Method and device for determining UV blocking efficacy

Abstract

According to various embodiments, a server for determining UV blocking efficacy of a product to be tested comprises at least one processor, wherein the at least one processor can perform: an operation for determining, as a first reference amount of light, the amount of UV light to be emitted to a first unapplied sheet that is not applied with the product to be tested; an operation for controlling a UV emission device so that the UV light is emitted to the first unapplied sheet in the first reference amount of light; an operation for acquiring a first non-applied image obtained by imaging the first unapplied sheet; and an operation for determining appropriateness of the first reference amount of light on the basis of the first non-applied image.

Description

Method and apparatus for determining ultraviolet protection efficacy

[0001] The present invention relates to a method and apparatus for determining ultraviolet protection efficacy, and more specifically, to a method and apparatus for determining the sun protection factor (SPF) and ultraviolet A protection rating (PA) of cosmetics based on AI.

[0002] Unless otherwise indicated in this specification, the contents described in this section are not prior art for the claims of this application, and are not to be recognized as prior art simply because they are included in this section.

[0003] The sun emits light energy with a wide range of wavelengths, including infrared, visible light, and ultraviolet rays. Ultraviolet rays (UV) have shorter wavelengths than the blue or violet rays of visible light; they are effective in preventing rickets by converting vitamin D precursors into vitamin D and are usefully applied in various fields such as UV sterilization, UV curing, counterfeit detection, and protein analysis.

[0004] However, as ultraviolet (UV) radiation has been identified as one of the major causes of skin aging and disease, the damage caused by UV rays has become recognized. Furthermore, as the health effects of increased UV radiation resulting from ozone layer depletion are already being observed, greater caution is required. Cosmetics used for UV protection aim to block UV rays under sunlight. Since these cosmetics possess varying levels of UV protection, methods are being devised to accurately measure them.

[0005] However, when the above measurement process is performed manually by humans, the results may vary depending on the institution evaluating the UV protection efficacy. For example, regarding the Sun Protection Factor (SPF), the minimum erythema dose (MED) and regarding the UVA protection rating (PA), the minimal persistent pigment darkening dose (MPPD) are determined manually by humans; however, inconsistent and non-objective judgments affect the procedure for evaluating the performance of functional cosmetics. In other words, there is a problem in that objective performance evaluation is difficult because the evaluation procedure consists of elements that are difficult for a skilled person to judge as quantitative values ​​under sufficiently bright light sources.

[0006] The objective of the present invention to solve the above-mentioned problems is to provide objectivity in functional evaluation by determining UV blocking efficacy based on AI.

[0007] According to various embodiments, a server for determining the UV blocking efficacy of a product under test includes at least one processor, and the at least one processor may perform the operation of determining a first reference amount of UV light to be irradiated onto a first uncoated sheet on which the product under test is not coated; the operation of controlling a UV irradiation device to irradiate the UV light onto the first uncoated sheet with the first reference amount of UV light; the operation of acquiring a first uncoated image of the first uncoated sheet; and the operation of determining the appropriateness of the first reference amount of UV light based on the first uncoated image.

[0008] According to various embodiments, the at least one processor, in determining the first reference light amount, determines a first increased light amount, a second increased light amount, a third increased light amount, a first decreased light amount, and a second decreased light amount based on the first reference light amount, wherein the first decreased light amount is a light amount increased by a preset ratio compared to the second decreased light amount, the first reference light amount is a light amount increased by the preset ratio compared to the first decreased light amount, the first increased light amount is a light amount increased by the preset ratio compared to the first reference light amount, the second increased light amount is a light amount increased by the preset ratio compared to the first increased light amount, and the third increased light amount is a light amount increased by the preset ratio compared to the second increased light amount.

[0009] According to various embodiments, the at least one processor may irradiate UV light based on the first reference light amount through the UV irradiation device onto the first uncoated sheet, wherein at a first time point, a first area of ​​the first uncoated sheet is irradiated with the second reduced light amount, a second area of ​​the first uncoated sheet is irradiated with the first reduced light amount, a third area of ​​the first uncoated sheet is irradiated with the first reference light amount, a fourth area of ​​the first uncoated sheet is irradiated with the first increased light amount, a fifth area of ​​the first uncoated sheet is irradiated with the second increased light amount, and a sixth area of ​​the first uncoated sheet is irradiated with the third increased light amount.

[0010] The above at least one processor can acquire the first non-coated image of the first non-coated sheet at a second time point, which is a time point after a preset time after the first time point, determine the UV reactivity based on the pixel values ​​of pixels included in each of the first to sixth regions and the degree of distribution of pixels having pixel values ​​greater than or equal to a preset threshold, determine at least one region among the first to sixth regions in which the UV reactivity is within the threshold reactivity range, and determine whether the at least one region of the first non-coated image corresponds to a preset region to determine the appropriateness of the first reference light amount.

[0011] According to various embodiments, the at least one processor may, when the first reference light amount is determined to be appropriate, irradiate UV light based on the first reference light amount through the UV irradiation device onto a test product coating sheet coated with the test product, acquire a test product coating image taken of the test product coating sheet, determine the UV reactivity for each of the first to sixth regions of the test product coating image, determine at least one region among the first to sixth regions of the test product coating image in which the UV reactivity is within a critical reactivity range, and determine that the UV blocking efficacy of the test product is appropriate if the at least one region of the test product coating image corresponds to a predetermined region.

[0012] According to the various embodiments disclosed in this document, objectivity can be provided in determining the UV blocking efficacy of a product under test.

[0013] In addition, various effects that can be identified directly or indirectly through this document may be provided.

[0014] FIG. 1 is a diagram illustrating a system for determining ultraviolet blocking efficacy according to one embodiment.

[0015] Figure 2 is a flowchart regarding the method for determining functional cosmetics regarding the sun protection factor (SPF) and UVA protection rating (PA).

[0016] Figure 3 is a flowchart regarding the method for determining functional cosmetics regarding the sun protection factor (SPF) and UVA protection rating (PA).

[0017] Figure 4 is a diagram regarding the derivation of regression values ​​through a UV blocking efficacy judgment model.

[0018] Figure 5 is a diagram showing the hardware configuration of the UV blocking efficacy judgment server according to Figure 1.

[0019]

[0020] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0021] Terms such as first, second, A, B, etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0022] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0023] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0024] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0025] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

[0026] FIG. 1 is a drawing illustrating a UV blocking efficacy determination system (10) in one embodiment. Referring to FIG. 1, the UV blocking efficacy determination system (10) may include a UV blocking efficacy determination server (100), a UV irradiation imaging device (or, a UV irradiation device), a database, etc.

[0027] The UV protection efficacy determination server (100) may be a type of device in which operations to determine the suitability of the UV protection index of a product under test are performed, and the suitability of the UV protection index of a product under test may be determined based on the acquired image by obtaining a sheet (e.g., skin) irradiated by a UV irradiation imaging device linked to the UV protection efficacy determination server (100) or an image captured by a UV irradiation imaging device (obtained through a UV irradiation imaging device). The database may store multiple images of unapplied and applied products.

[0028] The sun protection factor can be either SPF (Sun Protection Factor) or PFA / PA (Protection Factor of UVA / Protection Factor for UVA). SPF can be determined as the ratio of the minimum erythema dose in protected skin (MEDp) to which the product (e.g., a product containing sunscreen) is applied and the minimum erythema dose in unprotected skin (MEDu) to which the product (e.g., a product containing sunscreen) is not applied, and SPF can be determined through the following mathematical formula 1.

[0029]

[0030] The minimum erythema dose may refer to the minimum amount of light at which erythema occurs. The amount of light can be determined by 'light intensity x light irradiation time'. For example, if the minimum erythema dose with the product applied is 10 times higher than with the product not applied, the SPF may be 10.

[0031] PA can be determined as the ratio of the Minimal Persistent Pigment Darkening Dose (MPPDp) of skin to which a product (e.g., a product containing sunscreen) has been applied to and the Minimal Persistent Pigment Darkening Dose (MPPDp) of skin not to which a product (e.g., a product containing sunscreen) has been applied, and PA can be determined through the following mathematical formula 2.

[0032]

[0033] The UV blocking efficacy determination server (100) may include or be configured by at least one of a communicable desktop computer, laptop computer, notebook, smartphone, tablet PC, mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, and PDA (Personal Digital Assistant).

[0034] The UV blocking efficacy judgment server (100), UV irradiation imaging device, and database are each connected to a communication network and can transmit and receive data to and from each other through the communication network. For example, communication networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed ​​Downlink Packet Access (HSDPA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), 5G, etc. Various types of wired or wireless networks can be used.

[0035] FIGS. 2 and 3 are flowcharts regarding a method for determining functional cosmetics regarding the sun protection factor (SPF) and the UV-A protection rating (PA). In the case of a method for determining functional cosmetics regarding the UV-A protection rating (PA), the following operations S211 and S221 may be omitted.

[0036] A processor (110) can determine the amount of UV light to be irradiated onto a first unapplied sheet (e.g., skin) on which a product (e.g., cosmetic) is not applied as a first reference amount of light (S110). Based on the first reference amount of light, the processor (110) can determine a first increased amount of light, a second increased amount of light, a third increased amount of light, a first decreased amount of light, and a second decreased amount of light. The first decreased amount of light is a light amount increased by a preset ratio (e.g., 15%, hereinafter described as 15% for convenience) compared to the second decreased amount of light, the first reference amount of light is a light amount increased by 15% compared to the first decreased amount of light, the first increased amount of light is a light amount increased by 15% compared to the first reference amount of light, the second increased amount of light is a light amount increased by 15% compared to the first increased amount of light, and the third increased amount of light is a light amount increased by 15% compared to the second increased amount of light. For example, if the first reference light quantity is X, the second reduced light quantity, the first reduced light quantity, the first reference light quantity, the first increased light quantity, the second increased light quantity, and the third increased light quantity may be 0.76X, 0.87X, 1.00X, 1.15X, 1.32X, and 1.52X, respectively, in that order.

[0037] The processor (110) can irradiate UV light based on the first reference amount of light onto the first uncoated sheet through a UV irradiation imaging device (S120). Specifically, the processor (110) can irradiate a first area (or, referred to as the first port) of the first uncoated sheet, which is not coated with a product at a first time point, with the second reduced amount of light, irradiate a second area (or, referred to as the second port) with the first reduced amount of light, irradiate a third area (or, referred to as the third port) with the first reference amount of light, irradiate a fourth area (or, referred to as the fourth port) with the first increased amount of light, irradiate a fifth area (or, referred to as the fifth port) with the second increased amount of light, and irradiate a sixth area (or, referred to as the sixth port) with the third increased amount of light. The first to sixth areas may not overlap.

[0038] The processor (110) can photograph the first uncoated sheet irradiated with UV light and analyze the first uncoated image of the first uncoated sheet (S130). The processor (110) can acquire the first uncoated image of the first uncoated sheet at a second time point, which is a time point after a preset time after the first time point. The first uncoated image may be an RGB image composed of RGB (a combination of red pixels, green pixels, and blue pixels). The operation of photographing the sheet may be performed by an external shooting device, and the captured image may be acquired from the external shooting device.

[0039] The processor (110) can determine the UV reactivity of each of the first to sixth regions within the first uncoated image. The processor (110) can determine the degree of change of each of the first to sixth regions within the first uncoated image, calculate the degree of change of pixel values ​​by comparing with a seventh region excluding the first to sixth regions, and determine the UV reactivity of each of the first to sixth regions based on the calculated degree of change of pixel values.

[0040] The processor (110) can calculate the degree of color change of each of the first to sixth regions within the first uncoated image. The processor (110) can determine the UV reactivity based on the pixel values ​​of the pixels included in each of the first to sixth regions, the degree of distribution of pixels having pixel values ​​greater than or equal to a preset threshold, etc. The UV reactivity can be determined to be higher as the pixel values ​​(e.g., RED pixel values) of the pixels included in each of the first to sixth regions are higher. If the distribution of pixels having pixel values ​​greater than or equal to a preset threshold (e.g., RED pixel values) is a clustered distribution with little deviation, the UV reactivity can be determined to be high, and if the distribution is a spread with a large deviation, the UV reactivity can be determined to be low. The processor (110) can apply a first weight to the pixel values ​​of the pixels included in each of the first to sixth regions, and apply a second weight greater than the first weight to the degree of distribution of pixels having pixel values ​​greater than or equal to a preset threshold (e.g., RED pixel values). The above UV reactivity can be determined by the UV blocking efficacy judgment model (M100) described below.

[0041] The processor (110) can determine at least one region among the first to sixth regions in which the UV reactivity is within the threshold reactivity range. The processor (110) can determine whether the determined at least one region corresponds to a pre-specified region (e.g., fourth region) (S140).

[0042] If the at least one area does not correspond to a pre-specified area (e.g., a fourth area), the processor (110) may change the amount of UV light to a second reference amount. The processor (110) may increase or decrease the amount of UV light so that the at least one area corresponds to a pre-specified area (e.g., a fourth area). The processor (110) may repeat S110, S120, S130, and S140 based on the changed second reference amount. If the condition of S140 is satisfied through repetition, the second reference amount may be determined as the final reference amount (S150). If the at least one area corresponds to a pre-specified area (e.g., a fourth area), the processor (110) may determine the first reference amount as the final reference amount (S150).

[0043] The processor (110) may determine a first increased final light amount, a second increased final light amount, a third increased light amount, a first decreased final light amount, and a second decreased final light amount based on a determined final standard. The first decreased final light amount is a light amount increased by 15% compared to the second decreased final light amount, the first standard final light amount is a light amount increased by 15% compared to the first decreased final light amount, the first increased final light amount is a light amount increased by 15% compared to the final light amount, the second increased final light amount is a light amount increased by 15% compared to the first increased final light amount, and the third increased final light amount is a light amount increased by 15% compared to the second increased final light amount. For example, if the above final light quantity is X, the second reduced final light quantity, the first reduced final light quantity, the first reference final light quantity, the first increased final light quantity, the second increased final light quantity, and the third increased final light quantity may be 0.76X, 0.87X, 1.00X, 1.15X, 1.32X, and 1.52X, respectively, in that order.

[0044] After determining the final reference light amount, the processor (110) can irradiate UV light based on the final reference light amount to each of the second uncoated sheet (e.g., skin) on which the product is not coated, the standard product coated sheet (or referred to as the standard sheet) on which the standard sample is coated (e.g., skin), and the test product coated sheet (or referred to as the test product sheet) on which the test product is coated (e.g., skin) (S211, S213, S215). At a third time, the processor (110) may irradiate the first area (or, referred to as the first port) of each of the second uncoated sheet, standard sheet, and test product sheet with the second reduced final light amount, irradiate the second area (or, referred to as the second port) of each of the second uncoated sheet, standard sheet, and test product sheet with the first reduced final light amount, irradiate the third area (or, referred to as the third port) of each of the second uncoated sheet, standard sheet, and test product sheet with the final light amount, irradiate the fourth area (or, referred to as the fourth port) of each of the second uncoated sheet, standard sheet, and test product sheet with the first increased final light amount, irradiate the fifth area (or, referred to as the fifth port) of each of the second uncoated sheet, standard sheet, and test product sheet with the second increased final light amount, and irradiate the sixth area (or, referred to as the sixth port) of each of the second uncoated sheet, standard sheet, and test product sheet with the third increased final light amount. The above first to sixth regions may not overlap.

[0045] The processor (110) can acquire a second non-coated image by photographing the second non-coated sheet at a fourth time point, which is a time point after a preset time after the third time point, and determine the UV reactivity of each of the first to sixth regions of the second non-coated image within the second non-coated image (S221). The processor (110) performs S140 on the second non-coated image, and if the condition is not satisfied, it can determine that the process is unsuitable (S240).

[0046] The processor (110) performs the above S140 on the second non-coated image, and if the condition is satisfied, acquires a standard sample coated image in which the standard sheet is photographed at the fourth time point, and can determine the UV reactivity of each of the first to sixth regions of the standard sample coated image within the standard sample coated image (S223). The processor (110) performs the above S140 on the standard sample coated image, and if the condition is not satisfied, can determine that it is unsuitable for proceeding (S240).

[0047] The processor (110) performs the above S140 on a standard sample coating image, and if the condition is satisfied, acquires a test product coating image taken of the standard sheet at the fourth time point and determines the UV reactivity of each of the first to sixth regions of the test product coating image within the test product coating image (S225). The processor (110) performs the above S140 on a test product coating image, and if the condition is not satisfied, determines that the test product is non-conforming (S240).

[0048] The processor (110) performs the above S140 on the image of the test product applied, and if the conditions are satisfied, can make a determination that the test product has suitable UV blocking efficacy (S230).

[0049] Figure 4 is a diagram regarding the derivation of regression values ​​through a UV blocking efficacy judgment model.

[0050] When the processor (110) acquires an input image (e.g., a first non-coated image, a second non-coated image, a standard sample coated image and / or a test product coated image), it may perform preprocessing on the input image. The preprocessing process may include color correction, histogram equalization, edge enhancement, and dead pixel correction.

[0051] The processor (110) can train a UV protection efficacy judgment model (M100) using training data. The UV protection efficacy judgment model (M100) can operate based on a clustering model (M110) based on a K-means algorithm and / or a UV response extraction model (M120).

[0052] The clustering model (M110) can perform clustering according to the K-means algorithm. Specifically, the K-means algorithm sets a vector value corresponding to the initial centroid for each of the K clusters, and then assigns the pixels to the clusters with the initial centroids that are close to each pixel having a pixel value greater than or equal to a preset threshold.

[0053] Next, when the cluster assignment for the above pixels is completed, the center point of each cluster is reset to the median or average value of the pixels belonging to that cluster, and the cluster assignment of the above pixels is performed again based on the reset center point. The median value and the average value, respectively, may refer to the median value and the average value of the pixel values.

[0054] The pixels can be assigned to clusters by repeating the center point reset and cluster reassignment described above until there is no change in the center point. The clusters may overlap with or correspond to at least one of the first to sixth regions described above.

[0055] The UV response extraction model (M120) can be supervised using training data, and the UV response extraction model can be implemented as an artificial neural network. Supervised learning refers to learning that finds the output value corresponding to a given input value by using data containing input and corresponding output values ​​as training data; it implies learning that takes place while the correct answer is known. The set of input and output values ​​provided in supervised learning is called training data, and an artificial neural network is a prediction model implemented in software or hardware that mimics the computational capabilities of biological systems by utilizing a large number of artificial neurons (or nodes).

[0056] The UV reactivity extraction model (M120) can be supervised learning by the UV blocking efficacy judgment model learning unit using 'image data for a sheet irradiated with UV light (e.g., unapplied image, standard sample applied image, and / or test product applied image)' and 'UV reactivity (or regression value)' corresponding to each cluster.

[0057] The processor (110) can input the input image, which has undergone a preprocessing process, as input data to a UV reactivity extraction model (M120) that has been supervised learning in advance. The processor (110) obtains a UV reactivity (or regression value) corresponding to each cluster output through the UV reactivity extraction model (M120), and based on the obtained UV reactivity, can determine whether at least one region among the first to sixth regions, in which the UV reactivity is within a threshold reactivity range, corresponds to a pre-specified region (e.g., the fourth region).

[0058] FIG. 5 is a diagram showing the hardware configuration of the UV blocking efficacy determination server (100) according to FIG. 1.

[0059] Referring to FIG. 5, the UV blocking efficacy determination server (100) may include at least one processor (110) and a memory that stores instructions that instruct the at least one processor (110) to perform at least one operation.

[0060] The above at least one operation may include at least some of the operations or functions of the aforementioned UV blocking efficacy determination server (100) and be implemented in the form of instructions and performed by the processor (110).

[0061] Here, at least one processor (110) may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. Each of the memory (120) and the storage device (160) may be composed of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory (120) may be one of read-only memory (ROM) and random access memory (RAM), and the storage device (160) may be a flash memory, a hard disk drive (HDD), a solid-state drive (SSD), or various memory cards (e.g., a micro SD card).

[0062] Additionally, the UV protection efficacy determination server (100) may include a transceiver (130) that performs communication via a wireless network. Additionally, the UV protection efficacy determination server (100) may further include an input interface device (140), an output interface device (150), a storage device (160), etc. Each component included in the UV protection efficacy determination server (100) may be connected by a bus (170) to communicate with one another. Although the UV protection efficacy determination server (100) is described as an example in FIG. 5, it is not limited thereto. For example, a plurality of user terminals may include components according to FIG. 5.

[0063] The methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the computer-readable medium may be those specifically designed and configured for the present invention, or they may be those known and available to those skilled in the art of computer software.

[0064] Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions may include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The aforementioned hardware devices may be configured to operate as at least one software module to perform the operation of the present invention, and vice versa.

[0065] In addition, the above-described method or device may be implemented by combining all or part of its configuration or function, or by implementing it separately.

[0066] Although the present invention has been described above with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as described in the following claims.

[0067] Explanation of the symbols

[0068] 100: UV Protection Efficacy Assessment Server

Claims

1. In a server for determining the UV protection efficacy of a product under test, At least one processor included in the above server is, The operation of determining the amount of UV light to be irradiated onto a first uncoated sheet, on which the above-mentioned test product is not coated, as a first reference amount of light; The operation of controlling a UV irradiation device to irradiate the UV light onto the first uncoated sheet with the above first reference amount of light; The operation of obtaining a first non-coated image by photographing the first non-coated sheet; and A server that performs an operation to determine the appropriateness of the first reference light amount based on the first uncoated image.

2. In Claim 1, The above at least one processor is, In determining the above first reference light amount, Based on the above first reference light quantity, a first increased light quantity, a second increased light quantity, a third increased light quantity, a first decreased light quantity, and a second decreased light quantity are determined, The first reduced light amount is a light amount increased by a preset ratio compared to the second reduced light amount, and The first reference light amount is a light amount increased by the preset ratio compared to the first reduced light amount, and The first increased light amount is a light amount increased by the preset ratio compared to the first reference light amount, and The second increased light amount is a light amount increased by the preset ratio compared to the first increased light amount, and The server, wherein the third increased light amount is a light amount increased by the preset ratio compared to the second increased light amount.

3. In Claim 2, The above at least one processor is, UV light based on the first reference amount of light is irradiated onto the first uncoated sheet through the above UV irradiation device, At the first time point, a first area of ​​the first uncoated sheet is irradiated with the second reduced light amount, and The second region of the first uncoated sheet is irradiated with the first reduced light amount, and The third region of the first uncoated sheet is irradiated with the first reference light intensity, and The fourth region of the first uncoated sheet is irradiated with the first increased light intensity, and The fifth region of the first uncoated sheet is irradiated with the second increased light intensity, and A server that irradiates the sixth area of ​​the first uncoated sheet with the third increased amount of light.

4. In Claim 1, The above at least one processor is, At a second time point, which is a time point after a preset time after the first time point, the first uncoated image is obtained by photographing the first uncoated sheet, and The UV reactivity is determined based on the pixel values ​​of pixels included in each of the first to sixth regions, and the degree of distribution of pixels having pixel values ​​greater than or equal to a preset threshold. Determining at least one region among the first to sixth regions in which the UV reactivity is within the critical reactivity range, A server that determines whether the at least one area of ​​the first non-coated image corresponds to a pre-specified area, thereby determining the appropriateness of the first reference light amount.

5. In Claim 4, The above at least one processor is, When the above first reference light amount is determined to be appropriate, UV light based on the above first reference light amount is irradiated through the above UV irradiation device onto a test product coating sheet coated with the above test product, and A test product coating image is obtained by photographing the above test product coating sheet, and Determining the UV reactivity for each of the first to sixth regions of the above test product coating image, and Determining at least one region among the first to sixth regions of the above test product coating image in which the UV reactivity is within the critical reactivity range, and A server that determines that the UV blocking efficacy of the test product is suitable when at least one area of ​​the above test product application image corresponds to a pre-specified area.

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