On-line Defects Inspection of Floating Glass By Variable LED Raster
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.
machine vision floating glass defect LED raster image processing
Wenyong Yu
State Key Lab of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan, P.R. China 430074
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）