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Medical Studies

Optimization of the calibration and quality assurance processes of spatially resolved reflection spectrometers using artificial intelligence.

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The aim of the project is an innovative, digitalization-based optimization of the production process, especially the closely related calibration and quality assurance processes, which have a significant influence on the entire production process. Data from specific tests and from the usage phase of the sensors are used to make pass/fail decisions regarding sensor quality more precisely and quickly in the quality assurance process.

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The network partner is the University of Kassel, Department of Intelligent Embedded Systems (IES) / Department 16. The head of the department is Prof. Dr. rer. nat. Bernhard Sick. The IES focuses on data science and AI in technical applications. In the project, the IES contributes the necessary know-how to further develop suitable algorithms for data analysis and modeling using machine learning (ML) and adapt them to the task.

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The project is funded by the state of Hesse.

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