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.
ON INTRODUCTION OF QUALITY METRICS FOR COMPUTERIZED ENGINEERING DRAWINGS
The quality of engineering drawings affects the inter-departmental information interchange of engineering objects in the industry, directly. Indirectly, it plays an important role in the manufacturing of engineering products because a poor quality drawing can produce an incomplete and/or incorrect product. Quality of a manually drawn engineering drawing is inspected through well established standards, however, the inspection of a computerized engineering (CE) drawing for its quality needs further research. In this paper, we have proposed different quality metrics to check the quality of a CE drawing in terms of its completeness and correctness. The proposed metrics can facilitate the engineering industry by saving the time and cost of manual inspection through automating the process.
"Flying Triangulation" - a new optical 3D sensor enabling the acquisition of surfaces by freehand motion
In order to obtain complete 3D surface information of an object it is often necessary to acquire many partial 3D views. For this purpose, the sensor has to be moved (e.g. for the acquisition of sculptures or rooms). Further, in many cases a motion of the object relative to the sensor is unintended but inevitable (e.g. for medical applications such as intraoral measurements of teeth). Nearly all existing optical 3D sensors either lack an easy handling or require a standstill during the acquisition of a single partial 3D view, since usually multiple camera shots have to be taken for this purpose. This makes such measurements elaborate or even impossible.