An Automatic Student Attendance System Based on the Internet of Things

Abstract

connected. Online machine learning is developing day by day. Many systems have been completely modified thanks to this development to help achieve more correct results. The Internet of Things allows us to develop a system that is able to operate without human intervention. In other words, the Internet of Things is a technology that has the ability to transmit data on the Internet without human-computer cooperation. The Internet of Things is used in different ways in most regions. This study aims to develop an automated attendance management system where attendance is recorded via mobile devices and the student's presence is limited to a specific place based on a specific network. Recent advances in wireless technologies have led to the development and growth of smart systems in everyday life. Nowadays, the Wi-Fi localization mechanism can cover a specific area so that any user connected to the Wi-Fi station can be recognized. We developed the design and implementation of class attendance monitoring system through Wi-Fi signal. The developed software system will be able to store, retrieve and deliver student information, such as attendance or absence, through a mobile device with server knowledge.