Published July 24, 2024
| Version v1
Journal article
Open
Improvement of SUSAN Image Filtering Method for PCB Quality Inspection
Creators
- 1. Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
- 2. Senior Developer Electronic Health Solution, Amman, Jordan
Description
This paper presents an improvement to the SUSAN image filtering method to improve the quality inspection accuracy of printed circuit boards (PCBs). The problems of traditional filtering methods are considered and improvements are proposed aimed at more effectively removing noise and increasing the reliability of defect detection. The experiments confirm that the modernized SUSAN method provides higher image quality, which is critical for computer vision systems in Industry 4.0. Application of the proposed approach helps reduce defect rates and optimize production processes, improving the overall productivity and reliability of PCB quality control
Files
106-116 Vladyslav Yevsieiev .pdf
Files
(3.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:073c0d33ac54872fa216dc026405ec20
|
3.9 MB | Preview Download |
Additional details
References
- 1. Lyashenko. V., & et al. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.
- 2. Nevliudov, I., & et al. (2020). Monitoring System Development for Equipment s
- 3. Maksymova, S., & et al. (2024). The Monitoring System Architecture Development. Journal of Universal Science Research 2 (1), 69-79.
- 4. Nevliudov, I., & et al. (2020). Development of an Architecturallogical Model to Automate the Management of the Process of Creating Complex Cyberphysical Industrial Systems. Восточно-Европейский журнал передовых технологий, 4(3-106), 44-52.
- 5. Bondariev, A., & et al. (2023). Automated Monitoring System Development for Equipment Modernization. Journal of Universal Science Research, 1(11), 6-16.
- 6. Невлюдов, І. Ш., & et al. (2023). Моделі та методи кіберфізичних виробничих систем в концепції Industry 4.0. Oktan Print, Prague, 321.
- 7. Євсєєв, В., & et al. (2020). Технологія процесу керування розробкою кіберфізичних виробничих систем, ВЧЕНІ ЗАПИСКИ, 2020.
- 8. Nevliudov, I., Yevsieiev, V., Lyashenko, V., & Ahmad, M. A. (2021). GUI Elements and Windows Form Formalization Parameters and Events Method to Automate the Process of Additive Cyber-Design CPPS Development. Advances in Dynamical Systems and Applications, 16(2), 441-455.
- 9. Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.
- 10. Al-Sharo Y., & et al. (2023). A Robo-hand prototype design grippingdevice within the framework of sustainable development. Indian Journal of Engineering, 20, e37ije1673.