[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.22937/IJCSNS.2022.22.8.1

Design of an IOT System based on Face Recognition Technology using ESP32-CAM

Mahmoud, Ines (Tunisian Ministry of Defence, Air Force Army, Aviation School of Borj El Amri.)
Saidi, Imen (University of Tunis El Manar Tunis, Automatic Research Laboratory, LA.R. A, National Engineering School of Tunis, ENIT)
bouzazi, Chadi (Tunisian Ministry of Defence, Air Force Army, Aviation School of Borj El Amri.)

Publication Information

International Journal of Computer Science & Network Security / v.22, no.8, 2022 , pp. 1-6 More about this Journal

Abstract

In this paper, we will present the realization of a facial recognition system using the ESP32-CAM board controlled by an Arduino board. The goal is to monitor a remote location in real time via a camera that is integrated into the ESP32 IOT board. The acquired images will be recorded on a memory card and at the same time transmitted to a pc (a web server). The development of this remote monitoring system is to create an alternative between security, reception, and transmission of information to act accordingly. The simulation results of our proposed application of the facial recognition domain are very efficient and satisfying in real time.

Keywords

Authentication; ESP32-CAM; face recognition; Camera; Security;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
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