Development of the Machine Vision System for Automated Inspection of Printed Circuit Board Assembl

Due to the present, there are many automated optical inspection solutions for printed circuit board assembly inspection using in various companies but most of the solutions are high cost, large-size, limited function, etc., Also, the detection of defected sizes on the printed circuit board assembly has been decreasingly in sizes, i.e., micro-sizes. Such this size is getting difficult to detect by existing automated optical inspection solutions. Therefore, this research has been proposed to create an automated optical inspection system for detecting micro-size defects. The system application consists of LabVIEW programming with OpenCV Library in a kind of server connection between the Raspberry Pi board and the USB microscope camera. Thus, the system of the machine vision is conducted based on the algorithm design for automated monitoring on the leakage of copper along the edges of the printed circuit board assembly. The primary result presents the creation of the system prototype that can inspect the micro-size defects of the printed circuit board in real time monitoring and operations. Nevertheless, the purposed system is suitable for laboratory-scale testing only, the system application for automated manufacturing has been purposed and developed, and will be presented in the separate paper.