3D printing is an increasingly important manufacturing procedure for the production of prototypes, products, and replicas. The growing function scope of 3D printers, which includes a wider range of suitable print material, is accompanied by growing requirements for the control software used. Due to the immense amount of data, among other reasons, the accurate positioning of the material in order to reflect both geometrical and visual properties correctly represents a challenge.
more info Though 3D scanning comprises various procedures and technologies, it generally refers to the process of capturing data and converting these measurements into a 3D model. 3D scanning has been used in the manufacturing, healthcare, architecture, construction, culture and creative industries, as well as in the scientific field, for many years now. The 3D data gained serves quality, assurance, reconstruction, or surface reconstruction purposes. It is also used for digital documentation, presentation, and preservation of cultural assets.
more info Massive amounts of data are a challenge for virtually all industries and public authorities. While the options to collect data have become more and more efficient, the evaluation of data is greatly complicated by high data volumes and great dynamics with heterogeneous data formats.
more info Biometrics enables the recognition of humans by machines. We use distinct characteristics that are unique for a person to perform identification. Some of the more common biometric methods include fingerprint, iris and facial recognition that are increasingly used in our everyday devices. The methods used can be easily transferred to the identification of objects in images, based on distinct characteristics. Multi-biometric methods recognize and combine multiple physiological traits. The combination of e.g.
more infoIn the coming years, the growing need for storage and processing capacity will propel the demand for cloud-capable solutions. In this area, Fraunhofer IGD fills a gap and sets new standards for the high-performance storage of objects with semantics and spatial reference in a cloud-based data repository. The costs incurred by the customer are reduced by using the cloud instead of on-site hardware and reducing maintenance overhead. Other benefits of this intelligent solution include a significant performance boost and enhanced user experience.
more info Digital assistance aims at supporting the human being in all possible situations of everyday life via intelligent and adaptive technologies. Tasks in the professional as well as the private field can thus be fulfilled more easily and purposefully. Fraunhofer IGD applies technologies of visual information assistance in networked and mobile applications. Within this framework research activities focus on assistance in the field of production as well as the health sector in order to increase the ability to make reliable decisions during work processes.
more info Advanced Driver Assistance Systems (ADAS), with such uses as detecting pedestrians or visualizing the safe distance to the vehicle in front, are developed and researched in the automotive industry. Here, different sensors (GPS, ADAS camera, gyro, CAN data, etc.) are merged and evaluated.
In this context, Fraunhofer IGD develops algorithms based on computer vision and machine learning by means of which it is possible to capture the vehicle’s environment in order to detect cyclists or other traffic obstructions.
more info The geometry processing pipeline covers applications from modeling3D digital objects, also aided by sketch-based techniques, to meshing 3D digital objects for simulations, where research is increasingly enhancing the 3D models with semantics.
more info Information visualization designates the ideal representation of data and information with the goal of assisting a human user in his tasks. With the expertise and active research of Fraunhofer IGD in the field of information visualization, novel solutions can be tailored directly to the data and tasks of our customers.
more info Numerical simulation is an integral part in the product development cycle. Stability analysis is conducted by computing the stress distribution with specified load cases. In case of critical stress peaks, the geometry must be changed locally. This iterative process of geometric design, simulation and analysis is usually carried out with a number of different CAx tools. This process is time intensive as there are not only long execution times for the simulation, but also a need for manually converting data between the tools. Efficiently optimizing different shapes and testing them w.r.t. stability is therefore difficult to accomplish.
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