Method for identifying damaged area of optical transparent protective material by adopting visual character E

Abstract

The invention provides the method for identifying the visual area of the optical transparent protective material by adopting the visual information E, the service life of the protective material is measured and calculated through logic processing of the image, and measurement of the service life of the transparent protective material due to tiny defects and non-uniformity of the surface is avoided. Compared with an existing method for testing the visual area of the optical transparent material, the method has the advantages that directional optimization of the crack propagation area is achieved, the period is consistent with the replacement period of the optical transparent protective material, and the use cost of a user is effectively reduced. On the premise that the protective performance of the transparent protective material is not remarkably reduced, the service life of the product is evaluated, operation is easy, convenient and rapid, testing can be completed in a short time, and the testing result has high stability. According to the invention, visual information identification is carried out based on visual logic habits of a human body, and the influence of thick and thin crack propagation on a visual area of a transparent protective material is weakened.

Description

Technical Field

[0001] The present invention belongs to the technical field of transparent protective material testing, and in particular relates to a method for identifying a damaged area of an optically transparent protective material by using a visual character E. Background Art

[0002] Optically transparent protective materials are highly transparent materials that provide both protection and observation capabilities. Current protective materials are commonly found in our daily lives, often in bank teller windows, jewelry windows, police shield observation windows, and transparent armor. Optical protective materials face severe challenges in terms of optical and protective properties due to impact and friction. Strong impacts can cause optical materials to experience defects such as penetration, damage, and cracking, which can affect their observation capabilities.

[0003] In order to evaluate the optical observation performance of optical protective materials after damage, GB9656-2021 "Automobile Safety Glass" uses photosensitive paper to qualitatively describe the damage range, damage location, and damage cracks of the car. However, this standard only provides a qualitative description of the damaged area. For special application environments, this standard cannot provide guidance on whether the automotive safety glass can remain in working condition. At the same time, this test method ignores the observer's logical judgment behavior on the target object.

[0004] Chinese patent CN202411556888.7, titled "Region Boundary Determination Method, Apparatus, Computer Device, and Storage Medium," provides a region recognition method based on a gridded boundary. By sorting all points within the corresponding channels within a target region, a target point sequence is obtained, which is then used to determine the region boundary. However, this region boundary recognition method is suitable for computer-assisted recognition devices and cannot meet the direct needs of observers.

[0005] Chinese patent CN202210517108.2 discloses a "method for analyzing the visual range of equipment detection". It is based on a preset DEM resolution and equipment detection radius, takes the equipment as the origin, and determines the number of detection lines of sight and the direction of each detection line of sight through a preset algorithm; within the theoretical maximum detection distance corresponding to the preset detection height, the maximum detection distance of each detection line of sight is obtained by searching, and the position coordinates of the critical point corresponding to the maximum detection distance are calculated; the critical points of each detection line of sight are connected to construct a surface to obtain the equipment detection area range corresponding to the preset detection height; within the preset detection distance, the maximum detection critical line of sight slope of each detection line of sight is obtained by searching, and the equipment detection blind spot height range corresponding to the preset detection distance is calculated. However, this method still relies on machine-assisted recognition and does not introduce visual logic judgment, and cannot evaluate the continuous service capability of transparent protective materials. Summary of the Invention

[0006] In order to solve the above problems existing in the prior art, the present invention provides a method for identifying damaged areas of optically transparent protective materials using a visual character E. The technical problem to be solved by the present invention is achieved through the following technical solutions:

[0007] A method for identifying a damaged area of an optically transparent protective material using a visual character E comprises:

[0008] S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material;

[0009] S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample;

[0010] S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed;

[0011] S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods;

[0012] S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

[0013] Beneficial effects:

[0014] The present invention provides a method for identifying damaged areas of optically transparent protective materials using a visual character E, and realizes the calculation of the service life of protective materials through logical processing of images, thereby avoiding the influence of minor surface defects and unevenness on the determination of the service life of transparent protective materials. Compared with the existing test methods for the visible area of optically transparent materials, the present invention realizes the directional optimization of the crack propagation area, which is consistent with the replacement cycle of optically transparent protective materials, effectively reducing the user's usage cost. The present invention evaluates the service life of the product under the premise that the protective performance of the transparent protective material has not been significantly reduced. The present invention is simple to operate, convenient and fast, can complete the test in a short time, and the test results have high stability. The present invention recognizes visual information based on the visual logic habits of the human body, weakens the influence of the extension of coarse and fine cracks on the visible area of the transparent protective material, and is consistent with the actual application environment, providing guidance for the replacement of transparent protective materials and the determination of their service life.

[0015] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 1 is a flow chart of a method for identifying damaged areas of an optically transparent protective material using visual characters E, provided by the present invention;

[0018] Figure 2 Schematic diagram of the size specification of the visual character E provided by the present invention;

[0019] Figure 3 is a schematic diagram of a typical situation in which the visual information E provided by the present invention is unrecognizable;

[0020] Figure 4 is a schematic diagram of a visual information identification card provided by the present invention;

[0021] Figure 5 It is a schematic diagram of the measurement results provided by the present invention. DETAILED DESCRIPTION

[0022] The present invention will be further described in detail below with reference to specific examples, but the embodiments of the present invention are not limited thereto.

[0023] To address the above issues, the present invention uses a character pointing determination strategy to optimize the directionality of crack expansion caused by damage to transparent protective materials, thereby enabling an assessment of the transparent protective material's continued serviceability. The present invention discloses a method for testing the visible area of a transparent protective material using visual information E. This method combines the unique visual pointing function of the visual character E with the damaged area of the transparent protective material, avoiding misjudgment of the damage range caused by the expansion of microcracks and enabling an assessment of the continued serviceability of the optically transparent protective material.

[0024] refer to Figure 1 As shown, the present invention provides a method for identifying a damaged area of an optically transparent protective material using a visual character E, comprising:

[0025] S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material;

[0026] In this step, a damaged optical protective material sample can be selected from the optical protective materials, or an undamaged optical protective material sample can be selected as the optical protective material sample to be tested. The optically transparent protective material to be tested is one or more optically transparent protective materials selected from glass, plastic and coating, and the present invention does not impose any restrictions on this.

[0027] S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample;

[0028] After obtaining the optical protective material sample to be tested, the present invention can also use anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample-specific substances on the surface, such as stains, dust, glue marks and other wipeable dirt.

[0029] S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed;

[0030] like Figure 2 As shown, the size of the visual E character used is based on Figure 2 As shown, the line width is 1 arcmin, the height is 5 arcmin, and the width is 5 arcmin.

[0031] refer to Figure 3 , Figure 3 Four typical cases where the visual character E is not recognizable are shown. Figure 3 It can be seen that the four unrecognizable cases have something in common: the optical protective material sample has a gap covering the E character. Figure 4 As shown, the visual information identification card includes a plurality of grids, each grid is provided with a visual character E, and the size of each grid is 10mm×10mm to 30×30mm.

[0032] S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods;

[0033] Specifically, S400 includes:

[0034] S410, covering the optical protective material sample on the visual information identification card, using a high-resolution image acquisition device to capture an image of the optical protective material sample covering the visual information identification card and performing correction, and counting all covered grids from the corrected image;

[0035] In this step, the optical protective material sample is placed on a visual information identification card. An optical flat panel light is used to illuminate the sample from the bottom. A dark box is used to cover the sample, and the flash is turned off. Image information is then captured to prevent misinterpretation of data due to surface reflections and shadows. Based on the captured image information, the boundaries of the area covered by the optical protective material sample are demarcated, and a corrected image is obtained using trapezoidal correction. The number of grid cells covered by the optical protective material sample in the corrected image is counted. If the area of any grid cell covered by the optical protective material sample does not exceed 50% of the area of that grid cell, it is not counted as covered. Otherwise, it is counted as covered.

[0036] S420: Transmit the corrected image to a processing device to identify the target grid occupied by the visual character E.

[0037] In this step, the corrected image is transmitted to the processing device, so as to count the grid where the visual character E with clear pointing is located from the corrected image, and use the grid as the target grid to obtain the target grid number.

[0038] Refer to the unrecognizable visual information to determine the clear direction of the "E" character. If the identifiable pointing grid is recorded as visible, it is counted as 1 grid. If the grid covered by the sample cannot infer the clear direction of the visual information E, the grid is considered invisible and not counted. Typical invisible situations are as follows: Figure 3 shown.

[0039] S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

[0040] This step determines the damaged area of the optical protective material sample based on the percentage of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located. Specifically, the visual information identification card can be kept stationary, the optical protective material sample can be rotated 90°, and the process of determining the total number of grid cells covered by the optical protective material sample and the target number of grid cells can be repeated. The damaged area of the optical protective material sample can be determined based on the percentage of the average of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located.

[0041] This step can be calculated based on the percentage of all the grids covered by the optical protective material sample to the target grid number. The specific expression is: Thus, the number of grids in the damaged area of the optical protective material sample is determined, which is expressed as: The damaged area is determined in combination with the area where the target grid is located. A represents the damaged area of the optical protective material sample, n represents the number of target grids that can be logically identified through the optical protective material sample, and N represents the total number of grids covered by the optical protective material sample.

[0042] The following describes three examples respectively according to S100-S500.

[0043] Example 1

[0044] S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material;

[0045] In this step, a damaged optical protective material sample can be selected from the optical protective materials, or an undamaged optical protective material sample can be selected as the optical protective material sample to be tested. The optically transparent protective material to be tested is one or more optically transparent protective materials selected from glass, plastic and coating, and the present invention does not impose any restrictions on this.

[0046] S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample;

[0047] After obtaining the optical protective material sample to be tested, the present invention can also use anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample-specific substances on the surface, such as stains, dust, glue marks and other wipeable dirt.

[0048] S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed;

[0049] like Figure 2 As shown, the size of the visual E character used is based on Figure 2 As shown, the line width is 1 arcmin, the height is 5 arcmin, and the width is 5 arcmin.

[0050] refer to Figure 3 , Figure 3 Four typical cases where the visual character E is not recognizable are shown. Figure 3 It can be seen that the four unrecognizable cases have something in common: the optical protective material sample has a gap covering the E character. Figure 4 As shown, the visual information identification card includes a plurality of grids, each grid is provided with a visual character E, and the size of each grid is 10 mm×10 mm.

[0051] S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods;

[0052] Specifically, S400 includes:

[0053] S410, covering the optical protective material sample on the visual information identification card, using a high-resolution image acquisition device to capture an image of the optical protective material sample covering the visual information identification card and performing correction, and counting all covered grids from the corrected image;

[0054] In this step, the optical protective material sample is placed on a visual information identification card. An optical flat panel light is used to illuminate the sample from the bottom. A dark box is used to cover the sample, and the flash is turned off. Image information is then captured to prevent misinterpretation of data due to surface reflections and shadows. Based on the captured image information, the boundaries of the area covered by the optical protective material sample are demarcated, and a corrected image is obtained using trapezoidal correction. The number of grid cells covered by the optical protective material sample in the corrected image is counted. If the area of any grid cell covered by the optical protective material sample does not exceed 50% of the area of that grid cell, it is not counted as covered. Otherwise, it is counted as covered.

[0055] S420: Transmit the corrected image to a processing device to identify the target grid occupied by the visual character E.

[0056] In this step, the corrected image is transmitted to the processing device, so as to count the grid where the visual character E with clear pointing is located from the corrected image, and use the grid as the target grid to obtain the target grid number.

[0057] Refer to the unrecognizable visual information to determine the clear direction of the "E" character. If the identifiable pointing grid is recorded as visible, it is counted as 1 grid. If the grid covered by the sample cannot infer the clear direction of the visual information E, the grid is considered invisible and not counted. Typical invisible situations are as follows: Figure 3 shown.

[0058] S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

[0059] This step determines the damaged area of the optical protective material sample based on the percentage of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located. Specifically, the visual information identification card can be kept stationary, the optical protective material sample can be rotated 90°, and the process of determining the total number of grid cells covered by the optical protective material sample and the target number of grid cells can be repeated; the damaged area of the optical protective material sample can be determined based on the percentage of the average of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located.

[0060] This step can be based on the percentage of all the grids covered by the optical protective material sample to the target grid number. The specific expression is: Thus, the number of grids in the damaged area of the optical protective material sample is determined, which is expressed as: The damaged area is determined in combination with the area where the target grid is located. A represents the damaged area of the optical protective material sample, n represents the number of target grids that can be logically identified through the optical protective material sample, and N represents the total number of grids covered by the optical protective material sample.

[0061] Example 2

[0062] S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material;

[0063] In this step, a damaged optical protective material sample can be selected from the optical protective materials, or an undamaged optical protective material sample can be selected as the optical protective material sample to be tested. The optically transparent protective material to be tested is one or more optically transparent protective materials selected from glass, plastic and coating, and the present invention does not impose any restrictions on this.

[0064] S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample;

[0065] After obtaining the optical protective material sample to be tested, the present invention can also use anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample-specific substances on the surface, such as stains, dust, glue marks and other wipeable dirt.

[0066] S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed;

[0067] like Figure 2 As shown, the size of the visual E character used is based on Figure 2 As shown, the line width is 1 arcmin, the height is 5 arcmin, and the width is 5 arcmin.

[0068] refer to Figure 3 , Figure 3 Four typical cases where the visual character E is not recognizable are shown. Figure 3 It can be seen that the four unrecognizable cases have something in common: the optical protective material sample has a gap covering the E character. Figure 4 As shown, the visual information identification card includes a plurality of grids, each grid is provided with a visual character E, and the size of each grid is 15 mm×15 mm.

[0069] S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods;

[0070] Specifically, S400 includes:

[0071] S410, covering the optical protective material sample on the visual information identification card, using a high-resolution image acquisition device to capture an image of the optical protective material sample covering the visual information identification card and performing correction, and counting all covered grids from the corrected image;

[0072] In this step, the optical protective material sample is placed on a visual information identification card. An optical flat panel light is used to illuminate the sample from the bottom. A dark box is used to cover the sample, and the flash is turned off. Image information is then captured to prevent misinterpretation of data due to surface reflections and shadows. Based on the captured image information, the boundaries of the area covered by the optical protective material sample are demarcated, and a corrected image is obtained using trapezoidal correction. The number of grid cells covered by the optical protective material sample in the corrected image is counted. If the area of any grid cell covered by the optical protective material sample does not exceed 50% of the area of that grid cell, it is not counted in the number of covered grid cells. Otherwise, it is counted in the number of covered grid cells.

[0073] S420: Transmit the corrected image to a processing device to identify the target grid occupied by the visual character E.

[0074] In this step, the corrected image is transmitted to the processing device, so as to count the grid where the visual character E with clear pointing is located from the corrected image, and use the grid as the target grid to obtain the target grid number.

[0075] Refer to the unrecognizable visual information to determine the clear direction of the "E" character. If the identifiable pointing grid is recorded as visible, it is counted as 1 grid. If the grid covered by the sample cannot infer the clear direction of the visual information E, the grid is considered invisible and not counted. Typical invisible situations are as follows: Figure 3 shown.

[0076] S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

[0077] This step determines the damaged area of the optical protective material sample based on the percentage of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located. Specifically, the visual information identification card can be kept stationary, the optical protective material sample can be rotated 90°, and the process of determining the total number of grid cells covered by the optical protective material sample and the target number of grid cells can be repeated. The damaged area of the optical protective material sample can be determined based on the percentage of the average of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located.

[0078] This step can be calculated based on the percentage of all the grids covered by the optical protective material sample to the target grid number. The specific expression is: Thus, the number of grids in the damaged area of the optical protective material sample is determined, which is expressed as: The damaged area is determined in combination with the area where the target grid is located. A represents the damaged area of the optical protective material sample, n represents the number of target grids that can be logically identified through the optical protective material sample, and N represents the total number of grids covered by the optical protective material sample.

[0079] Example 3

[0080] S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material;

[0081] In this step, a damaged optical protective material sample can be selected from the optical protective materials, or an undamaged optical protective material sample can be selected as the optical protective material sample to be tested. The optically transparent protective material to be tested is one or more optically transparent protective materials selected from glass, plastic and coating, and the present invention does not impose any restrictions on this.

[0082] S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample;

[0083] After obtaining the optical protective material sample to be tested, the present invention can also use anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample-specific substances on the surface, such as stains, dust, glue marks and other wipeable dirt.

[0084] S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed;

[0085] like Figure 2 As shown, the size of the visual E character used is based on Figure 2 As shown, the line width is 1 arcmin, the height is 5 arcmin, and the width is 5 arcmin.

[0086] refer to Figure 3 , Figure 3 Four typical cases where the visual character E is not recognizable are shown. Figure 3 It can be seen that the four unrecognizable cases have something in common: the optical protective material sample has a gap covering the E character. Figure 4 As shown, the visual information identification card includes a plurality of grids, each grid is provided with a visual character E, and the size of each grid is 30×30 mm.

[0087] S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods;

[0088] Specifically, S400 includes:

[0089] S410, covering the optical protective material sample on the visual information identification card, using a high-resolution image acquisition device to capture an image of the optical protective material sample covering the visual information identification card and performing correction, and counting all covered grids from the corrected image;

[0090] In this step, the optical protective material sample is placed on a visual information identification card. An optical flat panel light is used to illuminate the sample from the bottom. A dark box is used to cover the sample, and the flash is turned off. Image information is then captured to prevent misinterpretation of data due to surface reflections and shadows. Based on the captured image information, the boundaries of the area covered by the optical protective material sample are demarcated, and a corrected image is obtained using trapezoidal correction. The number of grid cells covered by the optical protective material sample in the corrected image is counted. If the area of any grid cell covered by the optical protective material sample does not exceed 50% of the area of that grid cell, it is not counted as covered. Otherwise, it is counted as covered.

[0091] S420: Transmit the corrected image to a processing device to identify the target grid occupied by the visual character E.

[0092] In this step, the corrected image is transmitted to the processing device, so as to count the grid where the visual character E with clear pointing is located from the corrected image, and use the grid as the target grid to obtain the target grid number.

[0093] Refer to the unrecognizable visual information to determine the clear direction of the "E" character. If the identifiable pointing grid is recorded as visible, it is counted as 1 grid. If the grid covered by the sample cannot infer the clear direction of the visual information E, the grid is considered invisible and not counted. Typical invisible situations are as follows: Figure 3 shown.

[0094] S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

[0095] This step determines the damaged area of the optical protective material sample based on the percentage of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located. Specifically, the visual information identification card can be kept stationary, the optical protective material sample can be rotated 90°, and the process of determining the total number of grid cells covered by the optical protective material sample and the target number of grid cells can be repeated; the damaged area of the optical protective material sample can be determined based on the percentage of the average of the total number of grid cells to the target number of grid cells, combined with the area where the target grid cells are located.

[0096] This step can be based on the percentage of all the grids covered by the optical protective material sample to the target grid number. The specific expression is: Thus, the number of grids in the damaged area of the optical protective material sample is determined, which is expressed as: The damaged area is determined in combination with the area where the target grid is located. A represents the damaged area of the optical protective material sample, n represents the number of target grids that can be logically identified through the optical protective material sample, and N represents the total number of grids covered by the optical protective material sample.

[0097] Refer to Table 1, which shows the measurement results of the damaged area of Examples 1-3:

[0098]

[0099]

[0100] It can be seen from Table 1 that the larger the size of the visual character E, the easier it is to logically recognize.

[0101] refer to Figure 5 As shown, Figure 5 The measurement results of the damaged area are shown. Figure 5 The test sample size of the visual information photo imported into the computer is 300×300mm, and the red part is the computer counting mark.

[0102] After determining the damaged area, the present invention can use the area of the damaged area to evaluate the sustainability of the optical protective material sample.

[0103] The present invention uses visual information E to measure the visible area of optically transparent protective materials. Its essence is to calculate the service life of protective materials through logical processing of images, avoiding the influence of minor surface defects and unevenness on the determination of the service life of transparent protective materials. Compared with the existing test methods for the visible area of optically transparent materials, the present invention belongs to the test of relative visible area, which realizes the directional optimization of the crack propagation area, which is consistent with the replacement cycle of optically transparent protective materials and effectively reduces the user's cost of use. The present invention evaluates the service life of the product under the premise that the protective performance of the transparent protective material has not been significantly reduced. The present invention is simple to operate, convenient and fast, can complete the test in a short time, and the test results have high stability. The present invention recognizes visual information based on the visual logic habits of the human body, weakens the influence of the expansion of coarse and fine cracks on the visible area of transparent protective materials, and is consistent with the actual application environment, providing guidance for the replacement of transparent protective materials and the determination of their service life.

[0104] It is worth noting that the terms "first" and "second" in this disclosure are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, features defined as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of this disclosure, "plurality" means two or more, unless otherwise specifically defined.

[0105] Although the present application is described herein with reference to various embodiments, those skilled in the art will be able to understand and implement other variations of the disclosed embodiments in practicing the claimed application by reviewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality.

[0106] The above is a further detailed description of the present invention in conjunction with specific preferred embodiments, and the specific implementation of the present invention should not be considered to be limited to these descriptions. For those skilled in the art of the present invention, without departing from the concept of the present invention, several simple deductions or substitutions can be made, which should be considered to fall within the scope of protection of the present invention.

Claims

1. A method for identifying damaged areas of an optically transparent protective material using a visual character E, characterized in that: include: S100, obtaining a sample of an optical protective material to be tested, and determining the size of the sample of the optical protective material; S200, using anhydrous ethanol to clean the surface of the damaged optical protective material sample to remove non-sample substances on the surface, thereby obtaining a treated optical protective material sample; S300, designing a visual information identification card using the size of the optical protective material sample and the visual characters E, so that the visual information identification card includes a plurality of visual characters E, and the directions of the visual characters E are randomly distributed; S400, covering the processed optical protection material sample on the visual information identification card, and counting the number of all grids covered by the optical protection material sample and the number of target grids that can be logically identified using different methods; S500: Determine the damaged area of the optical protective material sample by using the number of all grids covered by the optical protective material sample and the number of target grids that can be logically identified.

2. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 1, characterized in that: The optically transparent protective material to be tested is one or more optically transparent protective materials selected from the group consisting of glass, plastic, and coating.

3. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 1, wherein: The visual character E is dynamically adjusted according to the crack width of the optical protective material sample. The visual information identification card includes multiple grids, each grid is provided with a visual character E, and the size of each grid is 10mm×10mm~30×30mm.

4. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 3, wherein: S400 includes: S410, covering the optical protective material sample on the visual information identification card, using a high-resolution image acquisition device to capture an image of the optical protective material sample covering the visual information identification card and performing correction, and counting all covered grids from the corrected image; S420: Transmit the corrected image to a processing device to identify the target grid occupied by the visual character E.

5. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 4, characterized in that: The S410 includes: Cover the optical protective material sample on the visual information identification card, use an optical flat panel light to fill light from the bottom of the sample, cover the sample with a dark box, turn off the flash, and then collect image information; Based on the collected image information, the boundary of the area covered by the optical protective material sample is calibrated, and then the corrected image is obtained using trapezoidal correction; Count all the grids covered by the optical protection material sample in the corrected image.

6. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 5, wherein: When counting all the grid numbers covered by the optical protective material sample in the corrected image, if any grid area covered by the optical protective material sample does not exceed 50% of the area of the grid, it will not be counted in the number of covered grids; otherwise, it will be counted in the number of covered grids.

7. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 5, wherein: The S420 includes: The corrected image is transmitted to a processing device, so as to count the grid where the visual character E with clear pointing is located from the corrected image, and use the grid as the target grid to obtain the target grid number.

8. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 5, wherein: S500 includes: The damaged area of the optical protective material sample is determined based on the percentage of the total number of grids and the target number of grids and in combination with the area where the target grid is located.

9. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 5, wherein: S500 includes: Keeping the visual information identification card stationary, the optical protective material sample is rotated 90 degrees, and the process of determining the number of all grids covered by the optical protective material sample and the target number of grids is repeated; The damaged area of the optical protective material sample is determined based on the percentage of the average value of all grid numbers and the target grid number and the area where the target grid is located.

10. The method for identifying damaged areas of an optically transparent protective material using visual characters E according to claim 1, wherein: After determining the damaged area of the optical protective material sample, the method further includes: The area of the damaged region is used to evaluate the durability of the optical protective material sample.

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