In the manufacturing chain of polymer based products, optical surface inspection plays a major role. In consumer products, the visual impression is an important purchase criterion and surface defects must be detected at an early stage, otherwise functional imperfections can disrupt or interrupt the production, or rejects can lead to unnecessarily high costs. This is especially true for complex shaped 3D parts and product components.
Since surface inspection of 3D components is such an essential part of quality inspection, there are a variety of criteria that automated surface inspection must meet.
The PCCL inspection system for 3D components meets all the requirements of the industrial practice. Additionally, it can be used for different materials such as metals, wood and transparent materials.
In the areas of machine vision, deep learning for image processing and deep reinforcement learning (self-learning robot handling), and the implementation in 3D component inspection systems, the PCCL has developed a unique selling point. In this Webinar, the technology and industrial use cases will be presented.
SHORT AUTHOR BIO
Priv.-Doz. DI Dr.techn. Dieter P. Gruber is Division Manager for “Surface Testing, Robot Vision and Artificial Intelligence” at the Polymer Competence Center Leoben GmbH.
He studied „Technical Physics“ at the Graz University of Technology. He focused on „Computational Physics and Information Technology“ and „Material Physics“, which enabled him to build up knowledge in the fields of material physics, machine vision, data analysis and artificial intelligence.
Winning two Excellence Fellowships in 2001 and 2002 led him to research stays at the Albert Ludwig University Freiburg and at the Fraunhofer Institute for Solar Energy Systems (ISE) also in Freiburg.
Dieter P. Gruber received his doctorate in 2003 and moved to the Polymer Competence Center Leoben (PCCL), Montanuniversität Leoben in the same year.
Dieter P. Gruber habilitated to Associate Professor in 2015 at the Montanuniversiät Leoben. He headed more than 40 cooperative research projects with national and international partners and he is the author of more than 80 publications and 12 patents.
He awarded numerous research prizes such as the Magna ACS Innovation Award, the SFG Fast Forward Award and the Houska Prize.
He was Austrian of the Year 2014 in the category „Scientific Research“.