摘要
作为智能制造的重要支撑手段,机器视觉技术集图像采集、处理与智能分析于一体,已广泛应用于工业自动化领域。文章系统综述了机器视觉的基本原理、系统构成及关键技术,重点分析了其在缺陷检测、尺寸测量与装配定位等典型工业场景中的应用。结合人工智能与边缘计算等新兴技术的发展趋势,探讨了机器视觉向智能化、多维化方向的发展,为推动工业生产的高效、精准与柔性化提供了有力的技术支撑。
Machine vision technology,as an important supporting means of intelligent manufacturing,integrates image acquisition,processing,and intelligent analysis,and has been widely applied in the field of industrial automation.The article systematically summarizes the basic principles,system composition,and key technologies of machine vision,with a focus on analyzing its applications in typical industrial scenarios such as defect detection,dimensional measurement,and assembly positioning.Combined with the development trend of emerging technologies such as artificial intelligence and edge computing,this paper discusses the development of machine vision in the direction of intelligence and multi-dimensional,which provides strong technical support for promoting the efficiency,accuracy and flexibility of industrial production.
作者
张博
冯娟
刘永立
ZHANG Bo;FENG Juan;LIU Yongli(Baoding University of Technology,Baoding,Hebei 071000,China)
基金
保定理工学院2024年度校级科研项目:机器视觉技术在工业检测中的关键应用研究(KY202409)。
关键词
智能制造
工业检测
机器视觉
intelligent manufacturing
industrial inspection
machine vision
