Application of Machine Vision to Collision Avoidance Control of the Overhead Crane

DOI

10.2991/eame-15.2015.100How to use a DOI?

Keywords

overhead crane; early warning of collision; image processing

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - J.S. Yang
AU  - M.L. Huang
AU  - W.F. Chien
AU  - M.H. Tsai
PY  - 2015/07
DA  - 2015/07
TI  - Application of Machine Vision to Collision Avoidance Control of the Overhead Crane
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 361
EP  - 364
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.100
DO  - 10.2991/eame-15.2015.100
ID  - Yang2015/07
ER  -