DETECTING CURRENCY NAMES IN THE BALINESE LANGUAGE USING YOLOV8 ALGORITHM

Abstract

The web app development aims to reintroduce the Balinese language to the younger generation. By using object detection, this project introduces the value of money in Balinese in real-time via a camera or image. Object Detection is a machine that can recognize several objects and determine the position of these objects in an image. YOLO is currently popular because of its speed and accuracy in detecting objects well. The detection feature development in this final project was successfully implemented well into the web app. This project uses a dataset accuracy rate of 76.6%, Flask as a website framework, Yolo as object detection, and OpenCV as camera settings. To develop an application, many steps need to be taken. Starting from research, application design, implementation process, and testing, until the application is successfully developed. All these stages will be explained in this paper.