Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli
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 c...
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| Format: | Student Project |
| Language: | English |
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2019
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| Online Access: | https://ir.uitm.edu.my/id/eprint/66532/1/66532.pdf https://ir.uitm.edu.my/id/eprint/66532/ |
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my.uitm.ir.665322022-09-13T06:15:01Z https://ir.uitm.edu.my/id/eprint/66532/ 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 Mohd Adli, Muhammad Daneal Hakim Human engineering Mechanics of engineering. Applied mechanics Security systems Information display systems Data transmission systems Electronics Apparatus and materials Semiconductors Detectors. Sensors. Sensor networks Microelectromechanical systems Information display systems Scanning systems Computer engineering. Computer hardware 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. 2019 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/66532/1/66532.pdf Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli. (2019) [Student Project] (Submitted) |
| institution |
Universiti Teknologi Mara |
| building |
Tun Abdul Razak Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Mara |
| content_source |
UiTM Institutional Repository |
| url_provider |
http://ir.uitm.edu.my/ |
| language |
English |
| topic |
Human engineering Mechanics of engineering. Applied mechanics Security systems Information display systems Data transmission systems Electronics Apparatus and materials Semiconductors Detectors. Sensors. Sensor networks Microelectromechanical systems Information display systems Scanning systems Computer engineering. Computer hardware |
| spellingShingle |
Human engineering Mechanics of engineering. Applied mechanics Security systems Information display systems Data transmission systems Electronics Apparatus and materials Semiconductors Detectors. Sensors. Sensor networks Microelectromechanical systems Information display systems Scanning systems Computer engineering. Computer hardware Samsul Kamal, Ahmad Badrun Amin Mohd Adli, Muhammad Daneal Hakim Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| description |
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. |
| format |
Student Project |
| author |
Samsul Kamal, Ahmad Badrun Amin Mohd Adli, Muhammad Daneal Hakim |
| author_facet |
Samsul Kamal, Ahmad Badrun Amin Mohd Adli, Muhammad Daneal Hakim |
| author_sort |
Samsul Kamal, Ahmad Badrun Amin |
| title |
Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| title_short |
Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| title_full |
Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| title_fullStr |
Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| title_full_unstemmed |
Automated safety system for air pollution detection via android / Ahmad Badrun Amin Samsul Kamal and Muhammad Daneal Hakim Mohd Adli |
| title_sort |
automated safety system for air pollution detection via android / ahmad badrun amin samsul kamal and muhammad daneal hakim mohd adli |
| publishDate |
2019 |
| url |
https://ir.uitm.edu.my/id/eprint/66532/1/66532.pdf https://ir.uitm.edu.my/id/eprint/66532/ |
| _version_ |
1744357287322976256 |
| score |
13.211869 |