|本期目录/Table of Contents|

 基于视觉识别的对准精度研究(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2017年5期
页码:
378-383
栏目:
精密测量
出版日期:
2017-09-15

文章信息/Info

Title:
 Alignment Accuracy Study Based on Visual Identification
文章编号:
1672-6030(2017)05-0378-06
作者:
 张嘉易1 郭鹏跃1 贾瑾2 郝永平1 朱欢欢1
 (1. 沈阳理工大学辽宁省先进制造与装备重点实验室,沈阳 110159; 2. 淮海工业集团有限公司 MEMS研究中心,长治046012)
Author(s):
 Zhang Jiayi1 Guo Pengyue1 Jia Jin2 Hao Yongping1 Zhu Huanhuan1
 (1. Key Laboratory of Advanced Manufacture and Equipment of Liaoning Province, Shenyang Ligong University,
Shenyang 110159, China; 2. MEMS Research Center, Huaihai Industrial Group Co., Changzhi 046012, China)
关键词:
 对准精度 轮廓提取 坐标转换 装配系统
Keywords:
 alignment accuracy contour extraction coordinate transformation assembly system
分类号:
TP216; TH741
DOI:
10.13494/j.npe.20160039
文献标识码:
A
摘要:
 为了解决在微小器件装配系统中相机的光轴与理想位置产生偏角的问题,提出了空间坐标转换方法进行相机的位置校准,采用螺纹制动的机械方式进行微调,保证了夹持器的轴线和相机的光轴高度平行,以达到高对准精度.通过分析电荷藕合器件图像传感器(CCD)实时获取的零件装配图像,提出了基于Canny算子轮廓边界差值的微距离测量方法,该方法具有非接触测量的优点,能够有效测量零件装配的对准精度.进行了相关的实验验证,实验结果表明该微小器件装配系统的对准精度小于0.1 mm.
Abstract:
 There will be a drift angle between optical axis of the camera and its ideal position in tiny device assembly systems. To solve this problem, a coordinate transformation method is applied to calibrate the position of camera. Meanwhile, a mechanical method of thread brake is applied for finetuning, ensuring that the axis of the holder and the optical axis of the camera are highly parallel, so as to achieve high alignment precision of the object. By analyzing the realtime images of the part assembly obtained through charge coupled device image sensor (CCD), the method of micro distance measurement based on Canny operator contour boundary difference is proposed. The method with the advantage of noncontact measurement can effectively measure the alignment accuracy of part assembly. Validation experiments were conducted and the results show that the alignment accuracy of the tiny device assembly system is less than 0.1 mm.

参考文献/References

备注/Memo

备注/Memo:
收稿日期: 2016-09-28.
基金项目: 辽宁省科学技术基金资助项目(201102182).
作者简介: 张嘉易(1968— ),男,博士,教授.
通讯作者: 郭鹏跃,878768842@qq.com.
更新日期/Last Update: 2017-09-28