Automatic Printed Circuit Board Verification System through Image Processing using LabVIEW

Abstract

A Printed Circuit Board (PCB) fabrication is an essential process in electronic industry as it determines the quality and reliability of circuit boards. However, manual inspection of the PCBs can be time-consuming and prone to human error. In this paper, we propose an automatic PCB verification system through image processing using LABVIEW NI vision software. The proposed system can identify defects in the PCBs such as pinholes, breaks, and short circuits using machine vision, and provides an accurate and efficient flow of PCBs through the manufacturing process. The image processing techniques used in this system include filtration, histogram equalization, edge detection, and pattern recognition. The experiments conducted have shown that the proposed system can achieve an accuracy rate of 98.7%, which is significantly higher than that of manual inspection.