Browse By Repository:

 
 
 
   

Development of smart attendance system by using face recognition with IoT features

Mohamad Raffi, Muhammad Amirul Rasyid (2021) Development of smart attendance system by using face recognition with IoT features. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

[img] Text (24 Pages)
Development of smart attendance system by using face recognition with iot features.pdf - Submitted Version

Download (766kB)
[img] Text (Full text)
Development of smart attendance system by using face recognition with iot features.pdf - Submitted Version
Restricted to Registered users only

Download (3MB)

Abstract

In this era of Covid-19 pandemic, The Ministry of Education (MoE) has announced that schools and universities can be reopen and all parties must comply with the standard operating procedures (SOP) to ensure safety environment for students. Even though in this pandemic situation, teachers still need to record student’s attendance that allow them to identify students who need support and keep in touch to help them continue their studies. However, in every school or university the typical way of taking attendance is a challenging work. The standard approach of a teacher or lecturer marking attendance was to manually call out the names of students, which could take a long time during a class session. The aim of the project is therefore to design a smart attendance system with IOT features. The goal of this project is to create a smart attendance system that uses face recognition method and use a sensor to record students' temperatures before they enter the classroom. Then, by using this system the data will be collected and update in Google Sheet as reference for future use. This attendance system uses a Raspberry Pi as a low-cost computer to collect image samples for training purposes, and these images were subsequently saved in a dataset as the names of the corresponding students. A contactless infrared temperature sensor is used to read the student’s temperature before entering the class. When students scan their face, the system will compare their image and if the image are same as in dataset, system will send student’s details and temperature to the google sheet as an attendance record. Based on the results, this attendance system is more efficient, safe to use and cost effective compared to other biometrics system. This project is easy to use and user-friendly as it introduced an efficient way to record the student’s attendance.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Covid-19, Attendance, Face recognition, IoT
Divisions: Library > Final Year Project > FTKEE
Depositing User: Sabariah Ismail
Date Deposited: 17 May 2024 00:48
Last Modified: 17 May 2024 00:48
URI: http://digitalcollection.utem.edu.my/id/eprint/27839

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year