Abstract: Visual inspection systems (VIS) are vital for recognizing and assessing parts in mass-produced products at the fabricating lines. In the past, item review was carried out physically, which made finding imperfections repetitive, moderate, and prone to error. VIS may be a strategy to abbreviate preparing times, boost item quality, and increment fabricating competitiveness. For the reason of reviewing lost components on uncovered printed circuit sheets, a visual inspection framework is required. The assessment assignment has become more challenging to accomplish the specified quality due to the more compact and complex surface of structured electronic components. This study proposes a real-time visual inspection system to assess lost impressions on Printed Circuit Boards (PCB). This system is composed of hardware and software frameworks. The main contribution of this study is the proposed software framework. The software framework consists of components region analysis and missing detection using image processing, cross-correlation, and production rules. Experimental results show the viability and achievability of the proposed system for PCB missing component detection.

Xiaoda Cao, “A Real-Time Automated Visual Inspection System for Printed Circuit Boards Missing Footprints Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 14(5), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140537

@article{Cao2023,
title = {A Real-Time Automated Visual Inspection System for Printed Circuit Boards Missing Footprints Detection},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140537},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140537},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {5},
author = {Xiaoda Cao}
}