Design of Face Recognition Door Locking System
Student: Joel Ufot Amos (Thesis, 2025)
Department of Computer Engineering
Hussaini Adamu Federal Polytechnic, Kazaure, Jigawa State
Abstract
In recent times, there has been a growing interest in smart home systems particularly with the advent of Internet of Things (IOT). One of the important aspects of the smart home system is the security and access control. In this paper, a facial recognition security system was designed using ESP32 Camera which can be seamlessly integrated to the smart home system. Eigenface was used for the feature extraction, while Principal Component Analysis (PCA) was used as the classifier. The output of facial recognition algorithm was connected to the relay circuit which controls a motor lock placed at the door. Overall results obtained were very promising with 90% accuracy in facial recognition. Facial recognition accuracy can be improved by employing a hierarchical image processing approach to reduce the training or testing time.
Keywords
For the full publication, please contact the author directly at: amosjoel06@gmail.com
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- Kebbi State University of Science and Technology, Aliero, Kebbi State 6
- Kenule Benson Saro-Wiwa Polytechnic, Bori, Rivers State 18
- Kogi State Polytechnic, Lokoja, Kogi State 4
- Kogi State University, Anyigba 2
- Kwara State College of Health Technology, offa, Kwara State 9
- Kwara State Polytechnic, Ilorin, Kwara State 20
- Kwara State University, Malete, Ilorin, Kwara State 13
- Ladoke Akintola University of Technology, Ogbomoso, Oyo State 39
- Lagos State Poly, Ikorodu, Lagos State 2
- Lagos State University, Ojo, Lagos State 8