Defect detection method of VR lens

Abstract

The invention relates to a defect detection method of a VR lens, and belongs to the technical field of lens detection. The method comprises the following steps: acquiring a to-be-detected VR lens; fixing the VR lens to be detected in a target container; turning on the light source emitter, and obtaining the intensity of a light beam before the light beam enters the to-be-detected VR lens; acquiring the intensity of the light beam when the light beam passes through the defect through an imaging image detected by an imaging device; wherein the imaging image comprises two types of stripe images with alternate light colors; determining the defect according to the intensity change before and after the light beam enters the to-be-detected VR lens and the stripe spacing in the imaging image; and determining the depth of the defect according to the intensity of the light beam penetrating through the defect. Through the method, the depth of the defect of the VR lens can be accurately determined.

Description

Technical Field

[0001] The present invention relates to the technical field of lens detection, and in particular to a defect detection method for a VR lens. Background Art

[0002] With the rapid development of virtual reality (VR) technology, the performance and user experience of VR devices are crucial. Lenses are an important part of VR devices. Some minor lens defects may cause visual distortion, blur or uneven color, which not only affects the user experience, but also may cause eye fatigue and discomfort. Therefore, it is particularly important to locate the internal defects of VR mirrors. It can not only help manufacturers to find and fix problems in time during the production process and improve product quality, but also achieve more efficient production processes and reduce the return rate and customer complaint rate through scientific data analysis and detection methods.

[0003] Research has found that VR lenses are usually non-planar lenses. For defect location detection of VR lenses, currently only the plane position of lens defects can be detected (plane coordinates x, y), and the depth of the defect cannot be accurately measured. (The depth of the defect can be understood as the z-axis in the volume, because when the defect is on the surface, it can be considered as a plane without depth, but when it is inside, the light will be deflected twice, so the impact of the defect on the plane and inside is different). However, the depth of the defect is often closely related to the production process of the lens, so for the optimization of the production process, the detection of the defect depth is equally important. Summary of the invention

[0004] In order to solve the above-mentioned problems in the prior art, the present invention provides a defect detection method for VR lenses.

[0005] In a first aspect, an embodiment of the present application provides a defect detection method for a VR lens, comprising: obtaining a VR lens to be detected; fixing the VR lens to be detected in a target container; wherein the target container contains a liquid having the same refractive index as the VR lens to be detected; a light source emitter is disposed at the bottom of the target container; the light source emitter is a light source emitter that synchronously emits two types of light; a beam splitter is disposed above the target container, and different reflective plates are disposed on both sides of the beam splitter to separate different types of light; a light beam reflected by the reflective plate is obtained through an imaging device; the light source emitter is turned on, and the intensity of the light beam before it enters the VR lens to be detected is obtained; the intensity of the light beam when passing through the defect is obtained through an imaging image detected by the imaging device; wherein the imaging image contains an image of stripes of alternating colors of two types of light; the defect is determined through the intensity change of the light beam before and after it enters the VR lens to be detected and the stripe spacing in the imaging image; the depth of the defect is determined based on the intensity of the light beam when it passes through the defect.

[0006] Optionally, the liquid with the same refractive index as the VR lens to be tested is determined by the following steps, including: filling a fixed mass of water into the target container; calculating the concentration of the solute to be added to the target container according to the refractive index of the VR lens to be tested and the refractive index of water; and adding the solute to the target container to obtain a liquid with the same refractive index as the VR lens to be tested.

[0007] Optionally, the solute is sodium chloride.

[0008] Optionally, the two types of light synchronously emitted by the light source emitter are blue light and green light respectively; the intensity of the light beam before entering the VR lens to be tested includes: the intensity of the blue light before incident and the intensity of the green light before incident; the calculation formula of the intensity of the blue light before incident is: Among them, I B I represents the blue light intensity before the incident; OB Indicates the intensity of the blue light emitted by the light source emitter; I RB Indicates the reference blue light intensity; represents the phase difference between the intensity of the blue light emitted by the light source emitter and the reference blue light intensity; the calculation formula of the green light intensity before the incident is: Among them, I G I represents the green light intensity before the incident; OG I represents the intensity of the green light emitted by the light source emitter; RG Indicates the reference green light intensity; Represents the phase difference between the intensity of the green light emitted by the light source emitter and the reference green light intensity.

[0009] Optionally, the imaging image detected by the imaging device obtains the intensity of the light beam when it passes through the defect, including: in response to a position where the spacing of stripes in the imaging image is uneven, obtaining the blue light brightness and the green light brightness at the position; wherein the position where the spacing of stripes in the imaging image is uneven is the position of the defect on the VR lens to be detected; based on the blue light brightness and sensitivity coefficient of the position, determining the blue light intensity after incident, and based on the green light brightness and sensitivity coefficient of the position, determining the green light intensity after incident; wherein the intensity of the light beam when it passes through the defect includes the blue light intensity after incident and the green light intensity after incident.

[0010] Optionally, determining the depth of the defect according to the intensity of the light beam when it passes through the defect includes: determining the depth of the defect according to the intensity of the blue light after the incident, and determining the depth of the defect according to the intensity of the green light after the incident; wherein the calculation formula for determining the depth of the defect according to the intensity of the blue light after the incident is:

[0011] Among them, I′ B Indicates the intensity of blue light after incident; δ B represents the phase change caused by the defect, which is obtained by the wavelength of the blue light and the fringe spacing at that position; γ represents the attenuation coefficient of the blue light when it passes through the defect; h represents the depth of the defect;

[0012] And, the calculation formula for determining the depth of the defect according to the intensity of the incident green light is:

[0013] Among them, I′ G Indicates the intensity of green light after incident, δ G represents the phase change caused by the defect, which is obtained by the wavelength of the green light and the fringe spacing at that position; α represents the attenuation coefficient of the green light when it passes through the defect; h represents the depth of the defect.

[0014] Optionally, the method further includes: obtaining a scaling factor of the light beam splitter; determining a position of the defect on the imaging image; and determining a planar position of the defect on the VR lens to be inspected based on the position of the defect on the imaging image and the scaling factor of the light beam splitter.

[0015] Optionally, determining the position of the defect on the imaging image includes: performing line segment fitting on the stripes on the imaging image through a line segment detection algorithm; calculating the average spacing between every two stripe lines and determining the total spacing average value; determining the coordinates of the line segments whose spacing is less than the total spacing average value as the position of the defect on the imaging image.

[0016] Optionally, the method further includes: acquiring the refractive index of the VR lens to be tested by means of a refractometer.

[0017] Optionally, the VR lens to be inspected is fixed in the target container at a position one third of the distance from the bottom.

[0018] The beneficial effects of the present invention include: the defect detection method of VR lenses provided in the embodiment of the present application, considering that VR lenses are usually non-planar lenses, their imaging will be distorted due to the existence of curvature, which has a huge impact on the detection of defects. Therefore, the present application first uses liquids with the same refractive index to fill the method, turning the imaging object into a plane, and uses two different types of light to image the lens, combining the law of light phase and light intensity transformation in the defect, and using the intensity of the light beam when it passes through the defect to determine the depth of the defect. In this way, the depth of the VR lens can be accurately determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flowchart of a defect detection method for VR lenses provided by an embodiment of the present invention;

[0020] Figure 2 A schematic diagram of a VR lens to be tested provided by an embodiment of the present invention;

[0021] Figure 3 A flowchart of the steps of another method for detecting defects in VR lenses provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0023] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0024] Research has found that VR lenses are usually non-planar lenses. For defect location detection of VR lenses, currently only the plane position of lens defects can be detected (plane coordinates x, y), and the depth of the defect cannot be accurately measured. (The depth of the defect can be understood as the z-axis in the volume, because when the defect is on the surface, it can be considered as a plane without depth, but when it is inside, the light will be deflected twice, so the impact of the defect on the plane and inside is different). However, the depth of the defect is often closely related to the production process of the lens, so for the optimization of the production process, the detection of the defect depth is equally important.

[0025] In view of the above problems, the present application proposes the following embodiments to solve the above technical problems.

[0026] See also Figure 1 An embodiment of the present application provides a defect detection method for a VR lens, which provides a process flow method that can be used to detect the depth of a VR lens. The method can specifically include: steps 101 to 105.

[0027] Step 101: Obtain the VR lens to be tested.

[0028] First, obtain a VR lens to be tested, wherein the VR lens to be tested can refer to Figure 2 ,like Figure 2 As shown, the VR lens 200 to be tested is a non-planar lens, which has a specific curvature or curved surface design rather than being completely flat or spherical.

[0029] It should be noted that if the refractive index of the VR lens to be tested is known, the subsequent steps can be directly performed. For example, a batch of VR lenses with a fixed refractive index is pre-shipped, and the defect depth detection can be performed using the method provided in the embodiment of the present application.

[0030] If the refractive index of the VR lens to be tested is unknown, in the embodiment of the present application, the refractive index of the VR lens to be tested can be obtained by a refractometer. The refractometer here is a refractive index measuring instrument, such as an Abbe refractometer.

[0031] Of course, in some embodiments, if the refractive index of the VR lens to be inspected is known, a re-inspection can still be performed using a refractometer to ensure the accuracy of subsequent defect detection.

[0032] Step 102: Fix the VR lens to be tested in a target container.

[0033] That is, in the embodiment of the present application, a defect detection device is built for the VR lens to be inspected.

[0034] The device comprises a target container, a light source emitter, a light beam splitter, a reflector plate and an imaging device.

[0035] The target container contains a liquid with the same refractive index as the VR lens to be tested; a light source emitter is arranged at the bottom of the target container; the light source emitter is a light source emitter that emits two types of light synchronously; and a beam splitter is arranged above the target container. That is, the beam splitter is arranged above the liquid, in other words, the position of the beam splitter is higher than the liquid surface of the target container. Different reflective plates are arranged on both sides of the beam splitter to separate different types of light; and the light beam reflected by the reflective plate is obtained by an imaging device.

[0036] In the embodiment of the present application, different reflectors with dichroic filters are arranged on both sides of the light beam splitter. That is, the reflector can only allow light of a specified color to pass through, and the rest of the light will be reflected. Finally, the light beam reflected by the reflector will be captured by the imaging device.

[0037] Step 103: Turn on the light source transmitter and obtain the intensity of the light beam before it enters the VR lens to be tested.

[0038] Step 104: Obtain the intensity of the light beam when it passes through the defect through the imaging image detected by the imaging device.

[0039] The imaging image includes a stripe image of two types of light with alternating colors. That is, the imaging device images the VR lens to be detected by superimposing two different types of light.

[0040] Then, in the embodiment of the present application, the defect is determined by the intensity change of the light beam before and after it enters the VR lens to be inspected and the stripe spacing in the imaging image.

[0041] It should be explained that when the light beam emitted by the light source emitter passes through the target container (passes through the VR lens to be tested) and finally enters the imaging device, if the lens to be tested has no defects, the distribution of the two different types of light beam deflections and the light intensity are uniform, and when there are defects, the deflection (affecting the stripe spacing) and intensity of the light beam will change. Therefore, here the defect is determined by the intensity change before and after the light beam enters the VR lens to be tested and the stripe spacing in the imaging image, and the light beam intensity at the defect location is obtained.

[0042] Step 105: Determine the depth of the defect based on the intensity of the light beam when it passes through the defect.

[0043] Finally, the depth of the defect is calculated using the intensity of the light beam when it passes through the defect.

[0044] In summary, the defect detection method of VR lenses provided in the embodiment of the present application takes into account that VR lenses are usually non-planar lenses, and their imaging will be distorted due to the existence of curvature, which has a huge impact on the detection of defects. Therefore, the present application first uses liquids with the same refractive index to fill the image, turning the imaging object into a plane, and uses two different types of light to image the lens, combining the law of light phase and light intensity transformation in the defect, and using the intensity of the light beam when it passes through the defect to determine the depth of the defect. In this way, the depth of the VR lens can be accurately determined.

[0045] In other words, the defect detection method of VR lenses provided in the embodiment of the present application has the following advantages:

[0046] First, the depth of defects inside the lens of the VR lens can be determined.

[0047] Second, it can be applied to lenses of various materials or refractive indices. In practice, it only needs to configure liquids with corresponding refractive indices.

[0048] Third, through non-planar completion, the quality of imaging can be improved, thereby improving the accuracy of defect detection.

[0049] Next, the preparation process of the liquid in the target container is described.

[0050] Specifically, the liquid with the same refractive index as the VR lens to be tested is determined through the following steps, including: filling a fixed mass of water into the target container; calculating the concentration of the solute to be added to the target container according to the refractive index of the VR lens to be tested and the refractive index of water; adding the solute to the target container to obtain the liquid with the same refractive index as the VR lens to be tested.

[0051] Optionally, the solute is sodium chloride.

[0052] When the solute is sodium chloride (NaCl), the specific calculation formula can be:

[0053] n solution =n water +k·C;

[0054] In the above formula, n solution Represents the refractive index of the solution after adding NaCl, n water Represents the refractive index of water itself, usually 1.3330 (at 20°C). k is a constant that represents the coefficient of influence of concentration on the refractive index, and is experimentally determined to be approximately 0.0016% -1 C is the concentration of NaCl (usually expressed as a mass percentage, i.e., gNaCl / 100g water). solutionIt is equal to the refractive index of the VR lens to be tested. The mass of the water contained in this embodiment is constant, so only the amount of NaCl added needs to be changed.

[0055] Of course, in other embodiments, the refractive index can also be changed by adjusting other solutes, such as potassium chloride, etc., which is not limited here. The adjustment of other solutes can also refer to the description of the above formula, which is not limited here.

[0056] Optionally, the two types of light synchronously emitted by the light source emitter are blue light and green light, which are lights of different wavelengths.

[0057] The intensity of the light beam before entering the VR lens to be tested includes: the intensity of the blue light before the incident and the intensity of the green light before the incident. The calculation formula of the intensity of the blue light before the incident is:

[0058]

[0059] Among them, I B Indicates the intensity of blue light before incident; I OB Indicates the intensity of the blue light emitted by the light source emitter; I RB Indicates the reference blue light intensity; Indicates the phase difference between the intensity of the blue light emitted by the light source emitter and the intensity of the reference blue light.

[0060] It should be noted that the reference blue light is not the actual light that will be generated, but is used as a reference for adjusting the intensity and direction. The light is specifically perpendicular to the center direction of the lens.

[0061] The calculation formula for the green light intensity before incident is:

[0062] Among them, I G Indicates the green light intensity before incident; I OG Indicates the intensity of the green light emitted by the light source emitter; I RG Indicates the reference green light intensity; Indicates the phase difference between the intensity of the green light emitted by the light source emitter and the reference green light intensity.

[0063] It should be noted that the reference green light is not the light that will actually be generated, but is used as a reference for adjusting the intensity and direction. The light is specifically the light perpendicular to the center direction of the lens.

[0064] See also Figure 3 Optionally, the intensity of the light beam when passing through the defect is obtained through an imaging image detected by an imaging device, including: steps 201 to 202.

[0065] Step 201: In response to a position where stripes with uneven spacing exist in an imaged image, the blue light brightness and the green light brightness at the position are acquired.

[0066] The position where the spacing of the stripes in the imaging image is uneven is the position of the defect on the VR lens to be inspected.

[0067] Step 202: Determine the intensity of the incident blue light based on the blue light brightness and sensitivity coefficient at the position, and determine the intensity of the incident green light based on the green light brightness and sensitivity coefficient at the position.

[0068] The intensity of the light beam when passing through the defect includes the intensity of the blue light after the incident and the intensity of the green light after the incident.

[0069] That is, when light passes through the lens, blue light and green light will be deflected differently. When the lens has no defects, the deflection distribution and light intensity should be uniform when blue light and green light pass through the lens and emit from the liquid surface. When defects exist, the deflection and intensity of light will change.

[0070] Specifically, the depth of the defect is determined according to the intensity of the light beam when it passes through the defect, including: determining the depth of the defect according to the intensity of the incident blue light, and determining the depth of the defect according to the intensity of the incident green light.

[0071] The calculation formula for determining the depth of the defect according to the intensity of the incident blue light is:

[0072]

[0073] Among them, I′ B Indicates the intensity of blue light after incident; δ B represents the phase change caused by the defect, which is obtained by the wavelength of the blue light and the fringe spacing at that position; γ represents the attenuation coefficient of the blue light when it passes through the defect; h represents the depth of the defect;

[0074] And, the calculation formula for determining the depth of the defect according to the intensity of the incident green light is:

[0075]

[0076] Among them, I′ G Indicates the intensity of green light after incident, δ G represents the phase change caused by the defect, which is obtained by the wavelength of the green light and the fringe spacing at that position; α represents the attenuation coefficient of the green light when it passes through the defect; h represents the depth of the defect.

[0077] Optionally, the method also includes: obtaining a scaling factor of a light beam splitter; determining a position of a defect on an imaging image; and determining a planar position of the defect on the VR lens to be inspected based on the position of the defect on the imaging image and the scaling factor of the light beam splitter.

[0078] It should be noted that after the light is emitted from the liquid surface, it enters the beam splitter. The purpose of the beam splitter is to amplify the deflection of blue light and green light caused by defects. After passing through the beam splitter, a reflective plate of a dichroic filter (which can only allow light of a specified color to pass through, and the rest of the light will be reflected) is needed to separate the blue light and green light again.

[0079] Optionally, determining the position of the defect on the imaging image includes: performing line segment fitting on the stripes on the imaging image through a line segment detection algorithm; calculating the average spacing between every two stripe lines and determining the total spacing average; and determining the coordinates of the line segments whose spacing is less than the total spacing average as the position of the defect on the imaging image.

[0080] It should be noted that the light passing through the reflector will be captured by the imaging device. Specifically, the image formed by the light is an image of alternating blue and green stripes. When there is no defect, the spacing between the stripes should be consistent, and the brightness (light intensity) of the stripes of the same color should also be the same. When a defect occurs, the spacing of the stripes will be uneven, and the unevenness is the plane position of the defect on the lens:

[0081] (x,y)=β(u,v);

[0082] (u,v) is the pixel coordinate of the image, (x,y) is the plane coordinate of the VR lens to be tested, and β is the scaling factor. (u,v) can be obtained by fitting the image stripes with line segments through the LSD (Line Segment Detector) algorithm, and calculating the average spacing of each line, and then using this to calculate the total spacing average, and returning the coordinates of the line segments with spacing less than the average as (u,v).

[0083] For the analysis of light intensity, the embodiment of the present application can use histogram statistics to count the different brightness of blue light and green light, and output the brightness value lower than the average brightness value, which is multiplied by a sensitivity coefficient It can be approximately expressed as light intensity, that is, I′ B and I′ G .

[0084] At this time, the spacing Δx of the fringes is known, and the phase difference can be calculated:

[0085]

[0086] λ is the wavelength of light, and the resulting Δφ is approximately equal to δ B (δG ), that is, the formula is applicable to blue light or green light. Then, the calculation formula for determining the depth of the defect by the intensity of the blue light after the incident is, and / or the calculation formula for determining the depth of the defect by the intensity of the green light after the incident is, and the depth h of the defect can be calculated.

[0087] Optionally, the VR lens to be inspected is fixed at a position one third of the distance from the bottom in the target container.

[0088] It should be noted that by fixing the VR lens to be inspected at 1 / 3 of the height of the target container, the lens is located in the middle of the liquid and away from the lighting equipment at the bottom, which reduces the possibility of the lens being directly interfered by the bottom light source. This method helps to ensure that the light reflected by the light beam splitter and the reflector can enter the imaging device more accurately, thereby improving the clarity of the defect imaging. And it can also play a role in uniform light path design: the lens is at a certain height from the bottom, which can ensure that the emitted green light and blue light are fully and evenly distributed before reaching the lens, avoiding uneven lens imaging due to excessive concentration of light. This position selection can ensure that the light beam can evenly pass through the surface and internal layers of the lens when passing through the lens, so as to achieve clear imaging of defects.

[0089] In addition, it has been verified through experiments that by placing the VR lens to be inspected at the 1 / 3 position, it is possible to obtain image data of the lens' multi-layer structure between the top and bottom light sources of the container, which helps to measure the depth of surface and internal defects of the lens. This position is convenient for the imaging device to obtain full-view imaging and improves the depth positioning accuracy of defects.

[0090] Based on the same inventive concept, the embodiment of the present application provides a module frame of an electronic device that applies the calculation process in the above method. For example, the calculation of the intensity of the above light beam before it enters the VR lens to be detected, the intensity of the light beam when it passes through the defect, and the determination of the depth of the defect based on the intensity of the light beam when it passes through the defect can be implemented by the electronic device.

[0091] The electronic device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor. When the processor executes the computer program, the steps of the method in any of the aforementioned embodiments are implemented.

[0092] The electronic device may be a server, a personal computer, a notebook computer, etc.

[0093] Those skilled in the art will appreciate that the above structure does not constitute a limitation on the electronic device, and may include more or fewer components than the above components, or a combination of certain components, or different components.

[0094] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0095] In some embodiments, the memory may be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device. In other embodiments, the memory may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the memory may also include both an internal storage unit of the electronic device and an external storage device.

[0096] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, some of the steps in the above method embodiment can be implemented.

[0097] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement some steps in the above method embodiment when executing the computer program product.

[0098] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0100] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A defect detection method for VR lenses, characterized in that: include: Obtain the VR lens to be tested; The VR lens to be tested is fixed in a target container; wherein the target container contains a liquid having the same refractive index as the VR lens to be tested; a light source emitter is arranged at the bottom of the target container; the light source emitter is a light source emitter that synchronously emits two types of light; a light beam splitter is arranged above the target container, and different reflective plates are arranged on both sides of the light beam splitter to separate different types of light; and a light beam reflected by the reflective plate is obtained by an imaging device; Turn on the light source transmitter and obtain the intensity of the light beam before it enters the VR lens to be tested; The intensity of the light beam when passing through the defect is obtained through the imaging image detected by the imaging device; wherein the imaging image includes a stripe image of two types of light with alternating colors; the defect is determined through the intensity change of the light beam before and after it enters the VR lens to be inspected and the stripe spacing in the imaging image; The depth of the defect is determined based on the intensity of the light beam as it passes through the defect.

2. The defect detection method of VR lenses according to claim 1, characterized in that: The liquid having the same refractive index as the VR lens to be tested is determined by the following steps, including: Filling a fixed mass of water into the target container; Calculating the concentration of the solute to be added to the target container according to the refractive index of the VR lens to be tested and the refractive index of water; The solute is added into the target container to obtain a liquid having the same refractive index as that of the VR lens to be tested.

3. The defect detection method of VR lenses according to claim 2, characterized in that: The solute is sodium chloride.

4. The defect detection method of VR lenses according to claim 1, characterized in that: The two types of light synchronously emitted by the light source emitter are blue light and green light; The intensity of the light beam before entering the VR lens to be tested includes: the intensity of the blue light before entering and the intensity of the green light before entering; The calculation formula of the blue light intensity before the incident is: Among them, I B I represents the blue light intensity before the incident; OB Indicates the intensity of the blue light emitted by the light source emitter; I RB Indicates the reference blue light intensity; Represents the phase difference between the intensity of the blue light emitted by the light source emitter and the reference blue light intensity; The calculation formula of the green light intensity before the incident is: Among them, I G I represents the green light intensity before the incident; OG I represents the intensity of the green light emitted by the light source emitter; RG Indicates the reference green light intensity; Represents the phase difference between the intensity of the green light emitted by the light source emitter and the reference green light intensity.

5. The defect detection method of VR lenses according to claim 4, characterized in that: The imaging image detected by the imaging device, obtaining the intensity of the light beam when passing through the defect, comprises: In response to a position where the spacing of stripes is uneven in the imaging image, the blue light brightness and the green light brightness at the position are acquired; wherein the position where the spacing of stripes is uneven in the imaging image is the position of the defect on the VR lens to be inspected; Determine the intensity of the incident blue light based on the blue light brightness and sensitivity coefficient at the position, and determine the intensity of the incident green light based on the green light brightness and sensitivity coefficient at the position; The intensity of the light beam when passing through the defect includes the intensity of the blue light after the incident and the intensity of the green light after the incident.

6. The defect detection method of VR lenses according to claim 5, characterized in that: The intensity of the light beam as it passes through the defect determines the depth of the defect, including: Determining the depth of the defect according to the intensity of the incident blue light, and determining the depth of the defect according to the intensity of the incident green light; The calculation formula for determining the depth of the defect according to the intensity of the incident blue light is: Among them, I′ B Indicates the intensity of blue light after incident; δ B represents the phase change caused by the defect, which is obtained by the wavelength of the blue light and the fringe spacing at that position; γ represents the attenuation coefficient of the blue light when it passes through the defect; h represents the depth of the defect; And, the calculation formula for determining the depth of the defect according to the intensity of the incident green light is: Among them, I′ G Indicates the intensity of green light after incident, δ G represents the phase change caused by the defect, which is obtained by the wavelength of the green light and the fringe spacing at that position; α represents the attenuation coefficient of the green light when it passes through the defect; h represents the depth of the defect.

7. The defect detection method of VR lenses according to claim 5, characterized in that: The method further comprises: Obtaining a scaling factor of the light beam splitter; determining a location of a defect on the image; According to the position of the defect on the imaging image and the scaling factor of the light beam splitter, the planar position of the defect on the VR lens to be inspected is determined.

8. The defect detection method of VR lenses according to claim 7, characterized in that: The determining the position of the defect on the imaging image comprises: Performing line segment fitting on the stripes on the image by using a line segment detection algorithm; Calculate the average spacing between every two stripe lines and determine the overall spacing average; The coordinates of the line segments whose spacing is smaller than the total spacing average are determined as the positions of the defects on the imaging image.

9. The defect detection method of VR lenses according to claim 1, characterized in that: The method further comprises: The refractive index of the VR lens to be tested is obtained by a refractometer.

10. The defect detection method of VR lenses according to claim 1, characterized in that: The VR lens to be inspected is fixed in the target container at a position one third of the distance from the bottom.

Images