JCEEES
Journal of Computer & Electrical and Electronics Engineering Sciences

JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

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Original Article
Real-time laser weld point seam tracking system for robotic welding
Abstract
This paper presents a real-time vision-based laser weld seam tracking system optimized for robotic welding. The core innovation is a computer vision algorithm that processes video data to detect welding points with high precision, achieving an average absolute error of ±0.23 mm, with varying precision for different joint types (butt joint: ±0.63 mm, lap joint: ±0.04 mm, circular lap joint: ±0.02 mm). Integrated into an NVIDIA Jetson Nano, the system demonstrates robust real-time performance, processing video at 30 FPS for 720p resolution. By leveraging HSV color space analysis, morphological operations, and contour detection, the system effectively isolates and tracks laser points under dynamic conditions. Experimental results across butt, lap, and circular lap joints highlight its adaptability, with errors varying due to joint geometry and environmental factors. Comparative analysis shows superior accuracy over existing methods, such as a 0.31 mm error in laser-structured systems. By integrating directly with robotic welding tools, the system enables precise real-time adjustments, reducing human intervention and improving weld quality. This study provides a significant contribution to advancing automated welding technology.

Keywords : Robotics, seam tracking, laser welding, computer vision, real-time processing, Jetson Nano

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Article available in :
Volume 3, Issue 1, 2025
Page : 29-34
https://doi.org/10.51271/JCEEES-0025
Article Information
Received : 10 Mar 2025
Accepted : 08 Nis 2025
Published : 17 Nis 2025
Corresponding Author :

Nuri Furkan Koçak: Department of Electrical and Electronics Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara, Turkiye

[email protected]
Citation : Koçak, N.F., & Saygın, A. (2025). Real-time laser weld point seam tracking system for robotic welding. J Comp Electr Electron Eng Sci, 3(1),29-34.

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