Description

In industrial quality assurance, machine learning applications for automatic damage or defect detection reach their limits if not enough suitable training data is available. Within the Fraunhofer Research Center for Machine Learning, the Fraunhofer IAIS team develops deep learning systems which can be used without large amounts of training data by integrating domain-specific expert knowledge – e.g. for automatic detection of hail damage on cars or damages on even surfaces in industry.