Abstract
Because traditional keyboard quality manual inspection is inefficient and low reliability for subjectivity, machine vision based automated inspection system was developed. Keyboards fine difference in position and rotation angles existing in captured images influenced image matching. Hough transform was applied to detect the edges of keyboards for their image calibration. Many small image templates for each key and a global template for entire keyboard were set up for automated inspecting character printing quality with moderate difference sufferance. Two CCD cameras were used for image capturing to deal with keyboard big area and software was developed on HexSight Image Kit. Experimental results showed that keyboard quality can be effectively inspected with better performance.
Publisher
Trans Tech Publications, Ltd.
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