Vision detection method, optometry system and device, electronic device and medium

Abstract

The invention discloses a vision detection method, an optometry system and device, an electronic device and a medium. The vision detection method is used for a handheld optometry unit and comprises the steps that three-dimensional information of eyes of a user is collected; establishing eye three-dimensional model data according to the eye three-dimensional information; preparing an eye support according to the eye three-dimensional model data; diopter testing is carried out through the eye support and the handheld optometry unit. Thus, in the vision detection process, the eye information of the user can be detected firstly to prepare the customized eye support, and the customized eye support can be perfectly matched and butted with the eyes of the user. In this way, it can be guaranteed that the eyes of the user are located at the focus position of the lens set and fixed accurately, and then the detection precision and experience are improved.

Description

Technical Field

[0001] The present application relates to the technical field of optometrists, and more specifically, to a vision detection method, an optometrists system and device, and an electronic device and medium. Background Art

[0002] At present, most vision tests on the market are conducted in hospitals or optical shops, where consumers undergo vision tests and subsequent glasses wearing by optometrists. In hospitals and optical shops, traditional large-scale optometry equipment is used. The equipment is large in scale and cumbersome to operate. It requires professional optometrists to operate and is difficult to meet daily monitoring needs. Handheld ophthalmometers can provide a quick and convenient way for users to monitor their vision anytime and anywhere without being constrained by the environment, and can be done independently in a simple and easy-to-understand way. However, the milky white silicone eye ring used by the handheld ophthalmometer to fix the human eye is too soft, resulting in the inability to accurately fix the position of the user's eye, causing deviations in the repeatability test results of the same user in multiple tests. At the same time, due to individual differences among users, it is impossible to ensure that everyone's cornea is exactly at the focal position of the lens group when using this universal eye ring. Summary of the invention

[0003] Embodiments of the present application provide a vision detection method, an optometry system and device, and an electronic device and medium.

[0004] The vision detection method of the embodiment of the present application is used for a handheld ophthalmometer, and the vision detection method comprises:

[0005] Collect three-dimensional information of the user's eyes;

[0006] Establishing three-dimensional eye model data according to the three-dimensional eye information;

[0007] preparing an eye tray according to the three-dimensional eye model data;

[0008] The diopter test is performed by using the eye tray and the handheld ophthalmometer.

[0009] In the vision detection method of the embodiment of the present application, the vision detection method is used for a handheld ophthalmometer, and the vision detection method includes collecting three-dimensional information of the user's eyes; establishing three-dimensional eye model data according to the three-dimensional eye information; preparing an eye tray according to the three-dimensional eye model data; and performing a diopter test using the eye tray and the handheld ophthalmometer. In this way, during the vision detection process, the user's eye information can be detected first to prepare a customized eye tray, and the customized eye tray can be perfectly matched with the user's eyes. In this way, it can be ensured that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of the detection.

[0010] In certain embodiments, before preparing the eye tray according to the three-dimensional eye model, the vision detection method further comprises:

[0011] Acquiring relevant structural data of the handheld ophthalmometer;

[0012] The step of preparing the eye tray according to the three-dimensional eye model further comprises:

[0013] The eye tray is prepared according to the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model.

[0014] In this way, the eye rest prepared by the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model can accurately match the handheld ophthalmometer to ensure that the relative positions of the user's eyeball, the eye rest and the handheld ophthalmometer remain unchanged. The prepared eye rest is assembled with the handheld ophthalmometer, and then the user can fit the eye on the eye rest so that the user's eye can be accurately at the focal position of the lens group.

[0015] In some embodiments, the step of preparing the eye tray according to the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model further comprises:

[0016] Coupling the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model data to establish eye support model data;

[0017] The eye tray is prepared according to the eye tray model data.

[0018] In this way, the relevant structural data of the handheld ophthalmometer and the three-dimensional model data of the eye can be coupled to construct a model of the eye rest, and then the eye rest can be prepared according to the model to ensure that the prepared eye rest can accurately match the handheld ophthalmometer and the user, providing the user with a customized solution and improving the user experience.

[0019] In some embodiments, preparing the eye tray according to the eye tray model data further includes:

[0020] The eye tray is prepared by a 3D printer.

[0021] In this way, eye trays can be prepared by 3D printers to ensure that users can do self-eye tests at any time and ensure the accuracy of eye tests. When used by multiple users, eye trays can also be prepared according to the three-dimensional eye model data of different users, and customized solutions can be made to ensure that the eye trays can perfectly fit the eyes of different users, thereby improving the user experience.

[0022] In some embodiments, the collecting of the user's three-dimensional eye information further includes:

[0023] Scan the user's three-dimensional eye information through a 3D scanner.

[0024] In this way, the three-dimensional information of the user's eyes can be scanned by a 3D scanner to ensure that an eye tray that is exactly suitable for the user can be prepared, so that the eye tray can become the user's exclusive eye tray, thereby obtaining a test result with higher optometry accuracy.

[0025] In some embodiments, the three-dimensional eye information includes but is not limited to the size of the user's eye area, the user's orbicularis oculi muscle, the depressions and protrusions around the user's eyes, and the distance from the corner of the eye to the nasal bone.

[0026] In this way, multiple pieces of three-dimensional eye information can be comprehensively selected to ensure that the eye tray prepared by the user can accurately match the eyes and face of the corresponding user, thereby ensuring that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the detection accuracy and experience.

[0027] The optometry detection system of the embodiment of the present application is used to implement any one of the vision detection methods described above, and the optometry detection system includes a 3D scanner, a 3D printer and a handheld optometre, the 3D scanner is used to scan the three-dimensional eye information of the user and transmit the data to the 3D printer, the 3D printer prints the eye tray of the user according to the three-dimensional eye information, and the eye tray is assembled together with the handheld optometre.

[0028] The optometry detection device of the embodiment of the present application is used to implement any one of the vision detection methods described above, and the optometry detection device includes a collection module, an establishment module, a preparation module and a detection module. The collection module is used to collect three-dimensional information of the user's eyes; the establishment module is used to establish three-dimensional eye model data according to the three-dimensional eye information; the preparation module is used to prepare an eye tray according to the three-dimensional eye model data; and the detection module is used to perform a refractive power test using the eye tray and the handheld ophthalmometer.

[0029] The electronic device of an embodiment of the present application includes a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to perform the vision detection method described in any one of the above embodiments.

[0030] An embodiment of the present application provides a readable storage medium storing a computer program. When the computer program is executed by one or more processors, the vision detection method described in any one of the above embodiments is implemented.

[0031] In the vision detection method, optometry system and device, and electronic device and medium of the implementation mode of the present application, the vision detection method is used for a handheld ophthalmometer, and the vision detection method includes collecting three-dimensional information of the user's eyes; establishing three-dimensional eye model data based on the three-dimensional eye information; preparing an eye tray based on the three-dimensional eye model data; and performing a diopter test using the eye tray and the handheld ophthalmometer. In this way, during the vision detection process, the user's eye information can be detected first to prepare a customized eye tray, and the customized eye tray can be perfectly matched and connected with the user's eyes. In this way, it can be ensured that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of the detection.

[0032] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0034] Figure 1 It is a schematic flow chart of a vision detection method according to an embodiment of the present application;

[0035] Figure 2 It is a module schematic diagram of an optometry detection system according to an embodiment of the present application;

[0036] Figure 3 It is a module schematic diagram of an optometry detection device according to an embodiment of the present application;

[0037] Figure 4 is a schematic diagram of a module of an electronic device according to an embodiment of the present application;

[0038] Figure 5 It is another schematic diagram of the process of the vision detection method according to the embodiment of the present application;

[0039] Figure 6 is another schematic flow chart of the vision detection method according to an embodiment of the present application;

[0040] Figure 7 is another schematic flow chart of the vision detection method according to the embodiment of the present application;

[0041] Figure 8 This is another flow chart of the vision detection method according to the embodiment of the present application.

[0042] Description of main component symbols:

[0043] Optometry detection system 100;

[0044] Eye tray 10, 3D scanner 20, 3D printer 30, handheld ophthalmometer 40, optometry detection device 200, collection module 201, establishment module 202, preparation module 203, detection module 204, acquisition module 205, electronic device 300, processor 301, memory 302. DETAILED DESCRIPTION

[0045] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0046] In the present application, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0047] The disclosure below provides many different embodiments or examples to realize the different structures of the present application. In order to simplify the disclosure of the present application, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the present application can repeat reference numbers and / or reference letters in different examples, and this repetition is for the purpose of simplification and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed. In addition, the various specific processes and examples of materials provided in the present application, but those of ordinary skill in the art can be aware of the application of other processes and / or the use of other materials.

[0048] See also Figure 1 and Figure 2 The vision detection method of the embodiment of the present application is used for a handheld ophthalmometer 40, and the vision detection method includes:

[0049] 01. Collect 3D information of the user’s eyes;

[0050] 02. Establish eye 3D model data based on eye 3D information;

[0051] 03. Prepare an eye tray 10 according to the three-dimensional eye model data;

[0052] 04, perform a diopter test using the eye rest 10 and the hand-held ophthalmometer 40.

[0053] See also Figure 3 The optometry detection device 200 of the embodiment of the present application is used to implement the vision detection method of the embodiment of the present application. The optometry detection device 200 includes a collection module 201, an establishment module 202, a preparation module 203 and a detection module 204. The collection module 201 is used to collect the three-dimensional information of the user's eyes; the establishment module 202 is used to establish the three-dimensional model data of the eyes according to the three-dimensional information of the eyes; the preparation module 203 is used to prepare the eye tray 10 according to the three-dimensional model data of the eyes; the detection module 204 is used to perform a refractive power test through the eye tray 10 and the handheld ophthalmometer 40.

[0054] See also Figure 4 The electronic device 300 of the embodiment of the present application includes a processor 301 and a memory 302, wherein the processor 301 is used to execute the computer program stored in the memory 302 to perform the vision detection method of the embodiment of the present application. The processor 301 is used to collect the three-dimensional information of the user's eyes; and to establish the three-dimensional model data of the eyes according to the three-dimensional information of the eyes; and to prepare the eye tray 10 according to the three-dimensional model data of the eyes; and to perform the diopter test through the eye tray 10 and the handheld ophthalmometer 40.

[0055] In the vision detection method of the embodiment of the present application, the vision detection method is used for a handheld ophthalmometer 40, and the vision detection method includes collecting three-dimensional information of the user's eyes; establishing three-dimensional eye model data according to the three-dimensional eye information; preparing an eye tray 10 according to the three-dimensional eye model data; and performing a diopter test using the eye tray 10 and the handheld ophthalmometer 40. In this way, during the vision detection process, the user's eye information can be detected first to prepare a customized eye tray 10, and the customized eye tray 10 can be perfectly matched and connected with the user's eyes. In this way, it can be ensured that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of the detection.

[0056] In the related art, a handheld ophthalmometer can provide a quick and convenient way for users to monitor their vision anytime and anywhere without being restricted by the environment, and can be done independently in a simple and easy-to-understand way. However, the milky white silicone eye ring used by the handheld ophthalmometer to fix the human eye is too soft, resulting in the inability to accurately fix the position of the user's eye, causing deviations in the repeatability test results of the same user in multiple tests. At the same time, due to individual differences among users, when using this universal eye ring, it is impossible to ensure that everyone's cornea is exactly at the focal position of the lens group.

[0057] In the embodiment of the present application, the customized eye rest 10 can be assembled with the handheld ophthalmometer 40 to fix the position of the corresponding human eye, so as to ensure the position determination between the human eye and the various components of the handheld ophthalmometer 40. In this way, the user can perform multiple tests by combining the two, and obtain multiple results through repeatability tests to ensure the detection accuracy of the handheld ophthalmometer 40.

[0058] It is understandable that the layout of eyes and faces of different people is different. If the eye rest 10 adopts a fixed structure, it will cause position deviation when used by different users, thereby causing the accuracy of the handheld ophthalmometer 40 to decrease. The principle of the handheld ophthalmometer 40 requires that the human cornea must be placed at the focal position of the imaging lens group in order to obtain a test result with high accuracy. Due to the individual differences of users, in the process of using this universal eye rest 10, it is impossible to ensure that everyone's cornea is exactly at the focal position of the lens group, which will cause deviations in the test results. The vision detection method in this application can customize the eye rest 10 for different users, and then assemble the eye rest 10 with the handheld ophthalmometer 40 to form a handheld ophthalmometer 40 exclusive to the user, ensuring that the user's cornea must be placed at the focal position of the imaging lens group, thereby improving the accuracy of the detection. The problem of low accuracy and deviation in repeatability when using the handheld ophthalmometer 40 for vision detection is solved, the accuracy of repeated tests of the handheld ophthalmometer 40 is improved, and the reliability and accuracy of the test are enhanced.

[0059] See also Figure 5 In some embodiments, before step 03, the vision detection method further comprises:

[0060] 05, obtaining relevant structural data of the handheld ophthalmometer 40;

[0061] 03, also includes:

[0062] 031, prepare the eye tray 10 according to the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model of the eye.

[0063] In certain embodiments, the optometry detection device 200 of the embodiment of the present application further includes an acquisition module 205, which is used to acquire relevant structural data of the handheld optometre 40; the preparation module 203 is used to prepare the eye tray 10 according to the relevant structural data of the handheld optometre 40 and the three-dimensional model of the eye.

[0064] In some embodiments, the processor 301 is used to obtain relevant structural data of the handheld ophthalmometer 40; and to prepare the eye tray 10 according to the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional eye model.

[0065] In this way, the eye rest 10 prepared by the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional eye model can accurately match the handheld ophthalmometer 40, ensuring that the relative positions of the user's eyeball, the eye rest 10 and the handheld ophthalmometer 40 remain unchanged. The prepared eye rest 10 and the handheld ophthalmometer 40 are assembled together, and then the user can fit the eye on the eye rest 10, so that the user's eye can be accurately at the focal position of the lens group.

[0066] For further information, see Figure 6 In some embodiments, 031 further comprises:

[0067] 0311, coupling the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model data of the eye to establish the model data of the eye tray 10;

[0068] 0312. Prepare the eye tray 10 according to the eye tray 10 model data.

[0069] In some embodiments, the preparation module 203 is used to couple the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model data of the eye to establish the model data of the eye tray 10; and to prepare the eye tray 10 according to the model data of the eye tray 10.

[0070] In some embodiments, the processor 301 is used to couple the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model data of the eye to establish the model data of the eye tray 10; and to prepare the eye tray 10 according to the model data of the eye tray 10.

[0071] In this way, the model of the eye tray 10 can be constructed by coupling the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model data of the eye, and then the eye tray 10 is prepared according to the model to ensure that the prepared eye tray 10 can accurately match the handheld ophthalmometer 40 and the user, providing the user with a customized solution and improving the user experience.

[0072] Specifically, the eye rest 10 needs to cooperate with the handheld ophthalmometer 40 and cooperate with the user's eyes to determine the precise position of the user's eyes and the handheld ophthalmometer 40. Therefore, it is necessary to couple the relevant structural data of the handheld ophthalmometer 40 and the three-dimensional model data of the eye, so that one side of the eye rest 10 can be stably connected to the handheld ophthalmometer 40, and the other side is used to dock the user's eyes. The eye rest 10 prepared by the method of the present application can fit tightly with the user's eyes to ensure that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of detection.

[0073] See also Figure 7 In some embodiments, 0312, further comprising:

[0074] 0313, prepare the eye tray 10 by the 3D printer 30.

[0075] In some embodiments, the preparation module 203 is used to prepare the eye tray 10 by using a 3D printer 30 .

[0076] In some embodiments, the processor 301 is used to prepare the eye tray 10 using the 3D printer 30 .

[0077] In this way, the eye tray 10 can be prepared by the 3D printer 30 to ensure that the user can do the eye test at any time and ensure the accuracy of the eye test. When multiple users use it, the eye tray 10 can also be prepared according to the three-dimensional eye model data of different users, and a customized solution can be provided to ensure that the eye tray 10 can be perfectly matched with the eyes of different users, thereby improving the user experience.

[0078] For further information, see Figure 8 In some embodiments, 01 further comprises:

[0079] 011, scan the three-dimensional information of the user's eyes through the 3D scanner 20.

[0080] In some embodiments, the preparation module 203 is used to scan the three-dimensional information of the user's eyes through the 3D scanner 20 .

[0081] In some embodiments, the processor 301 scans the three-dimensional information of the user's eyes via the 3D scanner 20 .

[0082] In this way, the three-dimensional information of the user's eyes can be scanned by the 3D scanner 20 to ensure that an eye tray 10 that is exactly suitable for the user can be prepared, so that the eye tray 10 can become the user's exclusive eye tray 10, thereby obtaining a test result with higher optometry accuracy.

[0083] Furthermore, in some embodiments, the three-dimensional eye information includes but is not limited to the size of the user's eye area, the user's orbicularis oculi muscle, the depressions and protrusions around the user's eyes, and the distance from the corner of the eye to the nasal bone.

[0084] In this way, multiple three-dimensional eye information can be comprehensively selected to ensure that the eye tray 10 prepared by the user can accurately match the eyes and face of the corresponding user, thereby ensuring that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the detection accuracy and experience.

[0085] Specifically, in the embodiment of the present application, the user needs to first scan his / her eye information through the 3D scanner 20, and then obtain the three-dimensional information of the eye to establish the three-dimensional model data of the eye, and then the processor 301 couples the relevant structural data of the pre-stored handheld ophthalmometer 40 with the three-dimensional model data of the eye, and finally obtains the model data of the eye tray 10. Then, the model data of the eye tray 10 is input into the 3D printer 30, and the eye tray 10 is prepared by the 3D printer 30, and then the final eye tray 10 is obtained. Finally, the user needs to install the eye tray 10 on the handheld ophthalmometer 40, and finally perform the diopter test through the eye tray 10 and the handheld ophthalmometer 40.

[0086] It can be understood that in the implementation mode of the present application, there is no limitation on the three-dimensional information of the eyes. The three-dimensional information of the eyes may include but is not limited to the size of the user's eye area, the user's orbicularis oculi muscle, the depressions and protrusions around the user's eyes, and the distance from the corner of the eye to the nasal bone, etc., to meet various needs.

[0087] See also Figure 2 The optometry detection system 100 of the embodiment of the present application is used to implement any one of the above-mentioned vision detection methods. The optometry detection system 100 includes a 3D scanner 20, a 3D printer 30 and a handheld ophthalmometer 40. The 3D scanner 20 is used to scan the three-dimensional eye information of the user and transmit the data to the 3D printer 30. The 3D printer 30 prints the eye tray 10 of the user according to the three-dimensional eye information. The eye tray 10 is assembled together with the handheld ophthalmometer 40.

[0088] In the optometry detection system 100 of the embodiment of the present application, the vision detection method is used for the handheld ophthalmometer 40, and the vision detection method includes collecting the three-dimensional information of the user's eyes; establishing the three-dimensional model data of the eyes according to the three-dimensional information of the eyes; preparing the eye tray 10 according to the three-dimensional model data of the eyes; and performing the diopter test by the eye tray 10 and the handheld ophthalmometer 40. In this way, in the process of vision detection, the user's eye information can be detected first to prepare a customized eye tray 10, and the customized eye tray 10 can be perfectly matched with the user's eyes. In this way, it can be ensured that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of the detection.

[0089] Specifically, the optometry detection system 100 may include multiple components, namely, a 3D scanner 20, a 3D printer 30 and a handheld optometre 40. In such an embodiment, the eye tray 10 printed by the 3D printer 30 can be assembled with the handheld optometre 40 by itself under the control of the optometry detection system 100, and the user only needs to scan and do an optometry.

[0090] In some embodiments, the optometry detection system 100 can use existing structures as components to form a system to achieve customized detection. Of course, in other embodiments, 3D scanning, 3D printing, and handheld optometry can also be integrated into one device, that is, the optometry detection device 200 of the embodiment of the present application, which is not specifically limited here.

[0091] For example, the eye protection eye rest 10 can be customized according to different users. The user can scan the eye protection ring through a specific APP, activate the 3D scanner scanning function, and use the 3D scanner to remotely scan the user's orbicularis oculi muscle according to the application prompts to obtain a digital model of the user's orbicularis oculi muscle. The model is processed by a digital modeler to output a 3D model of the eye rest 10, and the eye rest 10 is printed using a 3D printer 30. The printing material can be medical soft rubber. In addition, the eye rest 10 can be customized in multiple styles according to different users to meet the needs of multiple users.

[0092] It should be noted that the user's three-dimensional eye data information includes the inclination angle of the eyebrow bone and cheekbone, the size and protrusion of the eye. Based on this information, a basic model of eye features is constructed, which includes the size of the eye area, the depressions and protrusions around the eyes, and the data of the protrusions on the upper part of the eyes and the depressions on the lower part, as well as the distance from the corner of the eye to the nasal bone. Based on this information, a specific three-dimensional eye model is obtained by using face recognition intelligent algorithms and mathematical modeling. After obtaining the eye model, it is necessary to match the eye model with the overall structure of the handheld ophthalmometer 40. The relevant structural data model of the handheld ophthalmometer 40 is brought into the eye model data, and the eye model is integrated and coupled with the model of the ophthalmometer, and the sizes of the two are matched, and the openings are designed. A coupling relationship is established in the model to extend the eye model structure so that its bottom can be installed in the handheld ophthalmometer 40 structure.

[0093] See also Figure 4 An embodiment of the present application provides a readable storage medium storing a computer program. When the computer program is executed by one or more processors 301, the vision detection method of any one of the above embodiments is implemented.

[0094] For example, the computer program may be executed by the processor 301 to complete the vision detection method of the following steps:

[0095] 01. Collect 3D information of the user’s eyes;

[0096] 02. Establish eye 3D model data based on eye 3D information;

[0097] 03. Prepare an eye tray 10 according to the three-dimensional eye model data;

[0098] 04, perform a diopter test using the eye rest 10 and the hand-held ophthalmometer 40.

[0099] In the vision detection method, optometry system and device, and electronic device 300 and medium of the embodiment of the present application, the vision detection method is used for a handheld ophthalmometer 40, and the vision detection method includes collecting three-dimensional information of the user's eyes; establishing three-dimensional eye model data according to the three-dimensional eye information; preparing an eye tray 10 according to the three-dimensional eye model data; and performing a diopter test using the eye tray 10 and the handheld ophthalmometer 40. In this way, during the vision detection process, the user's eye information can be detected first to prepare a customized eye tray 10, and the customized eye tray 10 can be perfectly matched and connected with the user's eyes. In this way, it can be ensured that the user's eyes are at the focal position of the lens group and are accurately fixed, thereby improving the accuracy and experience of the detection.

[0100] The embodiments of the present invention also provide a computer-readable storage medium. One or more non-volatile computer-readable storage media storing a computer program, when the computer program is executed by one or more processors, implement the interactive method of any of the above-mentioned embodiments. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related software through a computer program. The program can be stored in a non-volatile computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only storage memory (ROM), etc.

[0101] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0102] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code that includes one or more executable actions for implementing a specific logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0103] Although the present application has been shown and described above, it can be understood that the above-mentioned embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above-mentioned embodiments within the scope of the present application.

Claims

1. A vision detection method for a handheld ophthalmometer, characterized in that: The vision detection method comprises: Collect three-dimensional information of the user's eyes; Establishing three-dimensional eye model data according to the three-dimensional eye information; preparing an eye tray according to the three-dimensional eye model data; The diopter test is performed by using the eye tray and the handheld ophthalmometer.

2. The method for visual acuity detection according to claim 1, characterized in that: Before preparing the eye tray according to the three-dimensional eye model, the vision detection method further includes: Acquiring relevant structural data of the handheld ophthalmometer; The step of preparing an eye tray according to the three-dimensional eye model further comprises: The eye tray is prepared according to the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model.

3. The method for visual acuity detection according to claim 2, characterized in that: The step of preparing the eye tray according to the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model further includes: Coupling the relevant structural data of the handheld ophthalmometer and the three-dimensional eye model data to establish eye support model data; The eye tray is prepared according to the eye tray model data.

4. The vision detection method according to claim 3, characterized in that: The step of preparing the eye tray according to the eye tray model data further includes: The eye tray is prepared by a 3D printer.

5. The method for visual acuity detection according to claim 4, characterized in that: The collecting of the user's eye three-dimensional information further includes: Scan the user's three-dimensional eye information through a 3D scanner.

6. The method for visual acuity detection according to claim 1, characterized in that: The three-dimensional eye information includes but is not limited to the size of the user's eye area, the user's orbicularis oculi muscle, the depressions and protrusions around the user's eyes, and the distance from the corner of the eye to the nasal bone.

7. An optometry detection system, used to implement the vision detection method according to any one of claims 1 to 6, characterized in that: The optometry detection system includes a 3D scanner, a 3D printer and a handheld optometre. The 3D scanner is used to scan the three-dimensional eye information of the user and transmit the data to the 3D printer. The 3D printer prints the eye tray of the user according to the three-dimensional eye information. The eye tray is assembled together with the handheld optometre.

8. An optometry detection device, used to implement the vision detection method according to any one of claims 1 to 6, characterized in that: The optometry detection device comprises: A collection module, used to collect three-dimensional information of the user's eyes; A building module, used for building three-dimensional eye model data according to the three-dimensional eye information; A preparation module, used for preparing an eye tray according to the three-dimensional eye model data; The detection module is used to perform a diopter test using the eye rest and the handheld ophthalmometer.

9. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to perform the vision detection method according to any one of claims 1-6.

10. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by one or more processors, the vision detection method described in any one of claims 1 to 6 is implemented.

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