• © ATHENE

    The National Research Center for Applied Cybersecurity ATHENE (formerly CRISP) is a research center of the Fraunhofer-Gesellschaft with the participation of the Fraunhofer Institutes SIT and IGD as well as the universities Technische Universität Darmstadt and Darmstadt University of Applied Sciences. In a unique and innovative cooperation model of university and extra-university research, ATHENE conducts cutting-edge research for the benefit of business, society and government and strives for academic leadership in science.

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  • © Fraunhofer IGD

    AR glasses overlay the position of the lymph node as a virtual mark.

    When preparing and planning an operation, doctors need to study a patient’s available medical imaging data, such as CT scans or MRIs, very closely. In the operating room, the challenge is then to apply the plan created previously from studying the imaging data to the operating situation and, thus, to the patient. What makes this difficult is the three-dimensional imaging data is typically shown using individual section planes. Doctors must use their extensive knowledge of anatomy to apply this information to the situation in the OR.

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  • © Merck KGaA / Fraunhofer IGD

    Camera based Interaction for intuitive User Interfaces via 3D Tracking Technology

    The use of Augmented Reality for industrial application is more and more established. With our “Augmented Reality Manual” we are demonstrating our advanced and markerless 3D tracking technology at Spectroquant® Prove 600, the novel spectrophotometer from Merck KGaA:

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    Für die Wartung von Flugzeugen benötigt der Service-Techniker eine Vielzahl von Unterlagen, die zudem immer auf dem neuesten Stand sein müssen. Die herkömmlichen Handbücher und Checklisten werden durch einen Tablet Computer mit der Augmented Reality-Applikation vom Fraunhofer IGD ersetzt. Die Applikation liefert, passend zu dem aktuellen Arbeitsschritt, alle relevanten Informationen, die räumlich verortet an den einzelnen Bauteilen und Komponenten dargestellt werden.

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  • © Fraunhofer IGD

    In adapting and advancing state-of-the-art medical image processing methods and their use in current clinical problems, model-based approaches and the integration of machine learning and artificial intelligence (AI) methods are playing a growing role alongside classical image processing. Numerous problems can only be solved with the help of additional prior knowledge - similar to doctors whose medical knowledge helps them interpret imaging data. We take the knowledge generated from training data and integrate it into models with which imaging data can then be analyzed automatically.

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  • © Fraunhofer IGD

    Working with ultrasound imaging data has a long tradition at Fraunhofer IGD. Back in 1994, Georgios Sakas developed the first 3D ultrasound imaging applications here. In 1997, Dr. Sakas founded the Fraunhofer spinoff MedCom, which has since been busy successfully processing and analyzing ultrasound imaging data. During this time, research and application-related projects with ultrasound imaging data were continuously pursued at Fraunhofer IGD.

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  • Fraunhofer IDM@NTU develops image processing solutions for the industry. The software developed at the centre is able to automatically detect manufacturing flaws in components like electrical circuits using images of the components. The images can be taken by a standard camera, an x-ray machine or other imaging devices. The software then detects the component in each image and compares it to one or multiple reference images of the component. Deviations like cracks or other imperfections are detected fast and reliably.

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  • © Fraunhofer IGD

    The autonomous robot rollator RoRo is used for support in hospitals or nursing homes to analyze the walking behavior of the users after a hip or knee surgery. RoRo helps to train them individually and provides certain walk exercises. In addition, the autonomous robot rollator will pick up the patients independently for hospital-internal appointments, such as X-rays, physiotherapy, etc. and provide accompanying and navigation support, so that also the nurses are relieved.

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  • Nowadays, before industrial robots can effectively be used in production environments, the robots undergo a time-consuming teach-in process. As a consequence, repeatedly conceptualizing the three-dimensional movement options for a robot, mapped in the form of a coordinate system, and programming the movement paths represents an extremely complex task and restricts the flexibility.

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  • The joint project BAAL (www.baal.aal-mv.de) aims at developing a modular, flexible and scalable system for further training in ambient assisted living (AAL). On the one hand professional and academic trainings are to be developed which meet the requirements of different target groups. On the other hand communication and networking opportunities between the different professional groups involved are to be created.

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