Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee

This project developed an intelligent street light with several smart features such as, WI-FI module, GPS, and HD Camera. The biggest problem that contributes to the existence of this technology is to upgrade the system from manual to automatic system by eliminates the hotline calls between citizen...

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Main Author: Ezanee, Shazrin Irda
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/81475/1/81475.pdf
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spelling my-uitm-ir.814752024-05-21T06:55:30Z Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee 2017 Ezanee, Shazrin Irda Wireless Internet This project developed an intelligent street light with several smart features such as, WI-FI module, GPS, and HD Camera. The biggest problem that contributes to the existence of this technology is to upgrade the system from manual to automatic system by eliminates the hotline calls between citizen and emergency responder. In order to achieve the Internet Telecommunication Union (ITU) standard requirement toward Smart city, using Internet of Thing is one of the requirement. For system improvement, this research is focusing to automate all the manual system (hotline call method) to online based method using Raspberry Pi 3. The main system are using WI-FI module and a few features such as GPS is for location and co-ordinate while the HD Camera is function is to live stream the accident through the monitoring website for reporting to the rescue team. 2017 Thesis https://ir.uitm.edu.my/id/eprint/81475/ https://ir.uitm.edu.my/id/eprint/81475/1/81475.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Idris, Azlina
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Idris, Azlina
topic Wireless Internet
spellingShingle Wireless Internet
Ezanee, Shazrin Irda
Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
description This project developed an intelligent street light with several smart features such as, WI-FI module, GPS, and HD Camera. The biggest problem that contributes to the existence of this technology is to upgrade the system from manual to automatic system by eliminates the hotline calls between citizen and emergency responder. In order to achieve the Internet Telecommunication Union (ITU) standard requirement toward Smart city, using Internet of Thing is one of the requirement. For system improvement, this research is focusing to automate all the manual system (hotline call method) to online based method using Raspberry Pi 3. The main system are using WI-FI module and a few features such as GPS is for location and co-ordinate while the HD Camera is function is to live stream the accident through the monitoring website for reporting to the rescue team.
format Thesis
qualification_level Master's degree
author Ezanee, Shazrin Irda
author_facet Ezanee, Shazrin Irda
author_sort Ezanee, Shazrin Irda
title Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
title_short Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
title_full Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
title_fullStr Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
title_full_unstemmed Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee
title_sort visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / shazrin irda ezanee
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/81475/1/81475.pdf
_version_ 1804889704987885568