25 October 2004 Real-time fault detection of braiding ropes using recognition methods
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Proceedings Volume 5603, Machine Vision and its Optomechatronic Applications; (2004); doi: 10.1117/12.570407
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Formation of this paper is evoked by solving of device that is able to detect faults of braiding ropes in real-time. Many various inspection devices for textile industry were developed. However, rope-producing textile company has come with demand of intelligent inspection device that is able to detect faults in finishing process. The winding speeds are 50 - 200 m/min. Nowadays commercial devices are focused on textile fabrics (weaving or knitting) and they are only able to detect basic faults (holes, dirty and oil spots). Considering textile structure faults are possible to find in several research papers, however, for specific types of textiles or for slow processes only. The inspection device, which has been developed in our laboratory, is able to work with high winding speeds of rope. The device is based on fast line-scan camera with Camera-Link interface. The goal of the project was to search three basic structure faults: missing strand, strands pulled tight and stitch irregularity. The principle of fault detection is based on gathering the most suitable symptoms that are used for recognition methods. These methods are very successful for speech recognition and using them even bring us better results than using neural networks. This paper shows the way of finding the most suitable symptoms, their statistical evaluation and decision making algorithms. The most important step is reducing the problem from time-consuming image processing to one-dimensional signal processing.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lukas Matela, "Real-time fault detection of braiding ropes using recognition methods", Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); doi: 10.1117/12.570407; https://doi.org/10.1117/12.570407



Line scan image sensors

Detection and tracking algorithms

Signal processing

Image processing


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