Design and Implementation of an IoT-Integrated Smart Locker System utilizing Facial Recognition Technology

Authors

  • Abdulrahman A. Alzhrani Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
  • Mohammed Balfaqih Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
  • Fadi Alsenani Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
  • Mohemmed Alharthi Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
  • Ali Alshehri Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
  • Zain Balfagih Computer Science Department, Effat Energy and Technology Research Center, Effat College of Engineering, Effat University, Jeddah P.O. Box 34689, Saudi Arabia
Volume: 14 | Issue: 4 | Pages: 16000-16010 | August 2024 | https://doi.org/10.48084/etasr.7737

Abstract

The Internet of Things (IoT) has been widely employed in the development of smart locker systems over the last decade. However, some of these systems are based on authentication methods which lack flexibility. Such systems did not consider the possibility that an authentication method could be unavailable for different reasons, namely access card loss, camera or mice break, etc. Moreover, such systems do not consider dual-authentication methods that enhance security. This paper aims to develop a smart locker system that considers several authentication methods including dual authentication (phone number and One Time Password (OTP)), fingerprint, face recognition, and emergency code utilizing IoT technology. Dual authentication method is the considered base authentication method. The system has been fabricated and evaluated taking into account different scenarios including monitoring door status, ensuring access for authorized users, and denying access to unauthorized users.

Keywords:

Smart Anti-theft System, Security System, Smart Home, Internet of Things, Face Recognition

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How to Cite

[1]
A. A. Alzhrani, M. Balfaqih, F. Alsenani, M. Alharthi, A. Alshehri, and Z. Balfagih, “Design and Implementation of an IoT-Integrated Smart Locker System utilizing Facial Recognition Technology”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 4, pp. 16000–16010, Aug. 2024.

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