摘要
在印刷品缺陷检测工序环节,人工缺陷检测效率低,长时间的工作会导致误检率和漏检率增大。随着AI技术的持续发展,将人工智能技术应用于印刷生产中可大大提高生产效率。文章介绍了基于传统机器学习和基于人工智能算法的缺陷检测技术发展背景。论述了缺陷检测技术在印刷业中的应用,总结了当前缺陷检测技术存在的不足,展望未来可能的研究趋势。
In the process of print defect detection,the effi ciency of manual defect detection is low,and the long-term work will lead to the increase of false detection rate and missed detection rate.With the continuous development of AI technology,the application of artifi cial intelligence technology to printing production can greatly improve production effi ciency.This paper introduces the development background of defect detection technology based on traditional machine learning and artifi cial intelligence algorithm.This paper discusses the application of defect detection technology in printing industry,summarizes the shortcomings of current printing defect detection technology,and looks forward to the possible research trends in the future.
出处
《丝网印刷》
2023年第20期48-50,共3页
Screen Printing
基金
2023年度义乌市社科联课题“基于数字孪生的生产车间升级路径及对策研究——以印刷业为例”的阶段性研究成果(编号90108)。
关键词
缺陷检测
人工智能
印刷生产
defect detection
artifi cial intelligence
printing production
