Facial Recognition in the Opening of a Door using Deep Learning and a Cloud Service

Authors

  • Gautier Abou Loume University of Yaounde I, National Advanced School of Enginering, Department of Electrical and Telecommunications Engineering, Cameroon
  • Alphonse Binele Abana University of Yaounde I, National Advanced School of Enginering, Department of Electrical and Telecommunications Engineering, Cameroon https://orcid.org/0000-0003-2891-347X
  • Emmanuel Tonye University of Yaounde I, National Advanced School of Enginering, Department of Electrical and Telecommunications Engineering, Cameroon
  • Yvan Kabiena University of Douala, National Advanced School of Engineering of Douala, Department of Telecommunication and Information and Communication Technologies Engineering, JAPAN

Keywords:

Access control, deep learning, facial recognition, IoT

Abstract

We propose an intelligent access control device to overcome certain limits of reliability of traditional systems such as systems based on knowledge of the user (password, PIN code, etc.) or hardware (badge, magnetic card, etc.). Indeed, traditional systems have, among other limitations, such as forgetfulness, theft, loss and falsification. Our system consists of a biometric access control application based on facial recognition and embedded in a Raspberry Pi nano-computer controlling the automatic opening of a door. This device performs the following actions when a person approaches the door: motion detection, real-time shooting of the scene thanks to a connected camera, face detection on the captured image followed by 'facial identification, opening of the door in the event of recognition and notification by email and SMS using SaaS type Cloud services to the owner of the device. It thus makes it possible to make a door automatic and intelligent, to improve the reliability of physical access control systems and consequently to improve the safety of people, goods and services.

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Published

01.10.2022

How to Cite

Loume, G. A. ., Abana, A. B. ., Tonye, E. ., & Kabiena, Y. . (2022). Facial Recognition in the Opening of a Door using Deep Learning and a Cloud Service . International Journal of Intelligent Systems and Applications in Engineering, 10(3), 40–45. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2136

Issue

Vol. 10 No. 3 (2022)

Section

Research Article

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