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Politeknik Negeri Ujung Pandang
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Implementation of Color Matching in Ball Image Processing Using OpenCV Awah Rizqi Tanzil Haq Azami
Computer Engineering and Applications Journal Vol. 15 No. 1 (2026)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v15i1.1327

Abstract

This research focuses on object detection through color matching, enabling machines to detect objects based on specific colors using OpenCV, a Python library widely used in computer vision projects. As a form of Machine Learning and Artificial Intelligence, this method allows machines to automatically learn and classify objects by simulating the human visual system. The study aims to enable a machine to detect and locate a ball through digital image processing using a webcam. The research method includes digital image processing, implementation on a Raspberry Pi, and testing on a robot, where logic is applied to guide the robot toward the ball by detecting its color. The outcome is an object detection system that identifies the ball’s position in two dimensions based on its specific color. In this case, the RGB code (164, 122, 0) and a minimum ball size of 10 radians were successfully implemented on the robot. However, the system has limitations under certain conditions. Future improvements will involve integrating TensorFlow for dataset processing and OpenCV for real-time object detection to achieve more accurate results. Keywords: Artificial Intelligence, Color Matching, Computer Vision, OpenCV, Digital Image Processing.
Co-Authors Asriani Tain F, Rahman Farhan Rahman Halide, Lidemar I, Mahjud I, Puspita Ibrahim Abduh Ichsan Mahjud Ihsary, Muh. Ilham M, Mahyati Mahyati Mike Faulkner MN, Fadli N, Adil N, Mujahida Nur Afifah Nurul Khaerani Hamzidah Pulung Hendro Prastyo Rizal M Sriutari Amelia Sulaeman Sulaeman U, Hasanah Umar, Nuraeni Y, Yusrianto