Next Article in Journal
Anxiety Detection Using Consumer Heart Rate Sensors
Previous Article in Journal
On the Performance Comparison of Intelligent Control Strategies for Lithium Battery Chargers
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Engineering Proceedings
Volume 77
Issue 1
10.3390/engproc2024077019
engproc-logo
Submit to this Journal
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges †

by
Carlos Calderon-Cordova
*,
David Castillo
,
José Fernandez
,
Roger Sarango
and
Raúl Castro
Department of Computer Science and Electronics, Universidad Técnica Particular de Loja, Loja 1101608, Ecuador
*
Author to whom correspondence should be addressed.
†
Presented at the XXXII Conference on Electrical and Electronic Engineering, Quito, Ecuador, 12–15 November 2024.
Eng. Proc. 2024, 77(1), 19; https://doi.org/10.3390/engproc2024077019
Published: 18 November 2024
(This article belongs to the Proceedings of The XXXII Conference on Electrical and Electronic Engineering)
Browse Figures
Versions Notes

Abstract

The manufacturing, assembly, and packaging processes of industrial hinges must improve their productivity. To address this challenge, a technological system based on a robot arm and vision machine was developed, integrated, and evaluated. The devices that make up the hardware architecture are the following: the Epson VT6L six-degrees-of-freedom industrial robot arm, the Compact Vision CV2-HA image-processing device, the Basler acA1600-20gc camera, and the end effector based on 3 kg holding force electromagnets. The software elements used for the development of this automated system are the SPEL+ programming language and VisionGuide tool, both of which are integrated into the Epson RC+ robotic system development environment. For the performance evaluation of the hinges and packaging identification algorithms, 80 hinges of each type were used as input to the robotic system workstation. As a result, the following results were obtained: (1) the hinge identification algorithms were 100% correct, (2) the primary packaging identification algorithm was 100% correct, and (3) the hinge assembly algorithm was 92.5% correct because it had six errors. These results provide evidence of the effectiveness of the developed system. In addition, the motion times of the robot arm were analyzed in detail to identify opportunities for improving the automated production process.
Keywords: robotic arm; machine vision; object recognition; robot motion times; motion control algorithms robotic arm; machine vision; object recognition; robot motion times; motion control algorithms
Graphical Abstract

Share and Cite

MDPI and ACS Style

Calderon-Cordova, C.; Castillo, D.; Fernandez, J.; Sarango, R.; Castro, R. An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges. Eng. Proc. 2024, 77, 19. https://doi.org/10.3390/engproc2024077019

AMA Style

Calderon-Cordova C, Castillo D, Fernandez J, Sarango R, Castro R. An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges. Engineering Proceedings. 2024; 77(1):19. https://doi.org/10.3390/engproc2024077019

Chicago/Turabian Style

Calderon-Cordova, Carlos, David Castillo, José Fernandez, Roger Sarango, and Raúl Castro. 2024. "An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges" Engineering Proceedings 77, no. 1: 19. https://doi.org/10.3390/engproc2024077019

APA Style

Calderon-Cordova, C., Castillo, D., Fernandez, J., Sarango, R., & Castro, R. (2024). An Integrated System of Industrial Robotics and Machine Vision for the Automation of the Assembly and Packaging Process of Industrial Hinges. Engineering Proceedings, 77(1), 19. https://doi.org/10.3390/engproc2024077019

Article Metrics

Back to TopTop