Fault Detection of Assembled PCB through Image Processing using LabVIEW

Abstract

Printed Circuit Boards (PCB) plays the important role in the development of electronic devices. PCB provides mechanical support and electrically connects electronic components using conductive tracks. Faults in the PCB may cause the entire system failure. It is necessary to identify the faults in the PCB's before installing to the system. Fault detection of wrong component in the assembled PCB is very important. This is one of the important stages which give the results of PCB processing. There are many techniques are used in fault detection and for missing components in the assembled PCB. In this paper we present the Automated Inspection System for assembled Printed Circuit Board. Automated inspection system implemented using template matching technique to inspect the assembled PCB and to find the missing components. It is very fast and accurate. It detects of any missing components, verify the physical dimension of the component and detailed check sheet extracted. This current work LabVIEW NI vision software has been used to implement PCB inspection.