Projects and products

A project of the same name aims to harness our experience across a whole host of AI application domains to realize MLOps with maximum effectiveness and automate it as far as possible. To that end a software suite was developed that incorporates a wide range of tools for creating machine learning applications and training the ML models.

Reconnaissance and surveillance in civil and military environments often involve the use of different systems, which are subordinate to different areas of responsibility. In multinational operations, data exchange must also be possible between different nations with different authorizations. Security and data protection regulations must be observed.

The "Coalition Shared Data (CSD)" project describes a data server that enables data sharing in the civil and military context.

The interactive Java- and XML-based software "Interactive ISR Exploitation Report" is used to create and edit formalised deployment results reports. It was developed for military reconnaissance and surveillance processes, but is also suitable for use in civil environments.

Korruption verursacht erheblichen Schaden, aber ihre Bewältigung und Eindämmung sind schwierig. Im Horizon-Europe-Projekt »FALCON« arbeiten 25 Partner aus 15 Ländern gemeinsam an einem interdisziplinären, evidenzbasierten und datengesteuerten Ansatz, um Korruption und organisierte Kriminalitätsnetzwerke zu bekämpfen.

The HUGIN project set itself the goal of researching and improving the collaboration and cooperation of intelligent, autonomous watercraft. Algorithms and technologies from a wide range of areas, such as artificial intelligence, data analysis and control technology, were integrated in such a way that the overall demonstrator, consisting of several vehicles, was able to plan missions independently in various scenarios and execute them in a resource-optimized manner.

The networked maritime surveillance and reconnaissance mission of the future is the focus of the European joint research project OCEAN2020. The goal is to generate a comprehensive maritime situation picture based on established as well as new technologies. Fraunhofer IOSB is contributing its expertise in the field of underwater drones and maritime situation analysis.

Fraunhofer IOSB has developed an autonomous surface vehicle that autonomously takes measurements above and below the water to generate associated 3D maps.

The aim of the project is to make the operation of drones safer - by connecting U-Space to data sources on relevant hazard information, including monitoring drone statuses, AI-based decision support and communication concepts.

ArGUS detects unmanned flight systems and generates deployment proposals for legally secured countermeasures.

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.