A self-optimizing 4.0 production environment places high demands on the sensors for quality monitoring. What is needed are versatile, multifunctional optical sensors, which are particularly suitable for inline 100% production monitoring due to their high measuring speed.
In this project, a multifunctional chromatic measuring principle is pursued, which allows both confocal and texture-based 3D measurements. Depending on the test task, different measuring principles are used, which are implemented in highly integrated optics. As a central innovation, a self-optimizing, adaptive measuring method is proposed. State-of-the-art 3D measuring methods scan the entire measuring range with high resolution to solve a test task. By contrast, adaptive signal processing pursues a coarse-to-fine strategy, in which the measurement and is conducted more and more precisely in an iterative process. This effectively scans only at interesting and information-bearing locations with high resolution. This novel approach promises significantly higher measuring speeds.
Figure 1 Schematic.
|Compressive shape from focus based on a linear measurement model||Luo, D.; Längle, T.; Beyerer, J.||tm-Technisches Messen 84 no. 7-8, pp. 452--459, De Gruyter Oldenbourg, 2017.|
|Programmable light source based on an echellogram of a supercontinuum laser||Luo, D.; Taphanel, M.; Längle, T.; Beyerer, J.||Applied Optics 56 no. 8, pp. 2155-3165, OSA, 2017.|
|Compressive shape from focus based on a linear measurement model||Luo, D.; Längle, T.; Beyerer, J.||Forum Bildverarbeitung 2016, pp. 185-195, 2016.|
|Optical unmixing using programmable spectral source based on DMD||Luo, D.; Bauer, S.; Taphanel, M.; Längle, T.; León, F. P.; Beyerer, J.||Proceedings of SPIE Next-Generation Spec, pp. 98550P-98550P-9, SPIE, 2016.|
|Capturing Ground Truth Super-Resolution Data||Qu, C.; Luo, D.; Monari, E.; Schuchert, T.; Beyerer, J.||Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP), IEEE, 2016.|