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

Ezanee, Shazrin Irda (2017) Visual and geolocation enabled wireless emergency notification system using embedded internet of thing device / Shazrin Irda Ezanee. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Ezanee, Shazrin Irda
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Idris, Azlina
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Wireless communication systems. Mobile communication systems. Access control > Wireless Internet
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Masters of Science in Telecommunication and Information Engineering
Keywords: WI-FI module, GPS, HD Camera
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/81475
Edit Item
Edit Item

Download

[thumbnail of 81475.pdf] Text
81475.pdf

Download (296kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
Processing

ID Number

81475

Indexing

Statistic

Statistic details