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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103028


    Title: Application of Machine Vision to Collision Avoidance Control of The Overhead Crane
    Authors: 楊智旭;簡偉凡;黃敏亮;蔡明翰
    Contributors: 淡江大學機械與機電工程學系
    Keywords: overhead crane;early warning of collision;image processing
    Date: 2015-01-16
    Issue Date: 2015-05-14 10:33:06 (UTC+8)
    Abstract: The overhead crane is one of dangerous machines. It may cause personnel injury, or even property damages if any accidents happen in working area. Thus, to ensure safe operation, the load size, route and working environment should be taken into consideration. This study developed a safety alarm device for overhead crane to prevent impacting persons or objects, and used image processing technology to create a video surveillance system. It can track the target object automatically and maintain the preset distance between the warning limit and the hanging object as the hanging object ascends or descends. It can be applied on an overhead crane for early warning on collision and prevention of the hanging object from impacting the workers or other equipments. The distance between the obstacle and hanging object is estimated by using perspective projection, translation of axes and rotation skills, thus ensuring the safety effect.
    Appears in Collections:[機械與機電工程學系暨研究所] 會議論文

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