人工智能背景下纺织品检测方法研究
Research on textile testing methods under the background of artificial intelligence
武明明1
作者信息
- 1. 菏泽市纺织纤维检验所,菏泽 274000
- 折叠
摘要
传统的纺织品检测方法存在着主观性和效率低下的问题,而基于人工智能技术的检测方法则为解决这些问题提供了新的思路.本文首先概述了传统的纺织品检测方法,包括目视检测、手动检测和传统的机器视觉检测技术.随后,着重介绍了基于人工智能技术的纺织品检测分析方法,包括数据采集与预处理、特征提取与选择、检测模型设计与训练以及检测结果分析与评估.通过人工智能技术的应用,可以实现纺织品检测过程的自动化、高效化和准确性提升,为纺织行业的质量控制和生产优化带来了新的可能性.实验结果表明,与传统方法相比,本文的方法检测准确率提高了23.5%.因此,人工智能技术下的纺织品检测方法可以在实际中广泛推广应用.
Abstract
Traditional textile testing methods have problems of subjectivity and inefficiency,and the testing method based on artificial intelligence technology provides a new way to solve these problems.This paper first summarizes the traditional textile inspection methods,including visual inspection,manual inspection and traditional machine vision inspection technology.Then,the textile testing and analysis methods based on artificial intelligence technology are introduced,including data acquisition and preprocessing,feature extraction and selection,testing model design and training,and testing result analysis and evaluation.Through the application of artificial intelligence technology,the automation,efficiency and accuracy of the textile testing process can be achieved,which brings new possibilities for the quality control and production optimization of the textile industry.Experimental results show that the detection accuracy of the proposed method is improved by 23.5%compared with the traditional method.Therefore,the textile testing method based on artificial intelligence technology can be widely promoted and applied in practice.
关键词
人工智能技术/纺织品/检测方法Key words
artificial intelligence technology/textiles/detection method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据