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Proceedings Paper

Design and implementation of high power LED machine vision lighting system
Author(s): Hua-peng Xiao; Ming-dong Li; Xing-yu Gao; Peng-bo Chen
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Paper Abstract

The machine vision system has already become the optical mechanical electrical integration products or components of products in modern equipment manufacturing industry. The new LED is more excellent than the halogen tungsten lamp, laser and other traditional light source. It is used in machine vision system more and more. From the analysis of the functional characteristics, this article pointed out the difference between machine vision LED lighting system and traditional optical instrument lighting system. By the interactive methods which integrate with synthesis design analysis and Simulation, this paper import the element of field flattening theory into traditional lighting design, making it a kind of the new flat field lighting system. The effect when it was applied to high power LED lighting system is good. With the new design concept, through the interactive design method and the new image quality evaluation system, we have a contrast experiment on a kind of LED single lamp lighting system. The results show that the field flat lighting system is superior to the traditional one. The most distinctive feature of the new light system is that, it can improve the performance of critical illumination system in certain procedures -- poor illumination uniformity performance. This new lighting optical structure and the new lighting quality evaluation system have broad prospects.

Paper Details

Date Published: 5 November 2014
PDF: 10 pages
Proc. SPIE 9272, Optical Design and Testing VI, 92720R (5 November 2014); doi: 10.1117/12.2072434
Show Author Affiliations
Hua-peng Xiao, Guangxi Normal Univ. (China)
Ming-dong Li, Guilin Univ. of Electronic Technology (China)
Xing-yu Gao, Guilin Univ. of Electronic Technology (China)
Peng-bo Chen, Guilin Univ. of Electronic Technology (China)

Published in SPIE Proceedings Vol. 9272:
Optical Design and Testing VI
Yongtian Wang; Chunlei Du; José Sasián; Kimio Tatsuno, Editor(s)

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