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Proceedings Paper

On-line defects inspection of floating glass by variable LED raster
Author(s): Wenyong Yu
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Paper Abstract

Purpose: To detect and identify all kinds of visible defection on floating glass production line in real time, such as bubbles, tin ash, impurities, stone, craterlet, thread, distortion, etc., which is extremely important for glass process management, grading and stowing. Methods: A set of machine vision system is used to detect the defects. In this system, a novel illumination technique and sensor unit based on time-variale LED raster is developed to obtain both the distortion and deformation features together. The resulting defects are determined by a RLE-based image processing algorithm and transferred to subsequent marking or cutting devices. Results: Real experiments illustrated the stability and effectiveness of this system, by which most of the main defects are inspected at real time under the speed of 30 m/min. With 5 m glass width, the inspection precisions are 0.1 mm/pixel both in direction of width and length. Applications verify the speed, reliability and accuracy of the proposed method. Conclusions: Quality inspection of floating glass at real time requires multiple linear cameras to construct distributed data processing system. Also material characters of the glass should be stressed to design proper optical structure, so that the glass defects will be inspected successfully. Using this system, the quality of floating glass can be improved effectively.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800625 (23 November 2011); doi: 10.1117/12.901870
Show Author Affiliations
Wenyong Yu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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