Mechanical Engineering

Identification and Location Algorithm of Connectors for Automatic Wiring System

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  • School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
胡广华(1980-) ,男,博士,副教授,主要从事智能制造、机器视觉研究。

Received date: 2020-07-31

  Revised date: 2020-08-24

  Online published: 2020-08-28

Supported by

Supported by the National Natural Science Foundation of China for Young Scholars ( 51505155) and the Natural Science Foundation of Guangdong Province ( 2020A1515010698)

Abstract

In order to realize automated wire-socket assembly,an automatic robot wiring system based on machine vision was designed. And,to avoid the interference caused by the change of imaging angle and the clutter background,a connector identification method based on cumulative quantization gradient orient feature was proposed to improve the stability of target connector identification. On this basis,a multi-socket positioning algorithm based on scan line histogram characteristics was proposed to solve the problem of multi-sockets' center positioning caused by the dense arrangement of sockets. Experimental results show that the designed algorithm can stably identify the target connector and meet the accuracy requirements of socket positioning.

Cite this article

HU Guanghua, HUANG Junfeng, WANG Ning, et al . Identification and Location Algorithm of Connectors for Automatic Wiring System[J]. Journal of South China University of Technology(Natural Science), 2021 , 49(3) : 17 -24,33 . DOI: 10.12141/j.issn.1000-565X.200449

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