DC Field | Value | Language |
dc.contributor.author | REGGAM, MOunsif | - |
dc.date.accessioned | 2023-03-05T08:59:32Z | - |
dc.date.available | 2023-03-05T08:59:32Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/408 | - |
dc.description | Supervisors : Dr. KHALDI Belkacem Dr. BENCHERIET Chemesse Ennehar
(University of Guelma) | en_US |
dc.description.abstract | Face recognition is considered one of most important biometric used for many practical
uses such as security, law enforcement and commercialising. Because of this field’s
importance, researchers started showing an increasing interest in developing and improving
it. Nowadays, enterprises look to protect and track unwanted entries to sensitive
facilities and in this project we propose a commercial product that automates the process
of identifying and keeping track of such unauthorized accesses using face recognition.***
La reconnaissance faciale est consid´er´ee comme l’une des biom´etries les plus importantes
utilis´ees pour de nombreuses pratiques quotidiennes et utilisations techniques telles
que la s´ecurit´e, l’application de la loi et la commercialisation. Suite `a cette importance,
les chercheurs ont commenc´e `a s’int´eresser par le d´eveloppement et l’am´elioration du
domaine. De nos jours, les entreprises cherchent `a prot´eger et `a suivre les intrusions et
les entr´ees ind´esirables et dans ce projet, nous proposons un produit commercial qui automatise
l’op´eration d’identifier et de garder les traces de ces acc`es non autoris´es `a l’aide
de la reconnaissance faciale. | en_US |
dc.language.iso | en | en_US |
dc.subject | Automated Learning | en_US |
dc.subject | Deep Learning | en_US |
dc.subject | Face Recognition | en_US |
dc.subject | Corporate Surveillance | en_US |
dc.subject | Neural Networks | en_US |
dc.subject | Access Control | en_US |
dc.title | Access control system with face recognition | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Ingénieur
|