Intelligent vision testing and training correcting system based on cloud computing

A technology of vision detection and cloud computing, which is applied in the Internet and medical fields, can solve the problems of high surgical risk, temporary effect, temporary cure, etc., and achieve the effect of enhancing comfort, improving accuracy and optimizing process

Inactive Publication Date: 2019-02-15
侯尧珍
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that it is still difficult to achieve intelligence and remote control in visual training
[0007] In today's vision protection industry, the existing technologies mainly include the following types, such as instruments, medicines, acupuncture, massage, qigong, eye patches, etc. Most of their functions and characteristics do not start from the root of myopia, but from the root cause of myopia. It can relieve and assist the surface, treat the symptoms but not the root cause, and has little effect on the myopia of adults; laser myopia correction surgery is to shape the human cornea into the shape of a contact lens for correction, and there are obvious sequelae and vision loss. The probability of rebound is high, the probability of dry eye is high, and the risk of surgery is high; wearing glasses for correction will lead to more and more dependence of the eyes on the glasses, and gradually lose the original adjustment function of the eyes, resulting in deeper prescription of the glasses; Chinese medicine or Massage physiotherapy equipment, etc., can treat myopia by treating the symptoms but not the root cause, the effect is temporary, and the rebound is obvious; the defect of orthokeratology lens: it causes different degrees of damage to the cornea, etc.

Method used

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  • Intelligent vision testing and training correcting system based on cloud computing

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Embodiment Construction

[0040] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0041] An embodiment of the present invention provides an intelligent vision detection and training correction system based on cloud computing. The system involves a detection terminal computer and a cloud server; wherein the detection terminal computer is provided with a camera, a fingerprint input device, a voice input device, etc.; the following Description with reference to the accompanying drawings.

[0042] refer to figure 1...

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Abstract

The invention relates to an intelligent vision testing and training correcting system based on cloud computing. The system comprises an identity verifying module, a test information display module, alogic judgement module and a cloud-end data management module; the system utilizes identity information verification for strengthening high relevance between vision test data and identity informationof a testee based on the cloud computing technology, the characteristic of preventing identity cheating is achieved, and the vision test data is uploaded to a cloud end in real time for analyzing, processing and feedback. An intelligent vision test algorithm and a vision training algorithm have the self-learning function and can also compare and learn big data in the cloud end, the constantly optimized algorithms overcome the defects that a traditional vision test is complex in process and low in efficiency, the process of a vision test is optimized, the comfort of the testee in the testing process is enhanced, and the test accuracy is improved.

Description

technical field [0001] The invention relates to the fields of medical treatment and Internet technology, in particular to an intelligent vision detection and training correction system based on cloud computing. 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 kind of exercise has enough light intensity, not too bright or too dark; at the same time, the line marked 1.0 on the vision test form should be at the same height as the line of sight of the subject's eye, and the height difference should not be too large, so it needs to be adjusted according to the height of the subject. Adjust the position of the eye chart. In ad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B3/032A61H5/00
CPCA61B3/032A61H5/00
Inventor 侯尧珍邹先林鲁旭刘玥彤
Owner 侯尧珍
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