Fig. 1 ACV TL auto part(Throtle Valve, www.sdauto.co.kr)
Fig. 2 Various appearance defects of ACV TL parts
Fig. 3 The image reference vision inspection approach
Fig. 4 Experimental example for edge-tolerance vision algorithm[1-3] (a problem that a non-defective area is also detected as defective area)
Fig. 5 The block diagram of proposed geometry vision inspection for injection molded parts
Fig. 6 Concept diagram of injection molding automotive parts vision inspection equipment
Fig. 7 Vision inspection equipment of ACV TL injection molding automotive parts
Fig. 8 UI screen image for vision inspection application program
Fig. 9 Example of detection of defective terminal protrusion during inspection process
Fig. 10 Experimental results using the proposed vision inspection method (defect detection examples)
Table. 1 Comparison of existing edge-tolerance algorithm and Proposed method
References
- H. Onishi, Y. Sasa, K. Nagai, and S. Tatsumi, "A Pattern Defect Inspection Method by Parallel Grayscale Image Comparison without Precise Image Alignment," Conference of the Industrial Electronics Society, vol. 3, pp. 2208-2213, Nov. 2002.
- K. Sakai, O. Kikuchi, K. Kitami, M. Umeda, and S. Ohno, "Defect detection method using statistical image processing of scanning acoustic tomography," International Symposium on the Physical and Failure Analysis of Integrated Circuits, pp. 293-296, July 2016.
- J. S. Cho, G. S. Ha, J. W Lee, and S. C. Hong, "TFT-LCD Defect Inspection Method by Morphological Image Processing," Journal of the Institute of Electronics and Information Engineers, 2007.
- J. S. Cho, G. S. Ha, J. W. Lee, D. H. Kim, and E. Jeon, "Defect Cell Extraction for TFT-LCD Auto-Repair System," Institute of Control, Robotics and System, vol. 14, no. 5, pp. 432-437, May 2008. https://doi.org/10.5302/J.ICROS.2008.14.5.432
- J. H. Kim, T. Y. Lee and Y. H. Ko, "Self Reference PCSR-G Method for Detecting Defect of Flat Panel Display," Journal of Korea Multimedia Society, vol. 18, no. 3, pp. 312-322, Mar. 2015. https://doi.org/10.9717/kmms.2015.18.3.312
- D. Yin, Y. Zhang, D. Xiong, and Q. Wu, "Research on Methods of Features Extraction for Identifying False RMB Ultraviolet Images," International Conference on Intelligent Control and Computer Application, 2016.
- J. S. Kwon, and D. W. Kim, Digital Image Processing Theory and Practice, HongRung Publish Company, 2000.
- K. B. Kim, C. W. Hur, and D. H. Song, Intelligent Defect Detection from Ceramic Images. International Conference On Future Information & Communication Engineering, vol. 6, no. 1. pp. 73-76, June 2014.
- L. Thames and D. Schaefer, Cybersecurity for Industry 4.0: Analysis for Design and Manufacturing, 1st ed. Berlin, Springer, 2017.