Ambient-Aware smart monitor / Aiman Azhar

The goal is to improve visual experience by creating an automation system that able to perform almost the same as the conventional auto-brightness system which is using ambient sensor. Conventional laptop are not equipped with auto-brightness features but comes with image capturing devices. But for...

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Main Author: Azhar, Aiman
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/31522/1/31522.pdf
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id my-uitm-ir.31522
record_format uketd_dc
spelling my-uitm-ir.315222020-06-26T04:18:44Z Ambient-Aware smart monitor / Aiman Azhar 2020 Azhar, Aiman Electronic Computers. Computer Science Device drivers Windows (Computer programs) The goal is to improve visual experience by creating an automation system that able to perform almost the same as the conventional auto-brightness system which is using ambient sensor. Conventional laptop are not equipped with auto-brightness features but comes with image capturing devices. But for the pc monitor neither of the features are included. In order, to adjust the brightness setting user need to manually adjust using physical button which usually locate behind the pc monitor. With media capturing device already integrate in laptop and webcam commonly used by pc user, with combination from image processing technique this device can act as ambient-sensor. The methodology used in this project is Waterfall Model. This ensure development cannot proceed to the next phase until the current phase is completed. This application is evaluated using functionality testing. The result shown that the project application is functional and operational by the Microsoft Dev Center. Although this project application is limited to one platform which is Windows 10 platform. 2020 Thesis https://ir.uitm.edu.my/id/eprint/31522/ https://ir.uitm.edu.my/id/eprint/31522/1/31522.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Science Che Haron, Mohammad Bakri
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Che Haron, Mohammad Bakri
topic Electronic Computers
Computer Science
Device drivers
Windows (Computer programs)
spellingShingle Electronic Computers
Computer Science
Device drivers
Windows (Computer programs)
Azhar, Aiman
Ambient-Aware smart monitor / Aiman Azhar
description The goal is to improve visual experience by creating an automation system that able to perform almost the same as the conventional auto-brightness system which is using ambient sensor. Conventional laptop are not equipped with auto-brightness features but comes with image capturing devices. But for the pc monitor neither of the features are included. In order, to adjust the brightness setting user need to manually adjust using physical button which usually locate behind the pc monitor. With media capturing device already integrate in laptop and webcam commonly used by pc user, with combination from image processing technique this device can act as ambient-sensor. The methodology used in this project is Waterfall Model. This ensure development cannot proceed to the next phase until the current phase is completed. This application is evaluated using functionality testing. The result shown that the project application is functional and operational by the Microsoft Dev Center. Although this project application is limited to one platform which is Windows 10 platform.
format Thesis
qualification_level Bachelor degree
author Azhar, Aiman
author_facet Azhar, Aiman
author_sort Azhar, Aiman
title Ambient-Aware smart monitor / Aiman Azhar
title_short Ambient-Aware smart monitor / Aiman Azhar
title_full Ambient-Aware smart monitor / Aiman Azhar
title_fullStr Ambient-Aware smart monitor / Aiman Azhar
title_full_unstemmed Ambient-Aware smart monitor / Aiman Azhar
title_sort ambient-aware smart monitor / aiman azhar
granting_institution Universiti Teknologi MARA, Cawangan Melaka
granting_department Faculty of Computer and Mathematical Science
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/31522/1/31522.pdf
_version_ 1783734125297926144