Quantifying the Displacement of Data Matrix Code Modules: A Comparative Study of Different Approximation Approaches for Predictive Maintenance of Drop-on-Demand Printing Systems

Drop-on-demand printing using colloidal or pigmented inks is prone to the clogging of printing nozzles, which can lead to positional deviations and inconsistently printed patterns (e.g., data matrix codes, DMCs). However, if such deviations are detected early, they can be useful for determining the...

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Bibliographic Details
Published in:	Journal of imaging Vol. 9; no. 7; p. 125
Main Authors:	Bischoff, Peter, Carreiro, André V., Schuster, Christiane, Härtling, Thomas
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 21.06.2023 MDPI
Subjects:	Algorithms Approximation theory Clustering code recognition Codes Comparative studies data matrix Data matrix coding Decoding Deviation drop deviation Electronics in printing Inks Maintenance and repair Matrix codes Methods Optimization pattern recognition Predictive maintenance Printers (data processing) Printing Printing machinery and supplies quality assessment Quality control Quality standards Germany code recognition drop deviation data matrix predictive maintenance quality assessment pattern recognition
ISSN:	2313-433X, 2313-433X
Online Access:	Get full text
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