IoT intelligent fan / Muhamad Adam Syafi Mohamed Amir

Mohamed Amir, Muhamad Adam Syafi (2024) IoT intelligent fan / Muhamad Adam Syafi Mohamed Amir. [Student Project] (Unpublished)

Abstract

This project addresses the demand for energy-efficient and convenient cooling solutions by creating an IoT- based intelligent fan with human presence detection, which allows automatic fan speed adjustment based on the presence of person in the room. The goal of this project is to design an IoT-based intelligent fan that can detect human presence and change its speed automatically for improved energy efficiency and convenience. This report aims to design a intelligent fan that will conserve energy using Arduino Microcontroller. If any human presence is detected, the fan will be turned on while maintaining a specific speed according to the room temperature and all of the current status such as ‘Motor ON’, current temperature and fan speed will be displayed on LCD. Based on the simulation and the hardware build, shows that this project is convenient for human and electricity usage can be decreased. This project provides everybody a convenient cooling solution as the weather currently is very high and this project could likely decrease the chance of getting heatstroke by a margin. Further enhancements can be investigated for future development, and the system's functioning can be improved

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Mohamed Amir, Muhamad Adam Syafi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Mohd Nordin, Atiqah Hamizah
314466
Subjects: A General Works > Indexes (General)
Divisions: Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Engineering
Programme: Diploma of Electrical Engineering
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/101348
Edit Item
Edit Item

Download

[thumbnail of 101348.pdf] Text
101348.pdf

Download (197kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

101348

Indexing

Statistic

Statistic details