Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli

Samsul Kamal, Ahmad Badrun Amin and Mohd Adli, Muhammad Daneal Hakim (2019) Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli. [Student Project] (Submitted)

Abstract

This project presents a system of Automated safety system for air pollution detection via android which can be controlled and monitored using a mobile phone based on the concept of Internet of Things (loT) namely Blynk application. The system monitors the indoor environment periodically and can be controlled using a Smart Phone. Proposed system consists of air quality sensors (MQ135) that are capable of detecting multiple gases such as alcohol, Smoke, CO2 etc. levels in the kitchen and notifies the user if air pollution detected. A simple buzzer is interfaced to notify warning notification to indoor user when gas leakage occurs. This system is implemented using Nodemeu, which uses a database to store the air values and which can be accessed through the smart phone. The system is more efficient and safety by creating automatic window’s kitchen and fan to enable harmful gas to out through window. With the advancement of technology, user can get air information easily and control the window and fan to keep environment clean using loT anytime and anywhere as long as there is internet connection.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Samsul Kamal, Ahmad Badrun Amin
UNSPECIFIED
Mohd Adli, Muhammad Daneal Hakim
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Omar, Suziana
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering > Human engineering
T Technology > TA Engineering. Civil engineering > Mechanics of engineering. Applied mechanics
T Technology > TH Building construction > Security systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Information display systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Data transmission systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials > Semiconductors
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Microelectromechanical systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Information display systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Scanning systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware
Divisions: Universiti Teknologi MARA, Terengganu > Dungun Campus > Faculty of Electrical Engineering
Programme: Diploma of Electrical Engineering (Electronics)
Keywords: Automated safety system, air pollution detection, android, Blynk application
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/66532
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