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Raspberry PI asset location tracker

This project is to design the tracking system using the Raspberry Pi platform where it is utilize the available hardware and the software. The basic method of this project is using the concept of the Internet of Things (IoT). In order to implement the concept, the application of SSH PuTTY and Dweet....

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Bibliographic Details
Main Author: Mohd Faiz, Bin Sahlan
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/26329/1/Raspberry%20PI%20asset%20location%20tracker%2024pgs.pdf
http://ir.unimas.my/id/eprint/26329/4/Raspberry%20PI%20asset%20location%20tracker%20ft.pdf
http://ir.unimas.my/id/eprint/26329/
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spelling my.unimas.ir.263292023-08-17T08:19:24Z http://ir.unimas.my/id/eprint/26329/ Raspberry PI asset location tracker Mohd Faiz, Bin Sahlan TK Electrical engineering. Electronics Nuclear engineering This project is to design the tracking system using the Raspberry Pi platform where it is utilize the available hardware and the software. The basic method of this project is using the concept of the Internet of Things (IoT). In order to implement the concept, the application of SSH PuTTY and Dweet.io are applied in this project as well as the weaved.com as a Rasbian OS server. Furthermore, it is using the Python language, ConnectBot, Google Play, Screen Recorder, Google Web Browser and Sakis3G to support the implementation of the system. As the software is complete setup, the hardware requirement for this project are the microcontroller where the project using the Raspberry Pi model B+, Huawei ZTE modem MF 190, BU-353 GPS, SIM card and Android Smartphone. As result, the system is successfully tracking the asset as desired. Hence, the implementation of the system is success and for the future scope is suggested to implement with local database as well as applied a hidden camera and VOIP to enhance the capability of the system. Universiti Malaysia Sarawak (UNIMAS) 2017 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/26329/1/Raspberry%20PI%20asset%20location%20tracker%2024pgs.pdf text en http://ir.unimas.my/id/eprint/26329/4/Raspberry%20PI%20asset%20location%20tracker%20ft.pdf Mohd Faiz, Bin Sahlan (2017) Raspberry PI asset location tracker. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Faiz, Bin Sahlan
Raspberry PI asset location tracker
description This project is to design the tracking system using the Raspberry Pi platform where it is utilize the available hardware and the software. The basic method of this project is using the concept of the Internet of Things (IoT). In order to implement the concept, the application of SSH PuTTY and Dweet.io are applied in this project as well as the weaved.com as a Rasbian OS server. Furthermore, it is using the Python language, ConnectBot, Google Play, Screen Recorder, Google Web Browser and Sakis3G to support the implementation of the system. As the software is complete setup, the hardware requirement for this project are the microcontroller where the project using the Raspberry Pi model B+, Huawei ZTE modem MF 190, BU-353 GPS, SIM card and Android Smartphone. As result, the system is successfully tracking the asset as desired. Hence, the implementation of the system is success and for the future scope is suggested to implement with local database as well as applied a hidden camera and VOIP to enhance the capability of the system.
format Final Year Project Report
author Mohd Faiz, Bin Sahlan
author_facet Mohd Faiz, Bin Sahlan
author_sort Mohd Faiz, Bin Sahlan
title Raspberry PI asset location tracker
title_short Raspberry PI asset location tracker
title_full Raspberry PI asset location tracker
title_fullStr Raspberry PI asset location tracker
title_full_unstemmed Raspberry PI asset location tracker
title_sort raspberry pi asset location tracker
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2017
url http://ir.unimas.my/id/eprint/26329/1/Raspberry%20PI%20asset%20location%20tracker%2024pgs.pdf
http://ir.unimas.my/id/eprint/26329/4/Raspberry%20PI%20asset%20location%20tracker%20ft.pdf
http://ir.unimas.my/id/eprint/26329/
_version_ 1775627254801367040
score 13.211869

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