Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Detalles Bibliográficos
Autores principales:	Hassan, Rakin, Salauddin, Sadia
Otros Autores:	Shabnam, Farzana
Formato:	Tesis
Lenguaje:	en_US
Publicado:	Brac University 2021
Materias:	IoT Internet of Thing Room Occupancy Automatic Seat Allocation Environment Monitoring Arduino UNO IR Sensor RFID
Acceso en línea:	http://hdl.handle.net/10361/14362

id	10361-14362
record_format	dspace
spelling	10361-143622021-10-03T10:16:05Z Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring Hassan, Rakin Salauddin, Sadia Shabnam, Farzana Department of Electrical and Electronic Engineering, Brac University IoT Internet of Thing Room Occupancy Automatic Seat Allocation Environment Monitoring Arduino UNO IR Sensor RFID This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 42-43). IoT or Internet of Things was a term coined by Kevin Ashton in 1999. It is used to describe a system where different physical and digital devices are connected together and can communicate via the internet. The main goal of our project is to use IR sensors to count the total number of students that are entering and exiting the classroom and thus calculating the total number of students that are present. Furthermore, we are using Radio-frequency identiﬁcation (RFID) to create a card scanning system that will allow us to allocate seats for the students during exam time. We also installed temperature, humidity and ﬂame sensors inside the classroom which will give data in real time and can be used for both emergency and any regular data collecting purposes. The micro controller we used to power all these systems was Arduino Uno. All the information collected by the Arduino will be uploaded to a server via NodeMCU or ESP8266 modules where a university administrator can access all the information in real time. Nowadays, most of the universities take attendance manually. This is a problem as manual attendance is not always fully effective. Calculating the total number of students using IR sensors will make it very easy for the lecturers to crosscheck with the attendance if need be. For one, student count can be a very important factor in emergency situations and the police and/or the ﬁre department can need this information in such situations. Secondly, manually taking the attendance and crosschecking can be a tedious and time consuming task for the lecturers and this can save a lot of time. On top of that, students can give attendance for their friends who are not actually present in the class and getting this information can help reduce proxies. Also, the data collected can be used by the university or other people or organizations for R&D. In exam time, automatic seat allocation will help reduce hassle and save time. We plan to do all these in a very cost effective way Rakin Hassan Sadia Salauddin B. Electrical and Electronic Engineering 2021-03-21T06:23:18Z 2021-03-21T06:23:18Z 2020-04 Thesis ID: 14321012 ID: 15121037 http://hdl.handle.net/10361/14362 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 43 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	en_US
topic	IoT Internet of Thing Room Occupancy Automatic Seat Allocation Environment Monitoring Arduino UNO IR Sensor RFID
spellingShingle	IoT Internet of Thing Room Occupancy Automatic Seat Allocation Environment Monitoring Arduino UNO IR Sensor RFID Hassan, Rakin Salauddin, Sadia Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.
author2	Shabnam, Farzana
author_facet	Shabnam, Farzana Hassan, Rakin Salauddin, Sadia
format	Thesis
author	Hassan, Rakin Salauddin, Sadia
author_sort	Hassan, Rakin
title	Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
title_short	Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
title_full	Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
title_fullStr	Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
title_full_unstemmed	Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring
title_sort	implementation of iot based smart classroom: room occupancy estimation, automatic seat allocation and environment monitoring
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/14362
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Implementation of IoT based smart classroom: Room occupancy estimation, automatic seat allocation and environment monitoring

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