Email this article Rancang Bangun Rekonstruksi 3D Dengan Kinect Xbox 360
Abstract
Technology development is increasing rapidly and effectively brings an impact on the field of technology. One of them is scanning objects using a computer. Object scanning is a technology that combines hardware to see objects and software to process data that has been received by the hardware. The traditional manufacturing process without 3D scanning involves the design, analysis and testing of prototypes needs a very long time and expensive. Whereas 3D scanning is considered capable of being more efficient and practical. This research is conducted to facilitate the 3D scanning process by utilizing sensors on the Kinect 360 camera. The object will be scanned with a 360 camera to get data on each side. The results obtained will be processed by the system and process it into 3D objects. The process of collecting object data using Eclipse software while object rotation using a stepper motor which controlled by arduino. Based on the results of tests from research, the infrared sensor on the Kinect camera is less than optimal in reflecting light back on the object that has uneven surfaces. But the sensor works well on the object that has a flat surface.
Keywords
Full Text:
PDF (Bahasa Indonesia)References
E. Junaidi, Waslaluddin, and L. Hasanah, “Rancang Bangun Scanner 3D Menggunakan Sensor Ultrasonik dengan Tampilan Realtime Berbasis Mikrokontroler,” Fibusi J. Online Fis., vol. 3, no. 2, 2015.
P. Dimensi, U. Bangunan, and D. I. Kawasan, “The 3 Dimensional Modeling For Buildings At Puspiptek , Serpong,” J. Ilm. Geomatika, vol. 18, no. 1, pp. 1–8, 2012.
R. Kastaman, Marsetyo, Sunarmani, and A. S. Somantri, “Aplikasi Pengolah Citra d engan Basis Fitur Warna ‘RGB’ untuk Klasifikasi Buah Manggis (Roni Kastaman dkk.),” J. Bionatura, vol. 10, no. 3, pp. 273–291, 2008.
Jogiyanto Hartono (1989:1), “Bab 2 landasan teori,” Apl. dan Anal. Lit. Fasilkom UI, pp. 4–25, 2006.
M. Abdurrozzaq Almuzakki, “Rancang Bangun Aplikasi Location Based Service Pencarian Lokasi Wisata Di Kota Semarang Berbasis Android,” Dok. karya Ilm., pp. 1–8, 2013.
Y. Lukito, J. Wahidin, and S. Husodo, “Analisis Kinerja Struktur Data Kd-Tree Pada Metode K-Nearest Neighbors Kata kunci : KD-Tree , K-Nearest Neighbors , Array,” Riau J. Comput. Sci., vol. 2, no. 2, pp. 1–6, 2016.
DOI: https://doi.org/10.32528/elkom.v2i1.3136
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 Jurnal Teknik Elektro dan Komputasi (ELKOM)
This work is licensed under a Creative Commons Attribution 4.0 International License.
View My Status Indexing Service
 | Publisher : |
| Editorial Address : |
