Projects of tomorrow

Together with scientific partners to new ideas.

We run with the times! Forward-looking ideas and projects make the field of research and development particularly exciting for us. Together with partners from scientific institutions and universities, we develop project ideas and start putting them into practice before anyone else. In doing so, we build on sustainable approaches that we can also imagine will have market potential in the future and could be of interest to both business and end customers.

Our research projects are mostly of public interest and are therefore officially financially supported by the EU.

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Expanding horizons


Project EisAuge

Weather-related failures of wind turbines are a serious problem in the field of renewable energies. The rotor blades of wind turbines ice up, which can lead to anything from poor efficiency to failure – financial losses for the operator are just one consequence here.

The EisAuge project has set itself the task of developing a cloud-based ice detection system that uses modern artificial intelligence methods to evaluate RGB/infrared images. The focus here is also on type independence, since providers with similar solution approaches calculate with considerable adaptation efforts for plant type and location for the commissioning of their systems.
The research project aims to develop information-processing services for icing detection as cloud-based software services and to combine them in a standard solution.

The project is being developed jointly with BIBA, an institute affiliated with the University of Bremen, and was funded by the European Regional Development Fund (ERDF).

Project PrintAI

Self-learning software platform for 3D printer farms for individualized series production using the example of shoes.

In this research project, we are developing a novel software platform for the operation of 3D printer farms, which covers the entire printing process including pre- and post-processing. In addition to integrating all the people involved, the main aim is to automatically record and assess product qualities. For this purpose, a self-learning quality control loop based on AI-based processes is being set up, which improves its performance with each printing run by incorporating the printing parameters and the digital models.

Not only will the manufacturing process itself be optimized, but also the adaptation of neutral shoe designs to individual feet, using intelligent algorithms to optimally adapt the outer and inner geometries to the respective 3D foot scan.

The project is being developed jointly with BIBA, an institute affiliated with the University of Bremen, and was funded by the European Regional Development Fund (ERDF).

Projekt Sealing Quality

Project Sealing Quality

Application of soft seals

In the marine and aerospace industries, soft seals are applied by hand to seal bolted joints. The project consortium has set itself the task of computer-controlled evaluation of the quality of these so-called sealings in order to improve and accelerate the overall process – it’s all about increasing efficiency and minimizing errors. Together with BIBA as a scientific partner and an application partner from industry, we are researching and developing a forward-looking system that automates what has been a highly manual process.

Technical challenges in the project

  • Construction and training of neuronal networks for the visual recognition of possible sealings defects
  • Development of a mobile applicator that meets industrial standards in terms of mobility, user-friendliness and runtime
  • Development of dynamic reports and documentation procedures that objectively assess the performance and quality of the sealings and can be used as a basis for management decisions.

The project is developed in cooperation with the BIBA, an institute of the University of Bremen, and is state funded by the BMWi.