A method and apparatus for generating a thin-film hologram

Abstract

This invention relates to the field of laser holographic image generation technology, and more particularly to a method and apparatus for generating thin-film holograms. The system includes steps S1: thin-film pretreatment; S2: coating operation and continuity detection; S3: quality ratio analysis of the coated thin film; S4: holographic image inspection; and S5: adjustment of coating quality inspection parameters. This invention performs surface pretreatment on the thin film, conducts a coating operation and performs continuity detection on the coating liquid, performs quality ratio analysis when the detection result indicates local discontinuity, and implements corresponding recoating measures. After illumination treatment, image recognition technology is used to inspect the quality of the hologram on the thin film, and relevant parameters are adjusted based on quality fluctuations during the coating process to ensure that the final product meets quality standards. This invention features efficient and stable coating technology, ensuring thin-film quality while improving production efficiency, and has broad applicability to the production of anti-counterfeiting labels, trademarks, and custom stickers.

Description

Technical Field

[0001] This invention relates to the field of laser holographic image generation technology, and in particular to a method and apparatus for generating thin-film holograms. Background Technology

[0002] The quality of thin-film hologram generation directly affects the final image's effect and stability. Traditional thin-film coating processes rely heavily on manual or experience-based control, resulting in problems such as uneven coating, unstable coating thickness, and insufficient control of impurity particles. These issues not only affect coating quality but can also lead to unsatisfactory hologram results, or even render the image unusable in severe cases. Furthermore, real-time monitoring and adjustment of the coating solution ratio and coating quality during the coating process are often complex, lacking effective automated control methods.

[0003] To improve the accuracy and stability of the coating process, existing technologies have attempted to introduce automated detection and control methods, such as evaluating coating quality through image scanning. However, these technologies still face problems such as inaccurate judgment of the continuity of the coating liquid and lag in adjusting coating quality. In addition, traditional technologies also suffer from inaccuracies in judging the degree of curing during the coating process, making it impossible to take timely and effective remedial measures.

[0004] Therefore, developing a more precise and intelligent method for generating thin-film holograms is particularly important. This method should ensure the stability and consistency of coating quality through comprehensive monitoring, real-time detection, and feedback adjustments of the coating process, while optimizing the final coating quality through refined recoating remedial measures. Furthermore, enhancing temperature control and real-time detection during the curing process is crucial for improving the overall quality and stability of thin-film holograms.

[0005] Chinese Patent Publication No. CN108215410A discloses a TPU film for anti-counterfeiting protection of documents and its preparation method. The film includes a substrate layer and a TPU layer disposed on the substrate layer. A laser holographic anti-counterfeiting image is printed on the TPU layer. The TPU layer comprises the following raw material components in the indicated mass fractions: 15-30 parts isocyanate, 15-30 parts isothiocyanate, 80-120 parts oligomeric diol, 10-20 parts chain extender, and 2-5 parts catalyst. The TPU film is prepared by first polymerizing a polyurethane elastomer, then blowing it with the substrate layer material using a double-layer co-extrusion blown film machine, and finally printing the laser holographic anti-counterfeiting image onto the TPU layer. However, this method primarily focuses on the material composition and coating process, lacking a dynamic detection and adjustment mechanism for coating quality, resulting in weak dynamic adjustment capabilities and poor risk prevention capabilities. Summary of the Invention

[0006] Therefore, the present invention provides a method and apparatus for generating thin film holograms to overcome the problems of the existing technology, such as the single lateral exposure exclusion method in the coating process and the weak ability to adjust preset parameters.

[0007] To achieve the above objectives, in one aspect, the present invention provides a method for generating thin-film holograms, comprising:

[0008] The film is pretreated, including corona treatment and pre-shearing process.

[0009] The pretreated film is coated using a standard coating operation with a preset coating liquid spraying amount and a standard coating operation procedure. After the operation is completed, each coating quality detection parameter is obtained to detect the coating quality, including coating continuity assessment and coating film quality ratio analysis.

[0010] The standard coating operation includes spraying the coating liquid, spreading the coating liquid, and applying the coating liquid in a measured amount by scraping.

[0011] The coating continuity assessment is used to obtain scanned images of the coated film, and the continuity category of the coating liquid is determined based on the scanned images.

[0012] If the coating liquid is classified as a continuous category but is also classified as a partially discontinuous category, perform the coating film quality ratio analysis, including coating liquid retention quality analysis and coating liquid ratio analysis.

[0013] If the coating liquid retention quality analysis yields the first retention quality result and the coating liquid ratio analysis result is the second coating liquid density, the recoating trigger judgment step is executed, including impurity quantity detection and curing degree judgment;

[0014] If the first impurity detection result is obtained through the impurity quantity detection and the curing degree is determined to be in an uncured state, re-coating remedial measures are taken and photoreaction treatment is performed.

[0015] The hologram after the light reaction is inspected for quality, and the coating quality detection parameters are adjusted based on different abnormal quality types.

[0016] Furthermore, the pre-shearing process includes,

[0017] Obtain the film thickness value and various parameter information of the target hologram, wherein the various parameter information of the target hologram includes the target hologram size value and the target hologram image information;

[0018] Obtain the comparison result between the film thickness value and the standard thickness threshold, and determine whether to perform a pre-shearing process based on the comparison result;

[0019] This involves comparing the film thickness value with a standard thickness threshold.

[0020] If the film thickness is less than the standard thickness threshold, the shearing number acquisition step is performed, the film is sheared with the standard shearing area, and further photoreaction treatment is performed after the standard coating operation is performed.

[0021] If the film thickness value is greater than or equal to the standard thickness threshold, the shearing number is obtained based on the shearing number acquisition step, the film is not pre-sheared, the subsequent standard coating operation is performed, and the coating quality is detected.

[0022] The step of obtaining the shearing number involves determining the coating area of ​​the target hologram based on the target hologram size value and the size scale factor, thereby determining the shearing area of ​​the film and the standard shearing size value corresponding to the shearing area, and obtaining the standard shearing area and shearing number corresponding to the standard shearing size value.

[0023] Furthermore, the detection of the coating quality includes,

[0024] Acquire scanned images of the coated film, including scanned images of the coated surface and scanned images of the side surface;

[0025] The continuity of the coating is evaluated based on the scanned image of the coating surface to determine the continuity category of the coating liquid, including the overall continuity category of the coating liquid and the local discontinuity category of the coating liquid.

[0026] If the coating liquid is classified as a continuous coating liquid, thickness testing is performed, and based on the test results, it is determined whether to take recoating remedial measures, and the number of recoatings is limited when different recoating remedial measures are taken.

[0027] If the coating liquid is classified as a continuous category but is classified as a partially discontinuous category, perform a coating film quality ratio analysis and determine whether to take recoating remedial measures based on the quality ratio analysis results, or perform a recoating trigger judgment step based on the side scan image.

[0028] The remedial measure for recoating is to repeat the standard coating procedure.

[0029] Furthermore, the process for evaluating coating continuity includes,

[0030] Obtain the coating region number of each target hologram, and update the cut number obtained from the cut processing to the coating region number corresponding to each target hologram;

[0031] Obtain the closed contour image of the coating liquid and the internal area of ​​the closed contour from the scanned image of the coating surface within any coating area. Calculate the area error normalization index and compare it with the standard area error.

[0032] If the normalization index of the standard area error is less than the standard area error, the first average thickness of the coating area of ​​the target hologram is further obtained, and the first average thickness is subjected to thickness detection to determine whether the coating liquid film exists.

[0033] If the normalization index of the standard area error is greater than or equal to the standard area error, the coating liquid film breaks, the continuous category of the coating liquid is the local discontinuous category of the coating liquid, and the coating film quality ratio analysis is performed on the coating area of ​​the target hologram, including coating liquid retention quality analysis and coating liquid ratio analysis. When the coating liquid retention quality analysis obtains the first retention quality result, the coating liquid ratio analysis is further performed.

[0034] The area error normalization index is the ratio of the absolute value of the difference between the internal area of ​​the closed contour and the area of ​​the coating region of the target hologram to the area of ​​the coating region of the target hologram.

[0035] Furthermore, the thickness detection includes,

[0036] The first average thickness value is compared with the standard coating liquid thickness threshold.

[0037] If the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, photoreaction treatment is performed.

[0038] If the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, reduce the scraping speed in the quantitative scraping step of the coating liquid, implement re-coating remedial measures, and limit the re-coating to two times or less.

[0039] If the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment has malfunctioned. Re-coating remedial measures should be implemented and re-coating should be limited to three times or less.

[0040] Furthermore, the process for analyzing the retention quality of the coating solution is as follows:

[0041] Obtain the coating liquid retention quality within the coating area of ​​any target hologram and compare it with the standard retention quality.

[0042] If the remaining mass of the coating solution is greater than or equal to the standard remaining mass, the first remaining mass result is obtained, and the coating solution ratio analysis is performed.

[0043] If the remaining quality of the coating liquid is less than the standard remaining quality, a second remaining quality result is obtained. The preset coating liquid spraying amount is increased, and after recoating and remedial measures are implemented, photoreaction treatment is carried out.

[0044] The standard retention quality refers to the theoretical quality of the coating solution remaining on the film under each standard operation.

[0045] Furthermore, the process of performing the coating solution ratio analysis is as follows:

[0046] Obtain the initial ratio of the coating liquid and the real-time flow rate of the coating liquid within the coating area of ​​the target hologram;

[0047] Based on the density empirical conversion formula, the real-time density of the coating liquid corresponding to the real-time flow rate of the coating liquid is obtained.

[0048] The real-time density of the coating solution was compared with the standard density threshold corresponding to the initial mixing ratio of the coating solution.

[0049] If the real-time density of the coating liquid is less than or equal to the standard density threshold, the first coating liquid density is obtained. If the real-time density of the coating liquid is not abnormal, the scraping gap in the quantitative scraping step of the coating liquid is reduced, and re-coating and photoreaction treatment are performed.

[0050] If the real-time density of the coating liquid is greater than the standard density threshold, the second coating liquid density is obtained. If the real-time density of the coating liquid is abnormal, the recoating trigger judgment step is further executed.

[0051] Furthermore, the process of detecting the number of impurities is as follows:

[0052] The number of impurity particles in the coating liquid is obtained from the scanning images of the coating surface and side surface, and compared with the standard impurity number threshold to obtain the first impurity detection result and the second impurity detection result.

[0053] If the first impurity detection result is obtained, the impurity elimination measures are implemented and the impurity quantity is re-detected until the number of re-detected impurities is less than the standard impurity quantity threshold.

[0054] If the second impurity test result is obtained, the degree of curing is further judged to determine whether it meets the recoating standard;

[0055] Among them, re-detection of impurity quantity means re-performing the impurity quantity detection;

[0056] The process of determining the degree of curing is to perform curing detection on the coating area of ​​any target hologram to obtain the solid state detection result;

[0057] If it is already cured, adjust the ambient light intensity, obtain the number of the coating area of ​​the target hologram, mark the area as an area that cannot be recoated, and perform photoreaction processing;

[0058] If it is in an uncured state, obtain the ratio adjustment factor corresponding to the current coating liquid ratio, adjust the coating liquid ratio parameters according to the factor, and perform recoating and remedial measures with the current coating liquid ratio before performing photoreaction treatment.

[0059] Holographic image inspection is performed on the coated area of ​​the target hologram after photoreaction processing to check the quality of the hologram after photoreaction.

[0060] Furthermore, adjusting coating quality detection parameters based on different types of abnormal quality includes:

[0061] The scanned image of the hologram to be detected within the target hologram coating area after photoreaction processing is obtained. The scanned image of the hologram to be detected is divided into several regions of preset size as several gray blocks to be detected. The scanned image of the hologram to be detected is then analyzed to obtain the image grayscale.

[0062] The image grayscale is compared and judged using standard grayscale values ​​to obtain the judgment results of normal grayscale and abnormal grayscale.

[0063] If the grayscale is normal, obtain the outline of the hologram to be detected in the scanned image of the hologram to be detected, and determine whether the similarity of the outline of the hologram to be detected meets the preset similarity standard.

[0064] If the similarity preset standard is met, the quality of the hologram to be detected meets the production requirements;

[0065] If the similarity preset standard is not met, the quality of the hologram to be detected does not meet the production requirements, and the preset coating liquid spraying amount is reduced; if it is a gray-scale anomaly judgment result, the gray-scale anomaly area in each gray area block and the total gray-scale anomaly area of ​​the scanned image of the hologram to be detected are obtained, and compared with the local anomaly threshold and the overall anomaly threshold respectively.

[0066] If the grayscale anomaly is locally distributed, residual impurities will affect holographic imaging. Adjust the standard impurity quantity threshold.

[0067] If the grayscale anomaly is distributed throughout the entire image, the entire area of ​​the holographic scan image to be detected is determined to be the solidified area, and the standard reaction force threshold in the solidification detection is adjusted.

[0068] On the other hand, the present invention also provides a thin-film hologram generation apparatus applied to the above-described thin-film hologram generation method, comprising,

[0069] The conveying mechanism is used to drive the film to move along a specified path, so that it passes through each processing station in sequence;

[0070] A corona treatment mechanism is used to corona treat the film conveyed by the conveying mechanism.

[0071] A pre-shearing mechanism, connected to a corona treatment mechanism, is used to obtain a film that has undergone corona treatment and meets the pre-shearing standard, and to cut the film.

[0072] The coating liquid spraying mechanism is connected to the front shearing mechanism. It is used to obtain a film and spray the coating liquid evenly onto the film surface according to the preset coating liquid spraying amount.

[0073] The coating liquid spreading mechanism is connected to the coating liquid spraying mechanism. It is used to spread the sprayed coating liquid so that it evenly covers the surface of the film to obtain a coating layer.

[0074] A coating liquid metering scraping mechanism is connected to the coating liquid metering scraping mechanism. It is used to obtain the coating layer and scrape the coating layer with a preset scraping gap to form a coated film.

[0075] The first vision scanning mechanism is connected to the coating liquid metering and scraping mechanism, and is used to scan the coated film to obtain scanned images and side scanned images.

[0076] The weight detection mechanism is connected to the coating liquid metering and scraping mechanism, and is used to detect the weight of the film and coating liquid in a specific area;

[0077] Impurity detection equipment is used to determine the quantity and location of impurities in an image;

[0078] Curing testing agencies are used to test the degree of curing of coating liquids;

[0079] The photo-reaction mechanism, which is connected to the first visual scanning mechanism and the curing detection mechanism, is used to emit a light source of a specific wavelength to irradiate the coating area so that the thin film pattern is formed.

[0080] A second visual scanning mechanism is used to acquire a scanned image of the hologram to be detected;

[0081] The secondary processing mechanism is used for drying, water-cooled curing, inline exposure operations, and secondary curing of UI lamps;

[0082] The control mechanism is connected to the conveying mechanism, the corona treatment mechanism, the pre-shearing mechanism, the coating liquid spraying mechanism, the coating liquid spreading mechanism, the coating liquid quantitative scraping mechanism, the first visual scanning mechanism, the weight detection mechanism, the impurity detection mechanism, the curing detection mechanism, the photoreaction mechanism, the second visual scanning mechanism, and the secondary processing mechanism, respectively, and is used to control the working process of each mechanism.

[0083] Compared with existing technologies, the advantages of this invention are as follows: This invention follows a standard coating process, sequentially performing spraying, spreading, and quantitative scraping, resulting in a more stable coating liquid distribution and significantly reducing local accumulation and film breakage caused by human error or equipment fluctuations. By scanning images to identify the continuity of the coating liquid, it further achieves accurate identification and classification of discontinuous areas. For areas with local discontinuities, it quantifies material residue and compositional anomalies through mass ratio analysis. When excessive impurities or insufficient curing are detected, it triggers recoating and performs photoreaction processing, effectively improving edge image quality and reducing interference from lateral light penetration. Finally, the hologram quality re-inspection and parameter adjustment mechanism enables the system to have closed-loop self-optimization capabilities, improving overall yield and batch stability, and meeting the continuous production needs of high-precision optical films or anti-counterfeiting labels.

[0084] Furthermore, this step introduces the area error normalization index as a judgment criterion, which can quickly and accurately assess the integrity of the coating liquid spreading within the target hologram area. This parameter is based on the deviation between the actual closed contour area of ​​the coating and the standard coating area, which significantly improves the automatic identification capability for problems such as film breakage and local peeling.

[0085] Furthermore, this step automatically adjusts the coating speed based on the test results and limits the number of recoating cycles, effectively improving the stability and reliability of the coating process and preventing image blurring and film defects caused by repeated recoating, thereby ensuring the interference quality and visual clarity of the final hologram product.

[0086] Furthermore, this step achieves precise monitoring of the actual mixing ratio of the coating liquid by acquiring the flow rate of the coating liquid in real time and calculating its density based on empirical formulas. Combined with the setting mechanism of the scraping gap adjustment factor, the scraping gap can be adjusted in time when a slight deviation in the mixing ratio is detected, thereby enhancing the uniformity and tightness of the film coating and effectively avoiding problems such as blurred patterns or incomplete interference caused by mixing ratio fluctuations. Attached Figure Description

[0087] Figure 1 This is a schematic diagram of the thin-film hologram generation method according to an embodiment of the present invention;

[0088] Figure 2 This is a logic decision diagram for detecting coating quality according to an embodiment of the present invention;

[0089] Figure 3 This is a logic diagram for impurity quantity detection in an embodiment of the present invention;

[0090] Figure 4 This is a schematic diagram of the structure of the thin-film hologram generation device according to an embodiment of the present invention. Detailed Implementation

[0091] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.

[0092] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0093] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0094] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0095] Please see Figure 1 As shown, this is a schematic diagram of a virtual reality-based respiratory rehabilitation system according to an embodiment of the present invention. The present invention provides a method and apparatus for generating thin-film holograms, including...

[0096] The film is pretreated, including corona treatment and pre-shearing process.

[0097] The pretreated film is coated using a standard coating operation with a preset coating liquid spraying amount and a standard coating operation procedure. After the operation is completed, each coating quality detection parameter is obtained to detect the coating quality, including coating continuity assessment and coating film quality ratio analysis.

[0098] The standard coating operation includes spraying the coating liquid, spreading the coating liquid, and applying the coating liquid in a measured amount by scraping.

[0099] The coating continuity assessment is used to obtain scanned images of the coated film, and the continuity category of the coating liquid is determined based on the scanned images.

[0100] If the coating liquid is classified as a continuous category but is also classified as a partially discontinuous category, perform the coating film quality ratio analysis, including coating liquid retention quality analysis and coating liquid ratio analysis.

[0101] If the coating liquid retention quality analysis yields the first retention quality result and the coating liquid ratio analysis result is the second coating liquid density, the recoating trigger judgment step is executed, including impurity quantity detection and curing degree judgment;

[0102] If the first impurity detection result is obtained through the impurity quantity detection and the curing degree is determined to be in an uncured state, re-coating remedial measures are taken and photoreaction treatment is performed.

[0103] The hologram after the photoreaction is inspected for quality, and the coating quality detection parameters are adjusted based on different abnormal quality types.

[0104] This invention follows a standard coating process, sequentially performing spraying, spreading, and quantitative scraping to ensure a more stable coating liquid distribution and significantly reduce local accumulation and film breakage caused by human error or equipment fluctuations. By scanning images to identify the continuity of the coating liquid, it further enables accurate identification and classification of discontinuous areas. For areas with local discontinuities, it quantifies material residue and compositional anomalies through mass ratio analysis. When excessive impurities or insufficient curing are detected, it triggers recoating and performs photoreaction processing, effectively improving edge image quality and reducing interference from lateral light penetration. Finally, a hologram quality re-inspection and parameter adjustment mechanism enables the system to have closed-loop self-optimization capabilities, improving overall yield and batch stability, and meeting the continuous production needs of high-precision optical films or anti-counterfeiting labels.

[0105] Specifically, the pre-shearing process includes,

[0106] Obtain the film thickness value and various parameter information of the target hologram, wherein the various parameter information of the target hologram includes the target hologram size value and the target hologram image information;

[0107] Obtain the comparison result between the film thickness value and the standard thickness threshold, and determine whether to perform a pre-shearing process based on the comparison result;

[0108] This involves comparing the film thickness value with a standard thickness threshold.

[0109] If the film thickness is less than the standard thickness threshold, the shearing number acquisition step is performed, the film is sheared with the standard shearing area, and further photoreaction treatment is performed after the standard coating operation is performed.

[0110] If the film thickness value is greater than or equal to the standard thickness threshold, the shearing number is obtained based on the shearing number acquisition step, the film is not pre-sheared, the subsequent standard coating operation is performed, and the coating quality is detected.

[0111] The step of obtaining the shearing number involves determining the coating area of ​​the target hologram based on the target hologram size value and the size scale factor, thereby determining the shearing area of ​​the film and the standard shearing size value corresponding to the shearing area, and obtaining the standard shearing area and shearing number corresponding to the standard shearing size value.

[0112] In this embodiment, the coating area of ​​the hologram and the shearing area of ​​the film have a one-to-one correspondence, that is, each coating area corresponds to a unique shearing area, and the two coincide in spatial position.

[0113] The film thickness value is obtained by scanning the side of the coated film.

[0114] The hologram size value is the length and width of the hologram image. The cropping region corresponding to the hologram size value is the region after the hologram size value has been magnified by the size scaling factor, which is used for subsequent positioning and protection processing.

[0115] The target hologram image information includes the image center point coordinate system, image spatial frequency information, and image type identifier;

[0116] Among them, the image center point coordinate system is used for automatic alignment of the spraying area;

[0117] Image spatial band information is used to determine the required exposure bands for different band portions of an image;

[0118] The image type identifier is the pattern of the image;

[0119] Based on historical production data verification, a standard thickness threshold of 50μm was selected.

[0120] If the film thickness is less than this value, a pre-shearing process is required to prevent lateral light refraction from interfering with the interference pattern;

[0121] When the film thickness is greater than 50μm, light enters the interference area through the edge, forming a side-transmission error interference phenomenon, which affects image sharpness and phase consistency. In this case, the film is not sheared. The size scaling factor is set to 1.2, that is, the shearing area required for each image size is 20% larger than the actual image size, in order to avoid edge exposure defects. For example, if the target image size is 54mm×54mm, then its standard shearing area is 64.8mm×64.8mm.

[0122] This step, by introducing a pre-shearing process and setting a standard thickness threshold, effectively avoids the problem of blurred interference images or phase distortion caused by lateral light refraction when the film thickness is too small, thereby improving the imaging clarity and interference accuracy of the hologram. At the same time, by combining the size scaling factor, the sheared area has sufficient edge redundancy, ensuring the positioning accuracy and edge integrity during the coating and exposure processes, and enhancing the stability of image quality and process consistency.

[0123] See Figure 2 As shown, it is a logic decision diagram for detecting coating quality according to an embodiment of the present invention;

[0124] Specifically, detecting the coating quality includes,

[0125] Acquire scanned images of the coated film, including scanned images of the coated surface and scanned images of the side surface;

[0126] The continuity of the coating is evaluated based on the scanned image of the coating surface to determine the continuity category of the coating liquid, including the overall continuity category of the coating liquid and the local discontinuity category of the coating liquid.

[0127] If the coating liquid is classified as a continuous coating liquid, thickness testing is performed, and based on the test results, it is determined whether to take recoating remedial measures, and the number of recoatings is limited when different recoating remedial measures are taken.

[0128] If the coating liquid is classified as a continuous category but is classified as a partially discontinuous category, perform a coating film quality ratio analysis and determine whether to take recoating remedial measures based on the quality ratio analysis results, or perform a recoating trigger judgment step based on the side scan image.

[0129] The remedial measure for recoating is to repeat the standard coating procedure.

[0130] Specifically, the coating continuity assessment process includes,

[0131] Obtain the coating region number of each target hologram, and update the cut number obtained from the cut processing to the coating region number corresponding to each target hologram;

[0132] Obtain the closed contour image of the coating liquid and the internal area of ​​the closed contour from the scanned image of the coating surface within any coating area. Calculate the area error normalization index and compare it with the standard area error.

[0133] If the normalization index of the standard area error is less than the standard area error, the first average thickness of the coating area of ​​the target hologram is further obtained, and the first average thickness is subjected to thickness detection to determine whether the coating liquid film exists.

[0134] If the normalization index of the standard area error is greater than or equal to the standard area error, the coating liquid film breaks, the continuous category of the coating liquid is the local discontinuous category of the coating liquid, and the coating film quality ratio analysis is performed on the coating area of ​​the target hologram, including coating liquid retention quality analysis and coating liquid ratio analysis. When the coating liquid retention quality analysis obtains the first retention quality result, the coating liquid ratio analysis is further performed.

[0135] The area error normalization index is the ratio of the absolute value of the difference between the internal area of ​​the closed contour and the area of ​​the coating region of the target hologram to the area of ​​the coating region of the target hologram.

[0136] In this embodiment, the corresponding coating area number of each target hologram is first obtained. The coating area number is updated from the cutting number, which is derived from the unique number generated for each target hologram in the pre-cutting process.

[0137] The closed contour image of the coating liquid on the coating surface is extracted using an image recognition algorithm;

[0138] The formula for calculating the area error normalization index is:

[0139]

[0140] Where N is the area error normalization exponent;

[0141] Set the standard area error to 0.05;

[0142] A c The area inside the closed contour;

[0143] A s The area of ​​the coating region of the target hologram;

[0144] If the area of ​​the coating region of the target hologram is 54mm × 54mm, and the area of ​​the closed contour is 3500mm², then... 2 The area error normalization index = 0.166 > 0.05, indicating that the film layer is discontinuous;

[0145] The detection area on the side is scanned by an image recognition algorithm. The upper and lower surface contour lines are extracted from each scan line in the image. For each pixel position, the vertical distance between the upper and lower boundaries is calculated to obtain each thickness data point and the average value of each thickness data point, which is the first average thickness.

[0146] This step introduces the area error normalization index as a judgment standard, which can quickly and accurately assess the integrity of the coating liquid spreading within the target hologram area. This parameter is based on the deviation between the actual closed contour area of ​​the coating and the standard coating area, which significantly improves the automatic identification capability of problems such as film breakage and local peeling.

[0147] Specifically, the thickness detection includes,

[0148] The first average thickness value is compared with the standard coating liquid thickness threshold.

[0149] If the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, it is classified as a continuous coating liquid and undergoes photoreaction processing.

[0150] If the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, reduce the scraping speed in the quantitative scraping step of the coating liquid, implement re-coating remedial measures, and limit the re-coating to two times or less.

[0151] If the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment has malfunctioned. Re-coating remedial measures should be implemented and re-coating should be limited to three times or less.

[0152] In this embodiment, the standard coating liquid thickness threshold is set to 3.5 μm; this value is determined based on a large amount of historical production data, which can ensure that the coating has good interference and transmission properties during the photoreaction process.

[0153] Define a scraping speed adjustment factor, which is the ratio of the absolute value of the difference between the first average thickness value and the standard coating thickness threshold to the standard coating thickness threshold.

[0154] If the coating speed adjustment factor is less than 0.1, the coating speed should be reduced by 5%.

[0155] If the coating speed adjustment factor is greater than or equal to 0.1 and less than 0.3, the coating speed should be reduced by 10%.

[0156] If the coating speed adjustment factor is greater than or equal to 0.3, the coating speed should be reduced by 15%.

[0157] If the first average thickness of the coating area of ​​a certain hologram is 2.8 μm, the calculated coating speed adjustment factor is 0.2. Therefore, the coating speed should be reduced by 10%, and a recoating should be performed.

[0158] If the coating still does not meet the standard after the touch-up, a second touch-up can be applied, but no more than two times should be applied to prevent repeated interference with film formation and image distortion.

[0159] This step automatically adjusts the coating speed based on the test results and limits the number of recoatings, effectively improving the stability and reliability of the coating process and preventing image blurring and film defects caused by repeated recoatings, thus ensuring the interference quality and visual clarity of the final hologram product.

[0160] Specifically, the process for analyzing the retention quality of the coating solution is as follows:

[0161] Obtain the coating liquid retention quality within the coating area of ​​any target hologram and compare it with the standard retention quality.

[0162] If the remaining mass of the coating solution is greater than or equal to the standard remaining mass, the first remaining mass result is obtained, and the coating solution ratio analysis is performed.

[0163] If the remaining quality of the coating liquid is less than the standard remaining quality, a second remaining quality result is obtained. The preset coating liquid spraying amount is increased, and after recoating and remedial measures are implemented, photoreaction treatment is carried out.

[0164] Among them, the standard retention quality is the theoretical quality of the coating solution remaining on the film under each standard operation;

[0165] In this embodiment, the standard retention mass is set at 3.2 mg. This value has been repeatedly verified by experiments to be the minimum quality standard to ensure the formation of interference patterns in the film layer under normal temperature and humidity.

[0166] Define the coating liquid spraying amount adjustment factor as the ratio of the absolute value of the difference between the coating liquid retention quality and the standard retention quality to the standard retention quality.

[0167] If the coating liquid spraying amount adjustment factor is less than 0.2, increase the spraying amount by 5%.

[0168] If the coating liquid spraying amount adjustment factor is greater than or equal to 0.2 and less than 0.4, the spraying amount is increased by 10%.

[0169] If the coating liquid spraying amount adjustment factor is greater than or equal to 0.4, the spraying amount is increased by 15%;

[0170] For example, if the mass remaining in the coating area of ​​a certain hologram is 2.4 mg, and the coating amount adjustment factor is 0.25, the coating amount should be increased by 10%, and a recoating operation should be performed.

[0171] This step involves quantitatively analyzing the difference between the remaining quality of the coating liquid and the standard value, and dynamically adjusting the amount of coating liquid sprayed accordingly. This effectively addresses the problem of insufficient coating caused by fluctuations in spraying equipment, changes in ambient humidity, or uneven application, ensuring the interference capability and imaging clarity of the coating layer in subsequent photoreaction processing.

[0172] Specifically, the process of performing the coating solution ratio analysis is as follows:

[0173] Obtain the initial ratio of the coating liquid and the real-time flow rate of the coating liquid within the coating area of ​​the target hologram;

[0174] Based on the density empirical conversion formula, the real-time density of the coating liquid corresponding to the real-time flow rate of the coating liquid is obtained.

[0175] The real-time density of the coating solution was compared with the standard density threshold corresponding to the initial mixing ratio of the coating solution.

[0176] If the real-time density of the coating liquid is less than or equal to the standard density threshold, the first coating liquid density is obtained. If the real-time density of the coating liquid is not abnormal, the scraping gap in the quantitative scraping step of the coating liquid is reduced, and re-coating and photoreaction treatment are performed.

[0177] If the real-time density of the coating liquid is greater than the standard density threshold, the second coating liquid density is obtained. If the real-time density of the coating liquid is abnormal, the recoating trigger judgment step is further executed.

[0178] In this embodiment, the density empirical conversion formula is:

[0179] ρ 实 =kv 实 +b

[0180] Where, ρ 实 This refers to the real-time density of the coating solution.

[0181] v 实 Real-time flow rate of coating liquid

[0182] k is an empirical parameter obtained by fitting experiments based on different coating liquid ratios. In this embodiment, k is taken as 0.85.

[0183] b is an empirical parameter obtained by fitting experiments based on different coating liquid ratios, which is applicable to different types of coatings. In this embodiment, b = 0.12 is taken.

[0184] The real-time flow rate of the coating liquid is obtained by collecting data in real time through a miniature flow rate sensor installed at the front end of the spray path of the coating head. The flow rate value is calculated by combining the change in the sensor output frequency with the standard spraying speed. The sampling frequency is 50Hz and the real-time error does not exceed ±0.02mm / s.

[0185] The standard density threshold is 1.25 mg / mm³. 2 This value corresponds to an initial ratio that ensures optical interference effect while maintaining pattern clarity;

[0186] Define the scraping gap adjustment factor as:

[0187] Δ g =(ρ 标 -ρ 实 )*C

[0188] Δ g This is the coating gap adjustment factor;

[0189] ρ 标 The standard density threshold;

[0190] ρ 实 This refers to the real-time density of the coating solution.

[0191] C is the density-gap adjustment conversion coefficient, used to convert the density difference into the adjustment range of the coating gap. In this embodiment, the value is 60%.

[0192] If Δ g If the value is greater than 0 and less than 5%, reduce the scraping gap by 3%.

[0193] If Δ g For coating percentages greater than or equal to 5% but less than 8%, reduce the coating gap by 5%.

[0194] If Δ g If the value is greater than or equal to 8%, reduce the scraping gap by 8%.

[0195] This step achieves accurate monitoring of the actual mixing ratio of the coating liquid by acquiring the flow rate of the coating liquid in real time and calculating its density based on empirical formulas. Combined with the setting mechanism of the scraping gap adjustment factor, the scraping gap can be adjusted in time when a slight deviation in the mixing ratio is detected, thereby enhancing the uniformity and tightness of the film coating and effectively avoiding problems such as blurry patterns or incomplete interference caused by mixing ratio fluctuations.

[0196] See Figure 3 As shown, it is a logic decision diagram for impurity quantity detection in an embodiment of the present invention;

[0197] Specifically, the process of detecting the number of impurities is as follows:

[0198] The number of impurity particles in the coating liquid is obtained from the scanning images of the coating surface and side surface, and compared with the standard impurity number threshold to obtain the first impurity detection result and the second impurity detection result.

[0199] If the first impurity detection result is obtained, the impurity elimination measures are implemented and the impurity quantity is re-detected until the number of re-detected impurities is less than the standard impurity quantity threshold.

[0200] If the second impurity test result is obtained, the degree of curing is further judged to determine whether it meets the recoating standard;

[0201] Among them, re-detection of impurity quantity means re-performing the impurity quantity detection;

[0202] The process of determining the degree of curing is to perform curing detection on the coating area of ​​any target hologram to obtain the solid state detection result;

[0203] If it is already cured, adjust the ambient light intensity, obtain the number of the coating area of ​​the target hologram, mark the area as an area that cannot be recoated, and perform photoreaction processing;

[0204] If it is in an uncured state, obtain the ratio adjustment factor corresponding to the current coating liquid ratio, adjust the coating liquid ratio parameters according to the factor, and perform recoating and remedial measures with the current coating liquid ratio before performing photoreaction treatment.

[0205] Holographic image inspection is performed on the coating area of ​​the target hologram after photoreaction processing to check the quality of the hologram after photoreaction.

[0206] In this embodiment, a light-shielding blade is set at the ambient light source, and the opening and closing angle is dynamically adjusted to adjust the ambient light intensity. During curing, the angle between the light-shielding blade and the ceiling is set to 40 degrees to reduce the influence of ambient light.

[0207] The impurity detection steps are as follows:

[0208] The scanning images of the coated surface of the target hologram and its corresponding side scanning images are acquired synchronously, and the images are processed by an image recognition algorithm to identify impurity particles in the coating liquid.

[0209] The identification process employs a multi-level feature extraction model based on edge detection and grayscale threshold segmentation to distinguish the morphological features of different impurity particles, such as size, brightness distribution, and irregular contours. The detected impurity particles are then classified and labeled to obtain information on particle type and quantity.

[0210] The number of impurity particles was compared with the standard impurity number threshold.

[0211] If the number of impurity particles is greater than or equal to the standard impurity number threshold, the first impurity detection result is obtained. After implementing impurity elimination measures, the number of impurities is re-detected until the number of re-detected impurities is less than the standard impurity number threshold.

[0212] If the number of impurity particles is less than the standard impurity number threshold, continue to judge the degree of solidification.

[0213] The standard impurity number threshold is 15 particles / mm. 2 Impurity removal measures include local plasma cleaning and electrostatic adsorption cleaning, and image acquisition and detection are performed again after treatment to ensure that the cleanliness of the coating liquid meets the process requirements.

[0214] The determination of the degree of curing includes,

[0215] Based on historical production data, the areas that are most difficult to fully cure under standard operating conditions are selected, usually the corners of the film edge or the boundary of the spray coating, and these are set as the curing measurement areas.

[0216] In this embodiment, the curing measurement area is set to 5% of the coating area. Areas with significant thickness fluctuations or sudden changes in flow rate are preferentially selected, and the shape of the area is ensured to be a regular rectangle or ellipse to facilitate subsequent mechanical measurements. The geometric center point is extracted from the curing measurement area as the curing measurement point. A micro-reaction force measuring needle is used to make perpendicular contact with the point, and the reaction force value during the contact process is recorded.

[0217] The measurement adopts the elastic contact measurement mode, and records the maximum reaction force peak value per unit time as the curing degree index; the peak value is compared with the preset standard reaction force threshold.

[0218] In this embodiment, the standard reaction force threshold is set to 0.045N, which ensures that the film surface reaches a flexible curing degree suitable for recoating.

[0219] If the actual measured reaction force is less than the standard reaction force threshold, it indicates that the material is not cured and meets the curing requirements for recoating. In this case, the recoating operation can be performed.

[0220] If the actual reaction force is greater than or equal to the standard reaction force threshold, it indicates that the film layer has been partially or completely cured and can no longer be effectively fused and sprayed. It is not appropriate to take recoating remedial measures.

[0221] If it has not cured, obtain the coating liquid ratio and material batch number, and retrieve the recommended ratio correction factor, main agent increment coefficient α, corresponding to the matching combination from the historical database. B Compensation coefficient β with curing agent B ;

[0222] Multiply the amount of main agent by the main agent increment coefficient to obtain the main agent increment, and multiply the amount of curing agent by the curing agent compensation coefficient to obtain the curing agent compensation amount, so as to adjust the coating liquid ratio.

[0223] This step ensures that remedial measures are triggered only when reversible defects exist in the film layer, reducing the scrap rate. By automatically identifying, classifying, and comparing the number of impurity particles in the image, and combining classification thresholds and total quantity thresholds for accurate judgment, it enables rapid identification and processing of abnormal areas. At the same time, based on the curing state judgment mechanism of curing area selection and micro-force testing, it ensures that recoating is only performed on areas that have not been fully cured, thereby avoiding interlayer delamination and optical distortion problems.

[0224] Specifically, adjusting coating quality detection parameters based on different types of abnormal quality includes:

[0225] The scanned image of the hologram to be detected within the target hologram coating area after photoreaction processing is obtained. The scanned image of the hologram to be detected is divided into several regions of preset size as several gray blocks to be detected. The scanned image of the hologram to be detected is then analyzed to obtain the image grayscale.

[0226] The image grayscale is compared and judged using standard grayscale values ​​to obtain the judgment results of normal grayscale and abnormal grayscale.

[0227] If the grayscale is normal, obtain the outline of the hologram to be detected in the scanned image of the hologram to be detected, and determine whether the similarity of the outline of the hologram to be detected meets the preset similarity standard.

[0228] If the similarity preset standard is met, the quality of the hologram to be detected meets the production requirements;

[0229] If the similarity preset standard is not met, the quality of the hologram to be detected does not meet the production requirements, and the preset coating liquid spraying amount is reduced; if it is a gray-scale anomaly judgment result, the gray-scale anomaly area in each gray area block and the total gray-scale anomaly area of ​​the scanned image of the hologram to be detected are obtained, and compared with the local anomaly threshold and the overall anomaly threshold respectively.

[0230] If the grayscale anomaly is locally distributed, residual impurities will affect holographic imaging. Adjust the standard impurity quantity threshold.

[0231] If the grayscale anomaly is distributed throughout the entire image, the entire region of the holographic scan image to be detected is determined to be the solidified region, and the standard reaction force threshold in the solidification detection is adjusted.

[0232] In this embodiment, an image region division method based on grid block division is adopted to divide the holographic scan image to be detected into several gray area blocks of equal size, each block being 50 pixels × 50 pixels. This size can control the amount of computation while ensuring local recognition accuracy, which is suitable for the processing needs of images captured by high-resolution industrial cameras.

[0233] The image grayscale is processed using a linear grayscale normalization algorithm to standardize the grayscale range to 0–255.

[0234] The standard grayscale range is set to 180-230. This range is based on a large number of qualified hologram samples and can effectively reflect the brightness and clarity of the image after the light reaction.

[0235] Compare the grayscale value with the standard grayscale range.

[0236] If the grayscale value is within the standard grayscale range, then the grayscale is judged to be normal.

[0237] If the grayscale value is not within the standard grayscale range, a grayscale anomaly judgment result is obtained;

[0238] In this embodiment, the steps for determining whether the contour similarity of the hologram to be detected meets the preset similarity standard are as follows:

[0239] A contour extraction method based on Canny edge detection and morphological closing operation is adopted: the Canny algorithm captures strong gradient edges in the image and extracts the preliminary contour of the image;

[0240] Further morphological operations involving expansion are used to remove small impurities and form the main contour area;

[0241] The contour fitting algorithm is used to convert the edges into comparable geometric contour maps, and the similarity is determined by the Hu invariant moment + contour Hausdorff distance joint matching method.

[0242] Hu moments reflect the shape characteristics of the contour and are invariant to image rotation and scaling.

[0243] Hausdorff distance measures the maximum deviation between two sets of contour points and is used to determine contour matching error.

[0244] The similarity preset criteria include Hu moment matching error and Hausdorff distance;

[0245] The contour similarity is considered to be up to standard only when the Hu moment matching error is less than 0.05 and the Hausdorff distance is less than 5 pixels.

[0246] In this embodiment, the local anomaly threshold is 60% of the abnormal area of ​​a single gray area block; the overall anomaly threshold is 25% of the total image area.

[0247] This embodiment achieves accurate identification of holographic image quality through gridded segmentation and grayscale normalization comparison, effectively distinguishing between local impurities and overall solidification issues. Combining the contour similarity judgment method based on Hu moments and Hausdorff distance enhances the ability to identify image contour integrity and imaging accuracy. This strategy improves the detection system's tolerance and adjustment capabilities for imaging defects.

[0248] See Figure 4 The diagram shows a schematic representation of the thin-film hologram generation device according to an embodiment of the present invention. The present invention also provides a thin-film hologram generation device applied to the above-described thin-film hologram generation method, comprising: a conveying mechanism 1, a corona treatment mechanism 2, a pre-shearing mechanism 3, a coating liquid spraying mechanism 4, a coating liquid spreading mechanism 5, a coating liquid quantitative scraping mechanism 6, a first visual scanning mechanism 7, a weight detection mechanism 8, an impurity detection mechanism 9, a curing detection mechanism 10, a photoreaction mechanism 11, a second visual scanning mechanism 12, a secondary processing mechanism 13, and a control mechanism (not shown in the diagram).

[0249] The conveying mechanism 1 is used to drive the film to move along a specified path, so that it passes through each processing station in sequence;

[0250] Corona treatment unit 2, which is used to perform corona treatment on the film conveyed by the conveying mechanism;

[0251] The pre-shearing mechanism 3 is connected to the corona treatment mechanism. It is used to obtain a film that has been corona treated and meets the pre-shearing standard, and to cut the film.

[0252] The coating liquid spraying mechanism 4 is connected to the front shearing mechanism. It is used to obtain a film and spray the coating liquid evenly onto the film surface according to the preset coating liquid spraying amount.

[0253] The coating liquid spreading mechanism 5 is connected to the coating liquid spraying mechanism. It is used to spread the sprayed coating liquid so that it evenly covers the film surface to obtain a coating layer.

[0254] The coating liquid metering scraping mechanism 6 is connected to the coating liquid metering scraping mechanism. It is used to obtain the coating layer and scrape the coating layer with a preset scraping gap to form a coated film.

[0255] The first visual scanning mechanism 7 is connected to the coating liquid metering scraping mechanism and is used to scan the coated film to obtain scanned images and side scanned images.

[0256] The weight detection mechanism 8 is connected to the coating liquid quantitative scraping mechanism and is used to detect the weight of the film and coating liquid in a specific area.

[0257] Impurity detection unit 9 is used to determine the quantity and location of impurities in the image;

[0258] Curing testing unit 10 is used to test the degree of curing of the coating liquid;

[0259] The photo-reaction mechanism 11 is connected to the first visual scanning mechanism and the curing detection mechanism. It is used to emit a light source of a specific wavelength to irradiate the coating area so that the thin film pattern is formed.

[0260] The second visual scanning mechanism 12 is used to acquire a scanned image of the hologram to be detected;

[0261] The secondary processing unit 13 is used for drying, water-cooled curing, inline exposure operation, and UI lamp secondary curing.

[0262] A control mechanism is connected to the conveying mechanism 1, the corona treatment mechanism 2, the pre-shearing mechanism 3, the coating liquid spraying mechanism 4, the coating liquid spreading mechanism 5, the coating liquid metering scraping mechanism 6, the first visual scanning mechanism 7, the weight detection mechanism 8, the impurity detection mechanism 9, the curing detection mechanism 10, the photoreaction mechanism 11, the second visual scanning mechanism 12, and the secondary processing mechanism 13, respectively, and is used to control the working process of each mechanism.

[0263] In this embodiment, the specific area detected by the weight detection mechanism is the coating area of ​​the target hologram corresponding to the coating area number of each target hologram.

[0264] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0265] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method of thin-film hologram generation, characterized by, comprising, The film is pretreated, including film corona treatment, determining whether to perform pre-shearing process treatment, and pre-shearing process treatment; The pretreated film is executed with standard coating operation with preset coating liquid spraying amount and standard coating operation process; The standard coating operation includes coating liquid spraying, coating liquid spreading, and coating liquid quantitative scraping; The scanning image of the coated film is obtained, and the coating continuity category is determined through coating continuity evaluation; The coating continuity category includes the whole coating continuity category and the local non-continuity category of the coating liquid; If the coating continuity category is the whole coating continuity category, thickness detection is performed, and it is judged whether to take re-coating remedial measures based on the thickness detection result, and the corresponding re-coating frequency is limited when re-coating remedial measures are taken; If the coating continuity category is the local non-continuity category, coating film quality ratio analysis is performed, including coating liquid retention quality analysis and coating liquid ratio analysis; If the first retention quality result obtained by the coating liquid retention quality analysis is greater than or equal to the standard retention quality, and the second coating liquid density obtained by the coating liquid ratio analysis is greater than the standard density threshold, the re-coating trigger judgment step is executed, including impurity quantity detection and solidification degree judgment; If the first impurity detection result is obtained through the impurity quantity detection and the solidification degree judgment is in the un-solidified state, re-coating remedial measures are taken and photo-reaction treatment is performed; The quality of the hologram after photo-reaction is inspected, and the coating quality detection parameters are adjusted based on different abnormal quality types.

2. The thin-film hologram generation method according to claim 1, characterized by, Determining whether to perform pre-shearing process treatment includes: Obtaining the film thickness value and the parameter information of the target hologram, including the size value of the target hologram and the image information of the target hologram; Obtaining the comparison result of the film thickness value and the standard thickness threshold, and judging whether to perform pre-shearing process treatment based on the comparison result; The film thickness value is compared with the standard thickness threshold, If the film thickness value is less than the standard thickness threshold, the shearing number obtaining step is executed, the film is sheared with the standard shearing area, and the film is pre-sheared; If the film thickness value is greater than or equal to the standard thickness threshold, the shearing number is obtained based on the shearing number obtaining step, the film is not pre-sheared, and the subsequent standard coating operation is executed; The shearing number obtaining step is to determine the coating area of the target hologram based on the size value of the target hologram and the size ratio factor, to determine the shearing area of the film, and the standard shearing size value corresponding to the shearing area, and to obtain the standard shearing area and the shearing number corresponding to the standard shearing size value.

3. The thin-film hologram generation method according to claim 2, characterized by, The coating film quality ratio analysis includes, The coating liquid retention quality in the coating area of any target hologram is obtained, and it is compared with the standard retention quality, which is the theoretical quality of the coating liquid retention on the film under each standard operation; If the coating liquid retention quality is less than the standard retention quality, a second retention quality result is obtained, the preset coating liquid spraying amount is increased, a re-coating remedial measure is performed, and a light reaction treatment is performed after the re-coating remedial measure; If the coating liquid retention quality is greater than or equal to the standard retention quality, a first retention quality result is obtained, and a coating liquid proportioning analysis is performed; The coating liquid proportioning analysis process includes obtaining an initial coating liquid proportioning and a real-time flow rate of the coating liquid in a coating area of the hologram; based on a density empirical conversion formula, a real-time density of the coating liquid corresponding to the real-time flow rate is obtained; the real-time density of the coating liquid is compared with a standard density threshold corresponding to the initial coating liquid proportioning; If the real-time density of the coating liquid is less than or equal to the standard density threshold, a first coating liquid density is obtained, it is determined that the real-time density of the coating liquid is normal, the scraping gap in the coating liquid quantitative scraping step is reduced, the re-coating remedial measure is performed, and a light reaction treatment is performed after the re-coating remedial measure; If the real-time density of the coating liquid is greater than the standard density threshold, a second coating liquid density is obtained, it is determined that the real-time density of the coating liquid is abnormal, and a re-coating triggering judgment step is performed.

4. The thin-film hologram generating method according to claim 3, characterized by The coating continuity evaluation process includes obtaining a scanning image of the coated film, including a coating surface scanning image and a side surface scanning image; obtaining a coating area number of each hologram, and updating a shearing number obtained by shearing processing to a coating area number corresponding to each hologram; obtaining a closed contour image of the coating liquid in the coating surface scanning image in any coating area and an internal area of the closed contour, calculating an area error normalization index, and comparing the area error normalization index with a standard area error, if the area error normalization index is less than the standard area error, further obtaining a first average thickness of the coating area of the hologram, and performing thickness detection on the first average thickness to determine whether the liquid film of the coating liquid exists; if the area error normalization index is greater than or equal to the standard area error, the liquid film of the coating liquid is broken, and the coating liquid continuity category is a local discontinuity category of the coating liquid; wherein the area error normalization index is a ratio of an absolute value of a difference between an internal area of a closed contour and an area of a coating area of the hologram to the area of the coating area of the hologram.

5. The thin-film hologram generation method according to claim 3, characterized by, The thickness detection includes comparing the first average thickness value with a standard coating liquid thickness threshold, if the first average thickness value is greater than or equal to the standard coating liquid thickness threshold, a light reaction treatment is performed; if the first average thickness value is less than the standard coating liquid thickness threshold and is not zero, the scraping speed in the coating liquid quantitative scraping step is reduced, the re-coating remedial measure is performed, and the re-coating is limited to two times or less; if the first average thickness value is less than the standard coating liquid thickness threshold and is zero, the coating liquid spraying equipment fails, the re-coating remedial measure is performed, and the re-coating is limited to three times or less.

6. The thin film hologram generation method of claim 1, wherein the impurity quantity detection process includes obtaining the number of impurity particles in the coating liquid in the coating surface and side surface scanning images, and comparing the number of impurity particles with a standard impurity quantity threshold; If the number of impurity particles is greater than or equal to the standard impurity number threshold, a first impurity detection result is obtained, and the impurity number is re-detected after the impurity elimination measure is performed until the impurity number is less than the standard impurity number threshold; If the number of impurity particles is less than the standard impurity number threshold, a second impurity detection result is obtained, and the solidification degree judgment is continued to determine whether it meets the re-coating standard; Wherein, the impurity number re-detection is to re-perform the impurity number detection; The process of solidification degree judgment is to perform solidification detection on the coating liquid in the coating area of any target hologram to obtain a solid state detection result; If it is a solidified state, adjust the environmental light intensity, obtain the number of the coating area of the target hologram and mark the area as a non-recoating area, and perform light reaction treatment; If it is an un-solidified state, obtain the matching ratio adjustment factor corresponding to the current coating liquid matching ratio, adjust the matching ratio parameters of the coating liquid according to the factor, and perform light reaction treatment after the re-coating remedial measure is performed with the current coating liquid matching ratio; Perform hologram image inspection on the coating area of the target hologram after light reaction treatment to perform quality inspection on the hologram after light reaction.

7. The thin-film hologram generation method according to claim 6, characterized by, Adjusting the coating quality detection parameters based on different abnormal quality types includes, Obtain the scanning image of the hologram to be detected in the coating area of the target hologram after light reaction treatment, divide the scanning image of the hologram to be detected into a plurality of regions of a predetermined size as a plurality of gray domain blocks to be detected, and analyze the scanning image of the hologram to be detected to obtain the image gray scale; Compare the image gray scale with the standard gray scale to obtain a gray scale normal judgment result and a gray scale abnormal judgment result; If the gray scale normal judgment result is obtained, obtain the hologram contour to be detected in the scanning image of the hologram to be detected, and determine whether the hologram contour to be detected meets the similarity preset standard; If the similarity preset standard is met, the quality of the hologram to be detected meets the production requirements; If the similarity preset standard is not met, the quality of the hologram to be detected does not meet the production requirements, and the preset coating liquid spraying amount is reduced; If the gray scale abnormal judgment result is obtained, obtain the gray scale abnormal area in each gray domain block and the total gray scale abnormal area of the scanning image of the hologram to be detected, and compare them with the local abnormal threshold and the overall abnormal threshold respectively; If the gray scale abnormality is locally distributed, the residual impurities affect the hologram imaging, and the standard impurity number threshold is reduced; If the gray scale abnormality is overall distributed, determine that the overall area of the scanning image of the hologram to be detected is a solidification area, and adjust the standard reaction force threshold in the solidification detection.

8. A thin-film hologram generating apparatus applied to the thin-film hologram generating method according to any one of claims 1 to 7, characterized by, It includes, A conveying mechanism is used to drive the film to move along a specified path so that it passes through each processing station in turn; A corona treatment mechanism is used to perform corona treatment on the film conveyed by the conveying mechanism; A pre-cutting mechanism is connected to the corona treatment mechanism and is used to obtain the film after corona treatment and in accordance with the pre-cutting standard, and cut the film; A coating liquid spraying mechanism is connected to the pre-cutting mechanism and is used to obtain the film and uniformly spray the coating liquid on the surface of the film according to the preset coating liquid spraying amount; A coating liquid spreading mechanism connected to the coating liquid spraying mechanism, which spreads the sprayed coating liquid to uniformly cover the surface of the film and obtain a coating layer; A coating liquid quantitative scraping mechanism connected to the coating liquid quantitative scraping mechanism, which obtains the coating layer and scrapes the coating layer with a preset scraping gap to form a coated film; A first visual scanning mechanism connected to the coating liquid quantitative scraping mechanism, which scans the coated film to obtain a scanning image and a side scanning image; A weight detection mechanism connected to the coating liquid quantitative scraping mechanism, which detects the weight of the film and the coating liquid in a specific area; An impurity detection mechanism, which determines the number and position of impurities in the image; A curing detection mechanism, which detects the curing degree of the coating liquid; A light reaction mechanism connected to the first visual scanning mechanism and the curing detection mechanism, which emits a specific waveband light source to irradiate the coating area to form a film pattern; A second visual scanning mechanism, which obtains a scanning image of a hologram to be detected; A secondary processing mechanism, which performs drying treatment, water-cooled curing, online exposure operation, and UI lamp secondary curing; A control mechanism connected to the conveying mechanism, the corona treatment mechanism, the front shearing mechanism, the coating liquid spraying mechanism, the coating liquid spreading mechanism, the coating liquid quantitative scraping mechanism, the first visual scanning mechanism, the weight detection mechanism, the impurity detection mechanism, the curing detection mechanism, the light reaction mechanism, the second visual scanning mechanism, and the secondary processing mechanism, which controls the working process of each mechanism.

Images