi.org/10.30486/mjee.2023.1984928.1120
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Abstract

An Internet of Things-based security system and OpenCV technology have been developed to improve the efficiency and ease of monitoring video footage from CCTV. The face detection process is carried out using the Haar Cascade method, while facial recognition is carried out using the Local Binary Pattern Histogram algorithm. The test results show that light intensity has a significant influence on system accuracy, but this system provides convenience in monitoring CCTV video in real-time through a webserver and improves security, especially in rooms by utilizing Internet of Things technology. The current facial recognition success rate is 72%. Therefore, for the subsequent development of the system, it is recommended to increase the success rate of facial recognition and also implement the File Transfer Protocol to ensure better and better system performance.

Keywords

  • face detection,
  • Facial recognition. Light intensity,
  • Internet of Things,
  • OpenCV,
  • Security system,
  • webserver
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