3D visual analytics for quality control in engineering

This article will focus on 3D visual analytics for quality control in engineering. The world today is a busy place with a rapidly increasing amount of data to be dealt with every day. Problems are encountered when most of the data are stored without filtering and refinement for later use. Industry has raised the demands for the high technological performance of final products, such as short production time, low manufacturing costs and overall product quality. Digitizing in the real-world has various application domains, and is of vital importance when it comes to methods involving industrial quality assurance. The process of the rapid development of products depends on new technologies, such as 3D scanning, 3D printing and prototyping. Detailed digitizing can provide more product information, making it easier to locate the causes of inaccuracies and optimize production. These possibilities help us check and improve tools and gadgets, control the form of prototypes and test series in production optimization, quality assurance of serial production etc. Quality and rapid digitizing using these systems makes copying easy and thus accelerates serial production, which is why these procedures are used by numerous companies. This paper explores and analyzes existing technology and devices used in industrial quality assurance, and provides a brief review of current options and application opportunities.