Smart Classroom Attendance and Management System with Deep Learning

Basit Öğe Kaydı
dc.contributor.authorArdıç, İbrahim Tuğrul
dc.contributor.authorYıldızhan, Batuhan
dc.contributor.authorUyar, Kübra
dc.date.accessioned2026-01-24T12:01:05Z
dc.date.available2026-01-24T12:01:05Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe evolution of traditional educational methods highlights the necessity to adapt to new technologies. This study aims to facilitate the attendance-taking processes in the education sector through automation. Addressing challenges such as time loss, accuracy issues, and the fragmentation of class periods associated with paper-based attendance methods, we introduce the Smart Classroom Attendance and Management System. Our study utilizes facial recognition technology to scan the facial features of each student, providing a unique biometric identification and automatically enrolling students in the class. This allows students to be automatically recorded upon entering the classroom, eliminating the need for paper-based attendance. Additionally, it is supported by a mobile application, we provide two different panels for teachers and students, minimizing human errors. Students can view and verify attendance information through the application at the end of the class, while teachers can approve the recorded attendance, thereby enhancing the reliability of the system. In conclusion, the Smart Classroom Attendance and Management System offers an innovative approach to overcome the challenges posed by traditional methods and make educational processes more efficient. Representing the transformation of automation in the education sector, this study aims to contribute to a more effective learning experience for both students and teachers.
dc.identifier.endpage497
dc.identifier.issn1012-2354
dc.identifier.issue3
dc.identifier.startpage487
dc.identifier.trdizinid1357157
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1357157
dc.identifier.urihttps://hdl.handle.net/20.500.12868/3981
dc.identifier.volume40
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofErciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectAutomation
dc.subjectBiometric Identification
dc.subjectMobile Application
dc.subjectDeep Learning Facial Recognition
dc.subjectPaper-based attendance
dc.titleSmart Classroom Attendance and Management System with Deep Learning
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu