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Automated Angle Detection for Industrial Production Lines Using Combined Image Processing Techniques

Pawat Chunhachatrachai1,*, Chyi-Yeu Lin1,2

1 Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan
2 Center for Intelligent Manufacturing Innovation, National Taiwan University of Science and Technology, Taipei, 106, Taiwan

* Corresponding Author: Pawat Chunhachatrachai. Email: email

Intelligent Automation & Soft Computing 2024, 39(4), 599-618. https://doi.org/10.32604/iasc.2024.055385

Abstract

Angle detection is a crucial aspect of industrial automation, ensuring precise alignment and orientation of components in manufacturing processes. Despite the widespread application of computer vision in industrial settings, angle detection remains an underexplored domain, with limited integration into production lines. This paper addresses the need for automated angle detection in industrial environments by presenting a methodology that eliminates training time and higher computation cost on Graphics Processing Unit (GPU) from machine learning in computer vision (e.g., Convolutional Neural Networks (CNN)). Our approach leverages advanced image processing techniques and a strategic combination of algorithms, including contour selection, circle regression, polar warp transformation, and outlier detection, to provide an adaptive solution for angle detection. By configuring the algorithm with a diverse dataset and evaluating its performance across various objects, we demonstrate its efficacy in achieving reliable results, with an average error of only 0.5 degrees. Notably, this error margin is 3.274 times lower than the acceptable threshold. Our study highlights the importance of accurate angle detection in industrial settings and showcases the reliability of our algorithm in accurately determining angles, thus contributing to improved manufacturing processes.

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APA Style
Chunhachatrachai, P., Lin, C. (2024). Automated angle detection for industrial production lines using combined image processing techniques. Intelligent Automation & Soft Computing, 39(4), 599-618. https://doi.org/10.32604/iasc.2024.055385
Vancouver Style
Chunhachatrachai P, Lin C. Automated angle detection for industrial production lines using combined image processing techniques. Intell Automat Soft Comput . 2024;39(4):599-618 https://doi.org/10.32604/iasc.2024.055385
IEEE Style
P. Chunhachatrachai and C. Lin, "Automated Angle Detection for Industrial Production Lines Using Combined Image Processing Techniques," Intell. Automat. Soft Comput. , vol. 39, no. 4, pp. 599-618. 2024. https://doi.org/10.32604/iasc.2024.055385



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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