Ball Detection and Color Identification for a Mobile Robot using a 2D Camera
Received: 3 December 2024 | Revised: 9 January 2025 and 22 January 2025 | Accepted: 24 January 2025 | Online: 3 April 2025
Corresponding author: Quoc Bao Tran
Abstract
In this study, a novel method is developed to help the mobile robot system accurately detect and recognize the color of a ball in environments with light disturbances using deep learning. The YOLOv8 algorithm is applied to detect the ball and identify its color. The effectiveness of the algorithm is tested in various lighting conditions and when the balls are inside a silo and when they are outside. The developed algorithm identifies balls even when they are partially obscured by shadows.
Keywords:
YOLOv8, ball detection, 2D camera, disturbance environments, mobile robotDownloads
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Copyright (c) 2025 Khac Trung Chu, Minh Hieu Hoang, Quoc Bao Tran
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