CN106324976A - Test system and test method - Google Patents

Abstract

The invention discloses a test system, which comprises a light box, a plurality of light plates and a bearing bottom. The light panels are respectively disposed in light boxes, the light panels each being located at a different depth in the light box. The bearing bottom is used for fixedly bearing a lens module to be tested, the lens module to be tested faces the light box and the light plate, and the respective spacing distances of the lens module to be tested and the light plate are different. When the lens module to be tested shoots the first image picture, the first image picture comprises an image of the light plate. The invention can acquire information of various different depths by capturing a picture in a single light box containing multiple depth of field, can detect the camera module to be detected by utilizing the depth information, and can correct the camera module to be detected by utilizing the depth information.

Description

Test system and test method

technical field

The present invention relates to a test system and a test method. Specifically, the present invention relates to a test system and a test method in which a plurality of light panels are arranged in a light box.

Background technique

In general, sensors on various cameras have different sensitivities, and even cameras of the same model may have varying quality. In addition, the sensor in the camera is easily affected by factors such as the light source environment of the shooting scene, the distance between the camera and the subject, etc., which makes the images captured by different cameras in the same scene inconsistent. Therefore, the test of the camera before leaving the factory is particularly important.

In addition, when testing a camera module, it is often necessary to use a variety of light boxes corresponding to different test items to configure different scenarios, and then use the camera module to be tested to shoot these light boxes one by one to obtain the corresponding test results. Image information for the item. However, this test method needs to set up different test situations in many different light boxes, and the shooting results may also be affected by the differences of each light box itself, or the slightly different setting position of the camera module under test in each light box. influence, leading to inaccurate test results. In addition, since the camera module to be tested needs to be photographed one by one corresponding to light boxes configured with different test items, the traditional testing method is really time-consuming.

Therefore, how to improve the traditional camera module testing method and provide a time-saving and accurate testing method and testing system has become a problem to be solved in the industry.

Contents of the invention

A brief overview of the invention is given below in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to identify key or critical parts of the invention nor to delineate the scope of the invention. Its purpose is merely to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.

To solve the above problems, an embodiment of the present invention provides a testing system. The test system includes a light box, a plurality of light boards and a bearing bottom. The light panels are respectively arranged in the light box, and the light panels are respectively located at different depths in the light box. The carrying bottom is used for fixedly carrying a lens module to be tested, and makes the lens module to be tested face the light box and the light board. The distances between the lens module to be tested and the light board are different. Wherein, when the lens module under test captures the first image frame, the first image frame includes the image of the light panel.

The light boards include at least one first light board, at least one second light board and at least one third light board.

The distance between the at least one first optical board and the lens module to be tested is a first distance, the distance between the at least one second optical board and the lens module to be tested is a second distance, and the at least one third optical board is separated from the tested lens module. The distance of the lens module is a third distance, the first distance is greater than the second distance, and the second distance is greater than the third distance.

Each side of the at least one first light board is adjacent to the wall of the light box, the at least one second light board is respectively placed on at least one corner of the light box, and the at least one third light board is not adjacent to the wall of the light box .

Each of the at least one first light plate, the at least one second light plate and the at least one third light plate includes a plurality of images, and the images include a plurality of positioning points and an analysis map.

The images also include at least one of a lattice image, a color block image, and an object image.

The lens module to be tested includes a plurality of camera lenses, each of the camera lenses shoots a second image frame, and each of the second image frames includes the at least one first light board, the at least one second light board and the at least one third light board images, and the first image frame is composed of the second image frames.

Further, it also includes:

A processing unit calculates an image resolution according to the analysis map in at least one of the second image frames.

Further, it also includes:

A processing unit for calculating an image depth information according to the included angle between the positioning points in at least two image frames of the second image frames and the lens module to be tested;

The image depth information includes far-field depth information, middle-field depth information, and near-field depth information.

The processing unit also compares the image depth of field information with a known depth of field information to obtain a near-field correction value, a middle-field correction value, and a distant-field correction value, and compares the far-field depth of field information, the middle-field depth of field information, the The near-field depth information is corrected by the near-field correction value, the mid-field correction value, and the far-field correction value to output a full-depth image, and the full-depth image includes the corrected second images.

The processing unit is also used to calculate the sharpness of the full depth image according to the analysis maps of the second images in the full depth image, and complement the corrected second images to generate A complementary full depth image, and calculating a depth distribution map of the complementary full depth image.

Another embodiment of the present invention provides a testing method. The test method comprises the following steps: respectively arranging a plurality of light boards in a light box, and the light boards are respectively located at different depths in the light box; fixedly carrying a lens module to be tested on a carrier bottom, and making the surface of the lens module to be tested For the light box and the light board, the distance between the lens module to be tested and the light board is different; when the lens module to be tested captures a first image frame, the first image frame includes the image of the light board.

By applying the above-mentioned one embodiment, the present invention can obtain a variety of different depth information by capturing a frame in a single light box including multiple depths of field, and can use this depth information to detect the camera module to be tested, and Such depth information can be applied to correct the camera module to be tested.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 is a schematic diagram of a light box according to an embodiment of the present invention;

Fig. 2 is a bottom view of the light panel accommodating space of the light box shown in Fig. 1;

Fig. 3 is a side view of a light panel accommodating space according to an embodiment of the present invention;

4 is a flowchart of a testing method according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an image on a light board according to an embodiment of the present invention;

Fig. 6 is the sub-step flowchart of step S420 of Fig. 4;

7 is a schematic diagram of a depth of field correction method according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of another depth-of-field correction method according to an embodiment of the present invention.

Reference signs:

200: storage space for light panels, 220: first light panel, 240: second light panel, 260: third light panel

124: top

a: angle of view

120: light box

122: Bearing Bottom

140: Lens module to be tested

d1, d2, d3: distance

S410～S460, S421～423: steps

500, 500a～500e: positioning map

810, 820, 830: picture

811, 812, 821, 822: Imaging

831: fixed point

x1, x2: included angle

520: Check pattern

530: Object Map

510: Analysis diagram.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Elements and features described in one drawing or one embodiment of the present invention may be combined with elements and features shown in one or more other drawings or embodiments. It should be noted that representation and description of components and processes that are not related to the present invention and known to those of ordinary skill in the art are omitted from the drawings and descriptions for the purpose of clarity. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

"Includes", "including", "has", "containing" and so on used in this article are all open terms, meaning including but not limited to. Refer to FIG. 1 and FIG. 2 at the same time. FIG. 1 is a schematic diagram of a light box according to an embodiment of the present invention. FIG. 2 is a bottom view of the light panel accommodating space of the light box shown in FIG. 1 . The test system 100 includes a light box 120 , a plurality of light boards 220 , 240 , 260 and a load base 122 . Wherein, the light panels 220 , 240 , 260 are respectively arranged in the light box 120 , and the light panels 220 , 240 , 260 are respectively located in different depths in the light box 120 . The carrying bottom 122 is used to fixedly carry a lens module to be tested 140, and make the lens module to be tested 140 face the light box 120 and the light boards 220, 240, 260. The distances are not the same. Wherein, when the lens module 140 under test captures the first image frame, the first image frame includes images of the light panels 220 , 240 , 260 .

More specifically, as shown in FIG. 1 , in one embodiment, the light panels 220, 240, 260 are placed in the light panel accommodating space 200, and the top of the light panel accommodating space 200 is the top 124 of the light box 120, and to be A camera module 140 may be placed on the bottom 122 . However, the arrangement of the camera module 140 to be tested and the light panel accommodating space 200 is not limited thereto. In another embodiment, the camera module 140 to be tested only needs to be placed in a place where each light panel 220 , 240 , 260 can be photographed. The location is fine. Thus, when the lens module 140 to be tested shoots an image frame into the light board accommodating space 200 , the captured image frame can include the images of the light boards 220 , 240 , and 260 at the same time.

In one embodiment, if one looks at the top 124 of the light box 120 along the viewing angle a shown in FIG. 1 , it can be seen that the light panels are arranged as shown in FIG. 2 . In this embodiment, the accommodating space 200 includes at least one first light board 220 , at least one second light board 240 and at least one third light board 260 . Wherein, each limit of the first light board 220 is adjacent to the box wall of the light box 120, for example: the four sides of the first rectangular light board 220 are all just adjacent to the four sides of the light box 120 box wall; the second light board 240 is respectively placed in the light box At least one corner of the light box, for example: a plurality of second light boards 240 are respectively suspended or fixed on the four corners of the light box by means of brackets; the third light board 260 is not adjacent to the wall of the light box, for example: the third light board 260 Similar to the second optical panel 240 , it is fixed in the middle of the optical panel accommodating space 200 by hanging or using a bracket, and is not adjacent to any box wall.

Through this configuration, various light panels can not completely block each other in the captured image frame, and can be captured in an area sufficient for subsequent analysis.

Next, please refer to FIGS. 3 to 5 at the same time. FIG. 3 is a side view of a light panel accommodating space according to an embodiment of the present invention. FIG. 4 is a flowchart of a testing method according to an embodiment of the present invention. FIG. 5 is a schematic diagram of an image drawn on a light board according to an embodiment of the present invention.

In step S410, the lens module to be tested is placed at a position to be tested. In one embodiment, the carrying bottom 122 is used to fix the lens module to be tested, and make the lens module to be tested face the light box 120 and the light boards 220, 240, 260, wherein the lens module to be tested and the light boards 220, 240, 260 The respective interval distances are different. In addition, the embodiment of the separation distance between the lens module to be tested and the light boards 220 , 240 , 260 is described in detail as follows.

In one embodiment, as shown in FIG. 3 , the lens module to be tested 140 is placed on the carrier bottom 122, the first distance between the first light board 220 and the lens module to be tested 140 is d1, and the distance between the second light board 220 and the lens module to be tested is d1. The second distance between 140 and 140 is d2, and the third distance between the third light plate 260 and the lens module 140 under test is d3. Wherein, the first distance d1 is greater than the second distance d2, and the second distance d2 is greater than the third distance d3. In an embodiment, the first distance d1 may be 5-15 cm, the second distance d2 may be 55-65 cm, and the third distance d3 may be 95-105 cm.

Through the configuration of this embodiment, the lens module 140 to be tested can shoot these light panels 220, 240, and 260, and the image images obtained by it have image parts with different depths of field, such as distant view, middle view, and close view, which can be beneficial to follow-up. Analysis of test results.

On the other hand, as shown in FIG. 5 , the surfaces of the optical panels 220 , 240 , and 260 facing the lens module 140 to be tested each include a plurality of images, and the images include a positioning map 500 and an analysis map 510 . The positioning map 500 includes multiple positioning points. In one embodiment, the image may further include a grid image 520 , a color patch image (not shown), an object image 530 or other images that can provide the environment module to be tested as a test item.

In addition, in an embodiment, the lens module 140 to be tested may be an array of cameras, including multiple camera lenses. Similarly, each of these camera lenses captures a second image frame, each second image frame includes the images of the first light board 220, the second light board 240 and the third light board 260, and a first image frame can be formed by these second image frames. video screen. In one embodiment, four second frame images are spliced into a first image frame. In another embodiment, the processing unit may calculate an image resolution according to an analysis map in at least one second image frame.

Next, return to step S420 in FIG. 4 . In step S420 , according to the second image frame, a depth information is calculated, and the image depth information is compared with known depth information to obtain a close-range correction value, a middle-ground correction value, and a far-field correction value.

In one embodiment, the lens module 140 to be tested takes pictures of the light panels 220, 240, and 260 through a plurality of camera lenses included in it, so that each camera lens obtains a second image frame, and uses a processing unit (not shown) An image depth information is calculated according to the included angles between a plurality of positioning points in at least two image frames of the second image frames and the lens module 140 to be tested. Wherein, the image depth information includes far-field depth information, middle-field depth information, and near-field depth information.

In another embodiment, the lens module 140 under test has four camera lenses, and the four camera lenses capture all the light panels 220 , 240 , and 260 respectively to obtain a second image frame. Since each light board 220 , 240 , 260 at least includes a positioning map 500 and an analysis map 510 , the second image frame captured by each of the four camera lenses also includes a positioning map 500 and an analysis map 510 . The processing unit can respectively capture at least two positioning maps 500 in the second image frame through the four camera lenses to calculate an image depth information.

The specific implementation manner of generating the depth information is described below. Please refer to Figures 6-8. FIG. 6 is a flowchart of sub-steps of step S420 in FIG. 4 . FIG. 7 is a schematic diagram of a depth-of-field correction method according to an embodiment of the present invention. FIG. 8 is a schematic diagram of a depth-of-field correction method according to another embodiment of the present invention.

In step S421 , the processing unit obtains the coordinate positions of the far view anchor point, the middle view anchor point and the near view anchor point from each second image frame.

For example, as shown in FIG. 7 , the positioning maps 500 a - 500 d are positioning maps respectively belonging to four second image frames. In the positioning maps 500 a - 500 d , the pie pattern represents the long-range positioning point, the square pattern represents the middle-ground positioning point, and the triangle pattern represents the near-view positioning point. In one embodiment, the processing unit selects all the positioning diagrams 500 a - 500 d of the second image frame for calculation, and obtains the coordinate positions of the distant anchor point, the middle-ground anchor point and the near-view anchor point from each second image frame. It should be understood that, generally speaking, the more the number of second image frames selected for calculation, the higher the accuracy of the depth of field calculation in the subsequent steps.

In step S422 , the processing unit calculates angles between a plurality of positioning points in at least two second image frames and the lens module 140 to be tested to obtain an image depth information. Wherein, the image depth-of-field information includes far-field depth-of-field information, middle-field depth-of-field information, and near-field depth-of-field information.

For example, as shown in FIG. 8 , based on the concept of photography and imaging, when shooting an object at two shooting positions respectively, the two captured pictures 810 and 820 are superimposed to generate a picture 830, and the distance camera The included angle x1 between the two images 811, 821 of the object farther away from the camera lens and the fixed point 831 is smaller, and the included angle x2 between the two images 812, 822 of the object farther from the camera lens and the fixed point 831 is larger. Accordingly, through this imaging characteristic, a plurality of pictures captured by different shooting positions can be superimposed, and according to the included angle between multiple imaging of the same object in the superimposed picture and the camera lens or a fixed point, the Distinguish the relationship between objects in the image frame as far, middle, and near, so as to calculate the image depth information.

In one embodiment, as shown in FIG. 7 , the positioning maps 500 a - 500 d are the positioning maps in the second image frame respectively captured by the four camera lenses. The processing unit may superimpose the positioning maps 500a-500d into a merged positioning map 500e according to the coordinate positions of each positioning point in the positioning maps 500a-500d. Based on the angles between the respective long-range anchor points in the aforementioned any two second images and the lens module 140 (or any fixed point) to be tested are relatively small, the respective close-range anchor points in any two second images and the lens module to be tested Based on the concept that the included angle of 140 is relatively large, the distance relationship between various positioning points and the lens module 140 to be tested can be known from the combined positioning diagram 500e.

For example, in the merged positioning map 500e, the positioning points of the pie pattern are relatively dense, and the angle between any two positioning points of the pie pattern and the lens module 140 (or any fixed point) to be tested is relatively small, and the density is relatively high, so it can be It is judged that the anchor points of these pie patterns represent the distant anchor points; the anchor points of the square pattern are less intensive, so it can be judged that the anchor points of these square patterns represent the middle ground anchor points; the anchor points of the triangle pattern are the loosest, and any The angles between the anchor points of the two triangle patterns and the lens module 140 to be tested are relatively large, and the density is the lowest. Therefore, it can be determined that the anchor points of the triangle patterns represent close-range anchor points.

Accordingly, after overlapping the positioning maps in multiple second images, it can be determined whether each positioning point belongs to the distant view, middle ground or close shot.

In step S423 , the processing unit compares the image depth information with known depth information to obtain a close-range correction value, a middle-ground correction value, and a far-field correction value.

For example, as mentioned above in the paragraph corresponding to FIG. 3 , the actual distances between the optical panels 220 , 240 , 260 and the lens module 140 to be tested are known, which can be used as the known depth of field information. Therefore, the processing unit can compare the image depth information obtained in step S422 with the known depth information, and then calculate the close-range correction value, middle-ground correction value and distant-view correction value.

In step S424 , the memory (not shown) is used to store the correction parameters, and the correction parameters include a close-range correction value, a middle-ground correction value, and a distant-view correction value.

Wherein, the processing unit and the storage can be placed inside the light box 120 or independently placed outside the light box 120 , and are electrically coupled with the lens module 140 to be tested. The processing unit may be implemented by a bulk circuit such as a microcontroller, a microprocessor, a digital signal processor, an application specific integrated circuit (ASIC), or a logic circuit. In addition, the storage is used to store various data, such as internal memory, hard disk, flash memory card and so on.

Next, return to step S430 in FIG. 4 . In step S430, correct the far-field depth information, middle-field depth-of-field information, and near-field depth-of-field information by using the near-field correction value, mid-field correction value, and long-field correction value to output a full-depth image, which includes the corrected Second image.

In step S440, the processing unit calculates the resolution of the full depth image according to the analysis map in the second image of the full depth image, and complements the corrected second image to generate a complementary full depth image, and Computing a depth distribution map of the complementary full depth image. Wherein, the depth-of-field distribution map may be, for example, a corresponding depth-of-field histogram of the complementary panoramic depth image or other distribution maps presented in a numerical manner.

In one embodiment, the processing unit may use at least two corrected second images to perform complementation, and the complementation method may be voting method, pixel average calculation, or other algorithms that can compensate images for each other. For example, the processing unit uses three rectified second images for complementation, and the three rectified second images all have a same object; if the object is only present in the two rectified second images If the positions are the same, then the object positions in the two corrected second images shall prevail, and the object position in the other corrected second image shall be adjusted to be the same as the object position in the two corrected second images same.

In step S450 , the processing unit performs a blurring process on the distant field depth information and the middle field depth information in the complementary full depth image to generate a composite segmented depth map.

In this way, the objects with near-field depth information in the output composite segmented depth-of-field map can be more prominent, while other parts of the picture are blurred, and the human eye or processing unit can judge whether to synthesize the close-up in the segmented depth-of-field map Partially correct. In one embodiment, the way of judging is to compare the foreground part in the synthesized segmented depth map with the known actual foreground part to determine whether the error between the synthesized segmented depth map and the actual environment is less than one error Threshold value. For example, if the foreground part in the segmented depth map is a basketball, and the known actual foreground part is indeed a basketball, it is determined that the error between the synthesized segmented depth map and the actual environment is less than an error threshold. In this way, the user can know whether the error between the synthetic segmented depth map generated by the complementary full depth image and the actual environment is within an acceptable range.

In step S460, the processing unit compares the known depth information with a long-range frame, a mid-range frame, and a close-range frame in the synthesized segmental depth map to generate an analysis result, and utilizes a display (not shown) to display the analysis results. In this way, it can be judged whether the composite segmental depth map generated through the steps of correction and complementation is correct and clear in the long-range picture, middle-ground picture and close-range picture, and the analysis result is displayed.

Through the above-mentioned testing system and testing method, the present invention can obtain a variety of different depth information by capturing a frame in a single light box containing multiple depths of field, and can use this depth information to detect the camera module to be tested The camera performance in the far, medium and close range, and can use this depth information to correct the camera module to be measured.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (28)

1. A test system, characterized in that, comprising: a light box; A plurality of light panels are respectively arranged in the light box, and the light panels are respectively located at different depths in the light box; and A carrying bottom is used for fixedly carrying a lens module to be tested, and makes the lens module to be tested face the light box and the light panels, and the distance between the lens module to be tested and the light panels is different; Wherein, when the lens module under test captures a first image frame, the first image frame includes images of the light panels at the same time. 2. The test system according to claim 1, wherein the light panels comprise at least one first light panel, at least one second light panel and at least one third light panel. 3. The test system according to claim 2, wherein the distance between the at least one first optical board and the lens module to be tested is a first distance, and the distance between the at least one second optical board and the lens module to be tested is is a second distance, the distance between the at least one third light plate and the lens module to be tested is a third distance, the first distance is greater than the second distance, and the second distance is greater than the third distance. 4. The test system according to claim 2, wherein each side of the at least one first light board is adjacent to the wall of the light box, and the at least one second light board is respectively placed on at least one corner of the light box , the at least one third light board is not in close proximity to the wall of the light box. 5. The test system according to claim 2, wherein each of the at least one first light board, the at least one second light board, and the at least one third light board includes a plurality of images, and the images include a plurality of positioning Point and a diagram. 6. The test system according to claim 5, wherein the images further comprise at least one of a grid image, a color patch image, and an object image. 7. The test system according to claim 5, wherein the lens module to be tested comprises a plurality of camera lenses, and each of the camera lenses captures a second image frame, and each of the second image frames includes the at least one first image frame. Images of a light board, the at least one second light board and the at least one third light board, and the first image frame is composed of the second image frames. 8. test system as claimed in claim 7, is characterized in that, also comprises: A processing unit calculates an image resolution according to the analysis map in at least one of the second image frames. 9. test system as claimed in claim 7, is characterized in that, also comprises: a processing unit for calculating an image depth information according to the included angle between the positioning points in at least two image frames of the second image frames and the lens module to be tested; The image depth information includes far-field depth information, middle-field depth information, and near-field depth information. 10. The test system according to claim 9, wherein the processing unit further compares the image depth information with a known depth information to obtain a close-range correction value, a middle-ground correction value and a long-range correction value, and correct the long-range depth of field information, the middle-field depth of field information, and the near-field depth of field information through the near-field correction value, the mid-field correction value, and the distant-field correction value to output a full-scale depth image, which includes The corrected second images. 11. The test system according to claim 10, wherein the processing unit is further configured to calculate the resolution of the full depth image according to the analytical images in the second images of the full depth image , and complement the corrected second images to generate a complementary full depth image, and calculate a depth distribution map of the complementary full depth image. 12. The test system of claim 10, further comprising: a display for displaying the depth-of-field distribution map; A memory is used for storing a correction parameter, and the correction parameter includes the close-range correction value, the middle-ground correction value and the distant-view correction value. 13. The test system according to claim 11, wherein the processing unit is further configured to perform a blurring process on the distant field depth information and the middle field depth information in the complementary full depth image to generate a composite Segmented depth-of-field map. 14. The test system according to claim 13, wherein the processing unit is further configured to compare the known depth information with a long-range frame, a mid-range frame, and a close-range frame in the synthesized segmented depth-of-field map comparison to generate an analysis result, and the display is used to display the analysis result. 15. A test method, characterized in that, comprising: A plurality of light panels are respectively arranged in a light box, and the light panels are respectively located at different depths in the light box; fixedly carrying a lens module to be tested on a carrier bottom, and make the lens module to be tested face the light box and the light boards, the distance between the lens module to be tested and the light boards is different; Wherein, when the lens module under test captures a first image frame, the first image frame includes images of the light panels at the same time. 16. The testing method according to claim 15, wherein the optical panels comprise at least one first optical panel, at least one second optical panel and at least one third optical panel. 17. The testing method according to claim 16, wherein the distance between the at least one first optical board and the lens module to be tested is a first distance, and the distance between the at least one second optical board and the lens module to be tested is is a second distance, the distance between the at least one third light plate and the lens module to be tested is a third distance, the first distance is greater than the second distance, and the second distance is greater than the third distance. 18. The test method according to claim 16, wherein each side of the at least one first light board is adjacent to the wall of the light box, and the at least one second light board is respectively placed on at least one corner of the light box , the at least one third light board is not in close proximity to the wall of the light box. 19. The test method according to claim 16, wherein the at least one first light board, the at least one second light board, and the at least one third light board each include a plurality of images, and the images include a plurality of positioning Point and a diagram. 20. The testing method according to claim 19, wherein the images further comprise at least one of a grid image, a color block image, and an object image. 21. The testing method according to claim 19, wherein the lens module to be tested comprises a plurality of camera lenses, and each of the camera lenses shoots a second image frame, and each of the second image frames includes the at least one first image frame. Images of a light board, the at least one second light board and the at least one third light board, and the first image frame is composed of the second image frames. 22. The testing method according to claim 21, further comprising: calculating an image resolution according to the analysis map in at least one of the second image frames. 23. The testing method of claim 21, further comprising: calculating an image depth information according to the included angle between the positioning points in at least two of the second image frames and the lens module to be tested; The image depth information includes far-field depth information, middle-field depth information, and near-field depth information. 24. The test method according to claim 23, further comprising: comparing the image depth information with a known depth information to obtain a close-range correction value, a middle-ground correction value and a long-range correction value , and correct the long-range depth of field information, the middle-field depth of field information, and the near-field depth of field information through the near-field correction value, the mid-field correction value, and the distant field correction value to output a full-scale depth image, which includes correction The subsequent second images. 25. The test method according to claim 24, further comprising: calculating the resolution of the full depth image according to the analytical images in the second images of the full depth image, and The corrected second images are complemented to generate a complementary full depth image, and a depth distribution map of the complementary full depth image is calculated. 26. testing method as claimed in claim 25, is characterized in that, also comprises: Display the depth-of-field distribution map; A correction parameter is stored, and the correction parameter includes the close-range correction value, the middle-ground correction value and the distant-view correction value. 27. The test method according to claim 25, further comprising: performing a blurring process on the distant field depth information and the middle field depth information in the complementary full depth image to generate a composite segmented depth of field picture. 28. The testing method as claimed in claim 27, further comprising: comparing the known depth information with a long-range frame, a middle-ground frame and a close-range frame in the synthesized segmental depth-of-field image, To generate an analysis result, the display is used to display the analysis result.