Neural Network Based Color Recognition for Bobbin Sorting Machine
Neural Network Based Color Recognition for Bobbin Sorting Machine
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DOI：
10.11591/telkomnika.v11i7.2820
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发表时间：
2013-07
影响因子：
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通讯作者：
Mu Zhang;X. Ding;Xin Li
中科院分区：
文献类型：
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作者：
Mu Zhang;X. Ding;Xin Li
络筒是纺织工业生产过程中的关键工序。络筒工序的正常有效运行对纺织品的质量和经济效益起着非常重要的作用。目前络筒机回收的筒子中仍有很大一部分留纱。筒管回收严重受限，严重制约了络筒机的快速运转，自动理筒机的发明解决了这一问题。对剩余纱线的区分能力和颜色的分类精度是筒子纱分拣机的两个重要性能指标。根据颜色识别技术和人工智能方法的发展和应用，提出了一种基于BP神经网络的颜色识别方法。实验结果表明，颜色识别的准确率达到98%。DOI：http://dx.doi.org/10.11591/telkomnika.v11i7.2820全文：PDF
Winding is a key process in the manufacturing process of textile industry. The normal and effective operation of winding process plays a very important role on the textiles’ quality and economic effects. At present, a large proportion of bobbins which collected from winder still have yarn left over. The bobbin recycling is severely limited and quick running of winder is seriously restricted, the invention of the the automatic bobbin sorting machine has solved this problem. The ability to distinguish bobbin which has yarn left over from the rest and the classification accuracy of color are the two important performance indicators for bobbin sorting machine. According to the development and application of the color recognition technology and the artificial intelligence method, this study proposes a novel color recognition method that based on BP neural networks. The result shows that the accuracy of color recognition reaches 98%. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2820 Full Text: PDF