An Automatic Door Lock Security System Based on Convolutional Neural Network
No Thumbnail Available
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Dutse Journal of Pure and Applied Sciences (DUJOPAS),
Abstract
Door lock security is important because it prevents intruders or unauthorized individuals from entering
our homes or offices. Previous door lock security systems based on password, radio frequency
identification and facial recognition are unreliable. Therefore, this project developed an automatic door
lock security system using Convolutional Neural Network. Fifty faces of home owners were captured
and trained using CNN. The system was tested at different distances and lightning condition and
evaluated using accuracy, precision and f1 score. Results show that the developed system is 91.67%
accurate. However, it is recommended that future work considers increasing dataset for model training
to obtain more accurate results.
Description
Keywords
Citation
Adebimpe Esan, Nnamdi Okomba, Adedayo Sobowale, Tomilayo Adebiyi, Bunmi Jooda and Ajala Peace (2023). An Automatic Door Lock Security System Based on Convolutional Neural Network, Dutse Journal of Pure and Applied Sciences (DUJOPAS), Vol. 9 No. 3a,