Towards Automated Visual Inspection and Classification of Micro-Parts
The mechanical manufacturing of micro-parts is a challenging field of research. Because of high quality requirements and small tolerances, manufacturing processes have to be very stable and precise. In order to achieve high precision a suitable quality assurance concept is required. Only measured features can be used for statistical process control (SPC). Therefore, this paper presents a concept of an automated visual inspection and classification methods for micro-parts. Using confocal laser scanning microscopy, high-resolution 3D-height maps with depth selectivity are obtained. The identification of surface imperfections is done with a set of conventional image processing techniques. Afterwards, these kinds of surface defects are classified by the use of classification methods like decision trees.
Image acquisition and automated inspection of wine bottlenecks by tracking in multiple views
In this paper we propose a prototype for image sequence acquisition of glass wine bottlenecks, whose main novelty is the use of an inner lighting source for better capturing of potential defects. A novel approach for automatic inspection of the bottlenecks based on tracking potential flaws along the acquired sequence is also presented. Our inspection system achieves performance rates of 87% true positives and 0% false positives.
Formation and Strength of Magnesia Whiskers
The formation of single-crystal magnesia whiskers during the compressive deformation of single crystals at room temperatures is described. These whiskers can have strengths of the order of millions of pounds per square inch. They are formed during fracture as a result of the discontinuous propagation of cracks which are mechanically relieving internal stresses resulting from plastic flow