CN118068513B - Intelligent adjustable myopia preventing remote glasses and adjusting control method thereof - Google Patents
Intelligent adjustable myopia preventing remote glasses and adjusting control method thereof Download PDFInfo
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- CN118068513B CN118068513B CN202410472284.8A CN202410472284A CN118068513B CN 118068513 B CN118068513 B CN 118068513B CN 202410472284 A CN202410472284 A CN 202410472284A CN 118068513 B CN118068513 B CN 118068513B
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- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
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- G02B7/18—Mountings, adjusting means, or light-tight connections, for optical elements for prisms; for mirrors
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Abstract
The invention particularly provides an intelligent adjustable myopia preventing remote mirror and an adjusting control method thereof. The remote mirror comprises a main frame component, a bracket component hinged with the main frame, an imaging component, a lifting component and a control device, wherein the imaging component, the lifting component and the control device are arranged on the main frame component; and the adjusting reference model is stored in the telescopic mirror and is used for determining the execution parameters of each component of the telescopic mirror according to the user information of the user and the use data of the user. The lifting assembly is used for realizing up-and-down movement of the imaging position, further, the long-time fixed-distance eye use of a user is avoided, the illumination environment of the user during reading is guaranteed through the illumination assembly, the user can relax eyes, myopia is prevented, occupation of a desktop space of the user is reduced through the folding structure of the remote mirror, comprehensive analysis of user information of the user and use data of the user is realized, execution parameters of all components of the remote mirror are obtained, and the focusing position is guaranteed to be matched with the human eye position of the user.
Description
Technical Field
The invention relates to the technical field of intelligent adjustable remote mirrors, and particularly provides an intelligent adjustable myopia-preventing remote mirror and an adjusting control method thereof.
Background
Along with the increasing of myopia population in China, the condition of teenager myopia is more common, and the remote mirror moves away the object image of the original close object by the principle of specular reflection, so that the close object is reduced, and the purpose of controlling myopia is achieved.
However, the existing zoom-out lens generally adjusts the position of the zoom-out lens manually by people, so that a user can realize remote object viewing, but the error value exists in manual adjustment, so that the focusing position of the zoom-out lens cannot be matched with the position of eyes of the user, and long time, fatigue is easily caused to eyes of the user, and even eye damage is caused.
Accordingly, there is a need in the art for a new intelligent adjustable zoom lens solution to the above-described problems.
Disclosure of Invention
In order to overcome the defects, the invention provides an intelligent adjustable myopia-preventing remote mirror and an adjusting control method thereof, which solve or at least partially solve the technical problems that the error value exists in manual adjustment in the prior art, the focusing position of the remote mirror cannot be matched with the human eye position of a user, and the eyes of the user are extremely easy to fatigue and even damage in use.
In a first aspect, the invention provides an intelligent adjustable myopia-preventing remote mirror, which comprises a main frame assembly, a bracket assembly hinged with the main frame, an imaging assembly, a lifting assembly and a control device, wherein the imaging assembly, the lifting assembly and the control device are arranged on the main frame assembly, and the illumination assembly is arranged on the bracket assembly:
The main frame assembly comprises a supporting plate, two supporting sleeves respectively arranged at two sides of the supporting plate, and supporting sleeves sleeved on the outer sides of the supporting sleeves, wherein the same ends of the supporting sleeves are connected with the top cover;
The imaging assembly comprises a reflecting mirror and a half reflecting mirror hinged with the top cover, two sides of the reflecting mirror are respectively arranged on the opposite sides of the two supporting sleeves, and a first cover plate is arranged at one end of the half reflecting mirror;
The lifting assembly comprises a transmission shaft arranged in the support sleeve and a sliding block sleeved on the transmission shaft, the sliding block is fixedly arranged on the inner side of the support sleeve, and one end of the transmission shaft is in transmission connection with the driving shaft so as to realize lifting of the support sleeve;
the bracket component comprises an upper cover plate hinged with the top cover, a lower cover plate hinged with the supporting plate and two side cover plates respectively hinged with the supporting sleeve;
The remote mirror is also internally stored with an adjusting reference model, and the adjusting reference model is used for determining execution parameters of each component of the remote mirror according to user information of a user and use data of the user;
The control device comprises a processor and a memory, wherein the memory is used for storing user information of users and a preset historical intelligent regulation parameter database corresponding to each user, and is also suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and operated by the processor to execute the execution parameters determined by the regulation reference model.
In one technical scheme of the intelligent adjustable myopia-preventing remote glasses, the lighting assembly comprises a front lighting lamp and side lighting lamps respectively arranged at the bottoms of the side cover plates, and the front lighting lamp is arranged at the bottom of the first cover plate;
The bottom of the supporting plate is also provided with a negative oxygen ion generating assembly, the negative oxygen ion generating assembly comprises two negative oxygen ion generators and a negative oxygen ion switch, and the negative oxygen ion generators are respectively arranged at the bottom of the supporting plate;
The display assembly comprises a display screen and button groups uniformly distributed around the display screen, so that user operation is acquired;
the support plate is also provided with a timing assembly, and the timing assembly at least comprises a timer and a timer so as to realize time display and timing.
In the above-mentioned intelligent adjustable myopia prevention remote mirror's a technical scheme, the inboard of side cover board all is provided with the recess, the symmetry is provided with the chucking structure in the first apron, the chucking structure with the recess phase-match of side cover board, in order to realize first apron with the joint of side cover board.
In a second aspect, the present invention provides a method for controlling adjustment of a telescopic lens, the method being applied to the above-mentioned intelligently adjustable myopia-preventing telescopic lens, the method comprising the steps of:
Responding to intelligent adjustment by using a user selection function, and acquiring user information, use data and current data of the remote mirror, wherein the user information at least comprises gender, age and myopia degree of the user, the use data at least comprises eye positions of the user and positions for checking objects, and the current data of the remote mirror at least comprises current states and current data parameters of various components of the remote mirror;
Substituting the user information, the use data and the current data of the remote mirror of the user into an adjustment reference model to obtain three adjustment reference combination parameters, wherein the adjustment reference combination parameters at least comprise ascending or descending parameters, whether all the illuminating lamps are started, parameters corresponding to all the illuminating lamps and whether negative oxygen ions are started;
Lifting or descending the lifting assembly based on the three adjustment reference combination parameters respectively, and acquiring user selection;
Based on the adjustment reference combination parameters selected by the user, adjusting the lifting component, the lighting component and the negative oxygen ion generating component of the remote mirror, and updating a preset historical intelligent adjustment parameter database corresponding to the user based on the adjustment reference combination parameters.
In one technical scheme of the adjusting control method of the remote mirror, a preset combined parameter database and a preset historical user database are stored in the adjusting reference model, different parameter types, different data of each parameter type and various user data corresponding to different values of each parameter type are stored in the combined parameter database, and different historical users, user information corresponding to each historical user and multiple groups of use data are stored in the historical user database; before substituting the user information of the user, the use data and the current data of the remote mirror into an adjustment reference model, the method trains the adjustment reference model by the following steps:
Acquiring current data of a plurality of preset groups of remote mirrors;
forming a plurality of groups of training sample sets corresponding to each training sample based on preset current data of a plurality of groups of remote mirrors and a preset historical user database, wherein the training sample sets at least comprise the current data of the remote mirrors, user information corresponding to the training samples and use data;
Obtaining a plurality of groups of combination parameters corresponding to each group of training sample sets based on the plurality of groups of training sample sets and a preset combination parameter database, wherein the combination parameters at least comprise a plurality of parameter types and data corresponding to each parameter type;
simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation error values of the combination parameters corresponding to each group of training sample sets;
based on the simulation error values corresponding to the combination parameters of each group corresponding to each training sample set, selecting three combination parameters with lower simulation error values as three combination parameters corresponding to each training sample set;
Respectively carrying out simulation based on three combination parameters corresponding to each group of training sample set to obtain simulation data of each group of combination parameters;
Based on the simulation data of each group of combination parameters, obtaining the adjustment success rate of all training sample sets;
and judging whether the adjustment reference model is successfully trained or not based on the adjustment success rate of all the training sample sets.
In one technical scheme of the above adjustment control method for remote mirrors, the forming the plurality of sets of training sample sets corresponding to each training sample based on the current data of the preset plurality of sets of remote mirrors and the preset historical user database includes:
Selecting a plurality of different historical use users as training samples based on the preset historical user database;
selecting user information and multiple groups of use data corresponding to each training sample based on the training samples and a preset historical user database;
Acquiring current data of a plurality of preset groups of remote mirrors;
Based on preset current data of a plurality of groups of remote mirrors, user information corresponding to each selected training sample and a plurality of groups of use data, a plurality of groups of training sample sets corresponding to each training sample are formed.
In one technical scheme of the adjusting and controlling method of the zoom-out lens, the simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets, obtaining simulated error values of each group of combination parameters corresponding to each group of training sample sets includes:
Simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation data corresponding to each group of combination parameters;
Based on the simulation data corresponding to each group of combination parameters and the user information in the training sample set corresponding to each group of combination parameters, the simulation error value of each group of combination parameters is obtained.
In one technical scheme of the adjusting and controlling method of the zoom-out lens, the selecting three combination parameters with lower simulation error values as the three combination parameters corresponding to each training sample set based on the simulation error values corresponding to the combination parameters corresponding to each training sample set includes:
Based on the simulation error values corresponding to the combination parameters of each group of training sample sets, sequencing the simulation error values corresponding to the combination parameters of each group of training sample sets from small to large to obtain the simulation error value arrangement corresponding to each group of training sample sets;
Based on the simulated error value arrangement corresponding to each training sample set, the first three combination parameters are selected as three combination parameters corresponding to each training sample set.
In one technical scheme of the adjusting and controlling method of the zoom-out lens, the obtaining the adjusting success rate of all training sample sets based on the simulation data of each group of combination parameters includes:
determining the position data of a simulation focus corresponding to each group of combination parameters based on the simulation data of each group of combination parameters;
based on the position data of the simulation focus corresponding to each group of combination parameters, obtaining a simulation error value of each group of combination parameters;
Based on the simulation error value of each group of combination parameters, obtaining an adjustment result of each combination parameter, wherein the adjustment result at least comprises adjustment success or adjustment failure;
And obtaining the adjustment success rate of all training sample sets based on the adjustment results of all the combination parameters.
In one technical scheme of the adjusting control method of the zoom-out lens, the adjusting success rate based on all training sample sets, and judging whether the adjusting reference model is successfully trained comprises:
if the adjustment success rate of all training sample sets is lower than or equal to a preset adjustment success rate threshold value, judging that the adjustment reference model fails to be trained, and executing retraining on the adjustment reference model;
If the adjustment success rate of all training sample sets exceeds a preset adjustment success rate threshold, performing secondary verification on the adjustment reference model through the confusion matrix, and judging whether the adjustment reference model is successfully trained or not based on a verification result.
The technical scheme provided by the invention has at least one or more of the following beneficial effects:
The imaging module, the lifting module and the control module on the main frame module are arranged according to user information and use information of the user, and the execution parameters of the illumination module on the support module are determined, and the execution parameters are executed through the control device, so that the comprehensive analysis of user information of the user and use data of the user is realized, the execution parameters of the components of the remote mirror are obtained, the accurate control of the execution parameters of the components is realized, the focus position and the user eye position are guaranteed, the eye protection of the user is realized, the purpose of myopia prevention is achieved, the problem that the eye is easily damaged by hand regulation, and the problem that the eye is easy to cause long-term fatigue is solved.
In the technical scheme of implementing the invention, the acquisition of the eye position of the user and the position of the object checked by the user by the remote mirror is realized by arranging the acquisition component, so that the adjustment reference model of the remote mirror can control the execution parameters of each component according to the acquired data.
In the technical scheme of implementing the invention, the time of using the remote mirror by a user is monitored by arranging the timing component, the frequency of using eyes by the user is monitored, so that the user can relax eyes in time, myopia is prevented, the use efficiency of the user is further improved, the negative oxygen ion component is arranged at the bottom of the supporting plate, the negative oxygen ion component is selectively opened according to the use condition in the use process of the remote mirror by the user, the resource waste is avoided, in addition, the purpose of purifying air and adsorbing harmful substances in the air by the negative oxygen ion is realized in the use process of the remote mirror by the user, and the application range of the remote mirror is further improved.
In the technical scheme of the invention, the lock tongue is arranged on the push plate and is respectively matched with the groove of the side cover plate and the positioning groove of the supporting sleeve, so that the half mirror is protected in the process of containing the telescopic mirror, and the service life of the telescopic mirror is prolonged.
In the technical scheme of implementing the invention, the user information, the use data and the current data of the remote mirror of the user are acquired by responding to the intelligent regulation function selection of the user, so that the non-active acquisition of the user information is realized, the privacy protection of the user is further realized, the acquired data are substituted into the regulation reference model to obtain three reference combination parameters, the lifting assembly is regulated according to the three reference combination parameters, the reference assembly parameters selected by the user are acquired and combined, the components of the remote mirror are regulated, the selection of the reference combination parameters suitable for the user in the three reference combination parameters is realized, the matching degree of the reference combination parameters and the user is improved, and the historical intelligent regulation parameter database corresponding to the user is updated according to the reference assembly parameters so as to analyze the use habit of the user, thereby improving the intelligent regulation degree of the remote mirror.
In the technical scheme of implementing the invention, in model training, multiple groups of combination parameters obtained according to multiple groups of training sample sets are simulated to obtain simulated error values of all the combination parameters, and then three combination parameters with the smallest simulated error values are selected as three combination parameters of each group of training sample sets, so that preferred selection among the multiple groups of combination parameters is realized, the matching degree of the training sample sets and the combination parameters is further improved, the three combination parameters are respectively simulated to obtain and obtain the adjustment success rate of all the training sample sets according to simulation data, whether the model is successfully trained is judged according to the adjustment success rate, and verification of model results is realized.
In the technical scheme of implementing the invention, in model training, the adjustment reference model is subjected to secondary verification through the confusion matrix, so that the secondary verification of the adjustment reference model after training is realized, and the accuracy of intelligent adjustment of three adjustment reference combination parameters is improved by the adjustment reference model according to user information of a user, use data and current data of the zoom-out lens.
Drawings
The present disclosure will become more readily understood with reference to the accompanying drawings. As will be readily appreciated by those skilled in the art: the drawings are for illustrative purposes only and are not intended to limit the scope of the present invention. Moreover, like numerals in the figures are used to designate like parts, wherein:
FIG. 1 is a schematic diagram of the main structure of an intelligent adjustable anti-myopia zoom-out lens according to one embodiment of the present invention;
FIG. 2 is a cross-sectional view of a first view of an intelligent adjustable anti-myopia extension lens according to one embodiment of the present invention;
FIG. 3 is a partial cross-sectional view of a second view of an intelligent adjustable anti-myopia extension lens according to one embodiment of the present invention;
FIG. 4 is a schematic view of a portion of a smart adjustable anti-myopia zoom out lens according to one embodiment of the present invention;
FIG. 5 is a schematic block diagram of the primary structure of an intelligent adjustable anti-myopia telescopic lens according to one embodiment of the present invention;
FIG. 6 is a flow chart illustrating the main steps of a method for controlling the adjustment of a remote mirror according to one embodiment of the present invention;
FIG. 7 is a flow chart of the steps for training an adjusted reference model according to one embodiment of the invention.
List of reference numerals:
100: a zoom-out mirror;
101: a main frame assembly; 1011: a support plate; 1012: a support sleeve; 1013: a support sleeve; 1014: a top cover;
102: a bracket assembly; 1021: an upper cover plate; 1022: a lower cover plate; 1023: a side cover plate;
103: an imaging assembly; 1031: a reflecting mirror: 1032: a half mirror; 1033: a first cover plate:
104: a lifting assembly; 1041: a transmission shaft; 1042: a slide block; 1043: a driving shaft; 1044: a first bevel gear; 1045: a second bevel gear; 1046: a rotating member;
105: a control device; 1051: a processor; 1052: a memory; 1053: program code;
106: a lighting assembly; 1061: a positive illumination lamp; 1062: a side illumination lamp;
107: adjusting a reference model; 1071: a historical intelligent regulation parameter database; 1072: a combination parameter database; 1073: a historical user database;
108: a negative oxygen ion generating component; 1081: a negative oxygen ion generator; 1082: a negative oxygen ion switch; 1083: a fan;
109: a display assembly; 1091: a display screen; 1092: a button group.
Detailed Description
Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, a "module," "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, or software components, such as program code, or a combination of software and hardware. The processor may be a central processor, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and/or signal processing functions. The processor may be implemented in software, hardware, or a combination of both. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "a and/or B" means all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and/or B" and may include A alone, B alone or A and B. The singular forms "a", "an" and "the" include plural referents.
Referring to fig. 1, fig. 1 is a schematic block diagram of a main structure of an intelligent adjustable myopia prevention remote mirror according to one embodiment of the present invention. As shown in fig. 1 to 5, the intelligent adjustable myopia-preventing zoom-out glasses in the embodiment of the present invention mainly include a main frame assembly 101, a bracket assembly 102 hinged with the main frame, and an imaging assembly 103, a lifting assembly 104 and a control device mounted on the main frame assembly 101, wherein an illumination assembly 106 is mounted on the bracket assembly 102:
the main frame assembly 101 comprises a supporting plate 1011, two supporting sleeves 1012 respectively installed at two sides of the supporting plate 1011, and supporting sleeves 1013 respectively sleeved at the outer sides of the supporting sleeves 1012, wherein the same ends of the supporting sleeves 1013 are connected with a top cover 1014;
The imaging assembly 103 includes a mirror 1031 and a half mirror 1032 hinged to the top cover 1014, wherein both sides of the mirror 1031 are respectively mounted on opposite sides of the two supporting sleeves 1013, and a first cover plate 1033 is mounted at one end of the half mirror 1032;
The lifting assembly 104 comprises a transmission shaft 1041 installed inside the support sleeve 1012 and a sliding block 1042 sleeved on the transmission shaft 1041, the sliding block 1042 is fixedly installed inside the support sleeve 1013, and one end of the transmission shaft 1041 is in transmission connection with the driving shaft 1043 to realize lifting of the support sleeve 1013;
The bracket assembly 102 includes an upper cover 1021 hinged to the top cover 1014, a lower cover 1022 hinged to the support plate 1011, and two side covers 1023 hinged to the support sleeves 1013, respectively;
An adjustment reference model 107 is also stored in the zoom-out lens 100, and is used for determining execution parameters of each component of the zoom-out lens 100 according to user information of a user and use data of the user;
The control device 105 comprises a processor 1051 and a memory 1052, wherein the memory 1052 is used for storing user information of users and a preset historical intelligent regulation parameter database 1071 corresponding to each user, the memory 1052 is suitable for storing a plurality of program codes 1053, and the program codes 1053 are suitable for being loaded and operated by the processor 1051 to execute the execution parameters determined by the regulation reference model 107.
Specifically, in some embodiments, an acquisition component is further disposed on the zoom-out lens 100, so as to obtain the position of the eyes of the user using the zoom-out lens 100 and the position of the object viewed by the user.
Specifically, in some embodiments, the acquisition component may be an image capturing device in the prior art, or may be input through a terminal that interacts with information of the zoom-out lens 100, where selection of the acquisition component is only illustrated, and in actual testing, a person skilled in the art may select the acquisition component according to actual needs, so long as it is possible to obtain a position of a human eye of a user and a position of viewing an object through the acquisition component, which will not be described herein.
In the above embodiment, by setting the acquisition component, the acquisition of the position of the eyes of the user and the position of the object viewed by the user by the remote mirror 100 is realized, so that the adjustment reference model of the remote mirror 100 controls the execution parameters of each component according to the acquired data.
Specifically, in some embodiments, the outside of the transmission shaft 1041 is a threaded structure, a threaded hole is formed in the middle of the slider 1042, and the threaded hole is matched with the threads on the outside of the transmission shaft 1041, so as to drive the slider 1042 to move up and down while the transmission shaft 1041 rotates.
Specifically, in some embodiments, a first bevel gear 1044 is disposed at the bottom of the driving shaft 1041, a second bevel gear 1045 meshed with the first bevel gear 1044 is fixed on the driving shaft 1043, and rotating members 1046 are fixed at two ends of the driving shaft 1043, so that the driving shaft 1043 is driven to rotate by rotating the rotating members 1046, and then the second bevel gear 1045 on the driving shaft 1043 is driven to rotate, the second bevel gear 1045 drives the first bevel gear 1044 to rotate, and the first bevel gear 1044 drives the driving shaft 1041 to rotate, and then drives the sliding block 1042 to move up and down along the inner side of the supporting sleeve 1013.
Specifically, in some embodiments, the rotating member 1046 may be a knob, or may be a rotating motor in the prior art, where selection of the rotating member 1046 is only illustrated by way of example, and a person skilled in the art may select according to actual needs in an actual test, so long as it is possible to drive the two transmission shafts 1041 to rotate by using the rotating member 1046, so that the two sliding blocks 1042 are lifted synchronously, which is not described herein again.
Specifically, in some embodiments, the lighting assembly 106 includes a front lighting lamp 1061 and side lighting lamps 1062 respectively mounted to the bottom of the side cover 1023, the front lighting lamp 1061 being mounted to the bottom of the first cover 1033;
The bottom of the supporting plate 1011 is also provided with a negative oxygen ion generating component 108, the negative oxygen ion generating component 108 comprises two negative oxygen ion generators 1081 and a negative oxygen ion switch 1082, and the negative oxygen ion generators 1081 are respectively arranged at the bottom of the supporting plate 1011;
The support plate 1011 is further provided with a display assembly 109, and the display assembly 109 includes a display screen 1091 and a button set 1092 uniformly distributed around the display screen 1091, so as to obtain user operation;
the supporting plate 1011 is also provided with a timing component which at least comprises a timer and a timer, so as to realize the display and timing of time.
Specifically, in some embodiments, a negative oxygen ion air outlet is further provided at the bottom of the supporting plate 1011, and a fan 1083 is further provided inside the negative oxygen ion air outlet to blow out the negative oxygen ions.
In the above embodiment, by setting the negative oxygen ion component at the bottom of the supporting plate 1011, the negative oxygen ion component is selectively opened according to the use condition in the use process of the remote mirror 100 by the user, so as to avoid resource waste, and the purpose of purifying air and adsorbing harmful substances in air by the negative oxygen ion is realized in the use process of the remote mirror 100 by the user, so that the application range of the remote mirror 100 is improved.
Specifically, in some embodiments, the button set 1092 includes at least a timing button, an alarm setting button, a negative oxygen ion switch 1082 button, an illumination lamp switch button, an illumination lamp adjusting button, an adjusting dial, and a confirmation cancel button disposed in the center of the adjusting dial, so as to enable manual control of each component of the zoom-out mirror 100 by a user and acquisition of selection by the user.
Specifically, in some embodiments, grooves are formed on the inner side of the side cover 1023, and clamping structures are symmetrically formed in the first cover 1033 and matched with the grooves of the side cover 1023, so as to implement the clamping connection between the first cover 1033 and the side cover 1023.
Specifically, in some embodiments, two slides are disposed in the first cover plate 1033, the clamping structure includes two pushing plates, the two pushing plates are disposed in the two slides respectively, the opposite sides of the two sliding plates are provided with adjusting holes, so as to adjust the position of the pushing plates by a user, the outer ends of the pushing plates are fixedly provided with locking bolts, the locking bolts are matched with grooves of the side cover plate 1023, so that the pushing plates are locked with the side cover plate 1023, and then the first cover plate 1033 is locked with the side cover plate 1023.
Specifically, in some embodiments, the opposite sides of the two supporting sleeves 1013 are provided with positioning grooves matched with the lock tongues on two sides of the pushing plate, so as to position the half mirror 1032 when the telescopic mirror 100 is stored, and avoid damage to the half mirror 1032 when the telescopic mirror 100 is stored.
Specifically, in some embodiments, a bottom plate is also detachably mounted to the bottom of the support plate 1011.
Specifically, in some embodiments, the zoom out mirror 100 is housed by:
The lifting assembly 104 is controlled to descend to the lowest position, at this time, the supporting sleeve 1012 is completely placed inside the supporting sleeve 1013, the lower cover plate 1022 is unfolded downwards, the upper cover plate 1021 is unfolded upwards, the two pushing plates are moved to opposite sides, the lock tongue on the pushing plates is separated from the groove of the side cover plate 1023, the half mirror 1032 is moved to one side of the upper cover plate 1021, the two side cover plates 1023 are respectively rotated inwards, the two side cover plates 1023 are attached, the half mirror 1032 is moved to one side of the supporting plate 1011, the two pushing plates are moved to opposite sides, the lock tongue on the pushing plates is matched with the positioning groove of the supporting sleeve 1013, locking of the half mirror 1032 and the supporting sleeve 1013 is achieved, the lower cover plate 1022 is unfolded upwards, the upper cover plate 1021 is unfolded downwards, and storage of the remote mirror 100 is achieved.
In the above embodiment, by arranging the lock bolts on the push plate to be matched with the grooves of the side cover 1023 and the positioning grooves of the supporting sleeve 1013, respectively, the protection of the half mirror 1032 in the process of accommodating the telescopic mirror 100 is realized, and the service life of the telescopic mirror 100 is further prolonged.
Referring to fig. 6, fig. 6 is a schematic flow chart of main steps of a method for controlling adjustment of a telescopic mirror according to an embodiment of the present invention. As shown in fig. 6, the adjusting and controlling method of the telescopic mirror in the embodiment of the present invention mainly includes the following steps S601 to S604.
Step S601: responding to intelligent adjustment by using a user selection function, and acquiring user information, use data and current data of the remote mirror, wherein the user information at least comprises gender, age and myopia degree of the user, the use data at least comprises eye positions of the user and positions for checking objects, and the current data of the remote mirror at least comprises current states and current data parameters of various components of the remote mirror;
Step S602: substituting the user information, the use data and the current data of the remote mirror of the user into an adjustment reference model to obtain three adjustment reference combination parameters, wherein the adjustment reference combination parameters at least comprise ascending or descending parameters, whether all the illuminating lamps are started, parameters corresponding to all the illuminating lamps and whether negative oxygen ions are started;
As shown in fig. 7, specifically, in some embodiments, a preset combined parameter database and a preset historical user database are stored in the adjustment reference model, the combined parameter database stores different parameter types, different data of each parameter type and multiple user data corresponding to different values of each parameter type, and the historical user database stores different historical users, user information corresponding to each historical user and multiple groups of usage data; before substituting the user information of the user, the use data and the current data of the remote mirror into an adjustment reference model, the method trains the adjustment reference model by the following steps:
Acquiring current data of a plurality of preset groups of remote mirrors;
forming a plurality of groups of training sample sets corresponding to each training sample based on preset current data of a plurality of groups of remote mirrors and a preset historical user database, wherein the training sample sets at least comprise the current data of the remote mirrors, user information corresponding to the training samples and use data;
Obtaining a plurality of groups of combination parameters corresponding to each group of training sample sets based on the plurality of groups of training sample sets and a preset combination parameter database, wherein the combination parameters at least comprise a plurality of parameter types and data corresponding to each parameter type;
simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation error values of the combination parameters corresponding to each group of training sample sets;
based on the simulation error values corresponding to the combination parameters of each group corresponding to each training sample set, selecting three combination parameters with lower simulation error values as three combination parameters corresponding to each training sample set;
Respectively carrying out simulation based on three combination parameters corresponding to each group of training sample set to obtain simulation data of each group of combination parameters;
Based on the simulation data of each group of combination parameters, obtaining the adjustment success rate of all training sample sets;
and judging whether the adjustment reference model is successfully trained or not based on the adjustment success rate of all the training sample sets.
Specifically, in some embodiments, the selection of the number of three of the three combination parameters is only illustrative, and the person skilled in the art can select the combination parameters according to actual needs in actual testing, which is not described herein.
Specifically, in some embodiments, the forming the plurality of training sample sets corresponding to each training sample based on the current data of the preset plurality of groups of zoom-out lenses and the preset historical user database includes:
Selecting a plurality of different historical use users as training samples based on the preset historical user database;
selecting user information and multiple groups of use data corresponding to each training sample based on the training samples and a preset historical user database;
Acquiring current data of a plurality of preset groups of remote mirrors;
Based on preset current data of a plurality of groups of remote mirrors, user information corresponding to each selected training sample and a plurality of groups of use data, a plurality of groups of training sample sets corresponding to each training sample are formed.
Specifically, in some embodiments, the forming the plurality of sets of training sample sets corresponding to each training sample based on the current data of the preset plurality of sets of zoom-out lenses, the user information corresponding to each training sample selected, and the plurality of sets of usage data includes:
based on the user information and multiple groups of use data corresponding to each selected training sample, multiple groups of training sample sets corresponding to each training sample are formed;
randomly distributing the current data of the plurality of groups of remote mirrors to each group of training sample sets, so that each group of training sample sets is matched with the current data of one remote mirror;
To form a plurality of groups of training sample sets corresponding to each training sample.
Specifically, in some embodiments, the simulating based on each set of training sample sets and the plurality of sets of combination parameters corresponding to each set of training sample sets to obtain the simulated error values of the plurality of sets of combination parameters corresponding to each set of training sample sets includes:
Simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation data corresponding to each group of combination parameters;
Based on the simulation data corresponding to each group of combination parameters and the user information in the training sample set corresponding to each group of combination parameters, the simulation error value of each group of combination parameters is obtained.
Specifically, in some embodiments, the human eye position of the user in the usage data at least includes a human eye X-axis value, a human eye Y-axis value, and a human eye Z-axis value, and the obtaining the analog error value of each group of combination parameters based on the analog data corresponding to each group of combination parameters and the user information in the training sample set corresponding to each group of combination parameters includes:
Determining position data of a focusing focus corresponding to each group of combination parameters based on the simulation data corresponding to each group of combination parameters, wherein the position data at least comprises a focusing X-axis value, a focusing Y-axis value and a focusing Z-axis value by taking the central position of the bottom of a supporting plate of the remote mirror as an origin;
the analog error value for each set of combining parameters is obtained by the following formula:
Analog error value of combination parameter= | (focus X-axis value corresponding to the combination parameter-human eye X-axis value corresponding to the combination parameter) |x-axis weight|+| (focus Y-axis value corresponding to the combination parameter-human eye Y-axis value corresponding to the combination parameter) |+| (focus Z-axis value corresponding to the combination parameter-human eye Z-axis value corresponding to the combination parameter) |z-axis weight|.
Specifically, in some embodiments, the X-axis weight, the Y-axis weight, and the Z-axis weight may be 0.2, 0.3, and 0.5, or may be 0.1, 0.3, and 0.6, respectively, where the selection of the X-axis weight, the Y-axis weight, and the Z-axis weight is only exemplary, and those skilled in the art may select according to actual needs in the actual test, which is not described herein.
Specifically, in some embodiments, the obtaining the adjustment success rate of all training sample sets based on the simulation data of each group of combination parameters includes:
determining the position data of a simulation focus corresponding to each group of combination parameters based on the simulation data of each group of combination parameters;
based on the position data of the simulation focus corresponding to each group of combination parameters, obtaining a simulation error value of each group of combination parameters;
Based on the simulation error value of each group of combination parameters, obtaining an adjustment result of each combination parameter, wherein the adjustment result at least comprises adjustment success or adjustment failure;
And obtaining the adjustment success rate of all training sample sets based on the adjustment results of all the combination parameters.
Specifically, in some embodiments, the obtaining the simulation error value of each set of combination parameters based on the position data of the simulation focus corresponding to each set of combination parameters includes:
based on the position data of the simulation focus corresponding to each group of combination parameters and the user information in the training sample set corresponding to each group of combination parameters, obtaining a simulation error value of each group of combination parameters, wherein the position data of the simulation focus corresponding to each group of combination parameters at least comprises a simulation X-axis value, a simulation Y-axis value and a simulation Z-axis value;
specifically, the simulation error values for each set of combining parameters are obtained by the following formula:
Simulation error value of the combination parameter= | (simulation X-axis value corresponding to the combination parameter-human eye X-axis value corresponding to the combination parameter) |x-axis weight|+| (simulation Y-axis value corresponding to the combination parameter-human eye Y-axis value corresponding to the combination parameter) |+| (simulation Z-axis value corresponding to the combination parameter-human eye Z-axis value corresponding to the combination parameter) |z-axis weight|.
Specifically, in some embodiments, the obtaining the adjustment result of each combination parameter based on the simulation error value of each group of combination parameters includes:
if the simulation error value of the combination parameter is higher than a preset simulation error threshold value, judging that the adjustment result of the combination parameter is failed in adjustment;
otherwise, judging that the adjustment result of the combination parameters is successful.
Specifically, in some embodiments, the preset simulation error threshold may be 3 or 5, where the setting of the preset simulation error threshold is only illustrated, and in actual testing, a person skilled in the art may set the preset simulation error threshold according to actual needs, which is not described herein.
Specifically, in some embodiments, the determining whether the adjustment reference model is successfully trained based on the adjustment success rates of all training sample sets includes:
if the adjustment success rate of all training sample sets is lower than or equal to a preset adjustment success rate threshold value, judging that the adjustment reference model fails to be trained, and executing retraining on the adjustment reference model;
If the adjustment success rate of all training sample sets exceeds a preset adjustment success rate threshold, performing secondary verification on the adjustment reference model through the confusion matrix, and judging whether the adjustment reference model is successfully trained or not based on a verification result.
Specifically, in some embodiments, the adjustment success rate of all training sample sets is obtained by the following formula:
The adjustment success rate of all training sample sets = the number of training sample sets that were successfully adjusted/the number of all training sample sets.
Specifically, in some embodiments, the preset adjustment success rate threshold may be 95% or 98%, where the setting of the preset adjustment success rate threshold is only illustrated, and in actual testing, those skilled in the art may set the preset adjustment success rate threshold according to actual needs, which is not described herein.
In the above embodiment, by simulating the multiple groups of combination parameters obtained according to the multiple groups of training sample sets, the simulation error value of each combination parameter is obtained, and then three combination parameters with the minimum simulation error value are selected as three combination parameters of each group of training sample sets, so that the preferred selection among the multiple groups of combination parameters is realized, the matching degree of the training sample sets and the combination parameters is further improved, the three combination parameters are respectively simulated, the adjustment success rate of all the training sample sets is obtained according to the simulation data, whether the model is successfully trained is judged according to the adjustment success rate, and verification of the model result is realized.
Specifically, in some embodiments, the preset historical intelligent regulation parameter database stores user information corresponding to each historical user in the preset historical user database and historical regulation combination parameters corresponding to each set of usage data; the secondary verification of the adjusted reference model by the confusion matrix comprises:
Determining historical adjustment combination parameters corresponding to each group of training sample sets based on each group of training sample sets and a preset historical intelligent adjustment parameter database;
Comparing based on simulation data of each group of combination parameters corresponding to each group of training sample set and historical adjustment combination parameters corresponding to each group of training sample set to obtain a comparison result of each group of combination parameters, wherein the comparison result at least comprises comparison success or comparison failure;
Substituting the adjustment result of each group of combination parameters and the comparison result of each group of combination parameters into a confusion matrix to respectively obtain TPR, TNR, ACC values, wherein TPR is sensitivity, and is the ratio of positive samples identified as positive to all positive samples; TNR is specificity, and is the ratio of negative samples identified as negative to all negative samples; ACC is the correct rate, and is the ratio of all samples with correct identification to all samples; the positive sample is a training sample set with a successful adjustment result, and the negative sample is a training sample set with a failed adjustment result; positive samples identified as positive are training sample sets with successful comparison results and successful adjustment results, negative samples identified as negative are training sample sets with failed comparison results and failed adjustment results.
Comparing the obtained TPR, TNR, ACC values with respective preset thresholds:
if the values are all higher than or equal to the preset threshold value, judging that the trained illegal behavior recognition model passes verification;
If one of the values is lower than the preset threshold value, judging that the verification of the trained illegal behavior recognition model fails, and retraining the illegal behavior recognition model.
Specifically, in this embodiment, the preset threshold of the TPR is 33%, and the preset thresholds of the TNR and ACC are 66%. The preset threshold is only exemplary, and a person skilled in the art can select the preset threshold according to actual needs in actual testing, which is not described herein.
Specifically, in some embodiments, the comparing based on the simulation data of each group of combination parameters corresponding to each group of training sample sets and the historical adjustment combination parameters corresponding to each group of training sample sets, to obtain a comparison result of each group of combination parameters includes:
Obtaining the adjustment results of the simulation data of each group of combination parameters corresponding to each group of training sample set, and the degree of difference between the adjustment results of the historical adjustment combination parameters corresponding to each group of training sample set;
If the difference degree of the simulation data of the combination parameters corresponding to the training sample set and the adjustment results of the historical adjustment combination parameters corresponding to the training sample set exceeds a preset threshold, judging that the comparison result of each group of combination parameters is failed;
otherwise, judging that the comparison result of each group of combination parameters is successful.
In the above embodiment, the secondary verification is performed on the adjustment reference model through the confusion matrix, so that the secondary verification on the adjustment reference model after training is achieved, and the accuracy of intelligent adjustment of three adjustment reference combination parameters is improved by the adjustment reference model according to the user information of the user, the use data and the current data of the zoom-out lens.
Step S603: lifting or descending the lifting assembly based on the three adjustment reference combination parameters respectively, and acquiring user selection;
Step S604: based on the adjustment reference combination parameters selected by the user, adjusting the lifting component, the lighting component and the negative oxygen ion generating component of the remote mirror, and updating a preset historical intelligent adjustment parameter database corresponding to the user based on the adjustment reference combination parameters.
Specifically, in some embodiments, the method further comprises: and responding to manual adjustment by using a user selection function, displaying 'please select corresponding adjustment operation through a button and an adjustment dial wheel' in the display screen, and adjusting corresponding components according to the button and the adjustment dial wheel selected by the user.
Based on the above steps S601-S604, by responding to the function selection of intelligent adjustment by the user, user information, usage data and current data of the zoom-out lens of the user are obtained, so that non-active user information acquisition is realized, privacy protection of the user is further realized, the obtained data are substituted into an adjustment reference model to obtain three reference combination parameters, the lifting assembly is adjusted according to the three reference combination parameters, and each assembly of the zoom-out lens is adjusted according to the three reference combination parameters, and the reference combination parameters suitable for the user are selected from the three reference combination parameters according to the user selection, so that the matching degree of the reference combination parameters and the user is improved, and then the historical intelligent adjustment parameter database corresponding to the user is updated according to the reference assembly parameters, so that the usage habit of the user is analyzed, and the intelligent adjustment degree of the zoom-out lens is improved.
It should be noted that, although the foregoing embodiments describe the steps in a specific order, it will be understood by those skilled in the art that, in order to achieve the effects of the present invention, the steps are not necessarily performed in such an order, and may be performed simultaneously (in parallel) or in other orders, and these variations are within the scope of the present invention.
Further, the intelligent adjustable telescopic mirror of the invention. In some embodiments, the description of the specific implementation functions may be described with reference to step S601-step S604.
The foregoing intelligent adjustable telescopic mirror is used for executing the embodiment of the adjusting control method of the telescopic mirror shown in fig. 6, and the technical principles of the two are similar, the technical problems to be solved and the technical effects to be produced are similar, and those skilled in the art can clearly understand that, for convenience and brevity of description, the specific working process and related description of the intelligent adjustable telescopic mirror can refer to the description of the embodiment of the adjusting control method of the telescopic mirror, which is not repeated herein.
It will be appreciated by those skilled in the art that the present invention may implement all or part of the flow of the method of the above-described embodiment, or may be implemented by instructing relevant hardware by a computer program code, which may be stored in a computer readable storage medium, and the computer program code may implement the steps of the above-described method embodiments when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable storage medium may include: any entity or device, medium, usb disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunications signals, software distribution media, and the like capable of carrying the computer program code. It should be noted that the computer readable storage medium may include content that is subject to appropriate increases and decreases as required by jurisdictions and by jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunications signals.
As shown in fig. 5, further, the control device 105 in the smart adjustable remote mirror of the present invention includes a processor 1051 and a memory 1052, the memory 1052 may be configured to store program code 1053 for executing the adjustment control method of the remote mirror of the above-described method embodiment, and the processor 1051 may be configured to execute the program code 1053 in the memory 1052, the program code 1053 including, but not limited to, the program code 1053 for executing the adjustment control method of the remote mirror of the above-described method embodiment. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The control device 105 may be a control device 105 device formed from various electronic devices.
Further, the adjustment reference model 107 in the intelligent adjustable zoom-out lens 100 of the present invention stores a preset combination parameter database 1072, a preset historical intelligent adjustment parameter database 1071 and a preset historical user database 1073.
Further, the intelligent adjustable zoom-out lens of the present invention also includes a computer readable storage medium. In one computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium may be configured to store program code 1053 for performing the adjustment control method of the remote mirror of the above-described method embodiment, the program code 1053 being loadable and executable by the processor 1051 to implement the adjustment control method of the remote mirror described above. For convenience of explanation, only those portions of the embodiments of the present invention that are relevant to the embodiments of the present invention are shown, and specific technical details are not disclosed, please refer to the method portions of the embodiments of the present invention. The computer readable storage medium may be a memory 1052 device including various electronic devices, and optionally, the computer readable storage medium in embodiments of the present invention is a non-transitory computer readable storage medium.
Further, it should be understood that since the respective modules are merely provided to illustrate the functional units of the apparatus of the present invention, the physical devices corresponding to the modules may be the processor 1051 itself, or a part of the software in the processor 1051, a part of the hardware, or a part of a combination of the software and the hardware. Accordingly, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solution after splitting or combining falls within the protection scope of the present invention.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.
Claims (6)
1. A method for controlling the adjustment of a zoom-out mirror, the method comprising the steps of:
Responding to intelligent adjustment by using a user selection function, and acquiring user information, use data and current data of the remote mirror, wherein the user information at least comprises gender, age and myopia degree of the user, the use data at least comprises eye positions of the user and positions for checking objects, and the current data of the remote mirror at least comprises current states and current data parameters of various components of the remote mirror;
Substituting the user information, the use data and the current data of the remote mirror of the user into an adjustment reference model to obtain three adjustment reference combination parameters, wherein the adjustment reference combination parameters at least comprise ascending or descending parameters, whether all the illuminating lamps are started, parameters corresponding to all the illuminating lamps and whether negative oxygen ions are started;
Lifting components are lifted or lowered based on the three adjustment reference combination parameters respectively, and user selection is obtained;
Based on the adjustment reference combination parameters selected by a user, adjusting a lifting component, a lighting component and a negative oxygen ion generating component of the remote mirror, and updating a preset historical intelligent adjustment parameter database corresponding to the user based on the adjustment reference combination parameters;
the adjustment reference model is stored with a preset combination parameter database and a preset historical user database, the combination parameter database is stored with different parameter types, different data of each parameter type and various user data corresponding to different values of each parameter type, and the historical user database is stored with different historical users, user information corresponding to each historical user and multiple groups of use data; before substituting the user information of the user, the use data and the current data of the remote mirror into an adjustment reference model, the method trains the adjustment reference model by the following steps:
Acquiring current data of a plurality of preset groups of remote mirrors;
forming a plurality of groups of training sample sets corresponding to each training sample based on preset current data of a plurality of groups of remote mirrors and a preset historical user database, wherein the training sample sets at least comprise the current data of the remote mirrors, user information corresponding to the training samples and use data;
Obtaining a plurality of groups of combination parameters corresponding to each group of training sample sets based on the plurality of groups of training sample sets and a preset combination parameter database, wherein the combination parameters at least comprise a plurality of parameter types and data corresponding to each parameter type;
simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation error values of the combination parameters corresponding to each group of training sample sets;
based on the simulation error values corresponding to the combination parameters of each group corresponding to each training sample set, selecting three combination parameters with lower simulation error values as three combination parameters corresponding to each training sample set;
Respectively carrying out simulation based on three combination parameters corresponding to each group of training sample set to obtain simulation data of each group of combination parameters;
Based on the simulation data of each group of combination parameters, obtaining the adjustment success rate of all training sample sets;
and judging whether the adjustment reference model is successfully trained or not based on the adjustment success rate of all the training sample sets.
2. The method for controlling adjustment of a telescopic mirror according to claim 1, wherein the forming a plurality of training sample sets corresponding to each training sample based on current data of a plurality of preset telescopic mirrors and a preset historical user database comprises:
Selecting a plurality of different historical use users as training samples based on the preset historical user database;
selecting user information and multiple groups of use data corresponding to each training sample based on the training samples and a preset historical user database;
Acquiring current data of a plurality of preset groups of remote mirrors;
Based on preset current data of a plurality of groups of remote mirrors, user information corresponding to each selected training sample and a plurality of groups of use data, a plurality of groups of training sample sets corresponding to each training sample are formed.
3. The method for controlling adjustment of a telescopic mirror according to claim 2, wherein the simulating based on each set of training sample sets and a plurality of sets of combination parameters corresponding to each set of training sample sets, obtaining simulated error values of each set of combination parameters corresponding to each set of training sample sets comprises:
Simulating based on each group of training sample sets and a plurality of groups of combination parameters corresponding to each group of training sample sets to obtain simulation data corresponding to each group of combination parameters;
Based on the simulation data corresponding to each group of combination parameters and the user information in the training sample set corresponding to each group of combination parameters, the simulation error value of each group of combination parameters is obtained.
4. The method of claim 3, wherein selecting three combination parameters with lower analog error values as the three combination parameters corresponding to each training sample set based on the analog error values corresponding to the combination parameters corresponding to each training sample set comprises:
Based on the simulation error values corresponding to the combination parameters of each group of training sample sets, sequencing the simulation error values corresponding to the combination parameters of each group of training sample sets from small to large to obtain the simulation error value arrangement corresponding to each group of training sample sets;
Based on the simulated error value arrangement corresponding to each training sample set, the first three combination parameters are selected as three combination parameters corresponding to each training sample set.
5. The method of claim 4, wherein obtaining the adjustment success rate of all training sample sets based on the simulation data of each group of combination parameters comprises:
determining the position data of a simulation focus corresponding to each group of combination parameters based on the simulation data of each group of combination parameters;
based on the position data of the simulation focus corresponding to each group of combination parameters, obtaining a simulation error value of each group of combination parameters;
Based on the simulation error value of each group of combination parameters, obtaining an adjustment result of each combination parameter, wherein the adjustment result at least comprises adjustment success or adjustment failure;
And obtaining the adjustment success rate of all training sample sets based on the adjustment results of all the combination parameters.
6. The adjustment control method of a zoom-out lens according to claim 1, wherein the determining whether the adjustment reference model is successfully trained based on the adjustment success rates of all training sample sets comprises:
if the adjustment success rate of all training sample sets is lower than or equal to a preset adjustment success rate threshold value, judging that the adjustment reference model fails to be trained, and executing retraining on the adjustment reference model;
If the adjustment success rate of all training sample sets exceeds a preset adjustment success rate threshold, performing secondary verification on the adjustment reference model through the confusion matrix, and judging whether the adjustment reference model is successfully trained or not based on a verification result.
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| CN114898833A (en) * | 2022-06-08 | 2022-08-12 | 南京耀科医疗器械有限公司 | Myopia prevention and control accuse axletree appearance data intelligent management system |
| CN218728377U (en) * | 2022-08-26 | 2023-03-24 | 深圳市眼星光科技有限公司 | Lifting type storable myopia-preventing telescopic glasses |
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| CN218099783U (en) * | 2022-06-09 | 2022-12-20 | 深圳市眼星光科技有限公司 | Forced anti-myopia reading telescopic glasses |
| CN218099810U (en) * | 2022-08-18 | 2022-12-20 | 深圳市眼星光科技有限公司 | Myopia-preventing telescopic glasses convenient to install on wall |
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| CN114898833A (en) * | 2022-06-08 | 2022-08-12 | 南京耀科医疗器械有限公司 | Myopia prevention and control accuse axletree appearance data intelligent management system |
| CN218728377U (en) * | 2022-08-26 | 2023-03-24 | 深圳市眼星光科技有限公司 | Lifting type storable myopia-preventing telescopic glasses |
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