摘要
基于多技术融合的表面微观缺陷检测方法结合最新的物体成像、云计算、人工智能和5G等前沿技术,建立微观缺陷检测系统,对微观领域的缺陷进行精确检测,具有识别速度快、准确率高、成本低、可追溯性强、数据分析、智能反控等优点,克服了传统检测手段的弊端,且在典型工业场景中得到了较好的应用。
Surface micro-defect detection has a pivotal position in the industrial field.At present,a large number of manual or traditional machine vision methods are still used for surface micro-defect inspection,which leads to unstable defect detection accuracy on the sub-micron level,which are difficult to be fully promoted in the industrial field.The surface micro-defect detection method based on multi-technology fusion combines the latest object imaging technologies,cloud computing,AI and 5G and other cutting-edge technologies to establish a micro defect detection system to accurately detect defects in the micro field with fast recognition speed and high accuracy,low cost,strong traceability,data analysis,intelligent counter-control,etc.,which overcomes the shortcomings of traditional detection methods,such as single-point detection,low accuracy,high cost,lagging response,poor analysis,and weak system.Finally,the application of this technology in typical industrial scenarios is discussed.
作者
陈虎
王成
卢仁谦
CHEN Hu;WANG Cheng;LU Renqian(Chongqing Humi Network Technology Co.,Ltd.,Chongqing 400000,China;Xidian University,Xi'an 710071,China)
出处
《信息通信技术与政策》
2021年第1期20-26,共7页
Information and Communications Technology and Policy
关键词
工业互联网
视觉检测
表面微观缺陷
工业人工智能
Industrial Internet
visual inspection
surface micro-defects
artificial intelligence