Automated Visual Inspection of Oily Components using Machine Learning Techniques

Quality assurance in foundries using automated visual inspection techniques

An important aim of automation is to increase productivity and to decrease costs. In the past automation was mainly focused on steering and controlling motions and operation sequences. In many cases the sensory capabilities of automated production systems are underdeveloped and quality inspection is still carried out manually and visually. By using automated visual inspection systems and digita...

Automated Species Identification System using Machine Learning Techniques

Taxonomy is the science of naming, describing and classifying organisms that includes all plants, animals and microorganisms of the world. Using morphological, behavioral, genetic information and biochemical observations, taxonomists identify and describe species into classifications, including those that are new to science. The taxonomic identification of fishes is a time-consuming process and...

Automatic Inspection of Aircraft Components Using Thermographic and Ultrasonic Techniques

Automated Visual Inspection: Wood Boards

The majority of scientific papers focusing on wood classification for pencil manufacturing take into account defects and visual appearance. Traditional methodologies are based on texture analysis by co-occurrence matrix, by image modeling, or by tonal measures over the plate surface. In this work, we propose to classify plates of wood without biological defects like insect holes, nodes, and cra...

Automated Quality Inspection of Microfluidic Chips Using Morphologic Techniques

We apply morphological image processing for quality inspection of microfluidic chips. Based on a comparison of measured topographies with design data, we provide a coherent solution to four central tasks in the quality assessment of injection moulded polymer devices: determination of channel depth, identification of burrs, calculation of transcription accuracy, and detection of defective region...