Automated Optical Inspection System for O-Ring Based on Photometric Stereo and Machine Vision
Source abstract
Abstract
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 Bézier 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 Bézier curve control points. Then, those control points were used with De Casteljau’s algorithm to estimate the O-Ring dimension with high accuracy.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Surface Roughness and Optical Measurements · Advanced machining processes and optimization · Advanced Measurement and Metrology Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate Institute of Manufacturing Technology, Department of Mechanical Engineering, National Taipei University of Technology, 1, Sec. 3, Zhongxiao E. Rd., Taipei 10608, Taiwan
Department of Mechanical Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan
Funding
Ministry of Science and Technology, Taiwan
References (21)
Show source-provided references
1. Computer vision algorithm for measurement and inspection of O-Rings10.1016/j.measurement.2016.09.012 ↗
2. Ho, C.-C., Lu, J.-J., and Li, P.-C. (2018, January 8–10). Development of auto defect inspection system for cell phone silicone rubber gasket. Proceedings of the 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), Kunming, China.10.1117/12.2508132 ↗
3. Husmann, T., and Kreimeier, D. (2015). Measurement of radial-axial rolled rings by using image processing and thermography. Key Engineering Materials, Trans Tech Publ.10.4028/www.scientific.net/KEM.651-653.278 ↗
4. Husmann, S., Husmann, T., and Meier, H. (2015). Measurement of rings via image processing during and after radial-axial ring rolling. Applied Mechanics and Materials, Trans Tech Publ.10.4028/www.scientific.net/AMM.794.136 ↗
5. Good approximation of circles by curvature-continuous Bézier curves10.1016/0167-8396(90)90019-N ↗
6. Lin, J.-F. (2012). Use of Cubic Bézier Curve Approximation of Fourth-Order Bézier Curve. [Master’s Thesis, National Chung Cheng University].
7. Courbes et surfaces pour la CFAO
8. Approximation of circular arcs by cubic polynomials10.1016/0167-8396(91)90007-X ↗
9. Urbikain, G., Alvarez, A., López de Lacalle, L.N., Arsuaga, M., Alonso, M.A., and Veiga, F. (2017). A reliable turning process by the early use of a deep simulation model at several manufacturing stages. Machines, 5.10.20944/preprints201703.0196.v1 ↗
10. Combination of friction drilling and form tapping processes on dissimilar materials for making nutless joints10.1177/0954405416661002 ↗
11. (2005). Fluid Power Systems—O-Rings—Part 3: Quality Acceptance Criteria, International Organization for Standardization. ISO 3601-3:2005.
12. (2012). Fluid Power Systems—O-Rings—Part 1: Inside Diameters, Cross-Sections, Tolerances and Designation Codes, International Organization for Standardization. ISO 3601-1:2012.
13. Zhang, J. (2004). A New 3D Reconstruction Algorithm Based on Photometric Stereo. [Master’s Thesis, Northwestern Polytechnical University].
14. Topological structural analysis of digitized binary images by border following10.1016/0734-189X(85)90016-7 ↗
15. Projector calibration for pattern projection systems10.1016/S1665-6423(14)71608-6 ↗
16. Dubrofsky, E. (2009). Homography Estimation. [Ph.D. Thesis, The University of British Columbia].
17. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature
18. On de Casteljau’s algorithm10.1016/S0167-8396(99)00023-0 ↗
19. (2016). Fluid Power Systems—O-Rings—Part 2: Housing Dimensions for General Applications, International Organization for Standardization. ISO 3601-2:2016.
20. (2002). Aerospace Fluid Systems—O-Rings, Inch Series: Inside Diameters and Cross Sections, Tolerances and Size-Identification Codes—Part 1: Close Tolerances for Hydraulic Systems ISO, International Organization for Standardization. ISO 16031-1:2002.
21. (2003). Aerospace Fluid Systems—O-Rings, Inch Series: Inside Diameters and Cross-Sections, Tolerances and Size-Identification Codes—Part 2: Standard Tolerances for Non-Hydraulic Systems, International Organization for Standardization. ISO 16031-2:2003.