An automatic system for picking up table tennis balls based on machine vision

Linyue Tan

doi:10.1117/12.3012224

21 December 2023 An automatic system for picking up table tennis balls based on machine vision

Linyue Tan

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702M (2023) https://doi.org/10.1117/12.3012224
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

This article presents the establishment of a machine vision system intended for the retrieval of table tennis balls within a training hall. Capturing images of table tennis balls of various colors in the RGB color format was achieved through the utilization of a high-resolution camera affixed to the pick-up robot. To counteract the influence of environmental lighting conditions in the training hall, the acquired RGB images were converted into the HSI color format. Subsequently, image segmentation was executed based on predefined hue and saturation thresholds, enabling the precise identification and categorization of table tennis balls. The utilization of Canny edge detection and Hough circle detection methodologies was employed to designate the positions of the table tennis balls. Through analysis of circle centers and quantities, the specific locations of the table tennis balls were ascertained for the pick-up robot. This automated system, grounded in machine vision, holds the potential to significantly enhance the level of automation involved in the process of collecting table tennis balls.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Linyue Tan "An automatic system for picking up table tennis balls based on machine vision", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702M (21 December 2023); https://doi.org/10.1117/12.3012224

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KEYWORDS

Color

Image processing

Image segmentation

Machine vision

RGB color model

Education and training

Cameras

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