3D技术在机器视觉检测中的应用  

Application of 3D Technology in Machine Vision Inspection

作　　者：王肖 潘天成 WANG Xiao;PAN Tiancheng(Hangzhou Polytechnic,Hangzhou,Zhejiang 311400,China)

机构地区：[1]杭州科技职业技术学院,浙江杭州311400

出　　处：《自动化应用》2023年第9期22-25,共4页Automation Application

基　　金：杭州科技职业技术学院(HKYZXYB-2021-5);浙江省大学生科技创新项目(2022R457A003);浙江省教育科学规划课题(2023SCG012)。

摘　　要：机器视觉逐渐深入工业领域,传统的2D视觉方案已经趋向成熟,应用局限性已经凸显,受环境影响,其一致性和稳定性难以保障。3D技术可有效解决工业自动化和智能化场景中的测量和定位难题。本文详细分析了基于工业领域的3D视觉技术,包括双目视觉法、激光三角测量法、结构光测量法、To F测量法,并对比了技术优劣,总结了相机三维重建、标定图像采集方法,最后结合基于3D视觉技术的物料分拣案例,分析了系统环境搭建、图像采集、图像融合处理、流程搭建等。Machine vision is gradually deepening into the industrial field,the traditional 2D vision scheme has tended to mature,application limitations have been highlighted,affected by the environment,consistency and stability is difficult to guarantee.3D technology can effectively solve the measurement and positioning problems in industrial automation and intelligent scenes.This paper analyzes 3D vision technology based on industry in detail:Including binocular vision method,laser triangulation method,structured light measurement method,ToF measurement method,and the advantages and disadvantages of the technology are compared,the camera 3D reconstruction,calibration image acquisition methods are summarized,finally combined with the material sorting case based on 3D vision technology,analysis of the system environment,image acquisition,image processing,process construction,etc.

关 键 词：机器视觉 3D技术 三维重建 图像融合 物料分拣 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]