Surface defect detection

We are designing novel deep architectures for visual surface inspection. The developed methods allow specialization for large defect detection such as cracks, as well as smooth deformations on reflective surfaces like dents. The methods are learning-based and are thus robust, run realtime and are applicable to a wide range of real problems. Several of the methods are part of most advances surface inspection commercial systems.