期刊
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
卷 20, 期 1, 页码 103-109出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/10803548.2014.11077024
关键词
human-machine interaction; neural networks; safety control; vision-based protective devices
This article presents the results of extensive tests of a stereovision safety system performed using real and artificial images. A vision based protective device (VBPD) analyses images from 2 cameras to calculate the position of a worker and moving parts of a machine (e.g., an industrial robot's arm). Experiments show that the stereovision safety system works properly in real time even when subjected to rapid changes in illumination level. Experiments performed with a functional model of an industrial robot indicate that this safety system can be used to detect dangerous situations at workstations equipped with a robot, in human robot cooperation. Computer-generated artificial images of a workplace simplify and accelerate testing procedures, and make it possible to compare the effectiveness of VBPDs and other protective devices at no additional cost.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据