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Proceedings Paper

Challenges of low-angle metal surface (crosshead) inspection
Author(s): Jaroslaw P. Sacha; Spencer D. Luster; Behrouz N. Shabestari; John W. V. Miller; P. Hamel
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Paper Abstract

The Crosshead Inspection System, CIS, utilizes machine vision technology for on-line inspection of a diesel engine component - a crosshead. The system includes three functional modules. 1) Part handling subsystem - presents parts for inspection and accepts or rejects them based on signals for the image analysis software. 2) Image acquisition hardware - Optics, light sources and two video cameras collect images of inspected parts. 3) Image analysis software - analyzes the images and sends pass/fail decision signals to the handling subsystem. The CIS acquires and inspects two images of each part. The upper camera generates an image of the part's top surface, while the lower camera generates an image of the so-called 'pockets' of the lower half. Both images are acquired when a part-in-place signal is received from the handling system. The surface inspection camera and light source are positioned at opposed low angles relative to the surface. Irregularities manifest themselves as shadows on the surface image. These shadows are detected, measured and compared to user specifications. The pocket inspection detects the presence of tumbler stones. The contrast of these stones is enhanced with circularly polarized lighting and imaging. The graphical user interface of the CIS provides easy setup and debugging of the image processing algorithms. A database module collects, archives and present part inspection statistics to the user. The inspection rate is sixty parts per minute.

Paper Details

Date Published: 27 August 1999
PDF: 8 pages
Proc. SPIE 3836, Machine Vision Systems for Inspection and Metrology VIII, (27 August 1999); doi: 10.1117/12.360268
Show Author Affiliations
Jaroslaw P. Sacha, Edison Industrial Systems Ctr. (United States)
Spencer D. Luster, Light Works (United States)
Behrouz N. Shabestari, Edison Industrial Systems Ctr. (United States)
John W. V. Miller, Univ. of Michigan/Dearborn (United States)
P. Hamel, Metal Forming and Coining Corp. (United States)

Published in SPIE Proceedings Vol. 3836:
Machine Vision Systems for Inspection and Metrology VIII
John W. V. Miller; Susan Snell Solomon; Bruce G. Batchelor, Editor(s)

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