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Proceedings Paper

Automatic optical inspection system design for golf ball
Author(s): Hsien-Huang Wu; Jyun-Wei Su; Chih-Lin Chen
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Paper Abstract

ith the growing popularity of golf sport all over the world, the quantities of relevant products are increasing year by year. To create innovation and improvement in quality while reducing production cost, automation of manufacturing become a necessary and important issue. This paper reflect the trend of this production automa- tion. It uses the AOI (Automated Optical Inspection) technology to develop a system which can automatically detect defects on the golf ball. The current manual quality-inspection is not only error-prone but also very man- power demanding. Taking into consideration the competition of this industry in the near future, the development of related AOI equipment must be conducted as soon as possible. Due to the strong reflective property of the ball surface, as well as its surface dimples and subtle flaws, it is very difficult to take good quality image for automatic inspection. Based on the surface properties and shape of the ball, lighting has been properly design for image-taking environment and structure. Area-scan cameras have been used to acquire images with good contrast between defects and background to assure the achievement of the goal of automatic defect detection on the golf ball. The result obtained is that more than 973 of the NG balls have be detected, and system maintains less than 103 false alarm rate. The balls which are determined by the system to be NG will be inspected by human eye again. Therefore, the manpower spent in the inspection has been reduced by 903.

Paper Details

Date Published: 28 September 2016
PDF: 12 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712S (28 September 2016); doi: 10.1117/12.2237286
Show Author Affiliations
Hsien-Huang Wu, National Yunlin Univ. of Science and Technology (Taiwan)
Jyun-Wei Su, National Yunlin Univ. of Science and Technology (Taiwan)
Chih-Lin Chen, National Yunlin Univ. of Science and Technology (Taiwan)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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