Robot precise positioning and interconnection system based on machine vision
DOI:
https://doi.org/10.63313/AERpc.2011Keywords:
Machine Vision, Industrial Robot, Positioning and Grasping, Internet of Things (IoT), Image ProcessingAbstract
With the continuous advancement of intelligent manufacturing in our country, factories have increasingly higher requirements for intelligent devices. Traditional production technologies can no longer meet the growing needs of enterprises. In order to improve the quality of product production, adapt to complex production scenarios, and achieve intelligent interconnection and flexible production, enterprises combine equipment IoT (Internet of Things) and visual systems to conduct real-time detection and positioning of products. They utilize industrial robots with high precision for rapid sorting, thereby replacing manual labor to complete high-intensity and high-precision work. The integration of this technology is an important driving force for the construction of digital factories and the development of intelligent manufacturing. This article introduces EPSON robots and machine vision systems, and develops a monitoring software APP, realizing the application of an interconnected system for precise positioning and grasping.
References
[1] Guoqiang Dong; Yingfeng Xu; Xianbo Zeng; Yiyang Yu. Exploration on the Application of Intelligent Manufacturing Technology in Industrial Automation Production Lines [J]. Technology Innovation and Application, 2020(34)
[2] Hongbing Zhang. Application of Intelligent Manufacturing Technology in Industrial Auto-mation Production Lines [J]. Paper Making Equipment & Materials, 2022(01)
[3] Rui Liu. Research on the Intelligent Application Trends of Small Industrial Robots [J]. Pre-cision Manufacturing & Automation, 2018, 000(2): 5-8, 40.
[4] Yangyang Yong, Guangcai Zhang,Xinhao Gao,Jirong He, Yifang Wen. System Design and Re-search of Robot Assembly Workstation Based on Machine Vision [J]. Machine Building & Automation, 2018, 47(05).
[5] Ming Li. Research on the Recognition and Positioning Technology of Machine Vision for Sports Food [D]. Harbin: Harbin University of Commerce, 2014.
[6] Bangjin Xie. Positioning and Grasping Technology of Industrial Robots Based on Machine Vision [J]. Internal Combustion Engine & Parts, 2018, 21: 216-218.
[7] Jinsuo Huang, Zhenghua Shen. Dynamic Grasping Technology Based on Vision and Indus-trial Robots [J]. Packaging Engineering, 2019.6, 11: 177-182.
[8] Youliang Yuan. Application of Internet of Things Technology in Industrial Automation [J]. Electronic Technology & Software Engineering, 2019(20)
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by author(s) and Erytis Publishing Limited.

This work is licensed under a Creative Commons Attribution 4.0 International License.