Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

IoT – based Automatic Attendance Management System using Middleware

Version 1 : Received: 11 May 2022 / Approved: 13 May 2022 / Online: 13 May 2022 (09:40:48 CEST)

How to cite: Raza, H.W. IoT – based Automatic Attendance Management System using Middleware. Preprints 2022, 2022050185 (doi: 10.20944/preprints202205.0185.v1). Raza, H.W. IoT – based Automatic Attendance Management System using Middleware. Preprints 2022, 2022050185 (doi: 10.20944/preprints202205.0185.v1).

Abstract

The 21st century, where all things are depending upon technology, almost all the human tasks are being done with the help of technology to save a lot of time and make our life much more comfortable. The monitoring of students’ attendance is a crucial task for faculty in today’s world. There are more chances of errors while entering the students’ attendance records in the primary system, primarily when the class was over. The main concern of this study is to build an IoT-based automated attendance management system for educational institutes by biometric recognition to incorporate fake/proxy attendance and errors of entry and to replace old manual methods of taking students’ attendance by calling their names or roll numbers. The AAS will click the image of the classroom, and it will automatically detect the faces of students sitting in the lecture room and recognize them during lectures then mark their attendance daily to keep a record of their presence and also maintain and manage it for the management staff of the institution for future by using web services.

Keywords

AMS; Face Recognition; AAMS; Face Detector; Python; Monitoring; RFID; Arduino Uno; IoT

Subject

MATHEMATICS & COMPUTER SCIENCE, Information Technology & Data Management

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