Automation in quality monitoring of fabrics and garment seams
Autor: | Thomas Gries, Volker Niebel, Marco Saggiomo, Volker Lutz, Kristina Simonis |
---|---|
Rok vydání: | 2018 |
Předmět: |
010407 polymers
Process (engineering) Computer science business.industry media_common.quotation_subject 02 engineering and technology Yarn 021001 nanoscience & nanotechnology Visual appearance 01 natural sciences Automation Field (computer science) Manufacturing engineering 0104 chemical sciences Product (business) visual_art visual_art.visual_art_medium Quality (business) 0210 nano-technology business Weaving media_common |
Popis: | By increasing fraction of automation technologies, it is necessary to implement capable quality monitoring systems along the textile productions chain. In general, the observation of process parameters or the implementation of vision systems has been investigated. Because product quality is strongly depended on visual appearance the development of feasible vision systems is strongly pushed by industry demands. However, the use of cameras and proper lighting conditions needs to fulfill complex product requirements. Whenever defects occur during manufacturing products, extra costs incur due to the efforts and the time spent to fix these defects. So, it is a goal for manufacturers to minimize these costs by trying to detect those defects before they happen. Therefore, manufacturers started to equip their industrial machines with automatic defect detection systems. One of the major defects that can occur in weaving industry is yarn irregularity. Yarn irregularity presents a problem because it reduces the economic value of the woven product. The following chapter presents current technologies and innovative developments in the field of vision-based fabric and seam inspection. |
Databáze: | OpenAIRE |
Externí odkaz: |