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Safety monitoring system for human-machine symbiosis and method using the same

申请公布号:US9333652(B2)

申请号:US201414224476

申请日期:2014.03.25

申请公布日期:2016.05.10

申请人:
INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

发明人:Hu Jhen-Jia;Wang Hau-Wei;Huang Chung-Ning

分类号:G06K9/00;B25J9/16

主分类号:G06K9/00

代理机构:
Muncy, Geissler, Olds & Lowe PC

代理人:Muncy, Geissler, Olds & Lowe PC

地址:Hsinchu TW

摘要:A safety monitoring system for human-machine symbiosis is provided, including a spatial image capturing unit, an image recognition unit, a human-robot-interaction safety monitoring unit, and a process monitoring unit. The spatial image capturing unit, disposed in a working area, acquires at least two skeleton images. The image recognition unit generates at least two spatial gesture images corresponding to the at least two skeleton images, based on information of changes in position of the at least two skeleton images with respect to time. The human-robot-interaction safety monitoring unit generates a gesture distribution based on the at least two spatial gesture images and a safety distance. The process monitoring unit determines whether the gesture distribution meets a safety criterion.

主权项:1. A safety monitoring method for human-machine symbiosis, comprising: a spatial image capturing step for acquiring at least two skeleton images; an image recognition step for generating at least two spatial gesture images corresponding to the at least two skeleton images, based on information of changes in position of the at least two skeleton images with respect to time; a human-robot-interaction safety monitoring step for generating a gesture distribution based on the at least two spatial gesture images and a safety distance; and a process monitoring step for determining whether the gesture distribution meets a safety criterion; wherein the image recognition step comprises: acquiring images for recognizing a human skeleton, a human skeleton dilation region, a robot skeleton, and a robot skeleton dilation region, to generate the at least two spatial gesture images.

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