Share Email Print

Proceedings Paper

Visual inspection of industrial sheet metal part with CAD data
Author(s): Min Tang; Zuxun Zhang; Jianqing Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880K (15 November 2007); doi: 10.1117/12.747088
Show Author Affiliations
Min Tang, Wuhan Univ. (China)
Zuxun Zhang, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top