COMMAX 2020 UiTM Kampus Kuala Terengganu

Augmented Reality is a cutting-edge technology that could greatly improve the execution of complex operations. Augmented Reality combines virtual and physical reality, allowing new resources accessible to the user to ensure flexibility in information transfer through various systems and in different environments. There is various use of Augmented Reality that has been develop. For instance in Education particularly for the doctor trainee, with the use of Augmented Reality applications they can benefits the technology with a faster learning curve compared to traditional ways. To this day, Augmented Reality is one of the most demanding technology but it is still continues to be affected by serious flaws which undermine the industrial implementation. This paper presents an Augmented reality applications Using ORB(Oriented Fast and BRIEF) algorithm which is feasible in maintenance activities, underlining the benefits it might offer. At the same time, Augmented Reality 's principal shortcomings are reflected on and potential lines of inquiry are suggested. This study explores reflects on the basic of ORB algorithm. A mobile application is created using Unity engine and Vuforia extension. Using opencv to test the algorithm, a comparison is made on one image target that is set as a marker for the algorithm to perform keypoints selection and matching. A test is conducted with different view angle to obtain the best possible matching values of keypoints. This shows that the algorithm can compute keypoint matching with fast and accurate compared to its predecessor algorithm such as SURF and SIFT. The limitations of ORB algorithm is that it is not robust as SURF algorithm. It can be concluded that the ORB algorithm can produce high accuracy and matching points compare to SIFT and SURF because the algorithm works on the binary descriptors and it is not patented therefore it is can be used by anyone freely. Further improvement of algorithm can be made to improve match rate.