Using Marker Based Augmented Reality for Training in Automotive Industry
Faieza Abdul Aziz1, Faid Abdullah2, Lai Lai Win3

1Faieza Abdul Aziz, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia.
2Faid Abdullah, Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, UPM, Serdang, Selangor, Malaysia.
3Lai Lai Win, Ph.D. Student Researcher, Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia.
Manuscript received on 13 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 24 January 2019 | PP: 118-121 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: ES2095017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Currently, Augmented Reality (AR) is a rapid growing research topic in many different training fields. The user can interact with information overlay onto real world as well as computer model generated and displayed within it. This study develop an AR application for training system in automotive industry and evaluate its effectiveness. The application was developed using Unity 3D and Vuforia and installed in Samsung Galaxy A Tablet. For the experiment, 10 students from Institut Latihan Perindustrian Kuala Lumpur were selected and divided randomly into two groups; paper based group and AR based group. Participants changed the task at the end of each condition and answer survey at the end of the experiment. The experiment shows reduction of 10.27 % and 42.86 % in Task Completion Time and error counts using AR based instruction. The survey analysis also shows that most of the participant preferred AR to be used in performing maintenance task. This is an ongoing project where Virtual Reality application for engine assembly, disassembly and performance will be evaluated to enhance learning method in tertiary education. The engine system will be designed by using Maya 2018 and will import to Unity game engine. From this experiment, the VR application will be evaluated and analysed in order to evaluate the effectiveness of VR implementation.
Keywords: Augmented Reality, Maintenance Instruction, Unity 3D, Vuforia.
Scope of the Article: Mechanical Maintenance