Articles | Volume 11, issue 2
J. Sens. Sens. Syst., 11, 277–285, 2022
https://doi.org/10.5194/jsss-11-277-2022
J. Sens. Sens. Syst., 11, 277–285, 2022
https://doi.org/10.5194/jsss-11-277-2022
Regular research article
16 Sep 2022
Regular research article | 16 Sep 2022

En route to automated maintenance of industrial printing systems: digital quantification of print-quality factors based on induced printing failure

Peter Bischoff et al.

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Short summary
Tracking individual parts in manufacturing processes helps to lower production cost by assigning a full record of production steps to each part, and therefore enabling targeted quality control. A novel approach is presented, which shows that the printing quality can be monitored using images of the printed result only. Analysing data from long-term tests shows which characteristics of the part marking are suitable to be used as indicators for maintenance needs.