Design of Gear Defect Detection System Based on Machine Vision

被引：2
|
作者：
Wang, Yu [1 ]
Wu, Zhiheng [1 ]
Duan, Xianyun [1 ]
Tong, Jigang [1 ]
Li, Ping [1 ]
Chen, Min [1 ]
Lin, Qinglin [2 ]
机构：
[1] Guangdong Univ Finance & Econ, Sch Publ Policy & Management, Guangzhou 510320, Guangdong, Peoples R China
[2] Guangzhou Natl Intelligent Power Technol Co LTD G, Guangzhou 510320, Guangdong, Peoples R China
来源：
2017 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION (ESMA2017), VOLS 1-4 | 2018年 / 108卷
关键词：
D O I：
10.1088/1755-1315/108/2/022025
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In order to solve such problems as low efficiency, low quality and instability of gear surface defect detection, we designed a detection system based on machine vision, sensor coupling. By multisensory coupling, and then CCD camera image collection of gear products, using VS2010 to cooperate with Halcon library for a series of analysis and processing of images. At last, the results are fed back to the control end, and the rejected device is removed to the collecting box. The system has successfully identified defective gear. The test results show that this system can identify and eliminate the defects gear quickly and efficiently. It has reached the requirement of gear product defect detection line automation and has a certain application value.
引用
收藏
页数：5
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