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Proceedings Paper

Sequential algorithms for the inspection of surface-mounted devices
Author(s): Jose Mario Gallegos; Jesus Rene Villalobos; Sergio D. Cabrera
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Paper Abstract

This paper presents an overview of the development of vision algorithms for a flexible inspection system. This system is being designed for the inspection of surface mounted devices. The system identifies missing components and quantifies the position and rotation of the components present. Two types of approaches for the identification of missing components are presented and contrasted. The first approach involves conventional image processing techniques that are actually used in an operative prototype that is under test in an industrial environment. The second approach is a study of the use of backpropagation neural networks in as an alternative inspection method for component detection only.

Paper Details

Date Published: 13 October 1994
PDF: 12 pages
Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); doi: 10.1117/12.189089
Show Author Affiliations
Jose Mario Gallegos, Univ. of Texas/El Paso (United States)
Jesus Rene Villalobos, Univ. of Texas/El Paso (United States)
Sergio D. Cabrera, Univ. of Texas/El Paso (United States)


Published in SPIE Proceedings Vol. 2354:
Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision
David P. Casasent, Editor(s)

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