A Framework for Inline Quality Inspection of Mechanical Components in an Industrial Production

Automated quality inspection of components in industrial production environments is one of the main requirements to achieve current productivity and quality goals. Since conventional inspection systems have only partially met these requirements, and research projects in the industry have hardly been practicable in this area, MIBA AG has developed a quality inspection framework of its high-quality components to achieve these goals in its production facilities. Using deep learning and focusing on the data-centric approach are the key success factors of those quality inspection systems. This technical report describes the developed framework, and the results are discussed.