Automated Visual Inspection System for Mass Production of Hard Disk Drive Media (original) (raw)

Abstract

Manual visual inspection is currently used in the modern Hard Disk assembly process. This research shows a feasible design to automate the visual inspection process based on wavelength dependant detection. Two defect detection algorithms, one -computationally simple and another -complex, are explored in this paper. The developed system meets the performance of the current manual inspection method while providing high accuracy in targeted defects.

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References (25)

  1. L.Hepplewhite, T.J.Stonham, and R.J.Glover, "Automated Visual Inspection of Magnetic Disk Media," in ICECS '96, Rodos, Greece, 1996, pp. 732- 735.
  2. P. Castellini, M. Martarelli, and E.P. Tomasini, "Laser Doppler Vibrometry: Development of Advanced Solutions Answering to Technology's Needs," Mechanical Systems and Signal Processing, vol. 20, no. 5, pp. 1265-1285, August 2006.
  3. Jason Pressesky. (1997, January) Seagate Technology Characterizes Hard Drive Defects More Rapidly with Solution Based on NI Products. [Online]. http;//sine.ni.com/cs/app/doc/p/id/cs-378
  4. Xianghua Xie, "A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques," ELCVIA -Electronic Letters on Computer Vision and Image Analysis, vol. 7, no. 3, pp. 1-22, April 2008.
  5. B.C. Wilson and S.L. Jacques, "Optical reflectance and transmittance of tissues: principles and applications," IEEE Journal of Quantum Electronics, vol. 26, no. 12, pp. 2186-2199, Dec 1990.
  6. Norman Koren, "The Imatest program: comparing cameras with different amounts of sharpening," in Proc. SPIE 6069, San Jose, CA, USA, 2006, pp. 60690L-1 to 60690L-9.
  7. Zhi Sheng Chow, Melanie Po-Leen Ooi, Ye Chow Kuang, and Serge Demidenko, "Low-Cost Automatic Visual Inspection System for Media in Hard Disk Drive Mass Production," in Proceedings of The IEEE Instrumentation and Measurement Technology Conference, Graz, 2012, pp. 234-239.
  8. LOT-Oriel Group Europe. (2012, January) Optical filters for light sources. Document.
  9. The American Heritage® Dictionary of the English. (2004) Dictionary.com. [Online]. http;//dictionary.reference.com/browse/clustering
  10. R. Jornsten, Y. Vardi, and C.H. Zhang, "A Robust Clustering Method and Visualisation Tool Based on Data Depth," in Statistical Data Analysis Based on the L1-norm and Related Methods.: Birkhauser, 2002, pp. 353-366.
  11. Arun K Pujari, Data Mining Techniques, 4th ed.: Orient Blackswan, 2001.
  12. D Comaniciu and P Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603-619, May 2002.
  13. Huang, Chenn-Jung; Wang, Chua-Chin;
  14. Wu, Chi-Feng;, "Image processing techniques for wafer defect cluster identification," IEEE Design & Test of Computers, vol. 19, no. 2, pp. 44-48, March 2002.
  15. Michael B Dillencourt, Hannan Samet, and Markku Tamminen, "A general approach to connected component labeling for arbitrary image," Journal of the ACM 39, vol. 39, no. 2, pp. 253-280, April 1992.
  16. Hanan Samet and Markku Tamminen, "An improved approach to connected component labeling of images," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 1986, pp. 312-318.
  17. Yang Yang and David Zhang, "A novel line scan clustering algorithm for identifying connected components in digital images," Image and Vision Computing, vol. 21, no. 5, pp. 459-472, May 2003.
  18. Lifeng He, Yuyan Chao, and K. Suzuki, "A Linear-Time Two-Scan Labeling Algorithm," in Proceedings of the IEEE International Conference on Image Processing, vol. 5, San Antonio, USA, 2007, pp. 241-244.
  19. Luigi D Stefano and Andrea Bulgarelli, "A simple and efficient connected components labeling algorithm," in Proceedings 10th International Conference on Image Analysis and Processing, Los Alamitos, CA, 1999, pp. 322-327.
  20. Stanley R. Deans, The Radon Transform and Some of Its Applications. New York, USA: Dover Publications, Inc., 2007.
  21. Peter Toft. (1997, April) The Radon Transform. [Online]. http;//cogsys.imm.dtu.dk/staff/ptoft/Radon/Radon.html
  22. B.W. Silverman, Density Estimation for Statistics and Data Analysis. London, New York: Chapman & Hall, 1986.
  23. B Balasko, J Abonyi, and B Feil. (2005) Fuzzy Clustering and Data Analysis Toolbox. Department of Process Engineering, University of Veszprem.
  24. Nobuyuki Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-9, no. 1, pp. 62-66, January 1979.
  25. International Organization for Standardization, ISO14644-1 Cleanrooms and associated controlled environments , 1999.