Identification and Location Algorithm of Connectors for
Automatic Wiring System

doi:10.12141/j.issn.1000-565X.200449

Journal of South China University of Technology(Natural Science Edition) ›› 2021, Vol. 49 ›› Issue (3): 17-24,33.doi: 10.12141/j.issn.1000-565X.200449

Special Issue: 2021年机械工程

• Mechanical Engineering • Previous Articles Next Articles

Identification and Location Algorithm of Connectors for Automatic Wiring System

HU Guanghua HUANG Junfeng WANG Ning CAI Xinyao LI Jingrong WANG Qinghui

School of Mechanical and Automotive Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China

Received:2020-07-31 Revised:2020-08-24 Online:2021-03-25 Published:2021-03-01
Contact: 胡广华(1980-) ，男，博士，副教授，主要从事智能制造、机器视觉研究。 E-mail:ghhu@scut.edu.cn
About author:胡广华(1980-) ，男，博士，副教授，主要从事智能制造、机器视觉研究。
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

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．

Key words: wiring system, connectors identification, gradient orient feature, scan line histogram, multi-socket positioning

CLC Number:

TP242

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 Edition), 2021, 49(3): 17-24,33.

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Identification and Location Algorithm of Connectors for Automatic Wiring System

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