• AR learning tools for anatomical education
    © Fraunhofer IGD

    In this project, Fraunhofer IDM@NTU and the Lee Kong Chian School of Medicine (NTU) collaborate to bring the study of anatomy to the next level.

    The goal of this project is to create new interactive and immersive learning experiences for medical students on the study of anatomy using Augmented Reality (AR) on mobile devices.

    more info
  • © Fraunhofer IGD

    3D Arile is a ZIM (Central Innovation Program for SME) funded research project. The core element of the project is the development of a novel augmented reality system using a head mounted display with see-through technology. This, in combination with a stereo near infrared (NIR) camera system and the fluorescent dye  indocyanine green (ICG), should form an intraoperative visualization tool that can be used to visualize and extract sentinel lymph nodes (SLN).

    more info
  • © PlatformUptake.eu

    The PlatformUptake.eu project is a "Coordination and Support Action" funded by the European Union's Horizon 2020 research and innovation program. As such, it aims to analyze and describe the ecosystem of existing open platforms for different user groups and to promote synergies between the respective networks and related projects in the fields of active and healthy aging (AHA) and Internet of Things (IoT).

    more info
  • National Research Center for Applied Cybersecurity ATHENE
    © 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.

    more info
  • © 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.

    more info
  • © 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:

    more info
  • This page is only available in German.

    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.

    more info
  • © 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.

    more info
  • © 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.

    more info
  • Automatic quality control for manufacturing

    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.

    more info