Control 2025

Fair, Stuttgart / May 06, 2025 - May 09, 2025

Control – International Trade Fair for Quality Assurance

Webseite Control 2025

Hall 7 - at the joint booth of Fraunhofer Vision Number: 7301

As a specialist event, Control offers a platform that highlights all relevant aspects of industrial quality assurance and at the same time presents the current global range of usable technologies, processes, products and system solutions.

We are on site at the joint Fraunhofer Vision booth with experts from the »Materials Characterization and Testing« and »Image Processing« departments and present the main topics of »Inline Surface Inspection Systems and Virtual Inspection Planning« and »Non-destructive and Non-contact Layer Thickness Measurement«.

Our Contributions

Das zu prüfende Rohr wird inline an vier wählbaren Positionen auf die Wandstärke untersucht. — © Fraunhofer ITWM
The pipe to be tested is inspected inline for wall thickness at four selectable positions.

Department »Materials Characterization and Testing«

Layer Thickness Measurement

In many industrial applications, the precise measurement of coating thicknesses on metal and plastic is crucial for product quality. In order to meet the different requirements, we offer a variety of optical measurement techniques that work in a non-contact and non-destructive manner. These include interferometric sensors, chromatic sensors and optical short coherence tomography (OCT).

With these technologies, important key figures such as diameter, wall thickness and layer structure can be determined in real time. Our newly developed inline measuring system enables immediate inspection of the pipe wall thickness directly after extrusion, which optimizes the quality and efficiency of production. The intuitive user interface and the customized interface to the system control guarantee optimal integration into the production process.

Department »Image Processing«

Inline Quality Control for Production

The focus is on the development of efficient, image-based complete solutions for automated quality control and quality assurance in production. Mathematical methods and algorithms are used for image analysis and processing. The systems offer individual solutions that replicate existing quality controls in the company. In addition to classic image processing algorithms for surface inspection, machine learning methods and hybrid systems are also used, which are particularly suitable for diverse product portfolios. In addition, feasibility studies are carried out, the necessary hardware is defined, system software and graphical user interfaces are developed and the system is optimized up to project acceptance.

In the »Re(Pro)³« project, we combine condition monitoring and predictive maintenance with automated quality monitoring in order to detect errors in production at an early stage and reduce reject rates. By integrating image processing methods and condition monitoring, we are creating a system that analyzes changes in product quality over time and identifies maintenance requirements in good time.