AUGMENTED REALITY GUIDE APP FOR CST

Authors

  • Kinga Lhaden Dakpa Electronics and Communication Engineering Department, College of Science and Technology, Royal University of Bhutan
  • Basu Mati Sharma Electronics and Communication Engineering Department, College of Science and Technology, Royal University of Bhutan
  • Sonam Chophel Electronics and Communication Engineering Department, College of Science and Technology, Royal University of Bhutan
  • Kamal Kumar Chapagai Electronics and Communication Engineering Department, College of Science and Technology, Royal University of Bhutan
  • Pema Zangmo Electronics and Communication Engineering Department, College of Science and Technology, Royal University of Bhutan

Keywords:

Augmented Reality, mobile guide application, Blender, Krita, Unity, Vuforia

Abstract

Augmented Reality (AR) has been established as one of the technologies with highest potential to revolution[1]alize the world. It is the combination of real and the virtual world that is viewed using an AR device. It is a new age technology and has a wide range of applications such as in education, tourism, gaming and entertainment. This project focuses on building an AR software application for detection of a location and provide text and audio feedback. The College of Science and Technology is used as a pilot area for the current work. Five locations identified for testing the prototype are the gate, lab, library, ATM junction and the library junction. The model was designed using Blender software with the reference image designed with Krita. The model was then imported into Unity Environment with Vuforia Plug-in. A text plane and an audio button was also added to the environment. The application on android platform provides high precision with a delay of less than one second to detect an image target and ideal sensitivity of 100% at 8m, 5m and 3m for gate, lab and library, respectively, under optimal condition of bright lightings with the angle of the phone camera at 90 degrees to the image target.

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Published

2022-12-23

How to Cite

Dakpa, K. L., Sharma, B. M., Chophel, S., Chapagai, K. K., & Zangmo, P. (2022). AUGMENTED REALITY GUIDE APP FOR CST. Zorig Melong- A Technical Journal of Science, Engineering and Technology, 7(1), 1–7. Retrieved from https://journal.cst.edu.bt/index.php/zm/article/view/34

Issue

Vol. 7 No. 1 (2022): Volume 7 Issue 1

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

All articles published in Zorig Melong are registered under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. unless otherwise mentioned. The journal allows unrestricted use of articles in any medium, reproduction, and distribution by providing adequate credit to the authors and the source of publication.