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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| 格式: | Thesis |
| 语言: | English |
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2020
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| 在线阅读: | https://ir.uitm.edu.my/id/eprint/31522/1/31522.pdf |
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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 |