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Proceedings Paper

Very low cost in-process gauging system
Author(s): John W. V. Miller; V. Shridhar; E. Wicke; C. Griffin
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Paper Abstract

A vision system to gauge two types of automotive parts has been developed. One of the part types is a power steering connector in which the depth and width of the groove, and the distance between the start of the groove and the end of the power steering line are gauged. For the second type of part, a crimped connector attached to a brake hose, measurements of interest are the two diameters of the crimp and the bell length where the hose is inserted into the connector. A standard video camera is used to acquire the image of a back-illuminated image of the part which is digitized and captured with a frame grabber. The basic hardware to accomplish the gauging tasks consists of a standard video camera, light source, frame grabber and industrial personal computer. In order to minimize hardware costs, a standard 50 mm C-mount camera lens and extension tube was used with the video camera. Consideration had been made to use more expensive telecentric optics so that parts placement would not cause a change in magnification with a resulting loss of accuracy. With the 50 mm lens, however, magnification effects were lessened due to the greater standoff distance between camera and part. For image acquisition, a low-cost PCI-bus frame grabber-card was chosen. With this type of card, high-speed video capture is possible due to the very wide bandwidth of the PCI bus. Combined with a Pentium-based PC, rapid image acquisition and analysis can be performed so that every part can be gauged at full production rates. Since the gauging rate exceeds the production rate by a significant factor, a single computer and frame grabber with camera multiplexer can process data in real time from up to four measurement stations simultaneously.

Paper Details

Date Published: 6 October 1998
PDF: 6 pages
Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); doi: 10.1117/12.326957
Show Author Affiliations
John W. V. Miller, Univ. of Michigan/Dearborn (United States)
V. Shridhar, Univ. of Michigan/Dearborn (United States)
E. Wicke, Univ. of Michigan/Dearborn (United States)
C. Griffin, Univ. of Michigan/Dearborn (United States)

Published in SPIE Proceedings Vol. 3521:
Machine Vision Systems for Inspection and Metrology VII
Bruce G. Batchelor; John W. V. Miller; Susan Snell Solomon, Editor(s)

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