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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 13 Issue 8 ijcatr13081018

IJCATR Volume 13 Issue 8

Integrating MATLAB Image Processing with PLC-Based Automation Systems for Enhanced Process Control in Robotic Manufacturing Environments

Engr. Joseph Nnaemeka, Ayokunle J. Abisola, Temitope Oluwatobi Bakare, Olanrewaju Damilare Moses, Andrew Nil Anang
10.7753/IJCATR1308.1018
keywords : MATLAB, image processing, PLC, automation, process control, robotic manufacturing, defect detection, quality assurance

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In this study, we present a comprehensive framework for integrating MATLAB's image processing capabilities with Programmable Logic Controllers (PLCs) to enhance process control in robotic manufacturing systems. This integration aims to improve automation by enabling real-time defect detection, quality assurance, and adaptive control within industrial processes. We developed a simulation environment in MATLAB to model the interactions between image processing algorithms, PLCs, and robotic systems, allowing for virtual testing and validation. Key results demonstrate the effectiveness of the proposed system in optimizing automation, reducing defects, and increasing overall production efficiency. We also validate the framework through case studies in robotic assembly lines, illustrating the practical challenges and benefits of this approach. This paper concludes with a discussion on future research directions, including the potential for machine learning integration and advanced optimization techniques to further enhance the capabilities of such systems.
@artical{e1382024ijcatr13081018,
Title = "Integrating MATLAB Image Processing with PLC-Based Automation Systems for Enhanced Process Control in Robotic Manufacturing Environments",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "13",
Issue ="8",
Pages ="189 - 211",
Year = "2024",
Authors ="Engr. Joseph Nnaemeka, Ayokunle J. Abisola, Temitope Oluwatobi Bakare, Olanrewaju Damilare Moses, Andrew Nil Anang"}
  • Integration of MATLAB's image processing with PLCs enhances real-time defect detection and quality control.
  • A simulation environment models interactions between image processing, PLCs, and robotic systems.
  • The proposed system optimizes automation, reduces defects, and increases the production efficiency.
  • Case studies validate the framework in robotic assembly lines, showcasing practical challenges and benefits.
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