Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)

This report discusses about a driver fatigue alert system project related to connected devices in Internet-of-Things (IoT). It applies additional parameters and different device for detection process if compared to other researches that have been conducted. This project is aimed to help preventin...

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Main Author: Wan Mohd Yusof, Wan Mardhiah
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22965 /
Published: Universiti Teknologi PETRONAS 2017
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Online Access: http://utpedia.utp.edu.my/22965/1/Dissertation%20%2817403%2C%20EE%29.pdf
http://utpedia.utp.edu.my/22965/
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spelling utp-utpedia.229652022-03-07T07:22:53Z http://utpedia.utp.edu.my/22965/ Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041) Wan Mohd Yusof, Wan Mardhiah TK Electrical engineering. Electronics Nuclear engineering This report discusses about a driver fatigue alert system project related to connected devices in Internet-of-Things (IoT). It applies additional parameters and different device for detection process if compared to other researches that have been conducted. This project is aimed to help preventing accidents occurring due to tiredness or fatigue. The IoT comprises the combination of electronic device, sensor and network to work. It is applied to ensure the system can be implemented on any device, anyone, any service or business, any path or network, anywhere, and at any time or context. This system will detect fatigue condition from certain parameters, and give alert to notify if there are positive signs of fatigue. The system will also give suggestion to rest at the closest safe and suitable place to rest and reenergize. Universiti Teknologi PETRONAS 2017-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22965/1/Dissertation%20%2817403%2C%20EE%29.pdf Wan Mohd Yusof, Wan Mardhiah (2017) Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041). Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Mohd Yusof, Wan Mardhiah
Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
description This report discusses about a driver fatigue alert system project related to connected devices in Internet-of-Things (IoT). It applies additional parameters and different device for detection process if compared to other researches that have been conducted. This project is aimed to help preventing accidents occurring due to tiredness or fatigue. The IoT comprises the combination of electronic device, sensor and network to work. It is applied to ensure the system can be implemented on any device, anyone, any service or business, any path or network, anywhere, and at any time or context. This system will detect fatigue condition from certain parameters, and give alert to notify if there are positive signs of fatigue. The system will also give suggestion to rest at the closest safe and suitable place to rest and reenergize.
format Final Year Project
author Wan Mohd Yusof, Wan Mardhiah
author_sort Wan Mohd Yusof, Wan Mardhiah
title Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
title_short Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
title_full Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
title_fullStr Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
title_full_unstemmed Connected Devices in Internet-of-things (IoT) for Driver Fatigue Alert System (16S041)
title_sort connected devices in internet-of-things (iot) for driver fatigue alert system (16s041)
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/22965/1/Dissertation%20%2817403%2C%20EE%29.pdf
http://utpedia.utp.edu.my/22965/
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score 11.62408