Alfianita, Veni and , Umi Fadlillah, S.T., M.Eng. (2014) Augmented Reality Application as Computer Assembly Learning Based on Android Mobile. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Augmented Reality is a technology merger between the real world with the virtual world, so as if the virtual object feels like real objects displayed in realtime. This application is intended to merge the 3D object that it is a replica of some components of the computer and use marker predetermined developer. The computer assembly guide application implemented on mobile phones with android operating system. Creating an application is started with the collection of data, then the system needs analysis, then the design phase of each component of a 3D object using a computer with software blender 2.6.4. Then development of the system and the insertion of 3D object to unity 4.1.3f. In implementation required the marker, here using six images to be used as a means of introduction of the system will display the 3D object. In image pattern recognition in QCAR used Natural Features Tracking with FAST Corner detection method is detection by finding the points (interest points) or corners (corner) on an image. Term of corners and interest points are often used interchangeably. First performed edge detection, then process edge analysis to get rapid detection angle. xvii The results are an introduction of computer components and computer assembling application with Augmented Reality technology in form of video. This application has a size of 51.7 MB. Implementing this application on android mobile operating system with a minimum of android version 2.3 (gingerbread) and has a minimum of 170 MB of memory space.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Android, Augmented Reality, Computer Assembly |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | Edy Susilo |
| Date Deposited: | 10 Dec 2014 13:29 |
| Last Modified: | 05 Nov 2022 06:18 |
| URI: | http://eprints.ums.ac.id/id/eprint/31285 |
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