Accurate UV manicure curing method and system based on AI image recognition

Abstract

The invention relates to the field of image processing, and discloses a precise UV manicure curing method and system based on AI image recognition, and the method comprises the steps: calculating the irradiation uniformity of a UV lamp; adjusting an image acquisition parameter of an image acquisition module in the manicure curing system, and acquiring a manicure image for curing manicure in the manicure curing system; filtering the manicure image to obtain a filtered manicure image, defining a manicure area recognition algorithm of the filtered manicure image, and extracting a manicure smearing area image of the filtered manicure image; analyzing the curing state of the cured manicure through the trained AI manicure curing analysis model, establishing a state-UV lamp relation model of the cured manicure, and defining a UV lamp control algorithm of the cured manicure; a UV lamp control algorithm is utilized to analyze UV lamp irradiation optimization parameters of a UV lamp, to analyze solidification abnormity of solidified manicure, to analyze solidification self-adaptive parameters of a manicure solidification system, and to execute accurate solidification of the solidified manicure based on the solidification self-adaptive parameters. According to the invention, the curing effect of manicure curing can be improved.

Description

Technical Field

[0001] The present invention relates to a precise UV nail curing method and system based on AI image recognition, belonging to the field of image processing. Background Art

[0002] Precision UV nail curing refers to the process of using UV (ultraviolet) lamps to irradiate UV-curable nail polish applied on nails to achieve rapid curing. This process ensures that the nail polish is evenly and thoroughly cured by precisely controlling the intensity, time and angle of the UV lamp, thereby achieving the best nail effect.

[0003] Traditional precise UV nail curing methods usually rely on the manual operation and experience of the manicurist, who cures the nail polish by visual observation and preset UV lamp curing time. The curing effect of this method is greatly affected by the manicurist's personal skills and experience, and is prone to problems such as uneven curing or over-curing. There is a lack of real-time monitoring and adjustment of the curing process, which leads to obvious deficiencies in the accuracy, efficiency, personalized service and quality control of the nail curing process. Summary of the invention

[0004] The present invention provides a precise UV nail curing method and system based on AI image recognition, the main purpose of which is to improve the accuracy of security authentication while reducing the workload of path detection.

[0005] To achieve the above purpose, the present invention provides a precise UV nail curing method based on AI image recognition, comprising: Acquire nail curing areas and regional environmental characteristics in the nail curing system, extract UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters; When the illumination uniformity meets a preset illumination uniformity threshold, adjusting the image acquisition parameters of the image acquisition module in the nail curing system according to the regional environmental characteristics, and acquiring a nail image of the nail curing system based on the image acquisition parameters; Filtering the nail art image to obtain a filtered nail art image, defining a nail art region recognition algorithm for the filtered nail art image, and extracting a nail art smear region image of the filtered nail art image based on the nail art region recognition algorithm; According to the nail art painting area image, the curing state of the curing nail art is analyzed by a trained AI nail art curing analysis model, and a state-UV lamp relationship model of the curing nail art is established through the curing state, and a UV lamp control algorithm for the curing nail art is defined based on the state-UV lamp relationship model; According to the curing state, the UV lamp control algorithm is used to analyze the UV lamp irradiation optimization parameters of the UV lamp, and the continuous curing of the cured nail art is performed based on the UV lamp irradiation optimization parameters to obtain curing data. Based on the curing data, the curing abnormality of the cured nail art is analyzed, and through the curing abnormality, the curing adaptive parameters of the nail art curing system are analyzed, and the precise curing of the cured nail art is performed based on the curing adaptive parameters.

[0006] Optionally, calculating the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters includes: Determining the irradiation area of ​​the UV lamp according to the UV lamp irradiation parameters; Analyzing a UV lamp operating state of the UV lamp based on the UV lamp irradiation parameters; When the operating state of the UV lamp meets the preset operating state standard, the irradiation area is gridded to obtain a gridded irradiation area; Using a preset UV intensity meter to identify the UV intensity value of the regional grid corresponding to the gridded irradiation area; Based on the UV intensity value, the irradiation uniformity of the UV lamp is calculated.

[0007] Optionally, the calculating the irradiation uniformity of the UV lamp based on the UV intensity value includes: Calculating the average intensity of the UV lamp according to the UV intensity value; Calculate the standard deviation of the UV lamp by the average intensity; Based on the average intensity and the standard deviation, the irradiation uniformity of the UV lamp is calculated using the following formula: ; in, Indicates the uniformity of UV light irradiation. Indicates the average intensity of UV light, Indicates UV lamp UV intensity value of the area grid, represents the standard deviation, Indicates the number of regional grids.

[0008] Optionally, when the illumination uniformity meets a preset illumination uniformity threshold, adjusting the image acquisition parameters of the image acquisition module in the nail curing system according to the regional environmental characteristics includes: When the irradiation uniformity meets a preset irradiation uniformity threshold, determining the light characteristics, visual characteristics and environmental characteristics of the irradiation area corresponding to the nail curing system according to the regional environmental characteristics; Analyzing the light environment of the illumination area based on the light characteristics; Determining the regional surface color and regional surface texture of the irradiated area through the visual features; Analyzing the regional temperature and regional humidity of the irradiated area according to the environmental characteristics; Defining image acquisition requirements for the irradiation area; Identify current image acquisition parameters of the image acquisition module; Analyze the image acquisition loss of the current acquisition parameters of the image in combination with the light environment, the surface color of the area, the surface texture of the area, the temperature of the area, the humidity of the area, and the image acquisition requirements; Based on the image acquisition loss, image acquisition parameters of the image acquisition module are defined.

[0009] Optionally, extracting the nail art painted area image of the filtered nail art image based on the nail art area recognition algorithm includes: Gray-scale the filtered nail art image to obtain a gray-scale nail art image; Performing Gaussian blur on the grayscale nail art image to obtain a Gaussian blurred image; Marking the nail contour of the Gaussian blurred image using the nail region recognition algorithm; a maximum contour of a nail defining the contour of the nail; Establishing a contour mask of the maximum contour of the nail art, and extracting the nail art smear contour of the Gaussian blurred image based on the contour mask; Calculating a nail art completeness coefficient of the nail art smearing contour; When the nail art integrity coefficient meets a preset nail art integrity threshold, a nail art smearing area image of the filtered nail art image is extracted according to the nail art smearing contour.

[0010] Optionally, the step of marking the nail contour of the Gaussian blurred image by using the nail region recognition algorithm includes: Calculate the pixel gradient and pixel direction of the pixel point corresponding to the Gaussian blurred image; Determine a first adjacent pixel point and a second adjacent pixel point of the image pixel point according to the pixel direction; According to the first adjacent pixel point and the second adjacent pixel point, the suppression gradient of the image pixel point is calculated using the following formula: ; in, Represents image pixels The inhibition gradient, represents the first adjacent pixel, represents the second adjacent pixel, represents the pixel gradient of the first adjacent pixel, represents the pixel gradient of the second adjacent pixel, Represents image pixels The pixel gradient of Indicates and, To indicate otherwise; The nail contour of the Gaussian blurred image is determined according to the suppressed gradient.

[0011] Optionally, analyzing the curing state of the cured nail art by using a trained AI nail art curing analysis model according to the nail art application area image includes: According to the nail art application area image, the curing features of the cured nail art are extracted using the feature extraction layer in the AI ​​nail art curing analysis model; Using the feature pooling layer in the AI ​​nail art curing analysis model to extract physical signs of the curing features, obtaining target curing features; Based on the target curing feature, the probability analysis layer in the AI ​​nail art curing analysis model is used to analyze the curing state probability of the curing nail art; The curing state of the cured nail art is determined according to the curing state probability.

[0012] Optionally, the UV lamp control algorithm for curing nail art is defined based on the state-UV lamp relationship model, including: Determining a curing attenuation coefficient of the cured nail art; According to the state-UV lamp relationship model, define the UV lamp control parameters for curing nail art, wherein the UV lamp control parameters include irradiation intensity, irradiation angle and irradiation time; Based on the irradiation intensity, the irradiation angle, the irradiation time and the curing attenuation coefficient, the following formula is used to construct the UV lamp control algorithm for curing nail art; wherein, the UV lamp control algorithm: ; in, Indicates time The solidification state Indicates time The solidification state Indicates time The irradiation intensity at Indicates time The exposure time is Indicates time The irradiation angle is represents the curing attenuation coefficient, Represents the time step.

[0013] Among them, the curing attenuation coefficient refers to the rate at which the curing state naturally decreases due to external factors (such as temperature, humidity, etc.) per unit time, the irradiation intensity refers to the energy output of the UV lamp per unit area, the irradiation angle refers to the angle between the light emitted by the UV lamp and the nail surface, the irradiation time refers to the duration of the UV lamp irradiating the nail surface, and the time step refers to the time interval between two consecutive time points in the simulation or control algorithm.

[0014] Optionally, analyzing the curing abnormality of the cured nail art based on the curing data includes: Preprocessing the solidified data to obtain preprocessed solidified data; Establishing an abnormality baseline for the cured nail art; identifying a curing abnormality pattern of the pre-processed curing data according to the abnormality benchmark; extracting abnormal pattern features of the solidification abnormal pattern; Based on the abnormal pattern characteristics, the curing abnormality of the cured nail art is analyzed.

[0015] In order to solve the above problems, the present invention also provides a precise UV nail curing system based on AI image recognition, the system comprising: An irradiation uniformity analysis module is used to obtain the nail curing area and its regional environmental characteristics in the nail curing system, extract the UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters; A nail image acquisition module, configured to adjust image acquisition parameters of an image acquisition module in the nail curing system according to the regional environmental characteristics when the illumination uniformity meets a preset illumination uniformity threshold, and to acquire a nail image of the nails being cured in the nail curing system based on the image acquisition parameters; A nail art smear area recognition module, used for filtering the nail art image to obtain a filtered nail art image, defining a nail art area recognition algorithm for the filtered nail art image, and extracting a nail art smear area image of the filtered nail art image based on the nail art area recognition algorithm; A UV lamp control algorithm building module is used to analyze the curing state of the curing nail art through the trained AI nail art curing analysis model according to the nail art painting area image, establish a state-UV lamp relationship model of the curing nail art through the curing state, and define the UV lamp control algorithm of the curing nail art based on the state-UV lamp relationship model; A curing parameter optimization module is used to analyze the UV lamp irradiation optimization parameters of the UV lamp according to the curing state by using the UV lamp control algorithm, perform continuous curing of the cured nail art based on the UV lamp irradiation optimization parameters, obtain curing data, analyze the curing anomaly of the cured nail art based on the curing data, analyze the curing adaptive parameters of the nail art curing system through the curing anomaly, and perform precise curing of the cured nail art based on the curing adaptive parameters.

[0016] Compared with the problems described in the background technology, firstly, the system accurately obtains the nail curing area and its environmental characteristics, extracts the irradiation parameters of the UV lamp, calculates the irradiation uniformity, ensures the uniform distribution of light during the curing process, and thus improves the curing quality. When the irradiation uniformity meets the preset threshold, the system automatically adjusts the parameters of the image acquisition module to ensure that the collected nail images are clear and accurate, providing a reliable data basis for subsequent analysis. Secondly, by filtering the nail images and combining them with the nail area recognition algorithm, the system can accurately extract the nail application area images, providing targeted analysis objects for the AI ​​nail curing analysis model, and improving the curing quality. The accuracy of the curing state analysis is improved. Furthermore, the application of the AI ​​nail curing analysis model makes it possible to monitor the curing state in real time, and then establishes a relationship model between the curing state and the UV lamp irradiation parameters, and defines the UV lamp control algorithm. This series of measures not only optimizes the UV lamp irradiation parameters, but also realizes the intelligent control of the curing process. Finally, by analyzing the curing data, the system can detect curing abnormalities in time, and adjust according to the curing adaptive parameters to perform precise curing, which not only improves the curing quality of nail products, but also reduces rework and material waste caused by uneven curing or insufficient curing, reduces production costs, and improves customer satisfaction. Therefore, the present invention can improve the curing effect of nail curing. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a process of a precise UV nail curing method based on AI image recognition provided by one embodiment of the present invention; Figure 2 A schematic diagram of a module for implementing the precise UV nail curing method based on AI image recognition provided by one embodiment of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0020] The embodiment of the present application provides a precise UV nail curing method based on AI image recognition. The execution subject of the precise UV nail curing method based on AI image recognition includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the precise UV nail curing method based on AI image recognition can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0021] Embodiment 1: Reference Figure 1 FIG. 1 is a flow chart of a precise UV nail curing method based on AI image recognition provided by an embodiment of the present invention. In this embodiment, the precise UV nail curing method based on AI image recognition includes: S1. Acquire the nail curing area and its regional environmental characteristics in the nail curing system, extract the UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters.

[0022] It should be explained that the nail curing system is a complete system integrating hardware and software for curing nail products such as nail polish and gel. The nail curing area refers to the specific part that needs to be cured, usually the customer's fingernails or toenails. The regional environmental characteristics refer to the environmental conditions around the nail curing area, which may affect the curing effect, including but not limited to the following aspects: lighting conditions, temperature, humidity, color and texture, and surface flatness. The UV lamp refers to a lamp used to emit ultraviolet rays, which are usually used to cure nail products. The UV lamp irradiation parameters refer to a series of parameters used to control and optimize the UV lamp curing process.

[0023] The present invention calculates the irradiation uniformity of the UV lamp according to the irradiation parameters of the UV lamp, and can calculate the irradiation uniformity of the UV lamp, and optimize the irradiation effect according to the result.

[0024] In detail, the calculating the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters includes: Determining the irradiation area of ​​the UV lamp according to the UV lamp irradiation parameters; Analyzing a UV lamp operating state of the UV lamp based on the UV lamp irradiation parameters; When the operating state of the UV lamp meets the preset operating state standard, the irradiation area is gridded to obtain a gridded irradiation area; Using a preset UV intensity meter to identify the UV intensity value of the regional grid corresponding to the gridded irradiation area; Based on the UV intensity value, the irradiation uniformity of the UV lamp is calculated.

[0025] Among them, the irradiation area refers to the spatial range that the UV lamp can effectively irradiate, the UV lamp operating state refers to the various performance indicators of the UV lamp during operation, including but not limited to current, voltage, power, temperature, irradiation intensity, etc., the gridded irradiation area refers to dividing the irradiation area into a series of small, evenly distributed grid units, each unit represents a part of the irradiation area, the UV intensity meter is an instrument for measuring ultraviolet intensity, the UV intensity value refers to the intensity of UV light measured in each grid unit, and the irradiation uniformity refers to the uniformity of UV intensity distribution in the entire irradiation area.

[0026] Further, the calculating the irradiation uniformity of the UV lamp based on the UV intensity value includes: Calculating the average intensity of the UV lamp according to the UV intensity value; Calculate the standard deviation of the UV lamp by the average intensity; Based on the average intensity and the standard deviation, the irradiation uniformity of the UV lamp is calculated using the following formula: ; in, Indicates the uniformity of UV light irradiation. Indicates the average intensity of UV light, Indicates UV lamp UV intensity value of the area grid, represents the standard deviation, Indicates the number of regional grids.

[0027] The average intensity refers to the arithmetic mean of the UV intensity values ​​of all measured grid cells, and the standard deviation refers to a statistic that measures the deviation between the measured value and the average value, which reflects the degree of dispersion of the UV intensity value in the irradiated area.

[0028] S2. When the illumination uniformity meets a preset illumination uniformity threshold, the image acquisition parameters of the image acquisition module in the nail curing system are adjusted according to the regional environmental characteristics, and based on the image acquisition parameters, nail images of the nails being cured in the nail curing system are acquired.

[0029] In the present invention, when the irradiation uniformity meets the preset irradiation uniformity threshold, the image acquisition parameters of the image acquisition module in the nail curing system are adjusted according to the regional environmental characteristics to ensure that the parameter settings of the image acquisition module can adapt to the irradiation effect of the UV lamp, thereby improving the overall performance of the nail curing system.

[0030] In detail, when the illumination uniformity meets the preset illumination uniformity threshold, adjusting the image acquisition parameters of the image acquisition module in the nail curing system according to the regional environmental characteristics includes: When the irradiation uniformity meets a preset irradiation uniformity threshold, determining the light characteristics, visual characteristics and environmental characteristics of the irradiation area corresponding to the nail curing system according to the regional environmental characteristics; Analyzing the light environment of the illumination area based on the light characteristics; Determining the regional surface color and regional surface texture of the irradiated area through the visual features; Analyzing the regional temperature and regional humidity of the irradiated area according to the environmental characteristics; Defining image acquisition requirements for the irradiation area; Identify current image acquisition parameters of the image acquisition module; Analyze the image acquisition loss of the current acquisition parameters of the image in combination with the light environment, the surface color of the area, the surface texture of the area, the temperature of the area, the humidity of the area, and the image acquisition requirements; Based on the image acquisition loss, image acquisition parameters of the image acquisition module are defined.

[0031] Among them, the irradiation uniformity threshold refers to a pre-set standard value of irradiation uniformity, which is used to determine whether the irradiation effect of the UV lamp meets the expected uniformity requirements. The image acquisition module refers to a device used to capture the image of the irradiation area in the nail curing system, usually including a camera, a sensor and other related electronic components. The light environment refers to the lighting conditions in the irradiation area, including natural light, indoor light, and the irradiation intensity of the UV lamp. The surface color of the area refers to the color characteristics of the surface of the irradiation area. Different colors may absorb or reflect different amounts of light, thereby affecting the image acquisition results. The surface texture of the area refers to the texture and pattern of the surface of the irradiation area. The temperature of the area refers to the temperature condition of the irradiation area. Temperature changes may The humidity in the area refers to the humidity level in the irradiated area. The humidity may affect the response of the image sensor and the clarity of the image. The image acquisition requirement refers to a series of conditions that the image acquisition module needs to meet in order to meet the performance requirements of the nail curing system, such as resolution, exposure time, contrast, etc. The current image acquisition parameters refer to the parameter values ​​currently set by the image acquisition module, including exposure time, contrast, white balance, resolution, etc. The image acquisition loss refers to the degradation of image quality caused by improper setting of the current image acquisition parameters, including overexposure, underexposure, color distortion, blur and other losses. The image acquisition parameters refer to specific parameter values ​​set to optimize the image acquisition quality.

[0032] It should be explained that the nail art images refer to pictures showing artistic designs of fingernails or toenails.

[0033] S3. Filter the nail art image to obtain a filtered nail art image, define a nail art region recognition algorithm for the filtered nail art image, and extract a nail art smear region image of the filtered nail art image based on the nail art region recognition algorithm.

[0034] The present invention filters the nail image to obtain a filtered nail image, which can improve the image quality and serve as a basis for subsequent image analysis. The filtered nail image refers to an image obtained by filtering the nail image. In detail, the filtered nail image can be processed by Adobe Photoshop.

[0035] It should be explained that the nail area recognition algorithm refers to an algorithm for identifying the nail area in the filtered nail image.

[0036] The present invention can improve the image analysis efficiency by extracting the nail art application area image of the filtered nail art image based on the nail art area recognition algorithm, thereby more accurately controlling the nail art curing time.

[0037] In detail, the step of extracting the nail art painted area image of the filtered nail art image based on the nail art area recognition algorithm includes: Gray-scale the filtered nail art image to obtain a gray-scale nail art image; Performing Gaussian blur on the grayscale nail art image to obtain a Gaussian blurred image; Marking the nail contour of the Gaussian blurred image using the nail region recognition algorithm; a maximum contour of a nail defining the contour of the nail; Establishing a contour mask of the maximum contour of the nail art, and extracting the nail art smear contour of the Gaussian blurred image based on the contour mask; Calculating a nail art completeness coefficient of the nail art smearing contour; When the nail art integrity coefficient meets a preset nail art integrity threshold, a nail art smearing area image of the filtered nail art image is extracted according to the nail art smearing contour.

[0038] Among them, the grayscale nail image refers to an image obtained by converting the original color nail image into a grayscale scale, the Gaussian blur image refers to an image processed by applying a Gaussian blur filter, the nail contour refers to the nail edge or the boundary of the smeared area identified in the grayscale nail image by edge detection or other image segmentation techniques, the maximum nail contour refers to the contour with the largest area among all the identified contours in the image, the contour mask refers to a binary image, in which the area corresponding to the maximum nail contour is marked as white (or 255), and the other areas are marked as black (or 0), the nail smear contour refers to the boundary of the nail smeared area extracted by the contour mask, the nail integrity coefficient refers to an indicator that quantifies the integrity of the nail smear contour, the nail integrity threshold refers to a preset standard used to determine whether the nail integrity coefficient is high enough, and the nail smeared area image refers to an image extracted from the original filtered nail image and only contains the nail smeared area.

[0039] Furthermore, the step of marking the nail contour of the Gaussian blurred image by using the nail region recognition algorithm includes: Calculate the pixel gradient and pixel direction of the pixel point corresponding to the Gaussian blurred image; Determine a first adjacent pixel point and a second adjacent pixel point of the image pixel point according to the pixel direction; According to the first adjacent pixel point and the second adjacent pixel point, the suppression gradient of the image pixel point is calculated using the following formula: ; in, Represents image pixels The inhibition gradient, represents the first adjacent pixel, represents the second adjacent pixel, represents the pixel gradient of the first adjacent pixel, represents the pixel gradient of the second adjacent pixel, Represents image pixels The pixel gradient of Indicates and, To indicate otherwise;

[0040] The nail contour of the Gaussian blurred image is determined according to the suppressed gradient.

[0041] Among them, the pixel gradient refers to the rate of change of intensity of each pixel in the image in the horizontal and vertical directions, the pixel direction refers to the direction of the pixel gradient, which is usually obtained by calculating the inverse tangent of Gx and Gy, the first adjacent pixel point and the second adjacent pixel point refer to two adjacent pixels along the gradient direction according to the direction of the pixel gradient during the non-maximum suppression process, and the suppressed gradient refers to the gradient value calculated during the non-maximum suppression process.

[0042] S4. According to the nail art painting area image, the curing state of the cured nail art is analyzed by the trained AI nail art curing analysis model. Through the curing state, a state-UV lamp relationship model of the cured nail art is established. Based on the state-UV lamp relationship model, a UV lamp control algorithm for the cured nail art is defined.

[0043] The present invention analyzes the curing state of the cured nail art based on the nail art application area image through a trained AI nail art curing analysis model, and can accurately identify the current curing degree of the nail art, thereby serving as a basis for subsequent curing optimization.

[0044] In detail, analyzing the curing state of the cured nail art by using a trained AI nail art curing analysis model according to the nail art application area image includes: According to the nail art application area image, the curing features of the cured nail art are extracted using the feature extraction layer in the AI ​​nail art curing analysis model; Using the feature pooling layer in the AI ​​nail art curing analysis model to extract physical signs of the curing features, obtaining target curing features; Based on the target curing feature, the probability analysis layer in the AI ​​nail art curing analysis model is used to analyze the curing state probability of the curing nail art; The curing state of the cured nail art is determined according to the curing state probability.

[0045] Among them, the AI ​​nail curing analysis model refers to a deep learning model used to analyze the curing state of nails, the feature extraction layer refers to a layer specifically used to extract useful features from the input image, the curing feature refers to the feature related to the curing state extracted from the nail painting area image, the feature pooling layer refers to a layer used to reduce the spatial dimension of the feature while retaining the most important information, the target curing feature refers to the curing feature after processing by the feature pooling layer, the curing state probability refers to a probability distribution output by the model, indicating the probability that the input image belongs to each possible curing state, and the curing state refers to the final curing state classification determined according to the curing state probability output by the model, such as "fully cured", "partially cured" or "uncured".

[0046] It should be explained that the state-UV lamp relationship model refers to a mathematical or computational model that can describe and predict the relationship between the state of cured manicure (such as fully cured, partially cured, uncured) and the irradiation parameters of the UV lamp (such as irradiation time, irradiation intensity, irradiation distance, etc.).

[0047] The present invention can achieve precise control of nail curing by defining the UV lamp control algorithm for nail curing. The UV lamp control algorithm refers to an algorithm for controlling the UV lamp.

[0048] In detail, the UV lamp control algorithm for curing nail art is defined based on the state-UV lamp relationship model, including: Determining a curing attenuation coefficient of the cured nail art; According to the state-UV lamp relationship model, define the UV lamp control parameters for curing nail art, wherein the UV lamp control parameters include irradiation intensity, irradiation angle and irradiation time; Based on the irradiation intensity, the irradiation angle, the irradiation time and the curing attenuation coefficient, the following formula is used to construct the UV lamp control algorithm for curing nail art; wherein, the UV lamp control algorithm: ; in, Indicates time The solidification state Indicates time The solidification state Indicates time The irradiation intensity at Indicates time The exposure time is Indicates time The irradiation angle is represents the curing attenuation coefficient, Represents the time step.

[0049] Among them, the curing attenuation coefficient refers to the rate at which the curing state naturally decreases due to external factors (such as temperature, humidity, etc.) per unit time, the irradiation intensity refers to the energy output of the UV lamp per unit area, the irradiation angle refers to the angle between the light emitted by the UV lamp and the nail surface, the irradiation time refers to the duration of the UV lamp irradiating the nail surface, and the time step refers to the time interval between two consecutive time points in the simulation or control algorithm.

[0050] S5. According to the curing state, the UV lamp control algorithm is used to analyze the UV lamp irradiation optimization parameters of the UV lamp, and the continuous curing of the cured nail art is performed based on the UV lamp irradiation optimization parameters to obtain curing data. Based on the curing data, the curing anomaly of the cured nail art is analyzed, and through the curing anomaly, the curing adaptive parameters of the nail art curing system are analyzed, and the precise curing of the cured nail art is performed based on the curing adaptive parameters.

[0051] According to the curing state, the present invention can automatically optimize the irradiation parameters of the UV lamp by analyzing the UV lamp irradiation optimization parameters of the UV lamp using the UV lamp control algorithm to achieve the best curing effect. In detail, the UV lamp irradiation optimization parameters refer to the parameter values ​​for adjusting the UV lamp. The curing data refers to the data involved in the curing process of curing nail art through the adjusted UV lamp control parameters.

[0052] The present invention analyzes the curing anomaly of the cured nail art based on the curing data and can find the anomaly of the cured nail art, thereby realizing parameter optimization in time, thereby improving the curing effect of the cured nail art.

[0053] In detail, analyzing the curing abnormality of the curing nail art based on the curing data includes: Preprocessing the solidified data to obtain preprocessed solidified data; Establishing an abnormality baseline for the cured nail art; identifying a curing abnormality pattern of the pre-processed curing data according to the abnormality benchmark; extracting abnormal pattern features of the solidification abnormal pattern; Based on the abnormal pattern characteristics, the curing abnormality of the cured nail art is analyzed.

[0054] Among them, the pre-processed curing data refers to the curing-related data after cleaning, standardization, normalization or other conversion steps, the abnormal benchmark is a set of rules or standards used to distinguish normal curing behavior from abnormal curing behavior, the curing abnormal pattern refers to the pattern or behavior that is inconsistent with the normal curing process in the curing data, and the abnormal pattern characteristics refer to the key features extracted from the curing abnormal pattern. These features can represent the essential attributes of the abnormality, such as the length of curing time, fluctuations in the degree of curing, temperature changes, etc. The curing abnormality refers to any behavior that does not meet expectations or standards during the curing process.

[0055] Optionally, the identifying of the curing abnormality pattern of the pre-processed curing data according to the abnormality benchmark may be performed by using a data mining technology.

[0056] Optionally, the present invention analyzes the curing adaptive parameters of the nail curing system through the curing anomaly to ensure that the curing system can automatically adjust the parameters according to the real-time data to achieve the best curing effect. The curing adaptive parameters refer to the parameters involved in the nail curing process of the nail curing system, such as camera parameters, nail area humidity and other parameters.

[0057] Compared with the problems described in the background technology, firstly, the system accurately obtains the nail curing area and its environmental characteristics, extracts the irradiation parameters of the UV lamp, calculates the irradiation uniformity, ensures the uniform distribution of light during the curing process, and thus improves the curing quality. When the irradiation uniformity meets the preset threshold, the system automatically adjusts the parameters of the image acquisition module to ensure that the collected nail images are clear and accurate, providing a reliable data basis for subsequent analysis. Secondly, by filtering the nail images and combining them with the nail area recognition algorithm, the system can accurately extract the nail application area images, providing targeted analysis objects for the AI ​​nail curing analysis model, and improving the curing quality. The accuracy of the curing state analysis is improved. Furthermore, the application of the AI ​​nail curing analysis model makes it possible to monitor the curing state in real time, and then establishes a relationship model between the curing state and the UV lamp irradiation parameters, and defines the UV lamp control algorithm. This series of measures not only optimizes the UV lamp irradiation parameters, but also realizes the intelligent control of the curing process. Finally, by analyzing the curing data, the system can detect curing abnormalities in time, and adjust according to the curing adaptive parameters to perform precise curing, which not only improves the curing quality of nail products, but also reduces rework and material waste caused by uneven curing or insufficient curing, reduces production costs, and improves customer satisfaction. Therefore, the present invention can improve the curing effect of nail curing.

[0058] Embodiment 2: like Figure 2 Shown is a functional module diagram of a precise UV nail curing system based on AI image recognition according to the present invention.

[0059] The precise UV nail curing system 200 based on AI image recognition described in the present invention can be installed in an electronic device. According to the functions implemented, the precise UV nail curing system based on AI image recognition can include an irradiation uniformity analysis module 201, a nail image acquisition module 202, a nail application area recognition module 203, a UV lamp control algorithm construction module 204, and a curing parameter optimization module 205. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0060] In the embodiment of the present invention, the functions of each module / unit are as follows: The irradiation uniformity analysis module 201 is used to obtain the nail curing area and its regional environmental characteristics in the nail curing system, extract the UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters; The nail image acquisition module 202 is used to adjust the image acquisition parameters of the image acquisition module in the nail curing system according to the regional environmental characteristics when the illumination uniformity meets the preset illumination uniformity threshold, and acquire the nail image of the nail curing system based on the image acquisition parameters; The nail art smear area recognition module 203 is used to filter the nail art image to obtain a filtered nail art image, define a nail art area recognition algorithm for the filtered nail art image, and extract a nail art smear area image of the filtered nail art image based on the nail art area recognition algorithm; The UV lamp control algorithm building module 204 is used to analyze the curing state of the curing nail art through the trained AI nail art curing analysis model according to the nail art painting area image, establish the state-UV lamp relationship model of the curing nail art through the curing state, and define the UV lamp control algorithm of the curing nail art based on the state-UV lamp relationship model; The curing parameter optimization module 205 is used to analyze the UV lamp irradiation optimization parameters of the UV lamp according to the curing state using the UV lamp control algorithm, perform continuous curing of the cured nail art based on the UV lamp irradiation optimization parameters, obtain curing data, analyze curing anomalies of the cured nail art based on the curing data, analyze curing adaptive parameters of the nail art curing system through the curing anomalies, and perform precise curing of the cured nail art based on the curing adaptive parameters.

[0061] In detail, each module in the precise UV nail curing system 200 based on AI image recognition in the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means are used as the precise UV nail curing method based on AI image recognition described in the text, and can produce the same technical effects, so I will not go into details here.

[0062] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A precise UV nail curing method based on AI image recognition, characterized in that: The method comprises: Acquire nail curing areas and regional environmental characteristics in the nail curing system, extract UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters; When the illumination uniformity meets a preset illumination uniformity threshold, adjusting image acquisition parameters of an image acquisition module in the nail curing system according to the regional environmental characteristics, and acquiring a nail image of the nail curing system based on the image acquisition parameters; Filtering the nail art image to obtain a filtered nail art image, defining a nail art region recognition algorithm for the filtered nail art image, and extracting a nail art smear region image of the filtered nail art image based on the nail art region recognition algorithm; According to the nail art painting area image, the curing state of the curing nail art is analyzed by a trained AI nail art curing analysis model, and a state-UV lamp relationship model of the curing nail art is established through the curing state, and a UV lamp control algorithm for the curing nail art is defined based on the state-UV lamp relationship model; According to the curing state, the UV lamp control algorithm is used to analyze the UV lamp irradiation optimization parameters of the UV lamp, and the continuous curing of the cured nail art is performed based on the UV lamp irradiation optimization parameters to obtain curing data. Based on the curing data, the curing abnormality of the cured nail art is analyzed, and through the curing abnormality, the curing adaptive parameters of the nail art curing system are analyzed, and the precise curing of the cured nail art is performed based on the curing adaptive parameters.

2. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of calculating the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters includes: Determining the irradiation area of ​​the UV lamp according to the UV lamp irradiation parameters; Analyzing a UV lamp operating state of the UV lamp based on the UV lamp irradiation parameters; When the operating state of the UV lamp meets the preset operating state standard, the irradiation area is gridded to obtain a gridded irradiation area; Using a preset UV intensity meter to identify the UV intensity value of the regional grid corresponding to the gridded irradiation area; Based on the UV intensity value, the irradiation uniformity of the UV lamp is calculated.

3. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of calculating the irradiation uniformity of the UV lamp based on the UV intensity value includes: Calculating the average intensity of the UV lamp according to the UV intensity value; Calculate the standard deviation of the UV lamp by the average intensity; Based on the average intensity and the standard deviation, the irradiation uniformity of the UV lamp is calculated using the following formula: ； in, Indicates the uniformity of UV light irradiation. Indicates the average intensity of UV light, Indicates UV lamp UV intensity value of the area grid, represents the standard deviation, Indicates the number of area grids.

4. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: When the illumination uniformity meets the preset illumination uniformity threshold, adjusting the image acquisition parameters of the image acquisition module in the nail curing system according to the regional environmental characteristics includes: When the irradiation uniformity meets a preset irradiation uniformity threshold, determining the light characteristics, visual characteristics and environmental characteristics of the irradiation area corresponding to the nail curing system according to the regional environmental characteristics; Analyzing the light environment of the illumination area based on the light characteristics; Determining the regional surface color and regional surface texture of the irradiated area through the visual features; Analyzing the regional temperature and regional humidity of the irradiated area according to the environmental characteristics; Defining image acquisition requirements for the irradiation area; Identify current image acquisition parameters of the image acquisition module; Analyze the image acquisition loss of the current acquisition parameters of the image in combination with the light environment, the surface color of the area, the surface texture of the area, the temperature of the area, the humidity of the area, and the image acquisition requirements; Based on the image acquisition loss, image acquisition parameters of the image acquisition module are defined.

5. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of extracting the nail art smearing area image of the filtered nail art image based on the nail art area recognition algorithm comprises: Gray-scale the filtered nail art image to obtain a gray-scale nail art image; Performing Gaussian blur on the grayscale nail art image to obtain a Gaussian blurred image; Marking the nail contour of the Gaussian blurred image using the nail region recognition algorithm; a maximum contour of a nail defining the contour of the nail; Establishing a contour mask of the maximum contour of the nail art, and extracting the nail art smear contour of the Gaussian blurred image based on the contour mask; Calculating a nail art completeness coefficient of the nail art smearing contour; When the nail art integrity coefficient meets a preset nail art integrity threshold, a nail art smearing area image of the filtered nail art image is extracted according to the nail art smearing contour.

6. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of marking the nail contour of the Gaussian blurred image by using the nail region recognition algorithm includes: Calculate the pixel gradient and pixel direction of the pixel point corresponding to the Gaussian blurred image; Determine a first adjacent pixel point and a second adjacent pixel point of the image pixel point according to the pixel direction; According to the first adjacent pixel point and the second adjacent pixel point, the suppression gradient of the image pixel point is calculated using the following formula: ； in, Represents image pixels The inhibition gradient, represents the first adjacent pixel, represents the second adjacent pixel, represents the pixel gradient of the first adjacent pixel, represents the pixel gradient of the second adjacent pixel, Represents image pixels The pixel gradient of Indicates and, To indicate otherwise; The nail contour of the Gaussian blurred image is determined according to the suppressed gradient.

7. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of analyzing the curing state of the cured nail art by using a trained AI nail art curing analysis model according to the nail art application area image includes: According to the nail art application area image, the curing features of the cured nail art are extracted using the feature extraction layer in the AI ​​nail art curing analysis model; Using the feature pooling layer in the AI ​​nail art curing analysis model to extract physical signs of the curing features, and obtain target curing features; Based on the target curing feature, the probability analysis layer in the AI ​​nail art curing analysis model is used to analyze the curing state probability of the curing nail art; The curing state of the cured nail art is determined according to the curing state probability.

8. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The UV lamp control algorithm for curing nail art is defined based on the state-UV lamp relationship model, including: Determining a curing attenuation coefficient of the cured nail art; According to the state-UV lamp relationship model, define the UV lamp control parameters for curing nail art, wherein the UV lamp control parameters include irradiation intensity, irradiation angle and irradiation time; Based on the irradiation intensity, the irradiation angle, the irradiation time and the curing attenuation coefficient, the following formula is used to construct the UV lamp control algorithm for curing nail art; wherein, the UV lamp control algorithm: ； in, Indicates time The solidification state Indicates time The solidification state Indicates time The irradiation intensity at Indicates time The exposure time is Indicates time The irradiation angle is represents the curing attenuation coefficient, represents the time step; Among them, the curing attenuation coefficient refers to the rate at which the curing state naturally decreases due to external factors (such as temperature, humidity, etc.) per unit time, the irradiation intensity refers to the energy output of the UV lamp per unit area, the irradiation angle refers to the angle between the light emitted by the UV lamp and the nail surface, the irradiation time refers to the duration of the UV lamp irradiating the nail surface, and the time step refers to the time interval between two consecutive time points in the simulation or control algorithm.

9. The precise UV nail curing method based on AI image recognition according to claim 1, characterized in that: The step of analyzing the curing abnormality of the cured nail art based on the curing data includes: Preprocessing the solidified data to obtain preprocessed solidified data; Establishing an abnormality baseline for the cured nail art; According to the abnormality benchmark, identifying a curing abnormality pattern of the pre-processed curing data; extracting abnormal pattern features of the solidification abnormal pattern; Based on the abnormal pattern characteristics, the curing abnormality of the cured nail art is analyzed.

10. A precise UV nail curing system based on AI image recognition, characterized in that: The system comprises: An irradiation uniformity analysis module is used to obtain the nail curing area and its regional environmental characteristics in the nail curing system, extract the UV lamp irradiation parameters of the UV lamp in the nail curing system, and calculate the irradiation uniformity of the UV lamp according to the UV lamp irradiation parameters; A nail image acquisition module, configured to adjust image acquisition parameters of an image acquisition module in the nail curing system according to the regional environmental characteristics when the illumination uniformity meets a preset illumination uniformity threshold, and to acquire a nail image of the nails being cured in the nail curing system based on the image acquisition parameters; A nail art smear area recognition module, used for filtering the nail art image to obtain a filtered nail art image, defining a nail art area recognition algorithm for the filtered nail art image, and extracting a nail art smear area image of the filtered nail art image based on the nail art area recognition algorithm; A UV lamp control algorithm building module is used to analyze the curing state of the curing nail art through the trained AI nail art curing analysis model according to the nail art painting area image, establish a state-UV lamp relationship model of the curing nail art through the curing state, and define the UV lamp control algorithm of the curing nail art based on the state-UV lamp relationship model; A curing parameter optimization module is used to analyze the UV lamp irradiation optimization parameters of the UV lamp according to the curing state by using the UV lamp control algorithm, perform continuous curing of the cured nail art based on the UV lamp irradiation optimization parameters, obtain curing data, analyze the curing anomaly of the cured nail art based on the curing data, analyze the curing adaptive parameters of the nail art curing system through the curing anomaly, and perform precise curing of the cured nail art based on the curing adaptive parameters.

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