A Yarn Process Inspection System Using Image Processing
| Autor: | Jang-Kyu Yoon, Chang-Yong Lim, Dongwon Shin |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Machine vision business.industry Manufacturing process Mechanical Engineering Process (computing) High resolution Image processing Yarn Industrial and Manufacturing Engineering visual_art visual_art.visual_art_medium Computer vision Artificial intelligence Safety Risk Reliability and Quality business Line scan Realization (systems) |
| Zdroj: | Journal of the Korean Society for Precision Engineering. 30:513-519 |
| ISSN: | 1225-9071 |
| DOI: | 10.7736/kspe.2013.30.5.513 |
| Popis: | Line scan camera has been widely used in the area of inspection of glass, film, fabric, iron, PCB and etc. due to the high resolution and the high speed. We developed the line scan based vision system to inspect tangled and cut-off status of yarn in the manufacturing process. The original image is binarized with a proper threshold, and the gap distances in the yarn are measured in real time, so finally the status of the process is decided by the maximum value of the gap distance. All procedures are executed in real time by realization of multi-processed threads. By implementation of this system, the error of the yarn in manufacturing process can be precedently monitored and the loss of the yarn is decreased efficiently. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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