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Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/408
Title: Access control system with face recognition
Authors: REGGAM, MOunsif
Keywords: Automated Learning
Deep Learning
Face Recognition
Corporate Surveillance
Neural Networks
Access Control
Issue Date: 2022
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.
Description: Supervisors : Dr. KHALDI Belkacem Dr. BENCHERIET Chemesse Ennehar (University of Guelma)
URI: https://repository.esi-sba.dz/jspui/handle/123456789/408
Appears in Collections:Ingénieur

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