Augmented reality for animal classification in mobile application for form 2 student

Azmi, Nur Athirah (2016) Augmented reality for animal classification in mobile application for form 2 student. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Animal classification or also known as animal taxonomy is the grouping or classifying of things into a framework or tree structure. The animal classification is divided by two which is vertebrate and invertebrate. The vertebrate is divided by five classes which are reptiles, mammals, amphibians, birds and fish while invertebrate is an animal without a backbones. In order to help these student learns about the classification of animal, the animal classification in mobile application is introduced and developed to give more information about the classification in details. This application will be develop in three-dimensional (3D) model. There are also other way for people to get information nowadays which is from the internet. This is because they tends to think that by using internet they can save their time and get the information they need quickly. From this observation, a responsive web is needed for developing this project as they are functioning as other platform for user to get information and material about the animal. This mobile application and the responsive web will be a help to students in improving learning process about Animal Classification.

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