English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51776/87004 (60%)
Visitors : 8383351      Online Users : 118
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    PAPER-ID-116.pdf189KbAdobe PDF263View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback