PRC technology featured in Springer journal

We are pleased to announce that our research article "Optical Inspection of Welding Seams" is published in the Springer series Communications in Computer Science and Information Science, Vol. 68, pages 269 - 282, 2010.

Abstract

We present a framework for automatic inspection of welding seams based on specular reflections. To this end, we make use of a feature set – called specularity features (SPECs) – that describes statistical properties of specular reflections. For the classification we use a one-class support-vector approach. We show that the SPECs significantly outperform other approaches since they capture more complex characteristics and dependencies of shape and geometry. We obtain an error rate of 3.8%, which corresponds to the level of human performance.