工业4.0:智能质量控制和表面缺陷检测

Vineeth C. Johnson, Jyoti S Bali, C. B. Kolanur, Shilpa Tanwashi
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引用次数: 2

摘要

最近,质量控制(QC)在制造商中成为一种重要的全球趋势,根据工业4.0的要求,采用智能制造实践。智能制造是通过使用尖端技术、传感器集成、分析和物联网(IoT)来提高生产的过程。本文主要集中研究质量控制技术的范围和演变,从传统的实践到智能的方法,以及现有的先进技术。强调了构建智能QC系统在安全性、系统集成、互操作性和人机协作方面面临的挑战。表面缺陷检测已发展成为现代制造设置的关键QC应用程序,以确保高质量的产品具有高市场需求。此外,还讨论了使用智能质量控制技术进行表面缺陷检测的最新趋势和问题。讨论了利用Haar级联分类器实现水泥墙表面缺陷检测的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industry 4.0: Intelligent Quality Control and Surface Defect Detection
Quality Control (QC) has recently emerged as a significant global trend among manufacturers, adopting intelligent manufacturing practices in view of Industry 4.0 requirements. Intelligent manufacturing is the process of enhancing production through the use of cutting-edge technologies, sensor integration, analytics, and the Internet of Things (IoT). The proposed paper mainly focuses on the study of the scope and the evolution of quality control techniques from conventional practices to intelligent approaches along with the state of art technologies in place. The challenges faced in building intelligent QC systems, in terms of security, system integration, Interoperability, and Humanrobot collaboration, are highlighted. Surface defect detection has evolved as a critical QC application in modern manufacturing setups to ensure high-quality products with high market demand. Further, the recent trends and issues involved in surface defect detection using intelligent QC techniques are discussed. The methodology of implementing surface defect detection on cement wall surfaces using the Haar Cascade Classifier is discussed.
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