CN-119344656-B - Vision detection method, system, equipment and medium

CN119344656BCN 119344656 BCN119344656 BCN 119344656BCN-119344656-B

Abstract

The application relates to a vision testing method, a system, equipment and a medium, which belong to the technical field of vision testing, wherein the vision testing method comprises the steps of obtaining identity characteristic information of a subject, determining the type of a vision chart, generating and displaying a corresponding vision chart, sequentially selecting one vision chart image as a test vision chart image according to a preset rule for highlighting, collecting response signals of the subject to each selected test vision chart image until the preset test times are reached, sequentially verifying the response signals of the subject each time according to the correct direction of each selected test vision chart image to obtain a response verification result, obtaining response time corresponding to the response signals of the subject each time and the difficulty of the test vision chart image, and calculating the vision index based on the test vision chart image difficulty, the response verification result and the corresponding response time of each time to obtain the vision testing result of the subject. The application can improve the accuracy of the vision detection result.

Inventors

XIE HONGSHENG
XIA MINGLIANG
LIU ZHIHAO

Assignees

上海雄博精密仪器股份有限公司

Dates

Publication Date: 20260508
Application Date: 20240929

Claims (7)

1. A vision testing method is characterized in that, the vision testing method comprises the following steps: acquiring identity characteristic information of a subject; determining a corresponding vision chart type according to the identity characteristic information; generating and displaying a corresponding visual chart based on the type of the visual chart, wherein the visual chart comprises a plurality of visual chart images with random directions and different sizes; Sequentially selecting one sighting target image as a testing sighting target image according to a preset rule for highlighting, and collecting response signals of the subject to the testing sighting target image selected each time until the preset test times are reached, wherein the response signals comprise gesture response signals or voice response signals; Sequentially verifying response signals of the subjects according to the correct direction of the test optotype image selected each time to obtain response verification results of each test; acquiring response time corresponding to response signals made by the test of the subject each time and test optotype image difficulty of each test; Calculating a vision index based on the difficulty of the test optotype image, the response verification result and the corresponding response time of each test to obtain a vision detection result of the subject; sequentially verifying the response signals of the subjects according to the correct directions of the test optotype images selected each time, and obtaining response verification results of each test comprises the following steps: identifying according to response signals made by the subject each time, and analyzing to obtain corresponding response meanings; respectively judging whether the correct direction of the test optotype image selected each time is consistent with the corresponding response meaning; If the response verification result is consistent, outputting a response verification result which is a correct response; and calculating an eyesight index based on the difficulty of the test optotype image, the response verification result and the corresponding response time of each test, wherein the step of obtaining the eyesight test result of the subject comprises the following steps of: obtaining a test result of each test based on the test optotype image difficulty, the response verification result and the corresponding response time of each test; classifying according to the difficulty of the test optotype image, counting the correct response times and the error response times in the response verification result corresponding to each difficulty category, and determining the correct rate corresponding to each difficulty category; Respectively comparing the accuracy corresponding to each difficulty category with a preset accuracy requirement, and taking the highest difficulty category which meets the preset accuracy requirement as a target difficulty category; obtaining a preliminary vision index range of the subject according to the vision index range corresponding to the target difficulty category; Calculating to obtain average response time according to the response time of each test corresponding to the target difficulty category; calculating a response time ratio according to the average response time and a preset ideal response time, wherein the response time ratio is the ratio of the average response time to the ideal response time and is used for reflecting the degree of the response speed of the subject relative to the ideal state; Calculating a vision index value according to the response time ratio and the preliminary vision index range based on a preset mapping function to obtain a vision detection result of the subject, wherein the mapping function ensures that the vision index is higher when the response time is smaller than the ideal response time, and the vision index is lower when the response time is farther from the ideal response time; The calculation formula of the preset mapping function is as follows: ; In the above formula, f (x) is the vision index value, mid is the intermediate value of the primary vision index range, x is the response time ratio, and min and max are the minimum value and the maximum value of the primary vision index range, respectively.
2. The vision testing method of claim 1, wherein the step of determining the corresponding vision chart type based on the identity information comprises: determining an age group of the subject from the identity information, wherein the age group includes children, adults, and elderly; Based on a preset chart library, determining the corresponding vision chart type according to the age group.
3. A method of vision testing according to any one of claims 1 to 2, further comprising, after the step of obtaining a vision test result for the subject: based on a preset index mapping table, determining an index interval in which the vision index in the vision testing result is positioned, and determining a corresponding vision grade according to the index interval; Judging whether the vision grade is lower than a preset grade threshold value or not; if yes, generating an eye protection suggestion strategy according to the vision grade and sending the eye protection suggestion strategy to a user terminal of the subject.
4. A vision testing system for performing a vision testing method as defined in any one of claims 1 to 3, said vision testing system comprising: the first acquisition module is used for acquiring the identity characteristic information of the subject; the visual chart type determining module is used for determining the corresponding visual chart type according to the identity characteristic information; The visual chart display module is used for generating and displaying a corresponding visual chart based on the visual chart type, wherein the visual chart comprises a plurality of visual chart images with random directions and different sizes; the visual chart display module is also used for sequentially selecting one visual target image as a test visual target image to be highlighted according to a preset rule; The response signal acquisition module is used for acquiring response signals of the test optotype images selected by the testee each time until the preset test times are reached, wherein the response signals comprise gesture response signals or voice response signals; The response verification module is used for sequentially verifying response signals of the subjects according to the correct direction of the test optotype image selected each time to obtain response verification results of each test; the second acquisition module is used for acquiring response time corresponding to a response signal made by each test of the subject and the difficulty of a test optotype image of each test; And the vision testing result generation module is used for calculating a vision index based on the difficulty of the test optotype image, the response verification result and the corresponding response time of each test to obtain the vision testing result of the subject.
5. The vision testing system of claim 4, wherein the testing system further comprises: The vision grade determining module is used for determining an index interval in which the vision index is positioned according to the vision index in the vision test result based on a preset index mapping table, and determining a corresponding vision grade according to the index interval; The judging module is used for judging whether the vision grade is lower than a preset grade threshold value or not, and if so, outputting an abnormal judging result; and the eye protection suggestion module is used for responding to the abnormal judgment result, generating an eye protection suggestion strategy according to the vision grade and sending the eye protection suggestion strategy to the user terminal of the subject.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 3 when the program is executed.
7. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any one of claims 1 to 3.

Description

Vision detection method, system, equipment and medium Technical Field The application relates to the technical field of vision testing, in particular to a vision testing method, a vision testing system, a vision testing device and a vision testing medium. Background Vision is one of the important indicators for measuring the health condition of eyes, and the periodic vision examination is not only helpful for early detection of eye diseases, but also helpful for timely adjustment of the degree of glasses or contact lenses, thereby ensuring vision quality. Visual testing methods are typically performed using standard visual charts (e.g., snellen visual charts) that contain a series of different sized letters or numbers that require the subject to present the characters they recognize. Currently, in the vision testing process, the vision testing chart is a static vision chart, and the test subjects need to report the recognized characters or patterns from top to bottom and from large to small in sequence, so that the vision condition of the test subjects can be determined according to the test results. However, the conventional vision testing method does not take into account the special requirements of different subjects to perform personalized adjustment on the chart, and does not combine multi-dimensional test data to perform comprehensive evaluation on the subjects, so that the testing result is not accurate. Disclosure of Invention In order to improve accuracy of vision testing results, the application provides a vision testing method, a vision testing system, vision testing equipment and a vision testing medium. In a first aspect, the present application provides a vision testing method, which adopts the following technical scheme: a vision testing method, the vision testing method comprising: acquiring identity characteristic information of a subject; determining a corresponding vision chart type according to the identity characteristic information; generating and displaying a corresponding visual chart based on the type of the visual chart, wherein the visual chart comprises a plurality of visual chart images with random directions and different sizes; Sequentially selecting one sighting target image as a testing sighting target image according to a preset rule for highlighting, and collecting response signals of the subject to the testing sighting target image selected each time until the preset test times are reached, wherein the response signals comprise gesture response signals or voice response signals; Sequentially verifying response signals of the subjects according to the correct direction of the test optotype image selected each time to obtain response verification results of each test; And calculating an eyesight index based on the test optotype image difficulty of each test, the response verification result and the corresponding response time to obtain an eyesight detection result of the subject. By adopting the technical scheme, based on the selection of the personalized visual chart, the test of the visual target images with different difficulties, the acquisition and verification of the real-time response signals and the consideration of response time, the special requirements of different subjects can be met, meanwhile, the comprehensive evaluation is carried out through multi-dimensional test data, the accurate evaluation of the vision of the subjects is realized, the scientificity and the reliability of the test result are ensured, the comprehensiveness and the accuracy of the vision evaluation are enhanced, and the powerful support is provided for daily vision health care and professional vision detection. Optionally, the step of determining the corresponding chart type according to the identity information includes: determining an age group of the subject from the identity information, wherein the age group includes children, adults, and elderly; Based on a preset chart library, determining the corresponding vision chart type according to the age group. By adopting the technical scheme, the vision chart is customized according to the specific characteristics of the subject, careful consideration of different crowd demands is reflected, the accuracy and the effectiveness of the vision testing process are ensured, and the user experience of the vision testing system is improved. Optionally, the step of sequentially verifying the response signal of each time made by the subject according to the correct direction of the test optotype image selected each time, to obtain the response verification result of each time test includes: identifying according to response signals made by the subject each time, and analyzing to obtain corresponding response meanings; respectively judging whether the correct direction of the test optotype image selected each time is consistent with the corresponding response meaning; If the response verification result is consistent, outputting a response verificat