Implementation of ORB and Freak Algorithm in English Applications for Learning Objects Around

Abstract

Nowadays children's interest in learning English is still low, so it is necessary to provide interesting and innovative learning media. Learning English can be started by studying the objects around them with a method that does not make children glued to their gadgets. This study aims to create an English learning application that can introduce, add, and memorize the vocabulary of surrounding objects for children but involves the role of a more mature person. The Rational Unified Process is used as a system development method in this research. RUP consists of perspective and core processes as well as a lifecycle phase. The aspect that is the focus of this research is the object guessing feature by applying the ORB algorithm and the Freak algorithm in matching images in the form of a quiz. The ORB algorithm is used for keypoint detection in an image. Freak binary algorithm descriptor that uses pattern sampling and method of selection pairs used by BRISK. Optimizing the role of parents in this quiz is in adding objects to the quiz. The results of this study are an android-based application consisting of aspects of recognizing existing objects such as dictionaries and aspects of practice in the form of guessing objects that are around. in the form of a quiz. This quiz is completely controlled by an older person. The hope is that there is an active role for parents or people who are more mature in the learning process and not make children passive.