| Summary: | 碩士 === 崑山科技大學 === 電機工程研究所 === 93 === Printed Circuit Board plays a very important role on electronic information industry. It has been listed as the most important and fundamental industry in many industrialized countries around the world. Although the assembly of the circuit board has been more automatic than it used to be, there are still much inspection work to be done by the inspector with their eyes, which not only wasting time, but also getting inconsistent results due to different judgment of the inspectors or visual tiredness, so that the quality control becomes difficulty.
This paper mainly renders the idea to use the system based on colored computer visual technique instead of manual visual inspection method. The inspection of our system for the circuit board elements such as missing item, wrong item and reversed polarity, etc., has aimed at electric resistor, capacitor and diode. This system first used the basic image processing methods including thresholding, edge detection and thinning, etc., to proceed with auto positioning on circuit board. Then we used the variance and invariant moment to coordinate with Euclidean distance to identify the elements to be inspected. Finally, this thesis used the real circuit board elements to do experiment. The results verified the feasibility and accuracy of the inspection system submitted by this research.
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