Aplikasi Augmented Reality Sebagai Media Pengenalan
Jenis-Jenis Pompa Berbasis Android Menggunakan Metode FAST Corner Detection
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
MARPAUNG, DESI YOLANDA
Karmila, Selly
Wulandari, Dewi Arianti
Karmila, Selly
Wulandari, Dewi Arianti
Subject
Teknik Informatika
Datestamp
2022-09-26 02:33:45
Abstract :
Augmented Reality Technology is a technology that is highly developed at this time, this technology can collect 2D or 3D virtual objects in a real environment. The Augmented Reality application as a means of recognizing the types of pumps was created using the Unity 3D and Vuforia applications that apply the FAST Corner Detection method to the markers used. This Augmented Reality application will be a means of displaying types of pumps in 3D, so that it can help in learning. This research tests the application path and tests the markers that have been made. The results of these tests are that the application can run as desired. And for testing of markers, markers can be detected as far as 20cm-60cm with degrees 30o-90o. And then light intensity testing is able to detect outdoors during the day and conditions in the room with lights on. The accuracy of the FAST Corner Detection algorithm is built on the gray level and size of the image to be placed by the Vuforia SDK. This research produces markers with high Augmentable quality so that they can be detected more quickly.
Augmented Reality Technology is a technology that is highly developed at this time, this technology can collect 2D or 3D virtual objects in a real environment. The Augmented Reality application as a means of recognizing the types of pumps was created using the Unity 3D and Vuforia applications that apply the FAST Corner Detection method to the markers used. This Augmented Reality application will be a means of displaying types of pumps in 3D, so that it can help in learning. This research tests the application path and tests the markers that have been made. The results of these tests are that the application can run as desired. And for testing of markers, markers can be detected as far as 20cm-60cm with degrees 30o-90o. And then light intensity testing is able to detect outdoors during the day and conditions in the room with lights on. The accuracy of the FAST Corner Detection algorithm is built on the gray level and size of the image to be placed by the Vuforia SDK. This research produces markers with high Augmentable quality so that they can be detected more quickly.
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