A VR module detection method and device

Abstract

This application relates to a VR module detection method and device, belonging to the field of optical detection. The method includes the following steps: using the screen of the VR module to be tested to display a preset detection sample; adjusting the orientation of the first image acquisition device and the VR module to be tested so that the detection lens of the first image acquisition device faces the center point of the left-eye field of view or the center point of the right-eye field of view of the VR lens of the VR module to be tested; using the first image acquisition device to take a picture of the screen through the VR lens to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals; based on the image to be analyzed, analyzing the display accuracy of the VR module to be tested. This application is based on a preset image acquisition device, and cooperates with the VR module to be tested to simulate and obtain an image to be analyzed, and conducts the detection work of the VR module, effectively avoiding the error of subjective judgment and improving the detection accuracy.

Description

Technical Field

[0001] This application relates to the field of optical detection, and particularly to a method and device for detecting a VR module. Background Art

[0002] With the improvement of living quality, VR technology is increasingly applied to people's entertainment and life. As the carrier of VR technology, the quality of the VR glasses module directly affects the customer's viewing experience. With the continuous pursuit of the display effect of VR glasses, the quality requirements for VR modules are getting higher and higher.

[0003] The existing VR module detection mainly relies on manual detection, with low detection efficiency. The detection fatigue of the same person for a long time or the detection standard differences of different people will affect the detection results of VR modules, resulting in large detection errors.

[0004] Therefore, a VR module detection technology is needed to meet the current detection requirements. Summary of the Invention

[0005] This application provides a method and device for detecting a VR module. Based on a preset image acquisition device, it cooperates with the VR module to be tested to simulate and obtain an image to be analyzed, and conducts the detection work of the VR module, effectively avoiding the error of subjective judgment and improving the detection accuracy.

[0006] In a first aspect, this application provides a method for detecting a VR module, and the method includes the following steps:

[0007] Use the screen of the VR module to be tested to display a preset test sample;

[0008] Adjust the orientation of the first image acquisition device and the VR module to be tested, so that the detection lens of the first image acquisition device is directly opposite the center point of the left eye field of view or the center point of the right eye field of view of the VR lens of the VR module to be tested;

[0009] Use the first image acquisition device to take a picture of the screen through the VR lens, and obtain an image to be analyzed including a plurality of concentric circles arranged at intervals;

[0010] Based on the image to be analyzed, analyze the display accuracy of the VR module to be tested.

[0011] Preferably, the same concentric circle of the test sample includes at least two symmetrically distributed concentric arcs, and the pixel sizes of the image points on the concentric arcs change in a preset order;

[0012] The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0013] Specifically, when analyzing the display accuracy of the VR module to be tested based on the image to be analyzed, the following steps are included:

[0014] Obtain the pixel sizes of each image point in the image to be analyzed;

[0015] Based on the pixel size corresponding to the image point with the smallest pixel size, determine the display accuracy of the VR module to be tested.

[0016] Further, after obtaining the image to be analyzed including a plurality of concentric circles arranged at intervals, the VR module detection method further includes the following steps:

[0017] Based on the image to be analyzed corresponding to the center point of the left-eye field of view of the VR lens, calculate and obtain the left display field of view range corresponding to the center point of the left-eye field of view of the VR lens;

[0018] Based on the image to be analyzed corresponding to the center point of the right-eye field of view of the VR lens, calculate and obtain the right display field of view range corresponding to the center point of the right-eye field of view of the VR lens;

[0019] Select the maximum value between the left display field of view range and the right display field of view range as the display field of view range of the VR module to be tested.

[0020] Specifically, in the process of calculating and obtaining the left display field of view range corresponding to the center point of the left-eye field of view of the VR lens based on the image to be analyzed corresponding to the center point of the left-eye field of view of the VR lens, the following steps are included:

[0021] Based on the number of concentric circles in the image to be analyzed corresponding to the center point of the left-eye field of view of the VR lens and the interval distance between the concentric circles, calculate and obtain the width and length of the image to be analyzed corresponding to the center point of the left-eye field of view;

[0022] Based on the width and length of the image to be analyzed corresponding to the center point of the left-eye field of view, calculate and obtain the left display field of view range.

[0023] Specifically, in the process of adjusting the orientation of the first image acquisition device and the VR module to be tested, the following steps are included:

[0024] Place the screen of the VR module to be tested and the VR lens on a preset carrier, and set the VR lens and the display surface of the screen at an interval;

[0025] Use the carrier to horizontally move or rotate the screen and the VR lens synchronously around the vertical direction.

[0026] Preferably, the entrance pupil point of the detection lens is located at the front end of the detection lens, and the field of view angle range of the detection lens is ±70°.

[0027] In a second aspect, the present application provides a VR module detection device, which includes:

[0028] A first image acquisition device, the acquisition end of the first image acquisition device is configured with a detection lens;

[0029] A detection sample output device, which is used to control the screen of the VR module to be tested to display a preset detection sample; wherein,

[0030] The detection lens is arranged at an interval from the display surface of the screen;

[0031] The VR lens of the VR module to be tested is located in the interval area between the screen and the detection lens;

[0032] The first image acquisition device is used to, after adjusting the detection lens to be directly opposite the left eye field center point or the right eye field center point of the VR lens of the VR module to be tested, photograph the screen through the VR lens to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals.

[0033] Specifically, the same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel sizes of the image points on the concentric arcs change in a preset order;

[0034] The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0035] Further, the VR module detection device further includes a stage:

[0036] The stage is used to arrange the screen and the VR lens of the VR module to be tested, and the VR lens is arranged at an interval from the display surface of the screen;

[0037] The stage is further used to synchronously horizontally move or rotate the screen and the VR lens around the vertical direction.

[0038] The beneficial effects brought by the technical solution provided by the present application include:

[0039] 1. Based on the preset image acquisition device, the present application cooperates with the VR module to be tested to perform VR display simulation, acquires the image to be analyzed, and analyzes based on the image to be analyzed, thereby completing the detection work of the VR module, effectively avoiding the error of subjective judgment, and improving the detection accuracy.

[0040] 2. The structure of the present application is simple and the operation is convenient. The staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules. Description of the Drawings

[0041] Glossary of terms:

[0042] AOI: Automated Optical Inspection, automated optical inspection;

[0043] VR: Virtual Reality, virtual reality.

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for description in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a flowchart of the steps of the VR module detection method provided in the embodiments of the present application;

[0046] Figure 2 It is a schematic diagram for simulating the verification of the detection field of view of the VR module detection method provided in the embodiments of the present application;

[0047] Figure 3 It is a schematic diagram for simulating the verification of the detection accuracy of the VR module detection method provided in the embodiments of the present application;

[0048] Figure 4 It is a schematic diagram of the orientation when the VR module detection device provided in the embodiments of the present application is in use;

[0049] In the figure:

[0050] 1. Screen; 2. First image acquisition device; 3. Detection lens; 4. VR lens; 5. Carrier; 6. Detection sample output device. Detailed implementation manners

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0052] The following further elaborates on the embodiments of the present application with reference to the accompanying drawings.

[0053] The embodiments of the present application provide a method and device for detecting a VR module. Based on a preset image acquisition device, it cooperates with the VR module to be tested to simulate VR display, acquires the image to be analyzed, and analyzes the image to be analyzed, thereby completing the detection work of the VR module, effectively avoiding the error of subjective judgment, and improving the detection accuracy.

[0054] To achieve the above technical effects, the general idea of the present application is as follows:

[0055] A method for detecting a VR module, the method includes the following steps:

[0056] S1. Use the screen 1 of the VR module to be tested to display a preset test sample;

[0057] S2. Adjust the orientation of the first image acquisition device 2 and the VR module to be tested so that the detection lens 3 of the first image acquisition device 2 is directly opposite the left-eye field center point or the right-eye field center point of the VR lens 4 of the VR module to be tested;

[0058] S3. Use the first image acquisition device 2 to take a picture of the screen 1 through the VR lens 4 to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals;

[0059] S4. Analyze the display accuracy of the VR module to be tested based on the image to be analyzed.

[0060] The following further details the embodiments of the present application with reference to the accompanying drawings.

[0061] In the first aspect, as shown in Figures 1 to 3 The embodiments of the present application provide a method for detecting a VR module, the method includes the following steps:

[0062] S1. Use the screen 1 of the VR module to be tested to display a preset test sample;

[0063] S2. Adjust the orientation of the first image acquisition device 2 and the VR module to be tested so that the detection lens 3 of the first image acquisition device 2 is directly opposite the left-eye field center point or the right-eye field center point of the VR lens 4 of the VR module to be tested;

[0064] S3. Use the first image acquisition device 2 to take a picture of the screen 1 through the VR lens 4 to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals;

[0065] S4. Analyze the display accuracy of the VR module to be tested based on the image to be analyzed.

[0066] In addition, before step S1, the method further includes the following steps:

[0067] S0. Arrange the first image acquisition device 2 equipped with the detection lens 3, and the detection lens 3 faces the VR lens 4 of the VR module to be tested and the display surface of the screen 1.

[0068] The embodiment of the present application belongs to the AOI technology. Based on a preset image acquisition device, it cooperates with the VR module to be tested for VR display simulation, acquires the image to be analyzed, and analyzes based on the image to be analyzed, thereby completing the detection work of the VR module, effectively avoiding the error of subjective judgment, and improving the detection accuracy.

[0069] When necessary, the image precision of the detection sample can be adjusted;

[0070] Theoretically, based on the RGB image format, the minimum pixel of the image points of the detection sample and the image to be analyzed can be one-third of a pixel point.

[0071] Specifically, the detection sample also includes a plurality of concentric circles arranged at intervals;

[0072] The same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel sizes of the image points on the concentric arcs change in a preset order;

[0073] The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0074] It should be noted that the arrangement form of the image points of the image to be analyzed is the same as that of the image points of the detection sample;

[0075] The same concentric circle of the image to be analyzed includes at least two symmetrically distributed concentric arcs, and the pixel sizes of the image points on the concentric arcs change in a preset order;

[0076] The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0077] Among them, the concentric circles in the image to be analyzed are composed of a plurality of image points, and the pixel sizes of the image points in the image to be analyzed correspond to the display precision of the VR module to be tested.

[0078] When necessary, the concentric circles of the image to be analyzed are arranged at equal intervals.

[0079] Specifically, when analyzing the display precision of the VR module to be tested based on the image to be analyzed, it includes the following steps:

[0080] Obtain the pixel sizes of the image points in the image to be analyzed;

[0081] Determine the display accuracy of the to-be-tested VR module based on the pixel size corresponding to the image point with the smallest pixel size among the pixel sizes of all image points.

[0082] The core of this step is to determine the display accuracy of the to-be-tested VR module according to the minimum value of the pixel sizes of the image points in the to-be-analyzed image.

[0083] Among them, the minimum value of the pixel sizes corresponding to the smallest image point among the image points of the to-be-analyzed image, that is, the minimum pixel size that the to-be-tested VR module can display, can reflect the display performance of the to-be-tested VR module, that is, it can indicate the display accuracy of the to-be-tested VR module.

[0084] Further, after obtaining the to-be-analyzed image including a plurality of concentric circles arranged at intervals, the VR module detection method further includes the following steps:

[0085] Based on the to-be-analyzed image corresponding to the center point of the left-eye field of view of the VR lens 4, calculate and obtain the left display field of view range corresponding to the center point of the left-eye field of view of the VR lens 4;

[0086] Based on the to-be-analyzed image corresponding to the center point of the right-eye field of view of the VR lens 4, calculate and obtain the right display field of view range corresponding to the center point of the right-eye field of view of the VR lens 4;

[0087] Select the maximum value of the left display field of view range and the right display field of view range as the display field of view range of the to-be-tested VR module.

[0088] It should be noted that in the actual detection process, there may be a certain difference between the left display field of view range and the right display field of view range of the same to-be-tested VR module. At this time, the maximum value of the two needs to be selected as the display field of view range of the to-be-tested VR module.

[0089] In the embodiment of the present application, based on a simple detection structure, the operation is convenient, and the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules.

[0090] Therefore, based on this VR module detection technology, the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules, and thus can be used for real-time online detection, improve the detection efficiency, and can also accurately verify the detection field of view and accurately verify the detection accuracy of different fields of view. Compared with traditional technical means, it has the advantages of high detection accuracy and high accuracy rate.

[0091] Specifically, in the step of calculating and obtaining the left display field of view range corresponding to the center point of the left-eye field of view of the VR lens 4 based on the to-be-analyzed image corresponding to the center point of the left-eye field of view of the VR lens 4, the following steps are included:

[0092] Based on the number of concentric circles and the distance between the concentric circles in the to-be-analyzed image corresponding to the center point of the left-eye field of view of the VR lens 4, calculate the width and length of the to-be-analyzed image corresponding to the center point of the left-eye field of view;

[0093] Based on the width and length of the to-be-analyzed image corresponding to the center point of the left-eye field of view, calculate the left display field of view.

[0094] Taking the left display field of view as an example, first obtain the distance between the concentric circles. Usually, the distance between the concentric circles is set to the same value. When necessary, it can be set to different distances, and the distance can be in pixels;

[0095] Furthermore, based on the number of concentric circles and combined with the distance between the concentric circles, the width and length of the to-be-analyzed image can be calculated, and the width and length can also be in pixels;

[0096] Furthermore, multiplying the width by the length can calculate the corresponding left display field of view.

[0097] Similarly, the calculation method of the right display field of view is similar to that of the left display field of view.

[0098] Specifically, in the adjustment of the orientation of the first image acquisition device 2 and the to-be-tested VR module, the following steps are included:

[0099] Place the screen 1 of the to-be-tested VR module and the VR lens 4 on a preset stage 5, and the VR lens 4 is spaced from the display surface of the screen 1;

[0100] Use the stage 5 to horizontally move or rotate the screen 1 and the VR lens 4 synchronously around the vertical direction.

[0101] Among them, when horizontally moving or rotating the screen 1 and the VR lens 4 synchronously around the vertical direction, in specific operations, the to-be-tested VR module can be horizontally moved or rotated around the vertical direction, which can adjust the display situation of the to-be-tested VR module, thereby adjusting the to-be-analyzed image.

[0102] Preferably, the entrance pupil point of the detection lens 3 is located at the forefront of the detection lens 3, and the field of view angle range of the detection lens 3 is ±70°.

[0103] Specifically, the first image acquisition device 2 is a area array camera;

[0104] When in use, an area array camera can obtain an image in a format such as RGB.

[0105] In addition, this method has certain requirements for performance parameters. For example:

[0106] When the detection lens 3 is used in cooperation with the VR lens 4, the image distortion ratio is less than 2%.

[0107] When necessary, the center lines of the screen 1, the acquisition end of the first image acquisition device 2, and the detection lens 3 coincide.

[0108] Based on the technical solution of the embodiment of the present application, in actual operation, the specific situation is as follows:

[0109] As Figure 2 shown, Figure 2 FIG. is a verification simulation diagram of the detection field of view corresponding to the screen 1 and the VR lens 4 of the VR module to be tested, that is, the image to be analyzed corresponding to the center point of the left-eye field of view;

[0110] Figure 2 In, the center of the concentric circles represents the center point of the left-eye field of view of the VR lens 4, and the intervals between each concentric circle are equal. Through Figure 2 the number of concentric circles in, the detection field of view can be verified by using the above method.

[0111] It should be noted that the center point of the left-eye field of view is relatively offset to the right, while the center point of the right-eye field of view is relatively offset to the left.

[0112] As shown in the accompanying drawings of the specification Figure 3 shown, Figure 3 FIG. is a verification simulation diagram of the detection accuracy corresponding to the VR lens 4, that is, a detailed view of the image to be analyzed. Based on Figure 3 , the display accuracy of the VR lens 4 can be clearly analyzed and obtained.

[0113] As Figure 3 shown, the image points on each concentric circle include 1*1, 1*2, 1*3, 1*4, 1*5, 2*2, 2*3, 2*4, 2*5, 3*3, 3*4, 3*5, where

[0114] 1*1 means 1 pixel point in length and 1 pixel point in width, and so on.

[0115] Figure 3 In, as shown in the marked square, the simulated defect sizes on each line are the same, that is, a line composed of defects of the same size. The defect is the interval between two pixel points on each line. The simulated defect sizes on each line being the same means that the intervals between two image points on each line are the same. According to Figure 3 it can also verify the detection field of view. By Figure 3 it can not only verify the accuracy of the system to detect defects, but also verify the detection accuracy of defects in different fields of view.

[0116] During actual inspection, the precision image can be set according to your own needs. The precision is set in pixel points. The process of verifying the defect precision is the smallest defect size that can be collected from the innermost circle to the outermost circle. For example, if the smallest defect that can be captured is a 1*1 pixel defect, that is, an image point with a pixel size of 1*1 can be captured, then the defect precision is 1*1. If the smallest defect that can be captured is a 1*2 pixel defect, that is, an image point with a pixel size of 1*2 can be captured, then the defect precision is 1*2. The precision can be adjusted according to your own needs, through Figure 3 conduct actual verification.

[0117] In addition, the VR module detection device based on this VR module detection method includes:

[0118] The first image acquisition device 2, and the acquisition end of the first image acquisition device 2 is configured with a detection lens 3;

[0119] The detection sample output device 6 is used to control the screen 1 of the VR module to be tested to display a preset detection sample; among them,

[0120] The detection lens 3 is arranged at an interval from the display surface of the screen 1;

[0121] The VR lens 4 of the VR module to be tested is located in the interval area between the screen 1 and the detection lens 3;

[0122] The first image acquisition device 2 is used to, after adjusting the detection lens 3 to face the center point of the left eye field of view or the center point of the right eye field of view of the VR lens 4 of the VR module to be tested, shoot the screen 1 through the VR lens 4 to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals.

[0123] Further, the VR module detection device further includes a stage 5:

[0124] The stage 5 is used to arrange the screen 1 and the VR lens 4 of the VR module to be tested, and the VR lens 4 is arranged at an interval from the display surface of the screen 1;

[0125] The stage 5 is further used to synchronously move the screen 1 and the VR lens 4 horizontally or rotate them around the vertical direction.

[0126] In a second aspect, referring to Figure 4 as shown, the embodiment of the present application provides a VR module detection device, which can execute the VR module detection method mentioned in the first aspect. The device includes:

[0127] The first image acquisition device 2, and the acquisition end of the first image acquisition device 2 is configured with a detection lens 3;

[0128] The test sample output device 6 is used to control the screen 1 of the VR module to be tested to display a preset test sample; among them,

[0129] The detection lens 3 is arranged at an interval from the display surface of the screen 1;

[0130] The VR lens 4 of the VR module to be tested is located in the interval area between the screen 1 and the detection lens 3;

[0131] The first image acquisition device 2 is used to photograph the screen 1 through the VR lens 4 after adjusting the detection lens 3 to face the center point of the left eye field of view or the center point of the right eye field of view of the VR lens 4 of the VR module to be tested, so as to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals.

[0132] In the embodiment of the present application, based on a preset image acquisition device, cooperate with the VR module to be tested to perform VR display simulation, collect the image to be analyzed, and analyze based on the image to be analyzed, so as to complete the detection work of the VR module, effectively avoiding the error of subjective judgment and improving the detection accuracy.

[0133] When necessary, the image precision of the test sample can be adjusted;

[0134] Theoretically, based on the RGB image format, the minimum pixel of the image points of the test sample and the image to be analyzed can be one-third of a pixel point.

[0135] Specifically, the test sample also includes a plurality of concentric circles arranged at intervals;

[0136] The same concentric circle of the test sample includes at least two symmetrically distributed concentric arcs, and the pixel point sizes of the image points on the concentric arcs change in a preset order;

[0137] The image points with the same pixel point size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0138] It should be noted that the arrangement form of the image points of the image to be analyzed is the same as that of the image points of the test sample;

[0139] The same concentric circle of the image to be analyzed includes at least two symmetrically distributed concentric arcs, and the pixel point sizes of the image points on the concentric arcs change in a preset order;

[0140] The image points with the same pixel point size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

[0141] Among them, the concentric circles in the image to be analyzed are composed of multiple image points, and the pixel size of the image points in the image to be analyzed corresponds to the display accuracy of the VR module to be measured;

[0142] The smallest image point among the image points of the image to be analyzed corresponds to the minimum value of the pixel size, that is, it corresponds to the smallest pixel size that the VR module to be measured can display, which can reflect the display performance of the VR module to be measured, that is, it can indicate the display accuracy of the VR module to be measured.

[0143] When necessary, the concentric circles of the image to be analyzed are arranged at equal intervals.

[0144] Furthermore, the VR module detection device further includes a stage 5:

[0145] The stage 5 is used to arrange the screen 1 and the VR lens 4 of the VR module to be measured, and the VR lens 4 is arranged at an interval from the display surface of the screen 1;

[0146] The stage 5 is further used to synchronously move horizontally or rotate around the vertical direction the screen 1 and the VR lens 4.

[0147] Among them, synchronously moving horizontally or rotating around the vertical direction the screen 1 and the VR lens 4, that is, horizontally moving or rotating around the vertical direction the VR module to be measured, can adjust the display situation of the VR module to be measured, so as to adjust the image to be analyzed.

[0148] It should be noted that in the actual detection process, there may be certain differences between the left display field of view range and the right display field of view range of the same VR module to be measured. Therefore, the screen 1 and the VR lens 4 can be moved to respectively detect and obtain the left display field of view range and the right display field of view range of the VR module to be measured. When specifically detecting, the maximum value of the two can be selected as the display field of view range of the VR module to be measured.

[0149] In the embodiment of the present application, based on a simple detection structure, the operation is convenient, and the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules.

[0150] Therefore, based on this VR module detection technology, the staff can adjust the detection field of view according to the actual situation, so as to meet different detection requirements for VR modules, and thus can be used for real-time online detection, improve the detection efficiency, and can also accurately verify the detection field of view and accurately verify the detection accuracy of different fields of view. Compared with traditional technical means, it has the advantages of high detection accuracy and high accuracy rate.

[0151] Preferably, the entrance pupil point of the detection lens 3 is located at the forefront of the detection lens 3, and the field of view angle range of the detection lens 3 is ±70°.

[0152] Specifically, the first image acquisition device 2 is an area array camera;

[0153] During use, an area array camera can be used to obtain images in formats such as RGB.

[0154] In addition, this method has certain performance parameter requirements. For example:

[0155] When the detection lens 3 is used in cooperation with the VR lens 4, the image distortion ratio is less than 2%;

[0156] When necessary, the center lines of the screen 1, the acquisition end of the first image acquisition device 2, and the detection lens 3 coincide.

[0157] It should be noted that in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0158] The above are only specific embodiments of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A VR module detection method, characterized in that, The method includes the following steps: Use the screen (1) of the VR module to be tested to display a preset detection sample; Adjust the orientation of the first image acquisition device (2) and the VR module to be tested, so that the detection lens (3) of the first image acquisition device (2) is directly opposite the left eye field center point or the right eye field center point of the VR lens (4) of the VR module to be tested; Use the first image acquisition device (2) to photograph the screen (1) through the VR lens (4) to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals; Based on the image to be analyzed, analyze the display accuracy of the VR module to be tested; The same concentric circle of the detection sample includes at least two symmetrically distributed concentric arcs, and the pixel sizes of the image points on the concentric arcs change in a preset order.

2. The VR module detection method according to claim 1, wherein: The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

3. The VR module detection method according to claim 1, wherein, In analyzing the display accuracy of the VR module to be tested based on the image to be analyzed, the following steps are included: Obtain the pixel sizes of the respective image points in the image to be analyzed; Based on the pixel size corresponding to the image point with the smallest pixel size, determine the display accuracy of the VR module to be tested.

4. The VR module detection method according to claim 1, wherein, After obtaining the image to be analyzed including a plurality of concentric circles arranged at intervals, the method further includes the following steps: Based on the image to be analyzed corresponding to the left eye field center point of the VR lens (4), calculate and obtain the left display field range corresponding to the left eye field center point of the VR lens (4); Based on the image to be analyzed corresponding to the right eye field center point of the VR lens (4), calculate and obtain the right display field range corresponding to the right eye field center point of the VR lens (4); Select the maximum value of the left display field range and the right display field range as the display field range of the VR module to be tested.

5. The VR module detection method according to claim 4, wherein, In calculating and obtaining the left display field range corresponding to the left eye field center point of the VR lens (4) based on the image to be analyzed corresponding to the left eye field center point of the VR lens (4), the following steps are included: Based on the number of concentric circles in the image to be analyzed corresponding to the left eye field center point of the VR lens (4) and the interval distance between the concentric circles, calculate and obtain the width and length of the image to be analyzed corresponding to the left eye field center point; Based on the width and length of the image to be analyzed corresponding to the left eye field center point, calculate and obtain the left display field range.

6. The VR module detection method according to claim 1, wherein, In adjusting the orientation of the first image acquisition device (2) and the VR module to be tested, the following steps are included: Set the screen (1) of the VR module to be tested and the VR lens (4) on a preset stage (5), and the VR lens (4) and the display surface of the screen (1) are spaced apart; Use the stage (5) to synchronously move the screen (1) and the VR lens (4) horizontally or rotate them around the vertical direction.

7. The VR module detection method according to claim 1, wherein: The entrance pupil point of the detection lens (3) is located at the forefront of the detection lens (3), and the field of view angle range of the detection lens (3) is ±70°.

8. A VR module detection device, characterized in that, The device includes: A first image acquisition device (2), and the acquisition end of the first image acquisition device (2) is configured with a detection lens (3); A detection sample output device (6) for controlling the screen (1) of the VR module to be tested to display a preset detection sample; wherein, The detection lens (3) is arranged at an interval from the display surface of the screen (1); The VR lens (4) of the VR module to be tested is located in the interval area between the screen (1) and the detection lens (3); The first image acquisition device (2) is used to, after adjusting the detection lens (3) to face the center point of the left eye field of view or the center point of the right eye field of view of the VR lens (4) of the VR module to be tested, photograph the screen (1) through the VR lens (4) to obtain an image to be analyzed including a plurality of concentric circles arranged at intervals; For the same concentric circle of the detection sample, at least two symmetrically distributed concentric arcs are included, and the pixel sizes of the image points on the concentric arcs change in a preset order.

9. The VR module detection device according to claim 8, wherein: The image points with the same pixel size on the corresponding concentric arcs between different concentric circles are arranged at intervals in a straight line centered on the center of the circle.

10. The VR module detection device according to claim 8, characterized in that, The device further includes a stage (5): The stage (5) is used to arrange the screen (1) and the VR lens (4) of the VR module to be tested, and the VR lens (4) is arranged at an interval from the display surface of the screen (1); The stage (5) is further used to synchronously horizontally move or rotate the screen (1) and the VR lens (4) around the vertical direction.

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