Projects and products

Multisensory system for AI-based drone detection and classification with situation visualization.

Solutions and standardization proposals that enable interoperability of unmanned systems and their control stations.

The Common Learning Middleware (CLM) makes it possible to combine different teaching/learning technologies in a common infrastructure.

Complex reconnaissance and surveillance tasks often cannot be solved with stationary sensors alone or with just one mobile sensor carrier (e.g., a drone). If several mobile systems are used simultaneously in a scenario, conventional individual applications quickly reach their limits.

Serious game development is complex, especially when following the ideas of digital game-based learning. It is time-consuming, labor-intensive, and expensive. Communication with professional game developers can be difficult, not only because of the frequent change of personnel.

»ViSAR« is an interactive simulator for the visualisation of geometric SAR effects. The user can generate simple 3D models and combine them to complex scenes. For these scenes radar shadows, layover effects and multiple reflections from different angles of a radar sensor can be calculated and displayed.

"Magneto" will significantly enhance the ability of law enforcement agencies to deal with big data and high data diversity. This will lead to improved crime prevention and more efficient investigation and prosecution of crimes.

A construction kit to create a serious game according to your needs. Depending on your needs, a core game can be extended and adapted to your needs, learning objectives and application domain. Your existing learning content in your learning management systems (LMS) or other learning applications can be easily integrated.

Spot-X is a web-based, gamified quiz game for any learning domain. It is ideal for learning "on demand" and especially for practicing learning objectives. The optional adaptive component adjusts the level of difficulty for each player individually.

It searches for learning content on different platforms simultaneously and tracks down useful learning content based on the meaning of terms. The search results are used to research and create learning courses from existing learning units.