Fraunhofer Institute for Solar Energy Systems ISE
Our work in the "AI and Data management" Research Topic is divided into the fields of data science and data engineering. In the field of data science, we develop artificial intelligence models for the quality inspection of workpieces and production processes along the PV value chain. We integrate our expertise in AI and solar cell physics in equal measure to develop fast, robust and interpretable AI models based on our extensive measurement technology portfolio.
We develop the latest AI methods for our partners in measurement technology and software development as well as solar cell production, such as (a) computer vision models for classifying and segmenting defects and objects in 2D and 3D, (b) methods of theory-based data analysis and semantic data compression for analyzing and efficiently storing high-dimensional data in the form of a digital twin and (c) generative models for developing accelerated and high-resolution measurement processes, e.g. for high-throughput production.
In the field of data engineering, we develop metadata models, interfaces and software systems for monitoring complex production processes, for the automated acquisition and structuring of data and their provision in modern database networks and test the concepts and systems in the laboratory at Fraunhofer ISE. Current technologies and concepts of software development are used, such as micro-service architectures, container concepts, virtualization platforms and DevOps strategies.
The data science and data engineering competencies originate from PV cell production, but are technology-independent and can therefore be used in a variety of application fields.
