CN114305316A - Vision detection method and system, vision detection all-in-one machine and storage medium - Google Patents
Vision detection method and system, vision detection all-in-one machine and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of intelligent image processing, in particular to a vision detection method, a system, a vision detection all-in-one machine and a storage medium, aiming at solving the problems of low efficiency caused by adopting a paper standard logarithmic visual chart to judge the vision of a detected person in the prior art, and the technical scheme is a vision detection method which comprises the steps of obtaining identity information of the detected person; randomly highlighting the test icons in the preset test icon library step by step based on a preset vision detection rule; acquiring direction indicating information of the tested person, and judging the indicating direction of the tested person based on the direction indicating information; when the indication direction is not consistent with the indication direction corresponding to the test icon, the highlighting of the test icon is terminated; the output is surveyed person's visual detection result, the visual detection result is the visual value of preceding one-level when test icon highlight termination, and this application has the effect that improves visual detection work's efficiency.
Description
Technical Field
The application relates to the technical field of intelligent image processing, in particular to a vision detection method, a vision detection system, a vision detection all-in-one machine and a storage medium.
Background
The eyesight refers to the ability of the retina to distinguish images, and the quality of the eyesight is closely related to the work, life and other aspects of people, so the eyesight protection work of teenagers has very important significance. With the development of eyesight protection work of teenagers, eyesight detection becomes an important part in the promotion of eyesight protection work.
At present, a common vision testing method is to set a paper standard logarithmic visual chart at a certain distance from a testee, judge whether the testee can see the test icon clearly by judging whether the directional indication of the testee to the test icon on the visual chart is correct, and finally judge the vision of the testee according to the vision grade of the test icon.
In the process of implementing the present application, the inventors found that the above-mentioned technology has at least the following problems:
the vision of the tested person is judged by adopting a paper standard logarithmic visual chart, related workers are required to perform the work of indicating, confirming the result, recording and the like, and the efficiency is low when large-scale detection is performed.
Disclosure of Invention
In order to improve the efficiency of vision detection work, the application provides a vision detection method, a vision detection system, a vision detection all-in-one machine and a storage medium.
In a first aspect, the present application provides a vision testing method, which adopts the following technical scheme:
a method of vision testing, the method comprising the steps of:
acquiring identity information of a tested person;
randomly highlighting test icons in a preset test icon library step by step based on a preset vision detection rule, wherein at least one group of test icons corresponding to each level of vision value is stored in the test icon library;
acquiring direction indicating information of the tested person, and judging the indicating direction of the tested person based on the direction indicating information;
when the indication direction is not consistent with the indication direction corresponding to the test icon, the highlighting of the test icon is terminated;
and outputting the vision detection result of the testee, wherein the vision detection result is the vision value of the previous stage when the test icon is highlighted and displayed.
Through adopting above-mentioned technical scheme, can acquire the identity information who is surveyed the person automatically, replaced and registered by the manual work, help improving the efficiency of visual acuity test work, help reducing the possibility of information error simultaneously, the discernment of testing the icon automatically helps replacing staff's manual instruction, the artifical participation degree in the visual acuity test process has been reduced, automation has been realized, visual acuity test intellectuality, judge the direction of instruction of being surveyed the person by direction instruction information at last, the intelligent degree of visual acuity test has been improved, detection efficiency has been improved.
In a specific implementation manner, the acquiring identity information of the tested person includes:
acquiring identity information actively input by a tested person;
and/or;
the method comprises the steps of obtaining an image of a tested person, extracting face identification data in the image of the tested person, and matching identity information of the tested person in a preset tested person database based on the face identification data.
By adopting the technical scheme, the information can be actively input by the testee or the identity information of the testee can be automatically acquired by the face recognition technology, which is beneficial to improving the efficiency of the vision detection work.
In a specific implementation manner, the randomly highlighting the test icons in the preset test icon library step by step based on the preset vision detection rule, where at least one group of test icons corresponding to each level of vision value is stored in the test icon library includes:
extracting a preset test icon library, setting the vision value of the tested person as a first vision value, and setting the vision value of which the vision value is one level higher than the first vision value as a second vision value;
and when the number of times that the indication direction of the testee is consistent with the indication direction corresponding to the test icon exceeds a preset grading threshold value, jumping the current second vision value of the testee to the first vision value.
By adopting the technical scheme, the test is carried out for a plurality of times on each vision value until the grading threshold is reached, so that the method is favorable for reducing the contingency in the vision detection process and improving the accuracy of vision detection results.
In a specific implementation manner, the acquiring direction indication information of the measured person, and the determining the indication direction of the measured person based on the direction indication information includes:
acquiring an indication image of the measured person, and identifying the indication direction of the measured person based on a preset gesture recognition algorithm;
and/or;
and acquiring the indication voice of the tested person, and identifying the indication direction of the tested person based on a preset voice recognition algorithm.
By adopting the technical scheme, the indication direction of the testee can be detected in a voice or gesture mode, the application range of vision detection is expanded, and the testee can select the detection method according to the requirement.
In a specific implementation manner, the randomly highlighting the test icon in the preset test icon library step by step includes:
generating a virtual pointer on a display interface;
randomly selecting a preset test icon in the test icon library step by step;
acquiring the interface coordinate of the selected test icon;
based on the interface coordinates, moving the virtual pointer to the interface coordinates.
By adopting the technical scheme, the test icon is indicated through the virtual pointer, the test icon which needs the direction indicated by the testee can be visually displayed to the testee, and the efficiency of vision test can be improved.
In a specific implementation manner, the outputting the vision test result of the testee, after the vision test result is the vision value of the previous stage when the highlighting of the test icon is terminated, further includes: and combining the vision detection result and the identity information of the testee and uploading the combined vision detection result and the identity information to a server.
By adopting the technical scheme, the result of the vision test and the identity information combination of the testee are uploaded to the server, the result of the vision test is automatically stored in the server, manual recording is replaced, the possibility of data error is reduced, and the efficiency of the vision test is improved.
In a second aspect, the present application provides a vision testing system, which adopts the following technical scheme:
a vision testing system, the system comprising:
the identity recognition module is used for acquiring identity information of a tested person;
the icon display module is used for randomly highlighting the test icons in a preset test icon library step by step based on a preset vision detection rule, and at least one group of test icons corresponding to each level of vision value are stored in the test icon library;
the information identification module is used for acquiring the direction indicating information of the tested person and judging the indicating direction of the tested person based on the direction indicating information;
the display termination module is used for terminating the highlighting of the test icon when the indication direction is inconsistent with the indication direction corresponding to the test icon;
and the result output module is used for outputting the vision detection result of the testee, and the vision detection result is the vision value of the previous stage when the highlighting of the test icon is terminated.
Through adopting above-mentioned technical scheme, can acquire the identity information who is surveyed the person automatically, replaced and registered by the manual work, help improving the efficiency of visual acuity test work, help reducing the possibility of information error simultaneously, the discernment of testing the icon automatically helps replacing staff's manual instruction, the artifical participation degree in the visual acuity test process has been reduced, automation has been realized, visual acuity test intellectuality, judge the direction of instruction of being surveyed the person by direction instruction information at last, the intelligent degree of visual acuity test has been improved, detection efficiency has been improved.
The third aspect, the application provides a vision detection all-in-one machine, adopts following technical scheme:
an all-in-one vision testing machine, comprising a processor and a memory, wherein at least one instruction, at least one program, a code set, or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement a vision testing method according to any one of the first aspect.
By adopting the technical scheme, the processor in the vision detection all-in-one machine can realize the vision detection method according to the related computer program stored in the memory, so that the efficiency of vision detection work is improved.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement a vision detection method as claimed in any one of the first aspect.
By adopting the technical scheme, corresponding programs can be stored, and the efficiency of vision detection work is further improved.
In summary, the present application includes at least one of the following beneficial technical effects:
the identity information of the testee can be automatically acquired, manual registration is replaced, the efficiency of vision detection work is improved, the possibility of information error is reduced, manual indication of workers is replaced by automatic identification of the test icon, the degree of manual participation in the vision detection process is reduced, automation and intelligent vision detection are realized, the indication direction of the testee is judged by direction indication information, the intelligent degree of the vision detection is improved, and the detection efficiency is improved;
the indication direction of the tested person can be detected in a voice or gesture mode, so that the application range of vision detection is expanded, and the tested person can select a detection method according to needs;
the result of the vision detection and the identity information of the person to be detected are combined and uploaded to the server, the result of the vision detection is stored in the server automatically, manual recording is replaced, the possibility of data error is reduced, and the efficiency of the vision detection is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of a vision testing system shown in an embodiment of the present application;
FIG. 2 is a method flow diagram of a method of vision testing shown in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an integrated vision testing machine shown in the embodiment of the present application.
Description of reference numerals: 1. an identity recognition module; 2. an icon display module; 3. an information identification module; 4. a display termination module; 5. and a result output module.
Detailed Description
The present embodiments are only illustrative and not restrictive, and those skilled in the art can make modifications to the embodiments without inventive contribution as required after reading the present specification, but the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to fig. 1 to 3 of the embodiments of the present application as long as they are protected by patent laws within the scope of the claims of the present application to make the objects, technical solutions and advantages of the embodiments of the present application clearer, and it is obvious that the described embodiments are a part of the embodiments of the present application, but not all of the embodiments.
The embodiment of the application provides a vision detection method, which can be applied to a vision detection all-in-one machine, wherein an execution main body can be a processor of the vision detection all-in-one machine and is realized by the assistance of other functional modules assembled on the vision detection all-in-one machine, and the other functional modules can comprise a display, a data input module, an image acquisition module, a voice acquisition module and the like.
The process flow shown in fig. 1 will be described in detail below with reference to specific embodiments, and the contents may be as follows:
In implementation, in order to connect the result of the vision test with the testee, before starting to test the vision, the vision testing integrated machine may first acquire the identity information of the testee, where the identity information of the testee is used to identify the identity of the testee, and may be a name or a certificate number.
In one embodiment, to improve the efficiency of identity information recording, step 101 may include the following processes: the method comprises the steps of obtaining identity information actively input by a tested person and/or obtaining an image of the tested person, extracting face identification data in the image of the tested person, and matching the identity information of the tested person in a preset tested person database based on the face identification data.
In the implementation, the testee can input the identity information through the data input module on the vision detection all-in-one machine, and the data input module enables the vision detection all-in-one machine to obtain the identity information of the testee. In addition, the image acquisition module on the vision detection all-in-one machine can shoot the image of the tested person during testing, after the image of the tested person is acquired, the image of the tested person can be subjected to image recognition, face recognition data in the image of the tested person is further extracted, and finally the face recognition data can be matched with data in a preset tested person database to obtain identity information of the tested person.
Therefore, the testee can actively input information or automatically acquire the identity information of the testee by the face recognition technology, and the efficiency of vision detection work is improved.
And 102, randomly highlighting the test icons in the preset test icon library step by step based on a preset vision detection rule.
At least one group of test icons corresponding to all levels of visual force values are stored in the test icon library.
In implementation, the preset vision detection rule can be detected step by step, and the test icons in the preset test icon library can be sequentially indicated to the testee step by step according to the sequence of the vision value from low to high, so that the testee can gradually approach the real vision value of the testee through the detection process of the difficulty from low to high.
In addition, at least one group of test icons corresponding to the visual force values of each level may be stored in the preset test icon library, and the test icons may be different, for example: the letter "E" or the letter "C" may be selected, as well as other coincidences, but the test icons are all used to indicate four directions, "up", "down", "left", and "right".
In one embodiment, there may be contingencies in the process of vision testing, which may result in erroneous vision testing results, and accordingly, step 102 may include the following steps: extracting a preset test icon library, setting the vision value of the tested person as a first vision value, and setting the vision value of which the vision value is one level higher than the first vision value as a second vision value; and when the number of times that the indication direction of the testee is consistent with the indication direction corresponding to the test icon exceeds a preset grading threshold value, jumping the current second vision value of the testee to the first vision value.
In practice, the above process may be understood as a loop-executed, progressive vision testing algorithm, progressing from low vision values to high vision values. Meanwhile, the vision detection all-in-one machine can be provided with a certain grading threshold value, and the grading threshold value represents the number of times that the indication direction of the tested person is correct, so that the grading threshold value is an integer and can be set to be 3, 4, 5 or other integers. It will be appreciated that the higher the rating threshold, the higher the accuracy of the vision test.
Like this, the vision detection all-in-one can test many times on every vision value, until reaching the threshold value of upgrading, help reducing the contingency among the vision testing process, help improving the accuracy of vision testing result.
In one embodiment, to visually illustrate the location of the test icon, step 102 may include the following processes: generating a virtual pointer on a display interface; randomly selecting a preset test icon in the test icon library step by step; acquiring the interface coordinate of the selected test icon; based on the interface coordinates, moving the virtual pointer to the interface coordinates.
Like this, the visual detection all-in-one can instruct the test icon through virtual pointer, helps showing the test icon that needs the testee direction to the testee directly perceivedly, helps improving the efficiency of visual test.
And 103, acquiring the direction indicating information of the tested person, and judging the indicating direction of the tested person based on the direction indicating information.
In implementation, after the vision detection all-in-one machine acquires the direction indication information of the testee, the indication direction answered by the testee can be acquired, and whether the testee can see the test icon clearly can be judged according to the indication direction.
In one embodiment, the vision testing may occur in different scenarios, and accordingly, step 103 may include the following processes: acquiring an indication image of the measured person, identifying the indication direction of the measured person and/or acquiring the indication voice of the measured person based on a preset gesture recognition algorithm, and identifying the indication direction of the measured person based on a preset voice recognition algorithm.
In implementation, the vision testing all-in-one machine may call an existing gesture recognition algorithm, analyze an obtained indication image, and obtain an indication direction of a tested person, where a result of the gesture recognition algorithm may be limited, for example, in a specific direction interval, an output result is "up"; in another specific directional interval, the output result is "down". In addition, the vision testing integrated machine can also call a voice recognition algorithm to recognize the indication direction of the tested person through voice response.
Therefore, the vision detection all-in-one machine can detect the indication direction of the testee in a voice or gesture mode, the application range of vision detection is expanded, and the testee can select a detection method according to needs.
And 104, when the indication direction is not consistent with the indication direction corresponding to the test icon, terminating the highlighting of the test icon.
And 105, outputting the vision detection result of the testee, wherein the vision detection result is the vision value of the previous stage when the highlighting of the test icon is terminated.
In implementation, when the indication direction returned by the testee is not consistent with the direction of the test icon, the testee can be judged to be unable to see the test icon clearly, and then the previous level visual force value of the current test icon pair can be used as the visual test result of the testee. The final test result is the vision value of the tested person.
In one embodiment, manual recording and unification are prone to errors, and accordingly, the following process may be included after step 105: and combining the vision detection result and the identity information of the testee and uploading the combined vision detection result and the identity information to a server.
Therefore, the vision detection result and the identity information of the testee are combined and uploaded to the server, the vision detection result can be automatically stored in the server, manual recording is replaced, the possibility of data error is reduced, and the vision detection efficiency is improved.
Based on the same technical concept, the embodiment of the invention also provides a vision detection system, which comprises:
the identity recognition module 1 is used for acquiring identity information of a tested person;
the icon display module 2 is used for randomly highlighting the test icons in a preset test icon library step by step based on a preset vision detection rule, and at least one group of test icons corresponding to each level of vision value are stored in the test icon library;
the information identification module 3 is used for acquiring the direction indication information of the tested person and judging the indication direction of the tested person based on the direction indication information;
the display termination module 4 is used for terminating the highlighting of the test icon when the indication direction is inconsistent with the indication direction corresponding to the test icon;
and the result output module 5 is used for outputting the vision detection result of the testee, wherein the vision detection result is the vision value of the previous stage when the highlighting of the test icon is terminated.
In one embodiment, the identity module 1 further comprises:
the passive acquisition submodule is used for acquiring the identity information actively input by the tested person;
and/or;
and the active acquisition sub-module is used for acquiring an image of the tested person, extracting the face identification data in the image of the tested person and matching the identity information of the tested person in a preset tested person database based on the face identification data.
In one embodiment, the icon display module 2 further includes:
the grade setting submodule is used for extracting a preset test icon library, setting the vision value of the tested person as a first vision value, and setting the vision value of which the vision value is one grade higher than the first vision value as a second vision value;
and the grade jump submodule is used for jumping the current second vision value of the tested person into the first vision value when the frequency that the indication direction of the tested person is consistent with the indication direction corresponding to the test icon exceeds a preset grade-up threshold value.
In one embodiment, information identification module 3 includes:
the gesture recognition submodule is used for acquiring an indication image of the measured person and recognizing the indication direction of the measured person based on a preset gesture recognition algorithm;
and/or;
and the image recognition submodule is used for acquiring the indication voice of the tested person and recognizing the indication direction of the tested person based on a preset voice recognition algorithm.
In one embodiment, the icon display module 2 includes:
the virtual pointer submodule is used for generating a virtual pointer on a display interface;
the icon selection submodule is used for randomly selecting the preset test icons in the test icon library step by step;
the coordinate acquisition submodule is used for acquiring the interface coordinate of the selected test icon;
and the pointer indication submodule is used for moving the virtual pointer to the interface coordinate position based on the interface coordinate.
In one embodiment, the vision testing system further comprises:
and the uploading module is used for combining the vision detection result and the identity information of the testee and uploading the combined vision detection result and the identity information to a server.
The embodiment of the application further discloses an all-in-one vision test machine, the all-in-one vision test machine comprises a memory, a processor, a camera and a display screen, and a computer program which can be loaded by the processor and can execute the vision test method is stored in the memory.
Based on the same technical concept, the embodiment of the present application further discloses a computer-readable storage medium, which includes various steps that can be loaded and executed by a processor to implement the above-mentioned vision testing method flow.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is obvious to those skilled in the art that, for convenience and simplicity of description, only the division of the functional modules is illustrated, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. With this understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present application, and should not be construed as limiting the present application. Those skilled in the art should also appreciate that various modifications and substitutions can be made without departing from the scope of the present disclosure.
Claims (9)
1. A method of vision testing, the method comprising the steps of:
acquiring identity information of a tested person;
randomly highlighting test icons in a preset test icon library step by step based on a preset vision detection rule, wherein at least one group of test icons corresponding to each level of vision value is stored in the test icon library;
acquiring direction indicating information of the tested person, and judging the indicating direction of the tested person based on the direction indicating information;
when the indication direction is not consistent with the indication direction corresponding to the test icon, the highlighting of the test icon is terminated;
and outputting the vision detection result of the testee, wherein the vision detection result is the vision value of the previous stage when the test icon is highlighted and displayed.
2. A vision testing method according to claim 1, wherein: the acquiring identity information of the tested person comprises the following steps:
acquiring identity information actively input by a tested person;
and/or;
the method comprises the steps of obtaining an image of a tested person, extracting face identification data in the image of the tested person, and matching identity information of the tested person in a preset tested person database based on the face identification data.
3. A vision testing method according to claim 1, wherein: based on preset vision detection rules, the test icons in a preset test icon library are highlighted randomly step by step, and at least one group of test icons corresponding to all levels of vision values are stored in the test icon library and comprise:
extracting a preset test icon library, setting the vision value of the tested person as a first vision value, and setting the vision value of which the vision value is one level higher than the first vision value as a second vision value;
and when the number of times that the indication direction of the testee is consistent with the indication direction corresponding to the test icon exceeds a preset grading threshold value, jumping the current second vision value of the testee to the first vision value.
4. A vision testing method according to claim 1, wherein: the acquiring of the direction indication information of the subject, and the determining of the indication direction of the subject based on the direction indication information includes:
acquiring an indication image of the measured person, and identifying the indication direction of the measured person based on a preset gesture recognition algorithm;
and/or;
and acquiring the indication voice of the tested person, and identifying the indication direction of the tested person based on a preset voice recognition algorithm.
5. A vision testing method according to claim 1, wherein: the step-by-step random highlighting of the test icons in the preset test icon library comprises the following steps:
generating a virtual pointer on a display interface;
randomly selecting a preset test icon in the test icon library step by step;
acquiring the interface coordinate of the selected test icon;
based on the interface coordinates, moving the virtual pointer to the interface coordinates.
6. A vision testing method according to claim 1, wherein: the outputting the vision testing result of the testee, after the vision testing result is the vision value of the previous stage when the test icon is highlighted and terminated, the method further comprises the following steps:
and combining the vision detection result and the identity information of the testee and uploading the combined vision detection result and the identity information to a server.
7. A vision testing system, the system comprising:
the identity recognition module (1) is used for acquiring identity information of a tested person;
the icon display module (2) is used for randomly highlighting the test icons in a preset test icon library step by step based on a preset vision detection rule, and at least one group of test icons corresponding to each level of vision value are stored in the test icon library;
the information identification module (3) is used for acquiring the direction indication information of the tested person and judging the indication direction of the tested person based on the direction indication information;
the display termination module (4) is used for terminating the highlighting of the test icon when the indication direction is inconsistent with the indication direction corresponding to the test icon;
and the result output module (5) is used for outputting the vision detection result of the testee, and the vision detection result is the vision value of the previous stage when the highlighting of the test icon is terminated.
8. A vision testing kiosk comprising a processor and a memory, said memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, said at least one instruction, said at least one program, said set of codes, or said set of instructions being loaded and executed by said processor to implement a vision testing method as claimed in any one of claims 1 to 6.
9. A computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement a vision detection method as claimed in any one of claims 1 to 6.
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| CN117137427A (en) * | 2023-08-31 | 2023-12-01 | 深圳市华弘智谷科技有限公司 | Vision detection method and device based on VR and intelligent glasses |
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| CN117137427A (en) * | 2023-08-31 | 2023-12-01 | 深圳市华弘智谷科技有限公司 | Vision detection method and device based on VR and intelligent glasses |
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