| Title: | OS3-6 Surface defect detection for anodized aluminum tube based on automatic optical inspection |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 59-62 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS3-6 |
| Author(s): | Hsien-Huang P. Wu, Hsuan-Min Sun, Runzi Zhao |
| Publication Date: | January 19, 2017 |
| Keywords: | Automated Optical Inspection, surface defect detection, shock absorber tube (SAT), strong reflectivity surface |
| Abstract: | This paper proposed using the automated optical inspection (AOI) technology to develop a system which can automatically detect and classify defects for the shock absorber tube (SAT) made with steel. It is a high economic product which requires high-quality even under mass production. Nevertheless, the current manual quality-inspection is not only error-prone but also very manpower demanding. Due to the strong reflective property of the surface, as well as its various sizes and subtle flaws, it is very difficult to take good quality image for automatic inspection. However, based on the surface properties and shape of the SAT, lighting and proper structure combined with line scan camera have been designed to acquire image with good quality. Methods were proposed to detect various kinds of defects, and experimental results show that all the defects can be detected in real time. We believe the proposed system can greatly increase the efficiency and accuracy of defect detection and decrease the cost of manual labor. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS3/OS3-6.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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