Projects and products

Why does an algorithm evaluate a position as good or bad? Military vocational training lacks the bridge between abstract simulation and practical field experience. The “MilitAR Sandbox” makes tactical evaluation criteria tangible: users shape sand, algorithms project their analysis back in real time.

Images are a fundamental tool for our understanding of the world both at microscopic and macroscopic length scales. The simplest way to acquire an image is to analyze light through spatially resolved intensity measurements, e.g., on a camera, but this approach is limited by diffraction. The development of imaging techniques that beat the diffraction limit is known as super-resolution.

The Potential pilot AI is a compact, modular solution that offers medium-sized companies a cost-effective way to evaluate the potential of AI processes in their production processes.

The bi0SpaCE project is developing an open software framework for creating dynamic digital product passports (DPPs) in the form of digital twins in the Industrie 4.0 standard (Asset Administration Shell, VS) for bio-based products. It promotes secure, sovereign data exchange in international data spaces and supports the creation of efficient solutions in the circular economy to increase the sustainability and competitiveness of European bio-based industries.

The AktiMeter is an innovative product developed for the automatic recording of human movements, gestures, postures, activities, and interactions with objects in the vehicle interior.

Significant costs in the operation of wind turbines (WTG) are incurred through maintenance and repair. Downtimes caused by such work must be minimized, but failures due to damage not recognized in time must also be avoided.

Das Projekt CC-King hat sich zum Ziel gesetzt, KI-Spitzenforschung mit etablierten Ingenieurdisziplinen zu verbinden. Hierdurch sollen KI-Methoden und maschinelle Lernverfahren (ML) entsprechend den typischen Anforderungen und Vorgehensweisen von Ingenieuren nutzbar gemacht werden.

In order to keep the total operating costs of wind turbines (WTGs) competitive, the risk of failure must be minimized, maintenance costs reduced, and system availability and energy efficiency increased. This goal is achieved by introducing the most efficient, automated multi-sensory online monitoring and diagnostic systems - so-called Condition Monitoring Systems (CMS) - whose economic importance is increasingly recognized by wind farm operators, manufacturers and insurers.

Determining the degree of freshness and ripeness of fruits and vegetables with the help of various sensors and artificial intelligence opens up new possibilities for the anticipatory handling of food.

The W-Net 4.0 project aims to develop a modular and scalable platform that combines GIS system, simulation software and data analysis tools and meets high IT security standards. Combined with novel service concepts, value-added networks and training concepts, small and medium-sized water supply companies will be enabled to use these technologies for the first time. For large utilities, novel and easy-to-use data analysis and optimization tools as well as corresponding service concepts will be made available.