https://scholars.lib.ntu.edu.tw/handle/123456789/576178
標題: | Automated optical inspection system for o-ring based on photometric stereo and machine vision | 作者: | Yang F.-S Ho C.-C Chen L.-C. LIANG-CHIA CHEN |
公開日期: | 2021 | 卷: | 11 | 期: | 6 | 來源出版物: | Applied Sciences (Switzerland) | 摘要: | This research developed an AOI (automated optical inspection) system for the O-Ring inspection. First, an AOI system was implemented to detect surface scratches, flow marks, non-fills, and indentations on elastomer O-Rings with high surface reflection coefficients. The proposed system employed multiple light source structures to realize the photometric stereo. This method eased the identification of the O-Ring contour and B?zier control points. Then, by applying an interpolation process on these control points, we estimated the paths of the object surface. Simultaneously, regression analysis was conducted to produce a new smooth surface and then a constructed surface was compared with the model built by the photometric stereo method. The difference was deemed the candidate defect location. Overall, the detection recall rate was 100% and accuracy reached 96.56%. This paper also developed an AOI system for the O-Ring dimension measurement. The system analyzed the contour of the O-Ring and reversely calculated the B?zier curve control points. Then, those control points were used with De Casteljau’s algorithm to estimate the O-Ring dimension with high accuracy. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103252309&doi=10.3390%2fapp11062601&partnerID=40&md5=3e83e84bad99451f41f7a58b0d0ce8d7 https://scholars.lib.ntu.edu.tw/handle/123456789/576178 |
ISSN: | 20763417 | DOI: | 10.3390/app11062601 |
顯示於: | 機械工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。