Augmented Reality Performance in Detecting Hardware Components Using Marker Based Tracking Method

Computers have been widely used for various activities. The computer is composed of several components, including hardware components. Each piece of hardware has different specifications from the others. So, components that are installed depending on the specifications. Currently, users still don't know the components they use. Introducing hardware components to users can be done using Augmented Reality (AR) technology. The proposed system is developed using research and development (R&D) methods. The system was built using Unity3D and Vuforia SDK. This paper aims to analyze the performance of AR applications in detecting hardware components based on the light intensity, distance, and the angle of detection of a smartphone camera. The result performances show that the system works well in the distance parameters of ± 15 cm and ± 25 cm; while angles parameters in 5 °, 60 °, or 90 °. The proposed system was also working well when the components were partially covered by about 20% and 50%. Furthermore, the proposed system still works well when light intensity decreases by 100 Lux. The result shows that AR is potentially used for the user to know the components.