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Proceedings Paper

A Visual System For Complex Industrial Parts
Author(s): Masahiko Yachida; Saburo Tsuji
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Paper Abstract

As a step to automate assembly of various industrial parts, this paper describes a machine vision system that can recognize a variety of complex industrial parts and measure the necessary parameters for assembly, such as the locations of screw holes. Emphasis is given to a method for extracting useful features from the scene data for complex industrial parts so that accurate recognition of them is possible. The proposed method has the following features: 1) simple features are detected first in the scene and more complex features are examined later, using the locations of the previously found features; 2) the system is provided with a high-level supervisor that analyzes the current information obtained from the scene and structural models of various objects, and proposes the most promising feature to be examined next for recognizing the objects in the scene; 3) several sophisticated feature extractors are used to detect the complex features. The system has been tested on several sets of parts of small industrial gasoline engines and the results were satisfactory.

Paper Details

Date Published: 9 January 1979
PDF: 10 pages
Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); doi: 10.1117/12.956753
Show Author Affiliations
Masahiko Yachida, Osaka University (Japan)
Saburo Tsuji, Osaka University (Japan)

Published in SPIE Proceedings Vol. 0155:
Image Understanding Systems and Industrial Applications I
Ram Nevatia, Editor(s)

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