Projects and products

Keeping carbon in the cycle, and thus avoiding plastic waste and emissions: That is the goal of the “Waste4Future” project. Several Fraunhofer institutes and facilities IMWS, IZFP, IWKS, IOSB, FHR, LBF and IVV are pooling their competences to develop an entropy-based assessment model for carbon-containing waste streams and new technologies for sensing, sorting and mechanical and chemical recycling.

The aim of the DRUM project is to create tools that provide support for drone teams and the operational management of BOS in the security monitoring of mass events. The main task is to automate the evaluation of sensor data and to create a means of transmitting and clearly visualizing the results, enabling the incident command team to quickly and easily assess the situation, identify dangerous situations and locate relevant events.

The TRM4 Batch Module is a customized solution that we offer our customers for performing TRM4 calculations in batch. Here, customers define which set of TRM4 input parameters they want to change and which output parameters they want to access. In return, we provide a C programming interface for TRM4 that can be integrated into third-party software with a compatible C interface (e.g. Python, Matlab) to perform TRM4 calculations in batch for the defined input and output parameters.

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.

A data fusion toolkit will support the security communities operating at sea by improving the information exchange and processing.

The VIGIMARE project aims to improve cooperation and information sharing between critical infrastructure operators, EU Member States and public authorities to optimize the response to threats to EU critical underwater infrastructure.

The aim of the IDEAL project was to determine the need for and create tools and procedures that provide support for authorities and organizations with security tasks (BOS) in situational awareness and updating through automated live evaluation of drone data.

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.

In order to be better protected from enemy attacks, the camouflage of soldiers and vehicles is to be improved in the ACROSS project.

The Industrial Security Testing Framework "ISuTest" is a tool for finding weak points in the implementation of automation components. Discovered weak points can be corrected by the manufacturer and thus reduce the component's vulnerability. In the future, robustness against attacks will be a quality criterion with which manufacturers can distinguish themselves from others.

The internally funded project is aimed at developing a software-based system for defining dynamic safety zones. This should make it possible to fulfill functional safety requirements in modular, dynamically changing production environments in a way that saves time and money.

In SALSA, research is focused on vehicle interiors for cars and trucks. These should be adaptable to a wide range of driving situations, including allowing relaxed sleeping, but also safe takeover of the driving task and intuitive use of driver assistance and automated driving functions.

Until now, only a small proportion of plastic is recycled to be reused as a secondary raw material. The K3I-Cycling project aims to increase the use of recyclates with the help of artificial intelligence (AI) and paves the way to a sustainable circular economy.

The Fraunhofer Academy's “Cybersecurity Training Lab” is a collaboration between the Fraunhofer-Gesellschaft and selected universities of applied sciences. Specialists and managers from industry and public administration receive a compact qualification in high-quality laboratories with up-to-date IT infrastructure.

Innovative assistance systems and services support vehicle automation.

In the project "ASARob" an error-free attention detection and guidance system is to be implemented, which extends the interaction possibilities between humans and robots.

This interactive tool supports the image evaluator in the recognition of objects by enabling him to describe the object to be evaluated on the basis of the object features recognized in the image, thus leading him to a recognition decision.

Fast and intuitive quality assurance on bumpers thanks to innovative error marking by pointing gestures.

IRPose provides marker-based localization and pose estimation of objects or tools in real-time.

KonsensOP is an assistive system that monitors the operating theatre and offers support in case of deviations from the routine.

The method of gaze-based interaction supports work tasks that an Image Exploitation Officer has to perform during imaging reconnaissance.

The ED/OM project is a joint industrial project in which several industrial partners cooperate with Fraunhofer IOSB to work on the same or similar objectives and to scientifically address congruent issues of future driver monitoring systems.

Multi-camera person tracking in the Elbedome in Magdeburg, a mixed reality lab for displaying interactive visualisations.

“Drag&Sense” makes it possible to compile interaction systems for production and logistics from common components. Thanks to the component library, standardized interfaces and intuitive usability, systems for human-machine interaction can thus be implemented many times faster and more cost-effectively than before.

Catena-X aims to create an open data ecosystem for the automotive industry. The exchange of data helps to optimize the value chain and make it more sustainable and resilient. Fraunhofer IOSB played a key role in shaping the production-related topics in this large collaborative project.

OnkoLeit supports the treating physician in diagnosis and therapy decisions in the case of oncological diseases.

Personalized and cost-optimized medical care based on a digital patient model.

Camera-based driver observation supports the interaction between driver and automated vehicle.

The detection and classification of hazardous situations in air traffic with UAS is a complex task requiring a high degree of automation in view of the sharp increase.

Karlsruhe and its surroundings are becoming a test field for autonomous vehicles.