Defect Detection for Oxidized Surface of Aluminum Foil

• Main Authors: Nai-Ze Chen, 陳乃澤
• Other Authors: Hsien-Huang Wu
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/63081184839657295913

碩士 === 國立雲林科技大學 === 電機工程系 === 104 === With automated optical inspection (AOI) of development, has gradually replaced the traditional manual inspection, whether in electronic, semiconductor, printing, medical and other industries, more and more by the need to improve the value of machine vision in industrial production. In this paper, simulation and development of detection systems, applied to the surface flaw detection of metal thin sheet of aluminum foil on to find out all the flaws position faster than with the naked eye, the subsequent processing to help save manpower and increase production speed. In this study, using a servo motor to drive the two rollers, so that the aluminum foil in order to do more than 6 centimeters per second uniform motion, while the camera scans the surface of nearly 50 cm wide sheet of aluminum foil like to take and then do image processing on the original image and image stitching, and then calculate the image position and size of defects. During the test, because the area scan camera easily lead to uneven lighting, coupled with reflective aluminum foil itself will indirectly affect the results after image processing, image processing to do so before the first of the original image do ROI, then each 5 mosaic images do restore, you can avoid the problem of uneven lighting image. In accordance with the experimental results show that the moving speed of the laid sheets of aluminum foil, the defect can be detected.