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Shark Classification Using Augmented Reality
Azmin Ashraff Bin Abdul Aziz
Supervisor: Dr. Abdul Aziz K Abdul Hamid
Bachelor of Computer Science with Maritime Informatics
School of Informatics and Applied Mathematics
Sharks Classification Using Augmented Reality is an augmented reality system that focus
on type of sharks. The problems that occur is when the students want to learn about
shark species and body parts, they have some difficulty to find the real sharks. The
method that have been use is Unity and Vuforia for database. So that, the solution is to
make an application that can show the body parts of sharks. The objectives are to make
the learning session become more fun, easier to understand and to make it more
attractive. Extreme programming have been use to develop this application. For the
expected result, I hope that students can make the learning session become more
effective. As a conclusion, this application is so useful for students and people that want
to learn about shark species.
685 | UMT UNDERGRADUATE RESEARCH DAY 2018