Projects and products

The RICE project was launched as part of the technology development program to develop tools that can collect plant data in a minimally invasive manner and actively intervene in processes. The long-term goal is to improve the efficiency of industrial manufacturing systems.

The topic of the "Wolverine" project is data integration and evaluation for medical applications.

RoboShield deals with automation technologies in human-robot collaboration. Artificial intelligence and machine learning are used to verify safety. New development processes for modules, systems and applications are being researched that ensure the safety of the resulting production facility ("Safety by Design"). A method kit with different verification techniques will enable the verification of third-party automation components.

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

Camera-based people tracking on the video wall in the Porsche Museum in Stuttgart.

“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.

The aim of the fully automated immun chip is to predict the immune response to a drug or chemical of up to 100 individuals at the same time.

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.

The INITIATIVE project aims to develop AI-based adaptive communication for the integration of automated vehicles in mixed traffic scenarios.

Modern harvesting machines are complex systems that can be configured in many different ways. For example, countless individual parameters can be set by adjusting the sieves, threshing drum speed, vehicle speed, fan power and much more. The BMBF project AGATA is investigating how an optimal configuration can be found here to make the machines as efficient as possible for each field.

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

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.

In recent years, several laser-based concepts for orbit modification have been proposed, including the use of pulsed lasers with high energy to perform orbit modification through laser ablation and high-power, continuous-wave lasers for debris nudging by photon pressure. In the ESA-funded project "ADAMO", Fraunhofer IOSB, Fraunhofer IOF, and HEIG-VD will develop demonstrator(s) for adaptive optics (AO) technologies, which are necessary to efficiently pre-compensate high-energy lasers in order to make laser momentum transfer (LMT) effective in LEO. The project's key objectives are to design an AO system capable of compensating for the quickly changing wavefront distortions induced by atmospheric turbulence and telescope slew. The future system will utilise a laser guide star for high-order aberrations and sunlight reflected from debris for low-order aberrations (tip/tilt).

"Crayons" is an authoring and learning environment for the creation of learning software. With it, learning content with videos, audios, interactive animations, tasks, questionnaires, texts and formulas can be provided on the Internet.

AI-supported recording and forecasting of biodiversity and water quality in drinking water reservoirs.

The aim is to research and apply methods for anonymizing camera-based data collected inside the vehicle.

Um die Erkenntnisse der Punktmessung auf ein größeres Einsatzgebiet zu interpolieren sind Wettermodelle (NWP) notwendig. Dabei werden die Messungen als Validierung der Modellsimulationen genutzt. Am Fraunhofer IOSB werden drei Modelle betrieben.

Due to its characteristic wavelength, the signal is scattered by aerosol particles and cloud droplets as it passes through the atmosphere. Part of the backscattered infrared signal is received by the Doppler lidar detector and converted by an optical superposition process ("heterodyne principle") into a measurable high-frequency signal from which the backscatter intensity and frequency change are determined.

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

The GDS is a Fraunhofer IOSB implementation for managing OPC UA applications and their certificate management.

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.

OpenCitySense is an expandable framework for municipalities and operators of urban data platforms. With the OGC standard SensorThingsAPI of the FROST® server for time- and location-related data, sensor landscapes can be set up in a structured manner. OpenCitySense expands the server to include sensor and data monitoring and lifecycle management of sensors, from initial setup to the operational phase and uninstallation.

“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.

Research for the mobility of tomorrow. The aim is to make the interaction between humans and AI adaptive, explainable and safe - especially in situations with shared control between driver and vehicle.

The deflectometric measurement method uses specular reflection: mirror images of known patterns in the surface and their deformations are observed to automate the quality inspection of painted car body parts, for example.

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

To prevent motion sickness in automated vehicles, the KARLI project has developed an AI-based system that detects activities associated with motion sickness and enables countermeasures to be taken using interior cameras and real-time 3D position detection.

Our Advanced Occupant Monitoring System detects the driver and all occupants of a vehicle to distinguish between different activities and detect critical situations.

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.