SISTEM DETEKSI GAWANG MENGGUNAKAN KAMERA PADA ROBOT BERMAIN BOLA BERBASIS PROSESOR ARM

MILIANO, FERDY FERICO and Tutuko, Bambang and Zarkasi, Ahmad (2019) SISTEM DETEKSI GAWANG MENGGUNAKAN KAMERA PADA ROBOT BERMAIN BOLA BERBASIS PROSESOR ARM. Diploma thesis, Sriwijaya University.

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Abstract

In a soccer game, a robot playing the ball must be able to dribble and kick the ball towards the goal. This robot playing ball is made to be able to recognize the ball and the goal by identifying the goal detection using a camera, so that it can find the value around the edge of the robot to kick the ball towards the opponent's goal. In this study, a goal wick detection system was developed using the Canny method. The Canny method can be used to detect all edges or lines that make up an object image. The advantage of the Canny method is the ability to reduce noise before performing edge detection calculations. The algorithm used in this goal detection first takes data before performing the Grayscale process where the robot's movements will be converted from RGB data to Grayscale. Grayscale image is an image obtained from the average value of red, green and blue images. RGB image value divided by 3 to get the average value of the RGB image. Then continue the edge detection process to determine the shape of the visible goal. Then calculate the circumference of the goal shape using the chain method to determine the pixel value of the goal. By using Canny's edge detection algorithm, the goal can be recognized perfectly

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Goal Detection, Robot playing ball, Canny Method, RGB, Grayscale
Subjects: T Technology > TT Handicrafts Arts and crafts
Divisions: Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Ferdy Ferico Miliano
Date Deposited: 04 Sep 2019 11:18
Last Modified: 04 Sep 2019 11:18
URI: http://repository.unsri.ac.id/id/eprint/6371

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