Visual inspection of industrial sheet metal part with CAD data

Min Tang; Zuxun Zhang; Jianqing Zhang

doi:10.1117/12.747088

15 November 2007 Visual inspection of industrial sheet metal part with CAD data

Min Tang, Zuxun Zhang, Jianqing Zhang

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880K (2007) https://doi.org/10.1117/12.747088
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Introduce a CAD-based visual inspection system, which is designed to measure geometry dimension of sheet metal parts automatically, such as distance, angle, parameters of circle, etc. The inspection system extracts the features of sequence images depending on CAD data, and then to reconstruct real 3D of part. It outputs the measurement results against the various requirements of customer. The main contents of the paper include searching and matching of group of lines with image space constrains; visual inspection and reconstruction of sheet metal parts based on the photogrammetry generalized point photogrammetry. The result of experiments shows that the inspection system is robust and achieves the precision level of repeated manual measurement of an experienced inspector. The arithmetic discussed in the paper has potential to deal with another object with sharpness edges except sheet metal part.

Citation Download Citation

Min Tang, Zuxun Zhang, and Jianqing Zhang "Visual inspection of industrial sheet metal part with CAD data", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880K (15 November 2007); https://doi.org/10.1117/12.747088

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