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Online Inspection of Printed Circuit Board Using Machine Vision

S.Sridevi, G.Muralidharan, C.Nandha kumar

Discrete wired connections can be reduced in size into printed circuit board (PCB). PCB manufacturing involves various steps such as patterning, etching, drilling, masking and legend printing. During the manufacturing process of PCB hardware, the short circuits between tracks and pads, discontinuity of track and various defects may occur. This paper presents a novel technique for identification of such defects using machine vision and image processing techniques. This system reduces the time of inspection and increases the accuracy, even though the image scale varies with respect to the reference image. The constant stand of distance between the camera and PCB need not be maintained. The result of applying this technique into PCB layout and real images are shown.