@inproceedings{83ce55719a264f979301ae000cfd32aa,
title = "IAAS: IoT-Based Automatic Attendance System with Photo Face Recognition in Smart Campus",
abstract = "The existing attendance checking system uses student identification (ID) cards or mobile applications. If the attendance is processed by an automatic attendance checking system, the attendance checking process can be more convenient for both students and professors than manual attendance checking. For getting these advantages, this paper proposes an IoT-based Automatic Attendance System (IAAS). IAAS is an attendance checking system using a face recognition technology. The image data of students are collected by a capturing device (e.g., smartphone and tablet PC) and processed by the face recognition system. This system checks who are attending the class and send their attendance to an attendance database system through an email notification.",
keywords = "Attendance System, Automatic Attendance Checking, Internet of Things, Photo Face Recognition, Smart Campus",
author = "Jeong, \{Jaehoon Paul\} and Minho Kim and Yeonghyeon Lee and Patrick Lingga",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 ; Conference date: 21-10-2020 Through 23-10-2020",
year = "2020",
month = oct,
day = "21",
doi = "10.1109/ICTC49870.2020.9289276",
language = "English",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "363--366",
booktitle = "ICTC 2020 - 11th International Conference on ICT Convergence",
}