Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.]
Security is a major concern within companies to prevent access to information by unauthorized persons. In this work, we are interested in access control through facial recognition. To realize this access control system based on facial recognition, we used an embedded system under Arduino which gives...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknologi MARA, Perlis
2022
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/68844/1/68844.pdf https://ir.uitm.edu.my/id/eprint/68844/ https://crinn.conferencehunter.com/index.php/jcrinn |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.68844 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.688442023-03-24T06:40:59Z https://ir.uitm.edu.my/id/eprint/68844/ Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] jcrinn Mangata, Bopatriciat Boluma Mbambi, Kisiaka Muamba, Kadima Khalaba, Fundji Programming. Rule-based programming. Backtrack programming Detectors. Sensors. Sensor networks Security is a major concern within companies to prevent access to information by unauthorized persons. In this work, we are interested in access control through facial recognition. To realize this access control system based on facial recognition, we used an embedded system under Arduino which gives us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. From a sample of 100 individuals composed of 40 women and 60 men, 75 of whom were registered and 25 non-registered, our access control system obtained the results of 70 true positives, 5 false negatives, 8 false positives and 17 true negatives that constitute our confusion matrix. However, from the set of tests performed we can conclude that multi-modality fusion can be leveraged to increase the performance of the verification system as the verification performance of multimodal systems (feature fusion or score fusion) can be applied to give even better results. Universiti Teknologi MARA, Perlis 2022 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/68844/1/68844.pdf Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.]. (2022) Journal of Computing Research and Innovation (JCRINN), 7 (2): 2. pp. 11-22. ISSN 2600-8793 https://crinn.conferencehunter.com/index.php/jcrinn 10.24191/jcrinn.v7i2.273 10.24191/jcrinn.v7i2.273 10.24191/jcrinn.v7i2.273 |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
Programming. Rule-based programming. Backtrack programming Detectors. Sensors. Sensor networks |
spellingShingle |
Programming. Rule-based programming. Backtrack programming Detectors. Sensors. Sensor networks Mangata, Bopatriciat Boluma Mbambi, Kisiaka Muamba, Kadima Khalaba, Fundji Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
description |
Security is a major concern within companies to prevent access to information by unauthorized persons. In this work, we are interested in access control through facial recognition. To realize this access control system based on facial recognition, we used an embedded system under Arduino which gives us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. From a sample of 100 individuals composed of 40 women and 60 men, 75 of whom were registered and 25 non-registered, our access control system obtained the results of 70 true positives, 5 false negatives, 8 false positives and 17 true negatives that constitute our confusion matrix. However, from the set of tests performed we can conclude that multi-modality fusion can be leveraged to increase the performance of the verification system as the verification performance of multimodal systems (feature fusion or score fusion) can be applied to give even better results. |
format |
Article |
author |
Mangata, Bopatriciat Boluma Mbambi, Kisiaka Muamba, Kadima Khalaba, Fundji |
author_facet |
Mangata, Bopatriciat Boluma Mbambi, Kisiaka Muamba, Kadima Khalaba, Fundji |
author_sort |
Mangata, Bopatriciat Boluma |
title |
Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
title_short |
Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
title_full |
Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
title_fullStr |
Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
title_full_unstemmed |
Modeling and implementation of an automatic access control system for secure premises using facial recognition / Bopatriciat Boluma Mangata ... [et al.] |
title_sort |
modeling and implementation of an automatic access control system for secure premises using facial recognition / bopatriciat boluma mangata ... [et al.] |
publisher |
Universiti Teknologi MARA, Perlis |
publishDate |
2022 |
url |
https://ir.uitm.edu.my/id/eprint/68844/1/68844.pdf https://ir.uitm.edu.my/id/eprint/68844/ https://crinn.conferencehunter.com/index.php/jcrinn |
_version_ |
1761622387722289152 |
score |
13.211869 |