Vision detection system based on speech recognition

A speech recognition and vision detection technology, applied in speech recognition, speech analysis, transmission system, etc., can solve problems such as low efficiency, decline, and difficulty in causing young students to have vision health problems

Inactive Publication Date: 2017-01-25
ANHUI XINHUA MEDIA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing vision detectors generally use the student's class number or student number as the basic verification password, which is not safe and efficient
In addition, it is difficult to avoid other people's "replacement inspection", which will cause young students to ignore the problem of vision loss in the long ru

Method used

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  • Vision detection system based on speech recognition

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Embodiment Construction

[0021] The content of the present invention will be described below in conjunction with specific embodiments.

[0022] Such as figure 1 Shown is a vision detection system based on speech recognition according to the present invention, including a speech recognizer and a vision detector; the speech recognizer is connected to the vision detector;

[0023] The speech recognizer comprises a speech input unit, a speech recognition unit, a first storage unit, a first communication unit and a control unit; the speech input unit is used for speech input; the speech recognition unit is connected with the speech input unit for The voice information of the recognition voice input unit; the first storage unit stores the first voice information of the subject’s identity and the second voice information corresponding to the vision detection symbol; the control unit is connected with the first storage unit, voice recognition The unit is connected to the first communication unit, and is used...

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PUM

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Abstract

The invention relates to a vision detection system based on voice recognition, comprising a voice recognizer and a vision detector; the voice recognizer is connected to the vision detector; the voice recognizer includes a voice input unit, a voice recognition unit, a first memory unit, a first communication unit and a control unit; the vision detector includes a second storage unit, a second communication unit, a display unit and a central processing unit. The invention relates to a vision detection system based on speech recognition, which can effectively identify the identity of the subject, and the identification is accurate, safe and efficient, and the form is novel and lively, which can arouse students' interest, impress young students, and make them more Effectively publicize vision health knowledge; the vision testing process can be completed by only one person, the form is novel, the accuracy is high, the process takes a short time, saves testing time, and can achieve efficient testing of vision.

Description

technical field [0001] The invention relates to the field of vision detection, in particular to a vision detection system based on speech recognition. Background technique [0002] Human visual functions include: shape perception, light perception, color perception, and depth perception. Vision is a quantitative indicator of shape perception, which refers to the ability and degree of human eyes to recognize the shape of objects. The problem of vision health of teenagers has attracted the attention of the whole society. According to the new concept of preventive medicine and international optometry, in order to solve the problem of vision health of teenagers, only by establishing vision health files, dynamic monitoring, and preventing the incipient development, can early detection and diagnosis of low vision be possible. , Early intervention. The focus of testing for children before school zero is amblyopia and strabismus, while the focus of testing for young students is my...

Claims

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Application Information

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IPC IPC(8): A61B3/032G10L15/22H04L29/08
CPCA61B3/032A61B3/0016A61B3/0041G10L15/22H04L67/12
Inventor 田昶武伟葛菲侯俊
Owner ANHUI XINHUA MEDIA
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