@inproceedings{96525248ee9b4752b9b0eac8f70c48d5,
title = "Facial recognition security alert system",
abstract = "In this paper the design and implementation of a real-time face recognition security system is presented. The security system demonstrates how surveillance can be adapted to offer a greater level of security with facial recognition. The security system was implemented in a four-person household. Results show that the designed facial recognition security system achieved a 100\% training and 96\% validation accuracy with a 100\% accuracy on the test images dataset consisting of unseen images of the four enrolled users.",
keywords = "Face recognition, Raspberry Pi, Security, Transfer learning",
author = "\{Da Silva Sousa\}, Gabriela and \{Ngomseu Mambou\}, Elie and Swart, \{Theo G.\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE AFRICON, AFRICON 2021 ; Conference date: 13-09-2021 Through 15-09-2021",
year = "2021",
month = sep,
day = "13",
doi = "10.1109/AFRICON51333.2021.9570855",
language = "English",
series = "IEEE AFRICON Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE AFRICON, AFRICON 2021",
address = "United States",
}