Vcsel far field testing method and apparatus

Abstract

The application discloses a kind of VCSEL far field test method and equipment, including to target product provides excitation signal, to make target product project laser spot to light screen;The distribution image of laser spot on light screen is photographed by infrared camera module, and sampling image is obtained, wherein the photographing center of infrared camera module is aligned with the laser emission center of target product;The first intermediate image is obtained by pre-processing to sampling image, and pre-processing includes flat field correction and distortion removal processing;Data intensity extraction is carried out to the first intermediate image, and energy distribution test data are obtained;According to energy distribution test data and preset relationship model, laser divergence angle test data are determined;Image convolution and numerical operation processing are carried out to the first intermediate image, and eye safety test data are determined.The application can obtain multiple test data through the first intermediate image, realize one-time completion multiple test, and be conducive to improving test efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of chip testing, in particular to a VCSEL far field testing method and device. BACKGROUND

[0002] VCSEL (Vertical Cavity Surface Emitting Laser) chip modules are widely used in products such as face recognition, 3D modeling and laser radar. In the production stage, the VCSEL chip module needs to be tested, for example, a beam analyzer is used to measure the far field spot distribution of the VCSEL chip module. However, due to the high complexity of the beam analyzer and the high geometric alignment requirement, the beam analyzer cannot meet the demand in the case of requiring fast feedback or high-speed production environment. Moreover, the beam analyzer has high integration, and due to the design limitation, it has limitations on the size of the measured spot or the divergence angle, and cannot meet the testing demand of large-emitting-angle VCSEL chip modules. SUMMARY

[0003] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application provides a VCSEL far field testing method and device, which can complete multiple tests at one time and improve the testing efficiency.

[0004] In one aspect, the present application provides a VCSEL far field testing method, which is suitable for a VCSEL far field testing device having a light screen and an infrared camera module. The infrared camera module and a target product are distributed on opposite sides of the light screen. The VCSEL far field testing method comprises the following steps:

[0005] providing an excitation signal to the target product to make the target product project a laser spot on the light screen;

[0006] capturing a distribution image of the laser spot on the light screen by the infrared camera module to obtain a sample image, wherein the center of the infrared camera module is aligned with the laser emitting center of the target product;

[0007] preprocessing the sample image to obtain a first intermediate image, wherein the preprocessing includes flat field correction and distortion removal processing;

[0008] extracting data intensity from the first intermediate image to obtain energy distribution test data;

[0009] determining laser divergence angle test data according to the energy distribution test data and a preset relationship model;

[0010] determining eye safety test data by image convolution and numerical operation processing of the first intermediate image.

[0011] According to some embodiments of the present application, the image of the distribution of the laser spot on the light screen is captured by the infrared camera module to obtain a sample image, including:

[0012] The image of the distribution of the laser spot on the light screen is captured by the infrared camera module based on a preset exposure time to obtain a sample image, wherein the value of the exposure time is an integer multiple of the frequency value of the target product, and the pixel value of the brightest point of the sample image is less than the upper limit value of the pixel range of the image captured by the infrared camera module.

[0013] According to some embodiments of the present application, the data intensity of the first intermediate image is extracted to obtain energy distribution test data, including:

[0014] A rectangular coordinate system is established with the image center of the first intermediate image as the origin;

[0015] The X-axis intensity data and Y-axis intensity data of the first intermediate image are extracted to obtain energy distribution test data.

[0016] According to some embodiments of the present application, the data intensity of the first intermediate image is extracted to obtain energy distribution test data, and then further includes:

[0017] At least one of a heat map, a curve trend chart and an intensity distribution chart is output according to the X-axis intensity data and the Y-axis intensity data.

[0018] According to some embodiments of the present application, the laser divergence angle test data is determined according to the energy distribution test data and a preset relationship model, including:

[0019] The first half-height-width data in the X dimension is determined according to the X-axis intensity data;

[0020] The second half-height-width data in the Y dimension is determined according to the Y-axis intensity data;

[0021] The laser divergence angle test data is determined according to the first half-height-width data, the second half-height-width data and a preset relationship model.

[0022] According to some embodiments of the present application, the laser divergence angle test data includes horizontal divergence angle test data and vertical divergence angle test data, and the laser divergence angle test data is determined according to the first half-height-width data, the second half-height-width data and a preset relationship model, including:

[0023] The horizontal divergence angle test data of the laser is determined according to the first half-height-width data and a preset relationship model;

[0024] determine laser vertical divergence angle test data according to the second half-width data and a preset relationship model;

[0025] The mathematical expression of the relationship model is: In the formula, θ represents the divergence angle test data, W represents the half-width data, and L represents the distance between the emission end of the target product and the light screen.

[0026] According to some embodiments of the present application, the image convolution and numerical operation processing of the first intermediate image to determine the eye safety test data comprises:

[0027] A convolution kernel is generated according to a preset image circle diameter, and the image circle diameter is in proportional relationship with the size of the human eye pupil.

[0028] The first intermediate image is convolved based on the convolution kernel to obtain a second intermediate image, and the pixel value of the second intermediate image represents the average value of all pixel values within the image circle diameter centered on each pixel point of the first intermediate image.

[0029] The maximum pixel value in the second intermediate image is determined.

[0030] According to the maximum pixel value, the image circle diameter, a preset power coefficient and a preset exposure time, a power sum corresponding to the maximum pixel value is determined, and the power sum represents the sum of powers within the image circle diameter centered on the pixel point of the maximum pixel value.

[0031] According to some embodiments of the present application, the determination of the power sum corresponding to the maximum pixel value according to the maximum pixel value, the image circle diameter, a preset power coefficient and a preset exposure time comprises:

[0032] The mathematical expression of the power sum is:

[0033]

[0034] In the formula, Vmax represents the maximum pixel value, KernelW represents the image circle diameter, K represents the power coefficient, and E1 represents the exposure time.

[0035] According to some embodiments of the present application, after the determination of the power sum corresponding to the maximum pixel value according to the maximum pixel value, the image circle diameter, a preset power coefficient and a preset exposure time, the method further comprises:

[0036] The power sum is output as the eye safety test data.

[0037] Or, the power sum is compared with a preset human eye safety power threshold, and the comparison result is taken as human eye safety test data.

[0038] In another aspect, the embodiment of the present application provides a VCSEL far field test device, comprising a light screen, an infrared camera module and a controller, wherein the controller is used to execute the VCSEL far field test method described above.

[0039] The embodiment of the present application has at least the following beneficial effects:

[0040] By pre-processing the sampling image, a first intermediate image with higher quality is obtained, and energy distribution test data is obtained by data intensity extraction on the first intermediate image, laser divergence angle test data is determined according to the energy distribution test data, and human eye safety test data is determined by image convolution and numerical operation on the first intermediate image, so that multiple test data can be obtained through the first intermediate image, and multiple tests can be completed at one time, which is beneficial to improve the test efficiency.

[0041] Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following description and the accompanying drawings, or can be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description, taken in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A step principle block diagram of the VCSEL far field test method of the embodiment of the present application;

[0044] Figure 2 A VCSEL far field test principle diagram of the embodiment of the present application;

[0045] Figure 3 One of the schematic diagrams of the first intermediate image of the embodiment of the present application;

[0046] Figure 4 A schematic diagram of the curve trend of the embodiment of the present application;

[0047] Figure 5 A schematic diagram of the convolution kernel of the embodiment of the present application;

[0048] Figure 6 The second schematic diagram of the first intermediate image of the embodiment of the present application. DETAILED DESCRIPTION

[0049] Embodiments of the present application are described below in detail with reference to the accompanying drawings, wherein the same or similar components have the same or similar designations throughout the various figures. The embodiments described below are exemplary in nature, and are intended to be illustrative of the present application, and are not to be construed as limiting the present application.

[0050] In the description of the present application, the meaning of "several" is one or more, the meaning of "multiple" is two or more, greater than, less than, more than, etc. are understood as not including the number, "above", "below", "within", etc. are understood as including the number. If there is a description of "first", "second", etc. is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the order of the indicated technical features.

[0051] In the description of the present application, unless otherwise explicitly limited, the words "set", "install", "connect", etc. should be broadly understood, and those skilled in the art can reasonably determine the specific meaning of the above words in the present application in combination with the specific content of the technical solution.

[0052] Please refer to Figure 1 and Figure 2 The embodiment discloses a VCSEL far field test method, which is suitable for a VCSEL far field test device with a light screen 110 and an infrared camera module 120. The infrared camera module 120 and the target product 10 are distributed on opposite sides of the light screen 110. The VCSEL far field test method comprises steps S100-S600. It should be noted that the step numbers in this embodiment are only for the convenience of understanding, and do not limit the execution order of the steps. The contents of each step are described in detail as follows:

[0053] S100, providing an excitation signal to the target product 10 to make the target product 10 project a laser spot on the light screen 110;

[0054] S200, capturing a distribution image of the laser spot on the light screen 110 by the infrared camera module 120 to obtain a sampling image, wherein the center of the infrared camera module 120 is aligned with the laser emission center of the target product 10;

[0055] S300, preprocessing the sampling image to obtain a first intermediate image, the preprocessing including flat field correction and distortion removal processing;

[0056] S400, extracting data intensity from the first intermediate image to obtain energy distribution test data;

[0057] S500, determining laser divergence angle test data according to the energy distribution test data and a preset relationship model;

[0058] S600, performing image convolution and numerical operation processing on the first intermediate image to determine the human eye safety test data.

[0059] For example, the target product 10 is a VCSEL chip module, which can project laser light to the light screen 110 through the emission end to form a light spot on the light screen 110. The distance between the target product 10 and the light screen 110 is a fixed distance (for example, L shown in the middle of FIG. 1), and a certain angle (for example, θ shown in the middle of FIG. 1) between the laser light emitted by the target product 10 and the center line of the product can be formed (i.e., the divergence angle), so that the light spot falls within a certain area range of the light screen 110 (i.e., the projection area of the light spot, for example, the triangular area composed of the dashed lines on the left side of the light screen 110 shown in the middle of FIG. 1). Figure 2 Figure 2 Figure 2 Figure 2 Figure 2

[0060] ​​​​​The image distortion degree of the first intermediate image obtained through preprocessing is low, and analysis can be performed using the first intermediate image, which can improve the accuracy of the analysis. The sampling image is obtained by the infrared camera module 120, and the sampling image contains the light intensity information of the light spot. Therefore, the first intermediate image obtained through preprocessing also contains the light intensity information. The energy distribution test data can be obtained by performing data intensity extraction on the first intermediate image, so as to observe the light spot distribution characteristics of the laser emitted by the target product 10. On the basis of the energy distribution test data, the laser divergence angle test data can be determined according to the preset relationship model. In this way, the energy distribution test and the laser divergence angle test can be quickly completed, and the test efficiency is high. In addition, the first intermediate image can also be used for eye safety testing. For example, image convolution and numerical operation processing can be performed on the first intermediate image to determine the eye safety test data. The energy distribution test, the laser divergence angle test, and the eye safety test can be completed at one time, and the test operation difficulty is low and the test efficiency is high.

[0061] By preprocessing the sampling image, a first intermediate image with higher quality is obtained, and data intensity extraction is performed on the first intermediate image to obtain energy distribution test data. The laser divergence angle test data is determined according to the energy distribution test data, and the eye safety test data is determined by image convolution and numerical operation on the first intermediate image. Multiple test data can be obtained through the first intermediate image, and multiple tests can be completed at one time, which is beneficial to improve the test efficiency.

[0062] Step S200, the distribution image of the laser light spot on the light screen 110 is photographed by the infrared camera module 120 to obtain a sampling image, including:

[0063] S210, based on the preset exposure time, the distribution image of the laser light spot on the light screen 110 is photographed by the infrared camera module 120 to obtain a sampling image, wherein the value of the exposure time is an integer multiple of the frequency value of the target product 10, and the pixel value of the brightest point of the sampling image is less than the upper limit value of the pixel range of the image photographed by the infrared camera module 120.

[0064] For example, during testing, it was found that images captured by the infrared camera module 120 were prone to unevenness, with one side darker than the other, resulting in inaccurate data. Research revealed that this phenomenon was caused by flickering due to the inconsistency between the sampling time of the infrared camera module 120 and the infrared frequency of the target product 10. Therefore, the exposure time of the infrared camera module 120 needs to be configured before taking pictures. Furthermore, the exposure time should not be set too high; the brightest pixel value in the captured image (i.e., the sampled image) should be less than (i.e., not greater than or equal to) the upper limit of the pixel value range. Otherwise, the sampled data will be distorted. For example, the infrared camera module 120 has a resolution of 8192 columns × 5468 rows, and each pixel has a bit depth of 10 bits, meaning each pixel value ranges from 2 to the power of 12, or 0 to 4096. Therefore, the brightest pixel value in the sampled image should be less than the upper limit of 4096.

[0065] Step S400: Extract data intensity from the first intermediate image to obtain energy distribution test data, including:

[0066] S410. Establish a rectangular coordinate system with the image center of the first intermediate image;

[0067] S420. Extract the X-axis intensity data and Y-axis intensity data of the first intermediate image to obtain energy distribution test data.

[0068] For example, please refer to Figure 3 The figure shows one example of a first intermediate image, with the crosshairs indicating a Cartesian coordinate system. The first intermediate image is composed of individual pixels. For example, if the resolution of the infrared camera module 120 is 8192 columns × 5468 rows, then the resolution of the first intermediate image is also 8192 columns × 5468 rows. That is, with the pixel at the center of the first intermediate image as the origin, a Y-axis is established along the column direction, containing 8192 pixels. Each pixel can be used to extract intensity data along the Y-axis. Similarly, an X-axis is established along the row direction, containing 5468 pixels. Each pixel can be used to extract intensity data along the X-axis. By extracting the X-axis and Y-axis intensity data from the first intermediate image, energy distribution test data is obtained, thereby enabling the testing of laser energy distribution in the far field.

[0069] Step S400: Extract data intensity from the first intermediate image to obtain energy distribution test data. Then, it further includes: S430: Output at least one of a heat map, a curve trend map, and an intensity distribution map based on the X-axis intensity data and the Y-axis intensity data.

[0070] For example, combining the X-axis intensity data and Y-axis intensity data and outputting it as a heatmap allows for a direct observation of the laser spot distribution characteristics emitted by the target product 10 in the X-axis and Y-axis directions. The X-axis pixel index of the first intermediate image is used as the horizontal axis of the heatmap, and the Y-axis pixel index is used as the vertical axis. Intensity data are distinguished by different colors. The curve trend chart is divided into an X-axis curve trend chart and a Y-axis curve trend chart, such as... Figure 4 As shown, the trend chart uses the pixel index of the first intermediate image as the horizontal axis and the intensity data as the vertical axis. The intensity distribution map is a three-dimensional graph, which can be regarded as a three-dimensional representation of the heat map. Depending on the needs of the actual application, one or more of the heat map, trend chart, and intensity distribution map can be output to enhance the visualization effect of the data.

[0071] Step S500: Based on the energy distribution test data and the preset relationship model, determine the laser divergence angle test data, including:

[0072] S510. Based on the X-axis intensity data, determine the first half-height and width data of the X dimension;

[0073] S520. Based on the Y-axis intensity data, determine the second half-height and width data in the Y dimension;

[0074] S530. Based on the first half-width and height data, the second half-width and height data, and the preset relationship model, determine the laser divergence angle test data.

[0075] For example, please refer to Figure 2 The diagram shows the test principle from a top-down view. Let the distance between the target product 10 and the screen 110 be L (a known value), the horizontal divergence angle of the target product 10 be θ, and the width of the laser spot projected onto the screen 110 by the laser emitted by the target product 10 be W. The imaging area of ​​the infrared camera module 120 can cover the width of the projected spot. Using trigonometric functions and inverse trigonometric functions, we can determine: θ = 2*arctan((W / 2) / L). Therefore, determining the projected spot width W is sufficient to determine the horizontal divergence angle θ. Similarly, the vertical divergence angle of each target product 10 can be determined. The projected spot width W has a proportional relationship with the half-width at half-maximum (WW) of the X-axis intensity data. Determining the first WWW of the X-axis intensity data allows us to determine the horizontal divergence angle of the laser. Similarly, determining the second WWW of the Y-axis intensity data allows us to determine the vertical divergence angle of the laser, thus determining the laser divergence angle test data.

[0076] In other words, the laser divergence angle test data includes horizontal divergence angle test data and vertical divergence angle test data. Step S530, based on the first half-width and height data, the second half-width and height data, and the preset relationship model, determines the laser divergence angle test data, including:

[0077] S531. Determine the test data of the horizontal divergence angle of the laser based on the first half-width and height data and the preset relationship model;

[0078] S532. Based on the second half-width and height data and the preset relationship model, determine the test data of the vertical divergence angle of the laser.

[0079] The mathematical expression for the relational model is: In the formula, θ is used to characterize the divergence angle test data, W is used to characterize the half-width at half-maximum data, and L is used to characterize the distance between the transmitter of the target product 10 and the light screen 110.

[0080] To improve the accuracy of data analysis, before determining the first and second half-height and width data, the X-axis and Y-axis intensity data need to be smoothed to remove noise interference. For example, if the X-axis and Y-axis intensity data fluctuate significantly, a moving average filter is needed to smooth the curve. The maximum value Y' is then determined by solving for the maximum value of the smoothed one-dimensional data (X-axis or Y-axis intensity data). imax Then determine half of the maximum value, i.e., 50% * Y' imax The value of , its coordinate on the horizontal axis, such as Figure 4 Points X1 and X2 are shown, and the difference in their x-coordinates is ΔX. The distance unit is the image pixel, and there is a proportional relationship between the image pixel distance and the actual distance (let's say the proportionality coefficient is k). Therefore, the half-width at half-maximum (W) is W = ΔX * k. Based on the WHM data and the relationship model, the horizontal divergence angle test data for the laser can be determined. Similarly, the vertical divergence angle test data for the laser can also be determined.

[0081] Step S600: Perform image convolution and numerical operation processing on the first intermediate image to determine the human eye safety test data, including:

[0082] S610. Generate a convolution kernel based on the preset image circle diameter, wherein the image circle diameter is proportional to the size of the human eye pupil;

[0083] S620. Convolve the first intermediate image based on the convolution kernel to obtain the second intermediate image. The pixel values ​​of the second intermediate image are used to represent the average value of all pixel values ​​within the diameter of the image circle centered on each pixel of the first intermediate image.

[0084] S630. Determine the maximum pixel value in the second intermediate image;

[0085] S640, determine the power sum corresponding to the pixel maximum value according to the pixel maximum value, the image circle diameter, the preset power coefficient and the preset exposure time, the power sum is used to represent the sum of the power in the range of the image circle diameter with the pixel point of the pixel maximum value as the center.

[0086] For example, each time the target product 10 is tested, the image is taken, and then the flat field correction and the distortion removal processing are performed. The position of the maximum energy in the range of 7mm (the size of the human pupil) is found in the preprocessed image (i.e., the first intermediate image), and the corresponding power value is calculated by using the K coefficient conversion. For example, the infrared camera module 120 is used to shoot the infrared spot intensity distribution image of the target product 10, wherein the exposure time of the infrared camera module 120 is set to be a multiple of the frequency of the target product 10, and the exposure time is recorded as E1. The flat field correction and the distortion removal processing are performed on the obtained image, and the obtained image is recorded as Y1. The image Y1 is convolved, so that each pixel value of the convolved image represents the average value of all pixel values in the surrounding field in the range of 7mm. The specific steps include: determining the size of the convolution kernel, determining the diameter KernerlW of the image circle corresponding to 7mm, wherein PixelSize is the scale coefficient. The convolution kernel is generated by using the diameter parameter KernerlW, and the length and width of the convolution kernel are both KernerlW, as shown in the following figure: Figure 5 The image Y1 is convolved by using the convolution kernel, and the convolved image is recorded as Yc (i.e., the second intermediate image). Each pixel value of the convolved image represents the average value of all pixel values in the surrounding field in the range of 7mm. The maximum pixel value is found in the image Yc, and the maximum pixel value is recorded as Vmax. V max The power coefficient K and the maximum pixel value Vmax are used to calculate the sum of the power in the range of 7mm represented by the maximum value, that is: V max

[0087] Step S640, determining the power sum corresponding to the pixel maximum value according to the pixel maximum value, the image circle diameter, the preset power coefficient and the preset exposure time, includes:

[0088] The mathematical expression of the power sum is:

[0089]

[0090] In the formula, Vmax is used to represent the pixel maximum value, KernelW is used to represent the image circle diameter, K is used to represent the power coefficient, and E1 is used to represent the exposure time.

[0091] ​In step S640, the power sum corresponding to the pixel maximum value is determined according to the pixel maximum value, the image circle diameter, the preset power coefficient, and the preset exposure time. Then, the following steps are further included:

[0092] The power sum is output as the human eye safety test data.

[0093] Alternatively, the power sum is compared with a preset human eye safety power threshold, and the comparison result is taken as the human eye safety test data.

[0094] For example, the pixel maximum value and the coordinate data of the pixel maximum value in the second intermediate image are determined, and the first intermediate image is graphically annotated according to the coordinate data of the pixel maximum value, such as Figure 6 the circle and / or crosshair annotations in the intermediate image, the annotation content including the position of the pixel maximum value and the power sum, so that the user can intuitively understand the maximum test result, wherein Figure 6 only as a schematic diagram, Figure 6 the font size in the above formula is adjusted according to actual application requirements, and in the present embodiment, Figure 6 the shown text is only a position example and does not represent the actual meaning. In some application scenarios, the power sum can be compared with a preset threshold, and then the comparison result is output, wherein the preset human eye safety power threshold can refer to the relevant international standards for infrared laser radiation.

[0095] The present embodiment provides a VCSEL far-field test device, which includes a light screen 110, an infrared camera module 120, and a controller. The controller is used to execute the above-mentioned VCSEL far-field test method. By pre-processing the sampling image, a first intermediate image with higher quality is obtained, and data intensity extraction is performed on the first intermediate image to obtain energy distribution test data. Laser divergence angle test data is determined according to the energy distribution test data, and human eye safety test data is determined by image convolution and numerical operation on the first intermediate image. The first intermediate image can obtain multiple test data, complete multiple tests at one time, and improve the test efficiency.

[0096] The embodiments of the present application are described in detail above in combination with the drawings, but the present application is not limited to the above-mentioned embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the purpose of the present application.

Claims

1. A method for testing a VCSEL far field, applicable to a VCSEL far field testing device with a light screen and an infrared camera module, the infrared camera module and a target product being distributed on opposite sides of the light screen, characterized in that, The VCSEL far-field test method comprises: providing an excitation signal to the target product to make the target product project a laser spot on the light screen; capturing a distribution image of the laser spot on the light screen by the infrared camera module to obtain a sample image, wherein the center of the infrared camera module is aligned with the laser emission center of the target product; preprocessing the sample image to obtain a first intermediate image, the preprocessing comprising flat field correction and distortion correction; extracting data intensity of the first intermediate image to obtain energy distribution test data; determining laser divergence angle test data according to the energy distribution test data and a preset relationship model; generating a convolution kernel according to a preset image circle diameter, the image circle diameter being in proportional relationship with the size of the pupil of the human eye; convolving the first intermediate image based on the convolution kernel to obtain a second intermediate image, the pixel value of the second intermediate image being used to represent the average value of all pixel values within the image circle diameter centered on each pixel point of the first intermediate image; determining the maximum pixel value in the second intermediate image; determining the power sum corresponding to the maximum pixel value according to the maximum pixel value, the image circle diameter, a preset power coefficient and a preset exposure time, the power sum being used to represent the sum of powers within the image circle diameter centered on the pixel point of the maximum pixel value; outputting the power sum as eye safety test data, or comparing the power sum with a preset eye safety power threshold to output the comparison result as eye safety test data.

2. The method of claim 1, wherein, The capturing of the distribution image of the laser spot on the light screen by the infrared camera module to obtain a sample image comprises: capturing the distribution image of the laser spot on the light screen by the infrared camera module based on a preset exposure time to obtain a sample image, wherein the value of the exposure time is in integral multiple relationship with the frequency value of the target product and the pixel value of the brightest point of the sample image is less than the upper limit value of the pixel range of the image captured by the infrared camera module.

3. The method of claim 1 or 2, wherein, The extraction of data intensity of the first intermediate image to obtain energy distribution test data comprises: establishing a rectangular coordinate system with the image center of the first intermediate image as the origin; extracting X-axis intensity data and Y-axis intensity data of the first intermediate image to obtain energy distribution test data.

4. The method of claim 3, wherein, The extraction of data intensity of the first intermediate image to obtain energy distribution test data further comprises: outputting at least one of a heat map, a curve trend chart and an intensity distribution chart according to the X-axis intensity data and the Y-axis intensity data.

5. The method of claim 3, wherein, The determination of laser divergence angle test data according to the energy distribution test data and a preset relationship model comprises: determining first half-height-width data in the X dimension according to the X-axis intensity data; determining second half-height-width data in the Y dimension according to the Y-axis intensity data; determining laser divergence angle test data according to the first half-height-width data, the second half-height-width data and a preset relationship model.

6. The method of claim 5, wherein, The laser divergence angle test data includes horizontal divergence angle test data and vertical divergence angle test data, and the laser divergence angle test data is determined according to the first half-height width data, the second half-height width data and a preset relationship model, including: The horizontal divergence angle test data of the laser is determined according to the first half-height width data and a preset relationship model; The vertical divergence angle test data of the laser is determined according to the second half-height width data and a preset relationship model; Wherein, the mathematical expression of the relationship model is: In the formula, θ is used to represent the divergence angle test data, W is used to represent the half-width data, and L is used to represent the distance between the emission end of the target product and the light screen.

7. The method of claim 1, wherein, The power sum corresponding to the pixel maximum value is determined according to the pixel maximum value, the image circle diameter, a preset power coefficient and a preset exposure time, including: The mathematical expression of the power sum is: In the formula, Vmax is used to represent the pixel maximum value, KernelW is used to represent the image circle diameter, K is used to represent the power coefficient, and E1 is used to represent the exposure time.

8. A VCSEL far-field test device, comprising a light screen, an infrared camera module and a controller, wherein the controller is configured to perform the VCSEL far-field test method according to any one of claims 1 to 7.

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