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基于机器视觉的工件的在线检测
引用本文:潘武,张莉彦,徐俊成.基于机器视觉的工件的在线检测[J].组合机床与自动化加工技术,2012(7):75-78,81.
作者姓名:潘武  张莉彦  徐俊成
作者单位:北京化工大学机电工程学院,北京,100029
摘    要:利用HALCON软件提供的算子对摄像机内、外参数和机器人"手眼"系统进行标定,在此基础上结合视觉检测技术提出了一种工件在线缺陷检测的方法。该方法是根据触发时刻的空间位置来确定抓取时刻工件位置的一种空间相量平移方法,接着利用图像处理软件发出的电信号来控制机械手来完成缺陷工件的动态抓取工作。最后利用C++完成人机界面的设计,经调试可完成实时在线检测、可达到生产要求精度。

关 键 词:机器视觉  相机标定  识别和定位  在线检测

The Research About On-line Detection of Workpiece Based on Machine Vision
PAN Wu , ZHANG Li-yan , XU Jun-cheng.The Research About On-line Detection of Workpiece Based on Machine Vision[J].Modular Machine Tool & Automatic Manufacturing Technique,2012(7):75-78,81.
Authors:PAN Wu  ZHANG Li-yan  XU Jun-cheng
Affiliation:(School of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China)
Abstract:This article introduce mainly the calibration of the inside and outside parameters of the camera calibration and the calibration of robot "eye-hand" system based on the operator provided by HALCON software,and based on this,presents a workpiece on-line defect insepction methods combined with visual inspection technology.This method is based on the spatial position of triggering time to determine the grab a space time phasor translation methods,then use the image processing software to control the electric signals of a robotic arm to complete the dynamic grab defects.Final finish the interface design by using c++software.After debugging,this system can complete real-time online detection,and can achieve production requirements precision.
Keywords:machine vision  camera calibration  recognition and location  on-line detection
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