What is Artificial Intelligence in Optical Metrology?

Artificial Intelligence (AI) is any technique that enables computers to mimic human intelligence by means of logic and machine learning. In the case of optical metrology, automation options have already become indispensable, helping to meet the increasing demand for automation and error minimization in manufacturing. In addition to enhancements in hardware, for example with Collaborative Robots that serve as Pick & Place solutions for automatic placement, measurement and sorting, there are also various software solutions based on AI. For example, they are useful for classification and segmentation of ok/not ok components.Automatic detection of ok/not ok components

The process for automatic classification and segmentation is based on intelligent, self-learning algorithms that serve to segment and classify by characterizing and analyzing components. Surface parameters for component evaluation are automatically derived and evaluated. This evaluation is based on a combination of 2 D texture data and 3 D topography data, which are analyzed during the inspection process. By means of an artificial intelligence training software a classifier is trained based on negative as well as positive examples, which then enable the automatic detection of ok/not ok components.

Some field-proven examples for the use of AI are the analysis of grain distribution on grinding tools or the evaluation of sandblasted or laser-treated components. Another example from, e.g., the aircraft industry, is the evaluation of shot peening processes.