Smart Classroom Attendance and Management System with Deep Learning

Yıl 2024, Cilt: 40 Sayı: 3, 487 - 497, 30.12.2024

İbrahim Ardıç , Batuhan Yıldızhan , Kübra Uyar

Öz

The 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.

Anahtar Kelimeler

Automation, Biometric Identification, Deep Learning Facial Recognition, Mobile Application, Paper-based attendance

Derin Öğrenme ile Akıllı Sınıf Yoklama ve Yönetim Sistemi

Öz

Öz: Geleneksel eğitim metodlarının evrimi, teknolojik gelişmelere uyum sağlama ihtiyacını doğurmuştur. Bu çalışma, eğitim sektöründeki yoklama alma süreçlerini otomasyon ile kolaylaştırmayı amaçlamaktadır. Kağıt tabanlı yoklama sistemlerinin zaman kaybı, doğruluk sorunları ve ders sürelerinin bölünmesi gibi zorluklarını ele alarak, Akıllı Sınıf Yoklama ve Yönetim Sistemi tasarlanmıştır. Bu sistem, yüz tanıma teknolojisi kullanarak her öğrencinin yüz hatlarını tarar ve benzersiz bir biyometrik tanımlama sağlayarak öğrencileri otomatik olarak sınıfa kaydetmektedir. Bu, öğrencilerin sınıfa girişlerini otomatik olarak kaydetmelerine imkan tanımakta ve kağıt tabanlı yoklamaların gereksizliğini ortadan kaldırmaktadır. Ayrıca, bu çalışmada mobil bir uygulama ile desteklenerek öğretmenlere ve öğrencilere iki ayrı panel sunulmaktadır. Bu sayede, insan hataları en aza indirgenmiştir. Öğrenciler, dersin sonunda uygulama aracılığıyla yoklama bilgilerini görüntüleyebilir ve doğrulayabilirken, öğretmenler de alınan yoklamaları onaylayarak sistemin güvenilirliğini artırmaktadır. Sonuç olarak, Akıllı Sınıf Yoklama ve Yönetim Sistemi, geleneksel yöntemlerin zorluklarını aşmak ve eğitim süreçlerini daha verimli hale getirmek için yenilikçi bir yaklaşım sunmaktadır. Bu çalışma, eğitim sektöründe otomasyon dönüşümünü temsil etmektedir ve öğrenciler ile öğretmenlerin daha etkili bir ders deneyimi yaşamasına katkı sağlamayı hedeflemektedir.

Anahtar Kelimeler

Otomasyon, Biyometrik Tarama, Derin Öğrenme, Yüz Tanıma, Mobil Uygulama, Kağıt Tabanlı Yoklama

Kaynakça

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