While it had only been possible until now to examine shiny surfaces for defects by deflectometry, the new structured light projection method performs this task for matt objects, so increasing the range of products that recognize defects on surfaces. INB Vision AG, of Magdeburg, which has been part of Micro-Epsilon since the end of 2010, has this expertise.
With two or more cameras and a projector, the solutions developed by INB can detect areas from as little as a few cm² up to approx. 1 m² as 3D point clouds. INB has extensive experience in the configuration of sensors, as well as all the necessary software modules for calculating the 3D data. These sensors are suitable for all surfaces that diffusely reflect at least a portion of the light. These include steel, aluminum, plastics, or ceramics, for example.
One important core competence is the evaluation of 3D data using artificial neural networks. A special associative memory has been developed for this, trained with satisfactory, error-free components. On the basis of this data, the software is able to safely detect and objectively assess any deviations from error-free components, deviations which are much smaller than the geometric tolerances of components are.
In addition, INB has developed a "digital whetstone", analogous to the whetstones commonly used in the automobile industry, which is able to find sink marks and to assess them dimensionally.