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Proceedings Paper

High-performance camera module for fast quality inspection in industrial printing applications
Author(s): Johannes Fürtler; Ernst Bodenstorfer; Konrad J. Mayer; Jörg Brodersen; Dorothea Heiss; Harald Penz; Christian Eckel; Klaus Gravogl; Herbert Nachtnebel
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Paper Abstract

Today, printing products which must meet highest quality standards, e.g., banknotes, stamps, or vouchers, are automatically checked by optical inspection systems. Typically, the examination of fine details of the print or security features demands images taken from various perspectives, with different spectral sensitivity (visible, infrared, ultraviolet), and with high resolution. Consequently, the inspection system is equipped with several cameras and has to cope with an enormous data rate to be processed in real-time. Hence, it is desirable to move image processing tasks into the camera to reduce the amount of data which has to be transferred to the (central) image processing system. The idea is to transfer relevant information only, i.e., features of the image instead of the raw image data from the sensor. These features are then further processed. In this paper a color line-scan camera for line rates up to 100 kHz is presented. The camera is based on a commercial CMOS (complementary metal oxide semiconductor) area image sensor and a field programmable gate array (FPGA). It implements extraction of image features which are well suited to detect print flaws like blotches of ink, color smears, splashes, spots and scratches. The camera design and several image processing methods implemented on the FPGA are described, including flat field correction, compensation of geometric distortions, color transformation, as well as decimation and neighborhood operations.

Paper Details

Date Published: 17 February 2007
PDF: 12 pages
Proc. SPIE 6503, Machine Vision Applications in Industrial Inspection XV, 65030J (17 February 2007); doi: 10.1117/12.704542
Show Author Affiliations
Johannes Fürtler, Austrian Research Ctrs. GmbH (Austria)
Ernst Bodenstorfer, Austrian Research Ctrs. GmbH (Austria)
Konrad J. Mayer, Austrian Research Ctrs. GmbH (Austria)
Jörg Brodersen, Austrian Research Ctrs. GmbH (Austria)
Dorothea Heiss, Austrian Research Ctrs. GmbH (Austria)
Harald Penz, Austrian Research Ctrs. GmbH (Austria)
Christian Eckel, Oregano Systems Design & Consulting GmbH (Austria)
Klaus Gravogl, Oregano Systems Design & Consulting GmbH (Austria)
Herbert Nachtnebel, Vienna Univ. of Technology (Austria)

Published in SPIE Proceedings Vol. 6503:
Machine Vision Applications in Industrial Inspection XV
Fabrice Meriaudeau; Kurt S. Niel, Editor(s)

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