IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi

At this point, the percentage of the population aged 60 and older will increase from 1 billion in 2020 to 1.4 billion. Using technology can have advantages and disadvantages at any age, but previous research shows that elderly and disabled people have limitations when using technology. Due to age an...

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Main Author: Mohd Hadafi, Nurfatnin Hadfina
Format: Student Project
Language:English
Published: 2022
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Online Access:https://ir.uitm.edu.my/id/eprint/83347/2/83347.pdf
https://ir.uitm.edu.my/id/eprint/83347/
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spelling my.uitm.ir.833472023-09-25T02:19:56Z https://ir.uitm.edu.my/id/eprint/83347/ IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi Mohd Hadafi, Nurfatnin Hadfina Detectors. Sensors. Sensor networks At this point, the percentage of the population aged 60 and older will increase from 1 billion in 2020 to 1.4 billion. Using technology can have advantages and disadvantages at any age, but previous research shows that elderly and disabled people have limitations when using technology. Due to age and health conditions, the elderly and disabled had to rely on other people to complete their daily routines. The IoT-based Wi-Fi Smart Home Automation System is developed to help elderly and disabled people to control their home appliances using the Blynk application on their mobile phones, make a noise and send alert notifications to users when there is an intruder in front of the door. The objectives of this research are to develop a prototype Wi-Fi Smart Home Automation System for elderly and disabled people using NodeMCU ESP8266 with Blynk application and evaluate the performance of the prototype through functional testing, network testing and user acceptance test. The bulbs and fan were tested three times by controlling them using the Blynk application. Next, the buzzer also was tested three times by changing the distance of people with the IR sensor to check whether it can make sound or not. Meanwhile, the IR sensor was tested three times through created scenarios by using different distances and with or without obstacles to ensure network performance. The response time is still in the acceptable range to notify the users when the distance is between 80 centimetres. The user acceptance test shows that above 50% of respondents agreed that this prototype is useful for them. For future work, other researchers can try to test the prototype with another home appliances. In summary, this research has successfully developed a Wi-Fi Smart Home Automation System prototype to ease elderly and disabled people. 2022 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83347/2/83347.pdf IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi. (2022) [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 Detectors. Sensors. Sensor networks
spellingShingle Detectors. Sensors. Sensor networks
Mohd Hadafi, Nurfatnin Hadfina
IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
description At this point, the percentage of the population aged 60 and older will increase from 1 billion in 2020 to 1.4 billion. Using technology can have advantages and disadvantages at any age, but previous research shows that elderly and disabled people have limitations when using technology. Due to age and health conditions, the elderly and disabled had to rely on other people to complete their daily routines. The IoT-based Wi-Fi Smart Home Automation System is developed to help elderly and disabled people to control their home appliances using the Blynk application on their mobile phones, make a noise and send alert notifications to users when there is an intruder in front of the door. The objectives of this research are to develop a prototype Wi-Fi Smart Home Automation System for elderly and disabled people using NodeMCU ESP8266 with Blynk application and evaluate the performance of the prototype through functional testing, network testing and user acceptance test. The bulbs and fan were tested three times by controlling them using the Blynk application. Next, the buzzer also was tested three times by changing the distance of people with the IR sensor to check whether it can make sound or not. Meanwhile, the IR sensor was tested three times through created scenarios by using different distances and with or without obstacles to ensure network performance. The response time is still in the acceptable range to notify the users when the distance is between 80 centimetres. The user acceptance test shows that above 50% of respondents agreed that this prototype is useful for them. For future work, other researchers can try to test the prototype with another home appliances. In summary, this research has successfully developed a Wi-Fi Smart Home Automation System prototype to ease elderly and disabled people.
format Student Project
author Mohd Hadafi, Nurfatnin Hadfina
author_facet Mohd Hadafi, Nurfatnin Hadfina
author_sort Mohd Hadafi, Nurfatnin Hadfina
title IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
title_short IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
title_full IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
title_fullStr IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
title_full_unstemmed IoT based Wi-Fi smart home automation system for elderly and disabled people / Nurfatnin Hadfina Mohd Hadafi
title_sort iot based wi-fi smart home automation system for elderly and disabled people / nurfatnin hadfina mohd hadafi
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/83347/2/83347.pdf
https://ir.uitm.edu.my/id/eprint/83347/
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score 13.211869