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Proceedings Paper

Profile detection system for transparent parts' shaping
Author(s): Yang Sun; Xin-zhu Sang; Chong-xiu Yu; Zhao Wu
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Paper Abstract

An automatically detecting system for the shaping of transparent parts is designed and achieved. The system is based on detecting laser spots for profile shaping. During the transmission of the laser beam conveyed on the surface of transparent parts emitted from a He-Ne laser, the laser spot is captured by a CCD (Charge-coupled Device) camera. When the transparent part is shaped, the laser beam is blocked by parts and the laser spot decreases. Three key points on the surface of transparent part is monitored from three lasers, which realize the flexible forming of transparencies. Moreover, the inspection of changing laser spot is investigated, and the basis points of lasers and CCD cameras in horizontal and vertical direction are located by mechanical devices. The whole measurement for the profile detection of laser spot includes four steps: image capturing, image preprocessing, contour extracting and selecting, fitting and calculating. The changes of laser spot can be measured and the threshold value can be converted into the control of transparent parts’ shaping based on the mathematical method. Using the proposed method, a real transparent object is measured. Experimental results show that the proposed measurement system is effective and feasible.

Paper Details

Date Published: 19 September 2013
PDF: 9 pages
Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 89051G (19 September 2013); doi: 10.1117/12.2034229
Show Author Affiliations
Yang Sun, Beijing Univ. of Posts and Telecommunications (China)
Xin-zhu Sang, Beijing Univ. of Posts and Telecommunications (China)
Chong-xiu Yu, Beijing Univ. of Posts and Telecommunications (China)
Zhao Wu, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 8905:
International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications
Farzin Amzajerdian; Astrid Aksnes; Weibiao Chen; Chunqing Gao; Yongchao Zheng; Cheng Wang, Editor(s)

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