Abstract
According to the publication "New education strategy in quality measurement technique with image processing technologies" presented on the 14<sup>th</sup> Joint International IMEKO TC1+TC7+TC13 Symposium, in this paper further issues were discussed. So the theory of quality charts especially with the use of data sets generated with camera sensors are enlarged in this publication. Furthermore an additional application, developed in the department Quality assurance and Industrial Image Processing was added to this issue. The main focus of this paper lays on the realization, how to combine image processing with classical quality assurance methods. To gain the importance of this trial two industrial applications were used to describe the problem. Mostly the technical realization of sensor systems and data processing is completely separated to quality inspection tasks. To close this gap special trainings as well as special parts in the lectures were developed and structured. In sum it ends to one deepening direction, Opto Techniques in the consecutive Master - Bachelor program Optronic on the Ilmenau University of Technology.
Highlights
The stability of the production process and whose control technologies, is one of the major topics for the quality of the product
An additional application, developed in the department Quality assurance and Industrial Image Processing was added to this issue
Industrial image processing in combination with quality assurance is a powerful method to monitor the quality of industrial processes
Summary
The stability of the production process and whose control technologies, is one of the major topics for the quality of the product. In the new publication quality management for engineers (Qualitätsmanagement für Ingenieure) a separate chapter for image processing was added in this new publication [3]. There actual there is a big database and experiences in both research areas, in image processing as well as in quality management. At the end of the paper a strategy was presented which outlines how a teaching model can be, and how it was applied in the department of quality assurance and industrial image processing [3]
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