Projects and Products

"ABUL" is an interoperable video evaluation system with integrated real-time and offline procedures and various visualisation components to support the evaluator.

"S²UCRE" is a project of the Federal Ministry of Education and Research (BMBF). The aim of this project is to improve security in urban environments through crowd monitoring, prediction and decision support.

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.

PrognoSF aims to accurately predict local flash floods by analyzing all available data sources with AI-based algorithms.

Economic efficiency, sustainability, ecology and individuality: Intermodal mobility - the use of different modes of transport on one route - has great potential. But the complexity must remain manageable. In other words: Getting to your destination intermodally, for example with a combination of (rental) bike, public transport and e-scooter, must be as easy and pleasant as reaching for your own car key.

In any operation conducted by emergency services such as firefighters, police, or rescue services, the first steps are situation reconnaissance and risk assessment. Drones that transmit live video to the ground control station, can offer a great advantage, especially in complex incidents that are spread over large areas.

For the “Intelligent Video Surveillance“ project, Fraunhofer IOSB's VID department is developing a system that can detect possible crimes based on movement patterns and alert police officers in the command and situation center. Facial recognition is not part of the solution approach.

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

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

“AutoInspect” is a system for continuous object assessment (in real time) by multimodal inspection along the production cycle. Both a direct reaction to the results and their long-term observation are possible. The system is supported by a digital quality twin with open I4.0 standards.