Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Fuzzy Systems and Control (JFSC)
Thai-Hiep Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE)
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Study of a Laser Engraving System Based on a Cartesian Robot with Image Processing Thai-Duong Hoang; Manh-Dung Nguyen; Chi-Phat Pham; Thi-Ngoc-Thao Nguyen; Tan-Phat Nguyen; Anh-Son Tran; Quang-Thuan Le; Phuoc-Thinh Dang; Thai-Hiep Nguyen; Quang-Tung Trinh; Hoai-Bao-Nhan Nguyen; Huu-Nhan Nguyen; Thanh-Binh Nguyen
Journal of Fuzzy Systems and Control Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i1.361

Abstract

Traditional CNC laser engraving systems often face limitations in flexibility, requiring manual alignment and pre-defined G-code files. This paper proposes an advanced automated laser engraving system based on a 3-axis Cartesian robot that bridges the gap between industrial control reliability and modern computer vision. The core novelty of this research lies in the seamless integration of a Mitsubishi Q03UDE Programmable Logic Controller (PLC) with a Python-based image processing framework. By utilizing the OpenCV library for real-time edge detection and trajectory generation, the system can autonomously identify object positions and convert complex patterns into precise motion commands. Communication is established via the MC Protocol over Ethernet, ensuring high-speed data synchronization between the vision system and the servo-driven hardware. Experimental results demonstrate that the proposed system achieves high precision in engraving, significantly reduces setup time by eliminating manual calibration, and maintains the robust stability required for industrial environments. This approach provides a scalable solution for intelligent manufacturing and personalized production.
Co-Authors Anh-Son Tran Chi-Phat Pham Hoai-Bao-Nhan Nguyen Huu-Nhan Nguyen Manh-Dung Nguyen Phuoc-Thinh Dang Quang-Thuan Le Quang-Tung Trinh Tan-Phat Nguyen Thai-Duong Hoang Thanh-Binh Nguyen Thi-Ngoc-Thao Nguyen