Defects Detection in PCB Using Image Processing for Industrial Applications

A Printed Circuit board (PCB) is used to connect different electronic components mounted on it using pathways or tracks. An automated visual printed circuit board (PCB) inspection is an approach used to counter difficulties that can arise during humans manual inspection. In this approach, We first compare a PCB standard image with a PCB image, using a simple subtraction algorithm that can highlight the main problem-regions. We also see that the outcome of noise in a PCB image that at what level this method is satisfactory to detect the faulty image. Finally, defect classification operation is employed in order to analyze the source for four types of defects namely, missing hole, pin hole, short-circuit, and open- circuit