Machine Vision based Grabbing Objects with Manipulator System Design

Authors

  • Yanting Ni Chengdu University
  • Xiangjun Yang Chengdu University
  • Yue Cheng Chengdu University
  • Zhihong Dong Chengdu University
  • Mao Tang Chengdu University

DOI:

https://doi.org/10.4186/ej.2021.25.2.327

Keywords:

machine vision, manipulator control, image recognition

Abstract

In recent years, machine vision technology and robot control technology have attracted lots attention of the researchers. They provide people with fast and efficient services in many fields, which have an increasingly important impact on the modern manufacturing industry and the inspection industry. In this paper, a mechanical vision-based grab control system based on machine vision is developed and analyzed accordingly. This design employs industrial cameras with Gigabit Ethernet ports, six-degree-of-freedom servo drive robots. The Host computer control software is designed on the development platform provided by Microsoft and processed in machine vision image processing. The software has implemented an image processing algorithm. It aims to combine machine vision, robot control and other technologies to achieve precise positioning, recognition and capture of targets. In the end, the proposed method is displayed in the upper computer accordingly.

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Author Biographies

Yanting Ni

Chengdu University, No. 1 Shiling Upperstreet, Chengdu, Sichuan Province, P. R. China, 6101

Xiangjun Yang

Chengdu University, No. 1 Shiling Upperstreet, Chengdu, Sichuan Province, P. R. China, 6101

Yue Cheng

Chengdu University, No. 1 Shiling Upperstreet, Chengdu, Sichuan Province, P. R. China, 6101

Zhihong Dong

Chengdu University, No. 1 Shiling Upperstreet, Chengdu, Sichuan Province, P. R. China, 6101

Mao Tang

Chengdu University, No.1 Shiling Upperstreet, Chengdu, Sichuan Province, P. R. China, 6101

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Published In
Vol 25 No 2, Feb 28, 2021
How to Cite
[1]
Y. Ni, X. Yang, Y. Cheng, Z. Dong, and M. Tang, “Machine Vision based Grabbing Objects with Manipulator System Design”, Eng. J., vol. 25, no. 2, pp. 327-334, Feb. 2021.