| Summary: | 碩士 === 國立中央大學 === 資訊工程學系碩士在職專班 === 94 === Due to the fast development of computer technologies, faster operation speed, larger memory space, and multifunctional software can be easily acquired. It is a trend that in industry that machine vision will play more and more important role in industrial automation. One of the applications in industrial automation is the alignment utilizing computer vision techniques.
In this thesis, a model equipped with vision-guiding automation is built to accomplish the challenging goals of both high quality and low cost outputs. The proposed system is composed of two sub-systems including mechanical alignment and vision identification. In mechanical alignment sub-system, 2-axis servomotors are employed to actuate the X-Y Table. The table will be activated by precise route calculation and compensation. The vision sub-system will capture the image of each plastic embossed cavity of SMD (Surface Mounting Device) packaging carrier via the CCD camera and the illumination source. Then get the initial position by using the image projection profile method. Next, the task of fine search will be accomplished by using the method of NCC (Normalized Cross Correlation) to match the pattern of every target cavity with the original. The compensation value will be obtained and inputted to the mechanical system for final route adjustment. Experimental results demonstrate that the proposed automated vision system can achieve very fast and precise solution when applying to the mechanical alignment problem.
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