Printed circuit boards are used in electronic devices such as digital cameras, computers, etc. With time, many components are being added to the printed circuit board, and hence the density of members and the manufacturing tolerance is also increasing. This has resulted in the increased demand for inspection techniques as well. One such requirement is 100% inspection. The inspection technique should be quick and complete the inspection process as fast as possible. The main objective of inspecting the printed circuit board is to assess defects, cracks, missing components, etc. An attempt has been made in the present research work to set printed circuit boards using a vision system. The method not only does the classification of PCB into known defect classes but also locates the position of the defect and measures the associated dimensions. The method is quick and finds application in the 100% inspection of printed circuit boards.