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Frank Seiferth, seioTec GmbH

Portrait photo
Frank Seiferth, Managing Director seioTec GmbH. Photograph: Christopher Schmid.

”In our solution-oriented collaboration with IMMS, we were able to benefit in particular from the expertise of IMMS employees in sensor and embedded systems technology.“

”seioTec is a young Thuringian high-tech company that offers industrial IoT and edge solutions. AI is increasingly being used here. The central challenge of many data-driven and AI-based applications in industry is the acquisition and near-real-time processing of sensor and process data. High-frequency vibration and ultrasonic data offer great potential for various applications, but present major hurdles in terms of device technology implementation.

The InSignA Innovation Hub (iHUB) was therefore an ideal opportunity for seioTec to look for innovative solutions to this problem together with its research and development partner IMMS. The jointly developed system architecture and implementation was developed into a proof-of-concept measurement solution, which will now be further tested in various scenarios in collaboration with our customers.

In our solution-oriented collaboration with IMMS, we were able to benefit in particular from the expertise of IMMS employees in sensor and embedded systems technology. I look forward to further collaborations with IMMS in the future, which will help us to develop new technology for our products and services and create new marketable solutions.“

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Contact

Dr.-Ing. Tino Hutschenreuther

Head of System Design

tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40

Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.

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