DOI QR코드

DOI QR Code

Development of On-line Wrinkle Measurement System Using Machine Vision

머신 비젼을 이용한 실시간 링클 측정 시스템 개발

  • Published : 2008.03.01

Abstract

Roll to roll (R2R) manufacturing process, also known as 'web processing', has been tried for producing electronic devices on a flexible plastic or metal foil. To increase the performance and productivity the R2R process, effective control and on-line supervision for web quality becomes very important. Wrinkle is one of the defects, which is incurred due to compressive stresses. A system for on-line measurement of wrinkle is developed using area scan camera and machine vision laser. The 2D image, obtained by area scan camera, is produced by Gaussian regression method to characterize the wrinkle on a transparent web. The experiment proves that 0.3mm wrinkle height can be measured successfully with 74fps.

Keywords

Roll to Roll;Wrinkle Measurement

References

  1. Duane Smith, R., 1995, 'The Winding Committee of the Finishing and Converting Division,' Roll and Web Defect Terminology
  2. De Piero, F.W., Trivedi, M.T.,1996, '3-D Computer Vision using Structured Light : Design, Calibration and Implementation Issues,' Advances in Computers 43 , pp. 243-278 https://doi.org/10.1016/S0065-2458(08)60646-4
  3. Krystek, M., 1996, 'A Fast Gauss Filtering Algorithm for Roughness Measurements,' Precision Engineering 19, pp. 198-200 https://doi.org/10.1016/S0141-6359(96)00025-6
  4. Raja, J., Muralikrishnan, B., Fu, S., 2002, 'Recent Advances in Separation of Roughness, Waviness and Form,' Precision Engineering 26, pp. 222-235 https://doi.org/10.1016/S0141-6359(02)00103-4
  5. ISO 11562, 1996, 'Profile Method.Metrological Characteristics of Phase Correct Filters,' Geometrical Product Specification (GPS).Surface Texture: International Organization for Standardization
  6. ISO/TR 16610, 2000, 'Part 10. Robust and Spline Filtering,' Geometrical Product Specification (GPS).Filtration
  7. Brinkmann, S., Boshwinna, H., Lemke, H.W., 2001, 'Accessing Roughness in Three- Dimensions Using Gaussian Regression Filtering,' Int. J. Machine Tools and Manufacture 41, pp. 2153-2161 https://doi.org/10.1016/S0890-6955(01)00082-7