用于机械系统瞬时目标的双视角高速视觉检测系统

王耀东; 朱力强; 余祖俊; 郭保青

doi:10.3788/OPE.20172510.2725

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用于机械系统瞬时目标的双视角高速视觉检测系统

信息科学 | 更新时间：2020-08-13

- 用于机械系统瞬时目标的双视角高速视觉检测系统
- Two-view high speed vision system for instant object detection in mechanical system
- 光学精密工程 2017年25卷第10期页码：2725-2735
- 作者机构：
  
  北京交通大学机械与电子控制工程学院, 北京 100044
- 作者简介：
  
  [ "王耀东(1982-), 男, 河北石家庄人, 讲师, 2008年于北京科技大学获得硕士学位, 2011年于日本广岛大学获得博士学位, 现为北京交通大学机电学院讲师, 主要从事机器视觉及光学测控方面的研究.E-mail:ydwang@bjtu.edu.cn" ]
  [ "朱力强(1972-), 男, 辽宁大连人, 副教授, 1998年于北京交通大学获得硕士学位, 2004年于美国亚利桑那州立大学获得博士学位, 现为北京交通大学机电学院副教授, 主要从事轨道交通检测技术研究.E-mail:lqzhu@bjtu.edu.cn" ]
- 基金信息：
  
  科技部国家重点研发计划资助项目(2016YFB1200100);中央高校基本科研业务费专项资金资助项目(M16JB00240)
- DOI：10.3788/OPE.20172510.2725
  中图分类号： TP391.4;TP242.6
- 收稿日期：2017-04-09，
  
  录用日期：2017-5-10，
  
  纸质出版日期：2017-10-25
- 稿件说明：
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王耀东, 朱力强, 余祖俊, 等. 用于机械系统瞬时目标的双视角高速视觉检测系统[J]. 光学精密工程, 2017,25(10):2725-2735.

Yao-dong WANG, Li-qiang ZHU, Zu-jun YU, et al. Two-view high speed vision system for instant object detection in mechanical system[J]. Optics and precision engineering, 2017, 25(10): 2725-2735.
王耀东, 朱力强, 余祖俊, 等. 用于机械系统瞬时目标的双视角高速视觉检测系统[J]. 光学精密工程, 2017,25(10):2725-2735. DOI： 10.3788/OPE.20172510.2725.

Yao-dong WANG, Li-qiang ZHU, Zu-jun YU, et al. Two-view high speed vision system for instant object detection in mechanical system[J]. Optics and precision engineering, 2017, 25(10): 2725-2735. DOI： 10.3788/OPE.20172510.2725.

摘要

基于高速相机研发了双视角高速视觉检测系统。该系统可从不同角度对周期机械运动进行长时间、无接触的同步实时检测，并可自动判断和存储异常动作的瞬时高帧率视频图像。基于机械系统运动特性提取理论，提出了多视角高帧率视频图像的离线处理算法，利用两个高速相机准确建立了样本图像数据库及它们的对应关系。提出了多视角同步实时检测算法，完成了对目标的实时视觉检测，并实现了瞬时保存关键图像的功能。为验证算法的有效性和系统的稳定性，搭建了双视角高速视觉检测系统，对真实的机械系统进行了实验。结果显示，提出的系统实现了500fps的双目高速相机同步检测，以及0.1 s内运动目标的自动判断，同时完成了对关键图像的瞬时保存。文中的研究为机械系统的非接触检测提供了一种高速可视化的检测方法。

Abstract

A two-view high-speed synchronous vision system was developed based on high-speed cameras. It was used to monitor synchronously periodic mechanical motion in non-contact and long term modes from different views. It could automatically judge the abnormal motion and could record high-speed vision images at a moment. On the basis of extraction of motion characteristics of a mechanical system

an offline processing algorithm of multi-view high frame rate video image was proposed. Two high-speed cameras were used to accurately establish the sample image database and their relation. Then

a multi-angle synchronous real-time detection algorithm was proposed to quickly complete the real-time visual detection of the targets

meanwhile recording key images instantaneously. To confirm the validity and stability of algorithms

the two-angle-view high-speed vision monitor system was built in laboratory

and real mechanical parts were detected in experiments. The experimental results show that the vision monitor system achieves a high-speed synchronous detection of 500fps

the validity judgment of abnormal motion happened in 0.1 s

and the recording instantaneously for key images. The research working provide a higher speed visual detection method for the noncontact detection of mechanical systems.

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references

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