Printed Circuit Board (PCB) is said to be the heart of the electronic automation system. Components of different sizes, shapes are used for assembling the PCB. With the advancements in the technology, complexity of PCBs has also increased and also number of components to be assembled on PCB is also increased. Missing components are to be verified before testing the operation of the system. Wrong component placement may cause complete failure of the system. Proposed system does the automatic inspection of the assembled PCB using image processing techniques. The proposed system uses image pre-processing techniques, image subtraction, and extraction of region properties to find defect in assembled PCB. This system detects multiple missing components as well as wrongly placed components. It provides ease in inspection of assembled PCB and provides accurate results. © 2019 IEEE.