Development of Face Recognition Technology For Airport Security System

A tétel rövid nézete
dc.contributor.advisorMisák, Sándor
dc.contributor.authorSilavinia, Esraa
dc.contributor.departmentDE--Természettudományi és Technológiai Kar--Fizikai Intézet
dc.date.accessioned2023-12-18T08:19:16Z
dc.date.available2023-12-18T08:19:16Z
dc.date.created2023-11-14
dc.description.abstractThis project aims to implement a user-friendly, low cost, and high accuracy face recognition system used in airports for security purpose. This thesis presents the implementation and developments of face recognition technology, the system is deployed through a Django web server configured on Raspberry Pi 3B+ microcontroller. With an integration of OpenCV library and other supporting libraries using Python computer language, the face recognition algorithms were implemented. The web server provides multiple web pages and buttons for the interaction with system operation. An SQLite database was used to store the passenger’s information. A training of the system’s training set, and a face recognition with a responded message of granted access or denied access along with LED status indication was performed.
dc.description.courseElectrical Engineering
dc.description.degreeBSc/BA
dc.format.extent64
dc.identifier.urihttps://hdl.handle.net/2437/363498
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectFace recognition
dc.subjectMicrocontroller
dc.subjectRaspberry Pi 3B+
dc.subjectDjango web server
dc.subjectSQLite3 database
dc.subject.dspaceDEENK Témalista::Műszaki tudományok::Villamosságtan
dc.subject.dspaceDEENK Témalista::Informatika::Műszaki informatika
dc.titleDevelopment of Face Recognition Technology For Airport Security System
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Theses (Faculty of Science and Technology)