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基于机器视觉的汽车刹车片自动检测系统
引用本文:费成,黄影平,胡兴,慈文彦.基于机器视觉的汽车刹车片自动检测系统[J].光学仪器,2018,40(3):76-83.
作者姓名:费成  黄影平  胡兴  慈文彦
作者单位:上海理工大学光电信息与计算机工程学院
基金项目:国家自然科学基金资助项目(61374197)
摘    要:为了提高汽车刹车片的检测效率和准确性,设计了基于机器视觉的汽车刹车片自动化检测系统。针对自动化检测需求搭建了基于可编程逻辑控制器(PLC)的自动化测试平台,开发了相应的视觉系统。结合VisionPro和C#语言开发了检测软件,完成了图像获取、图像校准、图像定位、尺寸测量、缺陷标示、字符识别等任务。实验结果表明,系统可快速、准确地识别出工件的尺寸、表面缺陷和字符。

关 键 词:机器视觉  可编程逻辑控制器(PLC)  尺寸测量  缺陷检测  字符识别
收稿时间:2017/12/12 0:00:00

Machine vision based automatic inspection system for automobile parts
FEI Cheng,HUANG Yingping,HU Xing and CI Wenyan.Machine vision based automatic inspection system for automobile parts[J].Optical Instruments,2018,40(3):76-83.
Authors:FEI Cheng  HUANG Yingping  HU Xing and CI Wenyan
Affiliation:School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:In order to improve the detection efficiency and accuracy of automobile brake pad,an automatic testing system for automobile brake pad based on machine vision is designed.The automation control platform based on programmable logic controller(PLC) is set up to meet the requirements of automatic testing,and the corresponding visual system is developed.At the same time,the detection software is developed combined with VisionPro and C# language.Image acquisition,image calibration,image location,dimension measurement,defect marking and character recognition are completed.The experiments show that the system can quickly and precisely recognize the geometry size,surface defects and text recognition of a brake pad.
Keywords:machine vision  programmable logic controller(PLC)  size measurement  defect detection  text recognition
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