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Vision detection equipment and method based on human skeleton key point recognition

A technology of vision detection and key points, which is applied in the field of vision detection equipment based on key point recognition of human bones, can solve problems such as uninteresting, inability to guarantee the accuracy of results, and no face recognition identity confirmation, so as to avoid deviation, The effect of saving personnel costs and improving fun

Inactive Publication Date: 2020-02-28
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In addition, the traditional visual inspection method also requires the cooperation of personnel, and cannot perform visual inspection in real time
[0003] At present, some independent vision detection software has appeared, but there is no position detection and position adjustment function, nor the function of combining face recognition for identity confirmation, and the accuracy of the results cannot be guaranteed.
It also does not combine exercise and vision testing, which is not interesting

Method used

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  • Vision detection equipment and method based on human skeleton key point recognition
  • Vision detection equipment and method based on human skeleton key point recognition
  • Vision detection equipment and method based on human skeleton key point recognition

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Embodiment Construction

[0049] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation examples. However, it should be noted that implementation of the present invention is not limited to the following embodiments.

[0050] see figure 1 and figure 2 . A vision detection device based on recognition of key points of human bones, the detection device comprising: a server 1 , an embedded system 2 , a display 3 , a sound player 4 and a camera 5 .

[0051] The camera 5 is used to take pictures of the detected person, and output the image signal to the embedded system 2

[0052] The embedded system 2 is provided with: a human skeleton key point recognition module 21, a normalization algorithm module 22, a test position judgment module 23, a vision detection graphic output module 24, an action recognition module 25, a compliance judgment module 26, and a registration module 27 , login module 28 an...

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PUM

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Abstract

The invention discloses vision detection equipment and method based on human skeleton key point recognition. The vision detection equipment based on human skeleton key point recognition comprises a server, an embedded system, a display, a sound player and a camera, the equipment is characterized in that the camera is used for shooting a detected person and outputting an image signal to the embedded system; the embedded system is internally provided with a human skeleton key point identification module which is used for identifying human skeleton key points according to image signals output bythe camera and outputting the identified key point information to a normalization algorithm module and a test position judgment module; the normalization algorithm module is used for carrying out normalization processing according to the human body skeleton key point information output by the human body skeleton key point identification module and outputting data after normalization processing tothe action identification module. The equipment and method can be widely applied to public places such as hospitals, schools and game halls.

Description

technical field [0001] The invention relates to vision detection, in particular to a vision detection device and method based on human skeleton key point recognition. Background technique [0002] The traditional visual inspection is to use the visual inspection chart, the inspector indicates the letter E on the visual chart, and the examinee gestures according to the opening orientation of the letter E he sees. The examiner determines the visual acuity of the subject according to the direction of the opening of the letter E and the direction of the hand gesture. This method must be carried out in a specific environment. In addition, the traditional visual inspection method also requires the cooperation of personnel, and cannot perform visual inspection in real time. [0003] At present, some independent vision detection software has appeared, but there is no position detection and position adjustment function, nor the function of combining face recognition for identity co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00A61B3/00A61B3/032
CPCA61B3/0083A61B3/0033A61B3/032G06V40/20G06V40/10
Inventor 宋鹏云张寅睿周航韩柯杨鹏飞隗征虎帅珂郭子铭刘阳辉彭安金王天冬张俊祎景贯哲
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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