Laser Marking Writing Analysis Using a Character Detection Camera to View Marking Results

Authors

  • Rizki Aulia Nanda Mechanical Engineering, Universitas Buana Perjuangan Karawang, Karawang, Indonesia
  • Karyadi Mechanical Engineering, Universitas Buana Perjuangan Karawang, Karawang, Indonesia
  • Dodi Mulyadi Mechanical Engineering, Universitas Buana Perjuangan Karawang, Karawang, Indonesia
  • Agus Supriyanto Mechanical Engineering, Universitas Buana Perjuangan Karawang, Karawang, Indonesia
  • Ade Suhara Industrial Engineering, Universitas Buana Perjuangan Karawang, Karawang, Indonesia
  • Muhammad Nuzan Rizki Mechanical Engineering, Universitas Malikussaleh, Lhokseumawe, Indonesia

DOI:

https://doi.org/10.29103/mjmst.v9i2.24917

Keywords:

SKD-11, Laser Marking, OpenCV

Abstract

Laser marking has become an industrial trend to label a product to avoid problems arising from errors in product placement, labels can also be other markers depending on needs, laser marking can provide good writing prints on steel sheets. However, problems arise due to poor parameter input errors resulting in marking reading results that cannot be read by the scanner machine, this study aims to provide an analysis of the influence of laser marking input variations that can provide good marking quality, to determine the quality of marking, researchers use a Logitech camera assisted by Open CV programming, to see the quality of laser marking results that can be read by the scanner. This research method begins with inputting 6 parameter variations including speed, laser power and laser frequency, then Open CV programming is carried out to obtain image reading quality with color and line recognition, the reading results will automatically display the error level of the study. The results of the study explain the first test with a high error rate due to low input variables so that the reading is not clear, while the error value is 104040 in color recognition and 69024 in lines that are read with a 100% end range. The lowest error value is in the second test with the highest input variable, namely 1309 in black and white color recognition and 1345 in lines with a range of 100%, therefore the sixth test can be read clearly and well.

References

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Published

2025-11-16

How to Cite

Nanda, R. A., Karyadi, Mulyadi, D., Supriyanto, A., Suhara, A., & Rizki, M. N. (2025). Laser Marking Writing Analysis Using a Character Detection Camera to View Marking Results. Malikussaleh Journal of Mechanical Science and Technology, 9(2), 327–332. https://doi.org/10.29103/mjmst.v9i2.24917

Issue

Vol. 9 No. 2 (2025): Malikussaleh Journal of Mechanical Science and Technology (MJMST)

Section

Articles

License

Copyright (c) 2025 Rizki Aulia Nanda, Karyadi, Dodi Mulyadi, Agus Supriyanto, Ade Suhara, Muhammad Nuzan Rizki

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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