Paper Defect Detection with Automatic Rejection Option Using Camera & Raspberry PI
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2017, Vol 17, Issue 2
Abstract
In any industry, quality control is an essential and inevitable part of the process. Defect detection in paper is one of the most important quality control measures in the paper manufacturing process. This work aims at identifying the spots and tracking down the holes in the paper. The use of Image processing and Laser sensor is a dominant technology to recognize defect in the paper. The existing methodology is based on the scanning slide concept. This uses a scanning slide and detects the black spots as it moves from one end to another. The main drawback in this technique is that the spots on one end of the paper are missed when the scanner is on the other end. The proposed methodology aims at a fast and precise solution for detection of defects. In this method, laser sensors and high definition camera are introduced to sense micron sized spots and minute holes in the paper. The results show a considerable improvement in terms of precision and speed when compared to the existing methodology. This work is successful in detecting the defects and hence improving the quality of paper.
Authors and Affiliations
K. Samba Siva Rao, Dr. S. Poornachandra, S. Franklin . , S. Siddharth4, V. G. S. Zumesh Ram5
Keywords
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