Myopia prevention and treatment system, method, device and equipment and readable storage medium

Abstract

The invention relates to a myopia prevention and treatment system, method, device and equipment and a readable storage medium. The system comprises a naked eye 3D display used for displaying learning materials; the camera is used for collecting a face image of a learning object; the processor is used for acquiring the format of the learning material in the process that the learning object watches the learning material displayed in the naked eye 3D display, and determining a myopia prevention and treatment strategy corresponding to the format; under the condition that the format is the video format, adjusting the depth of field of a display object in the learning material according to the in-screen and out-screen requirements; under the condition that the format is a text format, determining continuous learning duration of the learning object according to the face image; adjusting the depth of field of the text in the learning material according to the continuous learning duration; and the naked eye 3D display is also used for displaying the learning material after the depth of field is adjusted under the condition that the learning material after the depth of field is adjusted is received. By adopting the method, the time cost for myopia prevention and treatment can be reduced.

Description

Technical Field

[0001] The present application relates to the field of naked-eye 3D display technology, and in particular to a myopia prevention and treatment system, method, device, equipment and readable storage medium. Background Art

[0002] Planar fixation refers to the eyes viewing two-dimensional objects within a relatively fixed visual distance, such as reading, looking at mobile phones, looking at computers, watching TV, etc. With the change of learning methods, learners generally watch electronic screens more frequently and for longer periods of time during the learning process. Long-term, close-range planar fixation is the main cause of myopia in learners. Currently, the myopia prevention and treatment systems based on naked-eye 3D display on the market are mainly concentrated in myopia detection equipment and myopia prevention and treatment training equipment, which require learners to stop studying for detection and training, and the time cost of myopia prevention and treatment is relatively high. Summary of the invention

[0003] Based on this, it is necessary to provide a myopia prevention and treatment system, method, apparatus, computer equipment, computer-readable storage medium and computer program product that can reduce the time cost of myopia prevention and treatment in response to the above-mentioned technical problems.

[0004] In a first aspect, the present application provides a myopia prevention and treatment system, the system comprising:

[0005] Glasses-free 3D display for displaying learning materials;

[0006] A camera, used to collect facial images of learning objects;

[0007] The processor is used to obtain the format of the learning material and determine the myopia prevention and treatment strategy corresponding to the format when the learning object watches the learning material displayed on the naked-eye 3D display; when the format is a video format, adjust the depth of field of the display object in the learning material according to the requirements of entering and exiting the screen; when the format is a text format, determine the continuous learning time of the learning object according to the face image; adjust the depth of field of the text in the learning material according to the continuous learning time; and send the learning material with the adjusted depth of field to the naked-eye 3D display;

[0008] The naked-eye 3D display is also used to display the learning material with the depth of field adjusted when receiving the learning material with the depth of field adjusted.

[0009] In one embodiment, the processor is further configured to, when the entry and exit screen requirement indicates that the display object is to be displayed off-screen, determine an off-screen depth of field corresponding to the off-screen display, and adjust the depth of field corresponding to the display object in the learning material to the off-screen depth of field;

[0010] When the entry and exit screen requirement indicates that the display object is to be displayed on the screen, the entry screen depth of field corresponding to the entry screen display is determined, and the depth of field corresponding to the display object in the learning material is adjusted to the entry screen depth of field.

[0011] In one of the embodiments, there are M display objects; the processor is further used to determine the off-screen depth of field corresponding to each of the N display objects according to the off-screen distances corresponding to each of the N display objects in the entry and exit requirements when the entry and exit requirements indicate that the N display objects are to be displayed off-screen; M is greater than or equal to N.

[0012] In one embodiment, there are M display objects; the processor is further used to determine the on-screen depth of field corresponding to each of the P display objects according to the on-screen distance corresponding to each of the P display objects in the on-screen requirements when the on-screen requirements indicate that P display objects are to be displayed on-screen; M is greater than or equal to P.

[0013] In one of the embodiments, the processor is also used to, when a currently acquired facial image belongs to a different learning object than a last acquired facial image, restart the timing from the current acquisition moment; when the continuous learning time reaches a preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0014] In one of the embodiments, the processor is also used to, when a currently acquired facial image belongs to the same learning object as a last acquired facial image, obtain the interval between the current acquisition moment and the last acquisition moment; when the interval is greater than a preset rest time, restart the timing from the current acquisition moment; when the interval is not greater than the preset rest time, continue the timing from the last acquisition moment; when the continuous learning time reaches the preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0015] In a second aspect, the present application provides a myopia prevention and treatment method, which is applied to the above-mentioned myopia prevention and treatment system. The myopia prevention and treatment method includes:

[0016] In the process of the learning subject viewing the learning material displayed on the naked-eye 3D display, obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format;

[0017] When the format is a video format, the depth of field of the display object in the learning material is adjusted according to the requirements of entering and exiting the screen;

[0018] When the format is text format, a facial image is obtained, and the continuous learning time of the learning object is determined based on the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning material with adjusted depth of field is sent to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

[0019] In a third aspect, the present application provides a myopia prevention and treatment device, the device comprising:

[0020] A file storage unit for storing learning materials;

[0021] A display unit, used for displaying learning materials;

[0022] A learning material format determination unit, used to obtain the format of the learning material and determine the myopia prevention and treatment strategy corresponding to the format when the learning object is viewing the learning material displayed by the display unit;

[0023] A face recognition unit, used to recognize a face image in an image captured by a camera;

[0024] A timing unit, used to determine the continuous learning time of the learning object according to the face image;

[0025] An image depth of field processing unit, used for adjusting the depth of field of the display object in the learning material according to the requirements of the screen when the format is a video format; and adjusting the depth of field of the text in the learning material according to the continuous learning time when the format is a text format; the learning material after the depth of field adjustment is sent to the display unit;

[0026] The display unit is further configured to, upon receiving the learning material with the depth of field adjusted, display the learning material with the depth of field adjusted.

[0027] In a fourth aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] In the process of the learning subject viewing the learning material displayed on the naked-eye 3D display, obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format;

[0029] When the format is a video format, the depth of field of the display object in the learning material is adjusted according to the requirements of entering and exiting the screen;

[0030] When the format is text format, a facial image is obtained, and the continuous learning time of the learning object is determined based on the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning material with adjusted depth of field is sent to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

[0031] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0032] In the process of the learning subject viewing the learning material displayed on the naked-eye 3D display, obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format;

[0033] When the format is a video format, the depth of field of the display object in the learning material is adjusted according to the requirements of entering and exiting the screen;

[0034] When the format is text format, a facial image is obtained, and the continuous learning time of the learning object is determined based on the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning material with adjusted depth of field is sent to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

[0035] In a sixth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] In the process of the learning subject viewing the learning material displayed on the naked-eye 3D display, obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format;

[0037] When the format is a video format, the depth of field of the display object in the learning material is adjusted according to the requirements of entering and exiting the screen;

[0038] When the format is text format, a facial image is obtained, and the continuous learning time of the learning object is determined based on the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning material with adjusted depth of field is sent to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

[0039] The above-mentioned myopia prevention and treatment system, method, device, computer equipment, computer-readable storage medium and computer program product determine the myopia prevention and treatment strategy corresponding to the format according to the different formats of the learning materials during the process of the learning subjects watching the learning materials displayed in the naked-eye 3D display; for the video format, the depth of field of the displayed object in the learning material can be adjusted according to the screen entry and exit requirements; for the text format, the depth of field of the text in the learning material can be adjusted according to the continuous learning time of the learning subjects; because the learning materials displayed in the naked-eye 3D display can be automatically adjusted according to the format of the learning materials, the screen entry and exit requirements and the continuous learning time, the learning subjects do not need to stop the ongoing learning, and the continuity of the learning process of the learning subjects will not be interrupted. Instead, myopia prevention and treatment is automatically performed during the learning process, which is beneficial to improving the learning efficiency of the learning subjects and greatly reducing the time cost of myopia prevention and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 is an application environment diagram of a myopia prevention and treatment system in one embodiment;

[0042] Figure 2 A schematic diagram of the display principle of a naked-eye 3D display using a cylindrical lens refraction technology in one embodiment;

[0043] Figure 3 A schematic diagram of a screen display in one embodiment;

[0044] Figure 4 is a schematic diagram of an on-screen display in an embodiment;

[0045] Figure 5 is a schematic diagram of a screen display in an embodiment;

[0046] Figure 6 A schematic diagram of setting the depth of field of a display object in one embodiment;

[0047] Figure 7 A schematic diagram of a process of preventing and treating myopia based on a myopia prevention and treatment system in an embodiment;

[0048] Figure 8 A schematic diagram of a method for converting a video format material into a naked-eye 3D video in one embodiment;

[0049] Fig. 9A schematic diagram of a flow chart of a method for preventing and treating myopia in another embodiment;

[0050] Fig.10 A structural block diagram of a myopia prevention and treatment method device in an embodiment;

[0051] Fig.11 A hardware structure block diagram of a myopia prevention and treatment system in one embodiment;

[0052] Fig.12 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] The myopia prevention and treatment system provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the myopia prevention and treatment system includes: a naked-eye 3D display 102, a camera 104 and a processor (not shown). The naked-eye 3D display 102 is used to display learning materials; the camera 104 is used to collect facial images of learning objects; the processor is used to obtain the format of learning materials and determine the myopia prevention and treatment strategy corresponding to the format during the process of the learning objects watching the learning materials displayed in the naked-eye 3D display 102; when the format is a video format, the depth of field of the display object in the learning material is adjusted according to the requirements of entering and exiting the screen; when the format is a text format, the continuous learning time of the learning object is determined according to the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning materials with adjusted depth of field are sent to the naked-eye 3D display 102; the naked-eye 3D display 102 is also used to display the learning materials with adjusted depth of field when receiving the learning materials with adjusted depth of field.

[0055] Among them, the naked eye 3D display is a visual experience technology that does not require any glasses or helmets or other auxiliary equipment. It allows the learning object to directly watch the 3D images with a three-dimensional sense with the naked eye. 3D (3 Dimensions) is three-dimensional. 3D is the concept of space, that is, the space composed of three axes of X, Y, and Z, which is relative to the plane (2D) with only length and width.

[0056] The naked eye 3D display can display learning materials, and the learning materials can be in various formats, such as video format, text format, etc. The learning object can watch the learning materials displayed in the naked eye 3D display to learn. In some embodiments, a naked eye 3D display based on a cylindrical lens refraction technology can be used, such as Figure 2 The figure shows a schematic diagram of the display principle of a naked-eye 3D display using a cylindrical lens refraction technology in one embodiment. The refraction of the display refers to refracting the light seen by the left eye into the left eye and the light seen by the right eye into the right eye through the lens, so that the images seen by the left and right eyes are separated, so that the observer can see a 3D stereoscopic image.

[0057] The camera is used to collect the face image of the learning object. If the camera detects that there is no learning object in the image, it means that the learning object has left midway and the learning has been interrupted.

[0058] The processor is the main processing unit, for example, it can be a CPU, GPU, etc. Since the learning subject's continuous long-term flat fixation may cause myopia problems, the embodiment of the present application mainly uses the processor to adjust the depth of field of the learning material displayed on the naked-eye 3D display while the learning subject is watching the learning material, so that the learning material with adjusted depth of field is displayed on the naked-eye 3D display, thereby realizing the myopia prevention and treatment function.

[0059] The requirement of entering and exiting the screen refers to the requirement of displaying learning materials outside the screen, inside the screen or in the middle screen. The requirement of exiting the screen refers to the situation that when the naked eye 3D display is displayed, the object image is convex outside the screen, that is, the display content is in front of the screen. Figure 3 The figure shows a schematic diagram of an off-screen display in an embodiment. The image on the display seen by the right eye of the learning subject is Wright, and the image on the display seen by the left eye is Wleft. The light rays of Wright and Wleft intersect at W' (i.e., the virtual image of object W) in front of the display. At this time, the learning subject sees the virtual image W' of object W in front of the display, and W' is the effect of the off-screen display.

[0060] In-screen means that when the naked eye 3D display is displayed, the object image is recessed inside the screen, that is, the display content is on the back of the screen. Figure 4 The figure shows a schematic diagram of an on-screen display in an embodiment. The image on the display seen by the right eye of the learning subject is Wright, and the image on the display seen by the left eye is Wleft. The extended light lines of Wright and Wleft intersect at W' (i.e., the virtual image of object W) behind the display. At this time, the virtual image W' seen by the learning subject is located behind the display, and W' is the effect of on-screen display.

[0061] The middle screen refers to the naked eye 3D display, where the object image is on the screen surface, that is, the display content is on the screen surface. Figure 5 The figure shows a schematic diagram of the middle screen display in one embodiment. The image on the display that the right eye of the learning subject sees is Wright, and the image on the display that the left eye sees is Wleft. Wright and Wleft overlap at a point on the display (represented as W'). At this time, W' seen by the learning subject is located on the display, and W' is the effect of the middle screen display.

[0062] The entry and exit requirements indicate the requirements for different display objects in the learning materials to be displayed on the off-screen, on-screen, or in-screen. Display objects refer to objects in the learning materials. For example, the learning materials contain three different objects, object A, object B, and object C. The entry and exit requirements indicate that object A should be displayed on the in-screen, object B should be displayed in the in-screen, and object C should be displayed on the off-screen.

[0063] When the learning materials are in video format, different screen entry and exit requirements can be achieved by adjusting the depth of field of the display objects in the learning materials, so that the learning materials can meet the myopia prevention and treatment function when played on a naked-eye 3D display.

[0064] When the learning materials are in text format, the myopia prevention and treatment function can be achieved by adjusting the depth of field of the text in the learning materials.

[0065] The continuous learning time refers to the duration of the learning material displayed on the naked eye 3D display by the learning object. The continuous learning time can be determined by the duration of the face image. For example, the camera has a face recognition function, and through face recognition of the captured image, when the face is detected, the timing starts and stops when the face disappears, and the continuous learning time is obtained.

[0066] The processor can adjust the depth of field of the text in the learning material when the continuous learning time meets the preset learning condition. For example, the preset learning condition can be that the continuous learning time exceeds the preset learning time. Since face recognition and learning object marking are performed first, and then the continuous learning time of the learning object without interruption is counted, compared with other methods that only count the screen on time and arbitrarily record the screen on time as the learning time of the learning object, the statistics of continuous learning time in the embodiment of the present application are more scientific and accurate.

[0067] The naked-eye 3D display shows learning materials with adjusted depth of field, so that the learner can see objects or texts at different distances, avoiding the learner's long-term, close-range fixation on a flat surface, and effectively preventing and treating myopia. At the same time, the depth of field adjustment of learning materials can be automatically performed according to the format of the learning materials, the requirements for entering and exiting the screen, and the continuous learning time, greatly reducing the time cost of myopia prevention and treatment.

[0068] The above-mentioned myopia prevention and treatment system determines the myopia prevention and treatment strategy corresponding to the format according to the different formats of the learning materials while the learning subjects are watching the learning materials displayed on the naked-eye 3D display; for the video format, the depth of field of the displayed object in the learning material can be adjusted according to the screen entry and exit requirements; for the text format, the depth of field of the text in the learning material can be adjusted according to the continuous learning time of the learning subjects; since the learning materials displayed on the naked-eye 3D display can be automatically adjusted according to the format of the learning materials, the screen entry and exit requirements and the continuous learning time, the learning subjects do not need to stop the ongoing learning, and the continuity of the learning process of the learning subjects will not be interrupted. Instead, myopia prevention and treatment is automatically carried out during the learning process, which is beneficial to improving the learning efficiency of the learning subjects and greatly reducing the time cost of myopia prevention and treatment.

[0069] In an exemplary embodiment, the processor is also used to, when the entry and exit requirements indicate that the display object is to be displayed off-screen, determine the off-screen depth of field corresponding to the off-screen display, and adjust the depth of field corresponding to the display object in the learning material to the off-screen depth of field; when the entry and exit requirements indicate that the display object is to be displayed on-screen, determine the on-screen depth of field corresponding to the on-screen display, and adjust the depth of field corresponding to the display object in the learning material to the on-screen depth of field.

[0070] Among them, when the entry and exit screen requirement indicates that the display object is to be displayed off-screen, the depth of field corresponding to the display object in the learning material can be adjusted to the off-screen depth of field corresponding to the off-screen display; when the entry and exit screen requirement indicates that the display object is to be displayed on-screen, the depth of field corresponding to the display object in the learning material can be adjusted to the on-screen depth of field corresponding to the on-screen display; when the entry and exit screen requirement indicates that the display object is to be displayed on the middle screen, the depth of field corresponding to the display object in the learning material can be adjusted to the on-screen depth of field corresponding to the middle-screen display.

[0071] By setting the depth of field of the display object, the display object can present different screen-in and screen-out effects on the naked-eye 3D display. Figure 6 The figure shows a schematic diagram of setting the depth of field of a display object in one embodiment. Wherein, plane b is the zero plane. If the depth of field of object B is set on plane b, when the naked-eye 3D display is performed, the image of object B is displayed in the middle screen, and the image of object B falls on the display surface. Plane a is the farthest viewing distance. If the depth of field of object A is set between plane a and plane b, when the naked-eye 3D screen is displayed, the image of object A is displayed on the screen, and the image of object A falls behind the display. Plane c is the closest viewing distance. If the depth of field of object C is set between plane c and plane b, when the naked-eye 3D display is displayed, the image of object C is displayed off the screen, and the image of object C falls in front of the display.

[0072] In some embodiments, when there are multiple display objects in the learning material, the entry and exit screen requirements may indicate the entry and exit screen display effect of each display object.

[0073] In some embodiments, the screen entry and exit requirement can also be adjusted at a preset time or according to a preset frequency. The screen entry and exit requirement can be flexibly adjusted according to the vision of the learning object.

[0074] In this embodiment, the corresponding depth of field is determined by the off-screen, on-screen or mid-screen display indicated by the entry and exit requirements, so as to adjust the depth of field of the learning materials, which is beneficial for the learning subjects to view display objects at different distances, thereby achieving the function of myopia prevention and treatment; the depth of field of the learning materials can be automatically adjusted, which is beneficial to improving the learning efficiency of the learning subjects and greatly reducing the time cost of myopia prevention and treatment; the entry and exit requirements also indicate the display position of the display object when the off-screen display occurs, which can increase the flexibility of adjusting the depth of field of the display object.

[0075] In one of the embodiments, there are M display objects; the processor is further used to determine the off-screen depth of field corresponding to each of the N display objects according to the off-screen distances corresponding to each of the N display objects in the entry and exit requirements when the entry and exit requirements indicate that the N display objects are to be displayed off-screen; M is greater than or equal to N.

[0076] Wherein, when there are multiple display objects in the learning material, the entry and exit screen requirement may indicate the entry and exit screen display effect of each display object. For example, there are M display objects in the learning material, and the display objects displayed on the screen are N of them.

[0077] In some embodiments, the screen entry and exit requirements indicate the corresponding screen exit distances of the N off-screen display objects, and then the corresponding screen exit depths are determined according to the off-screen distances. For example, the closer the depth of field setting of object C is to plane c, that is, the closer the display position of object C is to plane c, the farther the screen exit distance of the image of object C is when displayed on the naked-eye 3D screen.

[0078] In this embodiment, the display objects displayed on the screen and the screen exit distance of each display object are indicated by the entry and exit screen requirements. Each display object can have a different screen exit distance, which is beneficial to ensure that the learning object can see display objects at different distances, thereby improving the myopia prevention and treatment effect; the entry and exit screen requirements can be personalized according to the learning object's vision, thereby ensuring the best myopia prevention and treatment effect for different learning objects.

[0079] In one embodiment, there are M display objects; the processor is further used to determine the on-screen depth of field corresponding to each of the P display objects according to the on-screen distance corresponding to each of the P display objects in the on-screen requirements when the on-screen requirements indicate that P display objects are to be displayed on-screen; M is greater than or equal to P.

[0080] In the case where there are multiple display objects in the learning material, the entry and exit screen requirement may indicate the entry and exit screen display effect of each display object. For example, there are M display objects in the learning material, and the display objects displayed on the screen are P of them.

[0081] In some embodiments, the entry and exit requirements indicate the entry distances corresponding to the P display objects displayed on the screen, and then the corresponding entry depths are determined according to the entry distances. For example, the closer the depth of field of object A is set to plane a, that is, the closer the display position of object A is to plane a, the farther the screen distance of the image of object A is when displayed on the naked eye 3D screen.

[0082] In this embodiment, the display objects displayed on the screen and the screen entry distance of each display object are indicated by the entry and exit requirements. Each display object can have a different screen entry distance, which is beneficial to ensure that the learning object can see display objects at different distances, thereby improving the myopia prevention and treatment effect. The entry and exit requirements can be personalized according to the learning object's vision, thereby ensuring the best myopia prevention and treatment effect for different learning objects.

[0083] In one of the embodiments, the processor is also used to, when a currently acquired facial image belongs to a different learning object than a last acquired facial image, restart the timing from the current acquisition moment; when the continuous learning time reaches a preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0084] Among them, the currently acquired face image belongs to a different learning object compared to the last acquired face image, indicating that the learning object has interrupted the learning process and is restarting the learning with a different learning object, that is, the user before and after the learning interruption is not the same learning object. At this time, the system will reset the text eye protection mode and restart the timing from the current acquisition time based on the new learning object. In this way, when the continuous learning time of the new learning object reaches the preset time, the depth of field of the text in the learning material is adjusted to prevent and treat myopia for the new learning object.

[0085] In this embodiment, by restarting the timing from the current acquisition time when the learning object changes before and after the learning is interrupted, myopia prevention and treatment is performed on the new learning object, avoiding the impact of the myopia prevention and treatment process of the previous learning object on the myopia prevention and treatment of the new learning object; after the learning object is replaced, myopia prevention and treatment can automatically adapt to the new learning object without spending the time of the learning object, which greatly reduces the time cost of myopia prevention and treatment.

[0086] In one of the embodiments, the processor is also used to, when a currently acquired facial image belongs to the same learning object as a last acquired facial image, obtain the interval between the current acquisition moment and the last acquisition moment; when the interval is greater than a preset rest time, restart the timing from the current acquisition moment; when the interval is not greater than the preset rest time, continue the timing from the last acquisition moment; when the continuous learning time reaches the preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0087] Among them, the currently acquired facial image belongs to the same learning object as the last acquired facial image, indicating that the user before and after the learning interruption is the same learning object. The processor will determine whether the interval duration is greater than the preset rest duration. If it is greater, it means that the rest time is sufficient and the timing can be restarted from the current acquisition moment; if it is not greater, it means that the rest time is insufficient and it is necessary to continue timing from the last acquisition moment, thereby continuing to accumulate the continuous learning time from the last acquisition moment until the continuous learning time reaches the preset time, and then adjust the depth of field of the text in the learning material to continue to prevent and treat myopia for the learning object.

[0088] In this embodiment, by judging whether the interval duration is greater than the preset rest duration while the learning object remains unchanged before and after the learning interruption, the timing is restarted when the rest time is sufficient, and the timing continues to be accumulated from the time of the last interruption when the rest time is insufficient. The depth of field adjustment can be flexibly adjusted according to the interruption situation of the learning object, thereby ensuring the myopia prevention and treatment effect of the learning object.

[0089] In an exemplary embodiment, Figure 7 The figure shows a flow chart of myopia prevention and treatment based on a myopia prevention and treatment system in one embodiment. When the learning object starts to learn, the processor first determines the format of the learning material. If it is a video format, the processor converts the video of the learning material into a naked-eye 3D video with myopia prevention and treatment function through software, and then plays it through a naked-eye 3D display for the learning object to watch. The video material is converted by software, mainly converting different objects in the video into different screen entry and exit modes. Figure 8The figure shows a schematic diagram of a method for converting video format materials into naked-eye 3D videos with myopia prevention and treatment functions in one embodiment. For example, the object W1 in the video is set between plane b and plane c, and when the learning object watches, it is displayed off the screen, and the object image W1' falls in front of the display; the object W2 is set on plane b, and when the learning object watches, these objects are displayed in the middle screen, and the image W2' falls exactly on the display surface; the object W3 is set between plane a and plane b, and when the learning object watches, it is displayed on the screen, and the object image W3' falls behind the display. When the learning object watches the converted naked-eye 3D video material through the naked-eye 3D display, the eyes can see images of different distances such as the off-screen W1', the middle screen W2', and the on-screen W3', and the lens and ciliary muscle are alternately contracted and relaxed, avoiding the learning object from fixating on a plane for a long time and at a close distance, and effectively preventing and treating myopia.

[0090] If the learning material is in text format, the processor will start the eye protection mode in text format, first perform face recognition, identify and mark the current learning object, then start timing, and start continuous learning time statistics. The learning object studies normally without interruption, that is, does not leave the naked eye 3D display halfway. In this case, when the continuous learning time reaches the system-set duration, the processor will automatically adjust the depth of field of the text and the distance between the text and the screen on the naked eye 3D display, so that the learning object can see text images at different distances, avoiding the learning object's long-term, close-range flat fixation, and effectively preventing and treating myopia. If the learning object suspends learning during the period, that is, leaves the naked eye 3D display halfway. After interrupting learning, if the person who comes back to study is another learning object, that is, the user before and after the learning interruption is not the same learning object, the processor will reset the text eye protection mode and restart timing based on the new learning object. If after terminating learning, the original learning object is still used to study, that is, the user before and after the learning interruption is the same learning object, then the processor will determine whether the interval duration of the learning object's interruption is greater than the preset rest time. If the interval duration is greater than the preset rest time, the processor will reset the text eye protection mode and restart the timing. If the interval duration of learning interruptions is relatively short, that is, the interval duration is not greater than the preset rest time, when the learning object continues to start learning, the processor will continue to accumulate learning time based on the continuous learning time before the learning interruption. When the accumulated continuous learning time reaches the preset time, the processor will automatically adjust the depth of field of the text and the distance of the text entering and exiting the screen on the naked-eye 3D display, so that the learning object can see text images at different distances, avoiding the situation where the learning object fixates on a flat surface for a long time and at close range, and effectively preventing and treating myopia.

[0091] In an exemplary embodiment, Fig. 9As shown, a myopia prevention and treatment method is provided, and the method is applied to a processor in a myopia prevention and treatment system as an example for description, including the following steps 902 to 906. Among them:

[0092] Step 902: while the learning subject is viewing the learning material displayed on the naked-eye 3D display, the format of the learning material is obtained, and a myopia prevention and treatment strategy corresponding to the format is determined.

[0093] Step 904: When the format is a video format, adjust the depth of field of the display object in the learning material according to the requirements of entering and exiting the screen.

[0094] Step 906, when the format is text format, obtain a facial image, and determine the continuous learning time of the learning object based on the facial image; adjust the depth of field of the text in the learning material based on the continuous learning time; the learning material with adjusted depth of field is used to send to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

[0095] The processor is the main processing unit, for example, it can be a CPU, GPU, etc. Since the learning subject's continuous long-term flat fixation may cause myopia problems, the embodiment of the present application mainly uses the processor to adjust the depth of field of the learning material displayed on the naked-eye 3D display while the learning subject is watching the learning material, so that the learning material with adjusted depth of field is displayed on the naked-eye 3D display, thereby realizing the myopia prevention and treatment function.

[0096] The screen entry and exit requirements refer to the requirements for displaying the learning materials out of the screen, into the screen, or in the middle screen. Out of the screen means that when the naked eye 3D display is displayed, the object image is convex outside the screen, that is, the display content is in front of the screen. In the screen means that when the naked eye 3D display is displayed, the object image is concave inside the screen, that is, the display content is on the back of the screen. The middle screen means that when the naked eye 3D display is displayed, the object image is on the surface of the screen, that is, the display content is on the surface of the screen. The screen entry and exit requirements indicate the requirements for displaying different display objects in the learning materials out of the screen, into the screen, or in the middle screen. Display objects refer to objects in the learning materials. For example, the learning materials contain 3 different objects, object A, object B, and object C. The screen entry and exit requirements indicate that object A is displayed in the screen, object B is displayed in the middle screen, and object C is displayed out of the screen.

[0097] When the learning materials are in video format, different screen entry and exit requirements can be achieved by adjusting the depth of field of the display objects in the learning materials, so that the learning materials can meet the myopia prevention and treatment function when played on a naked-eye 3D display.

[0098] When the learning materials are in text format, the myopia prevention and treatment function can be achieved by adjusting the depth of field of the text in the learning materials.

[0099] The continuous learning time refers to the duration of the learning material displayed on the naked eye 3D display by the learning object. The continuous learning time can be determined by the duration of the face image. For example, the camera has a face recognition function, and through face recognition of the captured image, when the face is detected, the timing starts and stops when the face disappears, and the continuous learning time is obtained.

[0100] The processor can adjust the depth of field of the text in the learning material when the continuous learning time meets the preset learning condition. For example, the preset learning condition can be that the continuous learning time exceeds the preset learning time. Since face recognition and learning object marking are performed first, and then the continuous learning time of the learning object without interruption is counted, compared with other methods that only count the screen on time and arbitrarily record the screen on time as the learning time of the learning object, the statistics of continuous learning time in the embodiment of the present application are more scientific and accurate.

[0101] The naked-eye 3D display shows learning materials with adjusted depth of field, so that the learner can see objects or texts at different distances, avoiding the learner's long-term, close-range fixation on a flat surface, and effectively preventing and treating myopia. At the same time, the depth of field adjustment of learning materials can be automatically performed according to the format of the learning materials, the requirements for entering and exiting the screen, and the continuous learning time, greatly reducing the time cost of myopia prevention and treatment.

[0102] In the above-mentioned myopia prevention and treatment method, the myopia prevention and treatment strategy corresponding to the format is determined according to the different formats of the learning materials while the learning subject is watching the learning materials displayed on the naked-eye 3D display; for the video format, the depth of field of the display object in the learning material can be adjusted according to the screen entry and exit requirements; for the text format, the depth of field of the text in the learning material can be adjusted according to the continuous learning time of the learning subject; since the learning materials displayed on the naked-eye 3D display can be automatically adjusted according to the format of the learning materials, the screen entry and exit requirements and the continuous learning time, the learning subject does not need to stop the ongoing learning, and the continuity of the learning process of the learning subject will not be interrupted. Instead, myopia prevention and treatment is automatically carried out during the learning process, which is beneficial to improving the learning efficiency of the learning subject and greatly reducing the time cost of myopia prevention and treatment.

[0103] In an exemplary embodiment, the depth of field of the display object in the learning material is adjusted according to the screen entry and exit requirements, including: when the screen entry and exit requirements indicate that the display object is to be displayed off-screen, determining the off-screen depth of field corresponding to the off-screen display, and adjusting the depth of field corresponding to the display object in the learning material to the off-screen depth of field; when the screen entry and exit requirements indicate that the display object is to be displayed on-screen, determining the on-screen depth of field corresponding to the on-screen display, and adjusting the depth of field corresponding to the display object in the learning material to the on-screen depth of field.

[0104] In an exemplary embodiment, there are M display objects; according to the entry and exit screen requirements, the depth of field of the display objects in the learning material is adjusted, including: when the entry and exit screen requirements indicate that N display objects are to be displayed off-screen, according to the exit screen distances corresponding to each of the N display objects in the entry and exit screen requirements, determining the off-screen depth of field corresponding to each of the N display objects; M is greater than or equal to N.

[0105] In an exemplary embodiment, there are M display objects; according to the entry and exit requirements, the depth of field of the display objects in the learning material is adjusted, including: when the entry and exit requirements indicate that P display objects are to be displayed on the screen, according to the entry and exit distances corresponding to the P display objects in the entry and exit requirements, determining the entry depth of field corresponding to each of the P display objects; M is greater than or equal to P.

[0106] In an exemplary embodiment, the myopia prevention and treatment method also includes: when the currently acquired facial image belongs to a different learning object compared to the last acquired facial image, retiming from the current acquisition moment; when the continuous learning time reaches a preset time, adjusting the depth of field of the text in the learning material; and sending the learning material with adjusted depth of field to the naked-eye 3D display.

[0107] In an exemplary embodiment, the myopia prevention and treatment method also includes: when a currently acquired facial image belongs to the same learning object as the last acquired facial image, acquiring the interval between the current acquisition moment and the last acquisition moment; when the interval is greater than a preset rest time, re-timing from the current acquisition moment; when the interval is not greater than a preset rest time, continuing to time from the last acquisition moment; when the continuous learning time reaches a preset time, adjusting the depth of field of the text in the learning material; and sending the learning material with adjusted depth of field to the naked-eye 3D display.

[0108] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0109] Based on the same inventive concept, the embodiment of the present application also provides a myopia prevention and treatment device for implementing the myopia prevention and treatment method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more myopia prevention and treatment device embodiments provided below can refer to the limitations of the myopia prevention and treatment method above, and will not be repeated here.

[0110] In an exemplary embodiment, Fig.10 As shown, a myopia prevention and treatment device 100 is provided, comprising: a file storage unit 110, a display unit 120, a learning material format determination unit 130, a face recognition unit 140, a timing unit 150 and an image depth of field processing unit 160, wherein:

[0111] A file storage unit 110, used for storing learning materials;

[0112] A display unit 120, for displaying learning materials;

[0113] The learning material format determination unit 130 is used to obtain the format of the learning material and determine the myopia prevention and treatment strategy corresponding to the format when the learning object is viewing the learning material displayed by the display unit;

[0114] A face recognition unit 140 is used to recognize a face image in an image captured by a camera;

[0115] A timing unit 150, used to determine the continuous learning time of the learning object according to the face image;

[0116] The image depth of field processing unit 160 is used to adjust the depth of field of the display object in the learning material according to the requirements of the screen when the format is a video format; when the format is a text format, the depth of field of the text in the learning material is adjusted according to the continuous learning time; the learning material after the depth of field adjustment is sent to the display unit;

[0117] The display unit 120 is further configured to display the learning material with the depth of field adjusted when receiving the learning material with the depth of field adjusted.

[0118] The above-mentioned myopia prevention and treatment device determines the myopia prevention and treatment strategy corresponding to the format according to the different formats of the learning materials while the learning subject is watching the learning materials displayed on the naked-eye 3D display; for the video format, the depth of field of the displayed object in the learning material can be adjusted according to the screen entry and exit requirements; for the text format, the depth of field of the text in the learning material can be adjusted according to the continuous learning time of the learning subject; because the learning materials displayed on the naked-eye 3D display can be automatically adjusted according to the format of the learning materials, the screen entry and exit requirements and the continuous learning time, the learning subject does not need to stop the ongoing learning, and the continuity of the learning process of the learning subject will not be interrupted. Instead, myopia prevention and treatment is automatically performed during the learning process, which is beneficial to improving the learning efficiency of the learning subject and greatly reducing the time cost of myopia prevention and treatment.

[0119] In some embodiments, the depth of field of the display object in the learning material is adjusted according to the screen entry and exit requirements, and the image depth of field processing unit 160 is also used to: when the screen entry and exit requirements indicate that the display object is to be displayed off-screen, determine the off-screen depth of field corresponding to the off-screen display, and adjust the depth of field corresponding to the display object in the learning material to the off-screen depth of field; when the screen entry and exit requirements indicate that the display object is to be displayed on-screen, determine the on-screen depth of field corresponding to the on-screen display, and adjust the depth of field corresponding to the display object in the learning material to the on-screen depth of field.

[0120] In some embodiments, there are M display objects; according to the entry and exit requirements, the depth of field of the display objects in the learning material is adjusted, and the image depth of field processing unit 160 is also used for: when the entry and exit requirements indicate that N display objects are to be displayed off-screen, according to the off-screen distances corresponding to the N display objects in the entry and exit requirements, determining the off-screen depth of field corresponding to each of the N display objects; M is greater than or equal to N.

[0121] In some embodiments, there are M display objects; according to the entry and exit requirements, the depth of field of the display objects in the learning material is adjusted, and the image depth of field processing unit 160 is also used for: when the entry and exit requirements indicate that P display objects are to be displayed on the screen, according to the entry and exit distances corresponding to the P display objects in the entry and exit requirements, determining the entry depth of field corresponding to each of the P display objects; M is greater than or equal to P.

[0122] In some embodiments, the myopia prevention and treatment device 100 also includes a first processing module, which is used to: when the currently acquired facial image belongs to a different learning object compared to the last acquired facial image, restart the timing from the current acquisition time; when the continuous learning time reaches a preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0123] In some embodiments, the myopia prevention and treatment device 100 also includes a second processing module, which is used to: when the currently acquired facial image belongs to the same learning object as the last acquired facial image, obtain the interval between the current acquisition moment and the last acquisition moment; when the interval is greater than the preset rest time, restart the timing from the current acquisition moment; when the interval is not greater than the preset rest time, continue timing from the last acquisition moment; when the continuous learning time reaches the preset time, adjust the depth of field of the text in the learning material; and send the learning material with adjusted depth of field to the naked-eye 3D display.

[0124] Each module in the above-mentioned myopia prevention and treatment device can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0125] In an exemplary embodiment, a myopia prevention and treatment system is provided, such as Fig.11 The figure shows a hardware structure block diagram of a myopia prevention and treatment system in one embodiment. The myopia prevention and treatment system includes a camera, a memory, a processor and a naked-eye 3D display. Among them, the camera is an input device, which is mainly used for face recognition and is a necessary device for identifying and marking learning objects; the memory is used to store learning materials, which can be in video or text format; the processor can be a CPU or GPU, etc., which is used to determine the format of learning materials, adjust the depth of field of objects, image display, face recognition, timing, etc. It should be noted that Fig.11 Only the main hardware directly related to the myopia prevention and treatment function is listed, and not all the hardware units of the hardware system of this embodiment are listed.

[0126] In some embodiments, the myopia prevention and treatment system also has a vision detection functional unit for detecting the degree of myopia and eyes fatigue of the learning subject, and dynamically adjusting the screen entry and exit requirements and the preset duration according to the degree of myopia and eyes fatigue, so as to carry out targeted myopia prevention and treatment for different learning subjects, thereby helping to improve the myopia prevention and treatment effect.

[0127] In some embodiments, the myopia prevention and treatment system also has a vision training function unit for myopia prevention and treatment. The learning subject can use the vision training function unit to use the built-in vision training videos and software to perform vision training for preventing and treating myopia.

[0128] In some embodiments, the naked-eye 3D display in the myopia prevention and treatment system also has an anti-blue light function, which can effectively protect the eyes of the learning subject.

[0129] In some embodiments, the naked-eye 3D display in the myopia prevention and treatment system may also adopt a naked-eye 3D display based on grating occlusion technology, liquid crystal directional light source technology, etc.

[0130] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Fig.12 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (Near Field Communication, NFC) or other technologies. When the computer program is executed by the processor, a method for preventing and treating myopia is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0131] Those skilled in the art will understand that Fig.12 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0132] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0133] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0134] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0135] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0136] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0137] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0138] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A myopia prevention and treatment system, characterized in that: The system comprises: Glasses-free 3D display for displaying learning materials; A camera, used to collect facial images of learning objects; The processor is used for obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format when the learning object is viewing the learning material displayed on the naked-eye 3D display; when the format is a video format, adjusting the depth of field of the display object in the learning material according to the requirements of entering and exiting the screen; when the format is a text format, determining the continuous learning time of the learning object according to the face image; adjusting the depth of field of the text in the learning material according to the continuous learning time; and sending the learning material with the adjusted depth of field to the naked-eye 3D display; The naked-eye 3D display is also used to display the learning material with the depth of field adjusted upon receiving the learning material with the depth of field adjusted.

2. The system according to claim 1, characterized in that The processor is further configured to, when the entry-exit screen requirement indicates that the display object is to be displayed off-screen, determine an off-screen depth of field corresponding to the off-screen display, and adjust the depth of field corresponding to the display object in the learning material to the off-screen depth of field; In the case where the entry and exit screen requirement indicates that the display object is an entry screen display, an entry screen depth of field corresponding to the entry screen display is determined, and the depth of field corresponding to the display object in the learning material is adjusted to the entry screen depth of field.

3. The system according to claim 2, characterized in that There are M display objects; the processor is also used to determine the off-screen depth of field corresponding to each of the N display objects according to the off-screen distances corresponding to each of the N display objects in the entry and exit requirements when the entry and exit requirements indicate that N display objects are to be displayed off-screen; M is greater than or equal to N.

4. The system according to claim 2, characterized in that There are M display objects; the processor is also used to determine the on-screen depth of field corresponding to each of the P display objects according to the on-screen distances corresponding to each of the P display objects in the on-screen requirements when the on-screen requirements indicate that P display objects are to be displayed on the screen; M is greater than or equal to P.

5. The system according to claim 1, characterized in that The processor is further configured to, when the currently acquired face image belongs to a different learning object than the previously acquired face image, restart the timing from the current acquisition moment; When the continuous learning time reaches a preset time, the depth of field of the text in the learning material is adjusted; and the learning material with the adjusted depth of field is sent to the naked-eye 3D display.

6. The system according to claim 1, characterized in that The processor is further configured to, when the currently acquired face image belongs to the same learning object as the last acquired face image, acquire the interval between the current acquisition moment and the last acquisition moment; when the interval is longer than the preset rest time, restart the timing from the current acquisition moment; when the interval is not longer than the preset rest time, continue the timing from the last acquisition moment; When the continuous learning time reaches a preset time, the depth of field of the text in the learning material is adjusted; and the learning material with the adjusted depth of field is sent to the naked-eye 3D display.

7. A method for preventing and treating myopia, characterized in that: Applied to the myopia prevention and treatment system according to any one of claims 1 to 6, the method comprising: In the process of the learning subject viewing the learning material displayed on the naked-eye 3D display, obtaining the format of the learning material and determining the myopia prevention and treatment strategy corresponding to the format; When the format is a video format, adjusting the depth of field of the display object in the learning material according to the requirements of entering and exiting the screen; When the format is a text format, a facial image is obtained, and the continuous learning time of the learning object is determined based on the facial image; according to the continuous learning time, the depth of field of the text in the learning material is adjusted; the learning material with adjusted depth of field is used to be sent to the naked-eye 3D display to instruct the naked-eye 3D display to display the learning material with adjusted depth of field when receiving the learning material with adjusted depth of field.

8. A myopia prevention and treatment device, characterized in that: The device comprises: A file storage unit for storing learning materials; A display unit, used for displaying the learning material; a learning material format determination unit, configured to obtain the format of the learning material and determine a myopia prevention and treatment strategy corresponding to the format when the learning object is viewing the learning material displayed by the display unit; A face recognition unit, used to recognize a face image in an image captured by a camera; A timing unit, used to determine the continuous learning time of the learning object according to the face image; An image depth of field processing unit, used for adjusting the depth of field of the display object in the learning material according to the entry and exit screen requirements when the format is a video format; and adjusting the depth of field of the text in the learning material according to the continuous learning time when the format is a text format; the learning material after the depth of field adjustment is sent to the display unit; The display unit is further configured to, upon receiving the learning material with the depth of field adjusted, display the learning material with the depth of field adjusted.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to claim 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

Images