Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB - Karlsruhe Center for Material Signatures KCM
Image processing plays an important role in information acquisition across many fields of technology and everyday life. It is an established technology in areas such as measurement and automation technology, robotics, automotive engineering, and consumer electronics. Key advantages of image processing systems over other sensory principles include the fact that images can be captured without physical contact and that image sensors are now relatively inexpensive. What is particularly exciting about image processing, however, is that the sensor technology largely corresponds to the human primary sense – vision – but is not bound by human limitations. This applies, for example, to the usable spectral ranges, the quantitative interpretability of the images, consistent attention and reproducibility, and the ability to capture highly dynamic processes. Even though image processing – as part of several disciplines, including measurement and automation technology, systems theory, mathematics, computer science, optics, lighting technology, and microsystems technology – has reached a certain level of maturity, there are still exciting new discoveries to be made. On the contrary: image processing in particular benefits enormously from new technologies such as machine learning or new sensor principles like event-based vision.
The FBV/IPF aims to report on current trends and innovative solutions in image processing and to contribute to professional exchange between academia and industry. It has been held every other year since 2010 and is now jointly organized by the Advanced Sensing business unit of the Fraunhofer Institute for Optronics, System Technologies, and Image Processing (IOSB) and the Institute for Industrial Information Technology (IIIT) at the Karlsruhe Institute of Technology (KIT).