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Proceedings Paper

Automatic inspection of loaded PCBs using 3D range data
Author(s): Adrian Hilton; Andrew J. Stoddart; John Illingworth; Terry Windeatt
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Paper Abstract

Inspection of loaded printed circuit boards (PCBs) using 3D laser striping range data is described. The work presented here is intended to assess the feasibility of using 3D depth data for robust identification of PCB defects. A knowledge-based control system interrogates a 2D CAD database for PCB layout information. Test strategies are then implemented with efficient multiresolution data capture. Inspection algorithms use 3D scene models to detect and interpret faults. This paper describes the implementation of the 3D range scanner, inspection tasks, control system, and 3D scene modeling. Surface-based approaches for the inspection of 3D shape characteristics have been used extensively throughout this work. This approach utilizes the inherent 3D shape characteristics of depth data. Surface segmentation algorithms are used for the implementation of board registration, testing of components, and coplanarity of ICs.

Paper Details

Date Published: 11 March 1994
PDF: 12 pages
Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); doi: 10.1117/12.171212
Show Author Affiliations
Adrian Hilton, Univ. of Surrey (United Kingdom)
Andrew J. Stoddart, Univ. of Surrey (United Kingdom)
John Illingworth, Univ. of Surrey (United Kingdom)
Terry Windeatt, Univ. of Surrey (United Kingdom)


Published in SPIE Proceedings Vol. 2183:
Machine Vision Applications in Industrial Inspection II
Benjamin M. Dawson; Stephen S. Wilson; Frederick Y. Wu, Editor(s)

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