A method, system, product, and medium for adjusting the brightness of an LCD screen.

Abstract

A method, system, product, and medium for adjusting the brightness of a liquid crystal display (LCD) screen are disclosed. The method includes: identifying light spots by analyzing non-light source areas in an environmental image whose brightness exceeds a preset threshold, and obtaining their location, area, and corresponding light source location and intensity information; based on the obtained normal direction of the reflective surface of the light spot and the incident angle of the light source, combined with an indoor distribution structure diagram, calculating the propagation path and reflection point location of the reflected light using the law of light reflection; when the reflection point falls within the display area of ​​the LCD screen, calculating the reflection intensity value and affected area of ​​the reflection point based on parameters such as light source intensity, light spot area, incident angle, and propagation distance, and adjusting the brightness of the display area accordingly, with the adjustment range being directly proportional to the reflection intensity value. Implementing the technical solution provided in this application improves the visual clarity of the LCD screen display content in complex lighting environments.

Description

Technical Field

[0001] This application relates to the field of display technology, and more particularly to a method, system, product, and medium for adjusting the brightness of a liquid crystal display (LCD) screen. Background Technology

[0002] Currently, with the rapid development of smart home technology, the application of smart display devices in home environments is becoming increasingly widespread. Especially in special environments such as bathrooms, smart LCD displays not only meet users' needs for information display but also provide practical functions such as weather and time, greatly enhancing users' convenience and smart experience.

[0003] In related technologies, ambient light sensors are typically used to detect the surrounding light intensity and automatically adjust the display brightness of the LCD screen based on the detected light intensity. This method, by collecting ambient light data in real time and combining it with a preset brightness adjustment algorithm, ensures that the displayed content is always kept within a suitable brightness range, thereby providing users with a good visual experience.

[0004] However, in complex environments with multiple reflective surfaces, such as KTV rooms, the walls contain a large amount of reflective material, and there are multiple light sources in the space. Under such complex lighting conditions, the light emitted by the light sources will be reflected multiple times, resulting in strong glare in local areas of the LCD screen. The method of adjusting the overall brightness solely by relying on the ambient light sensor cannot effectively address the issue of users not being able to clearly see the displayed content in the areas where glare occurs, thus affecting the practicality of the LCD screen. Summary of the Invention

[0005] This application provides a method, system, product, and medium for adjusting the brightness of a liquid crystal display (LCD) screen, used to improve the visual clarity of the content displayed on the LCD screen in complex lighting environments.

[0006] The first aspect of this application provides a method for adjusting the brightness of a liquid crystal display screen, the method comprising:

[0007] When a light spot is present in the acquired environmental image, the location, area, light source location, and light source intensity of the light spot are obtained. The surface normal direction of the reflective surface corresponding to the light spot location is obtained. The incident angle of the light source is determined based on the light source location and the light spot location. Combining the indoor distribution structure diagram, surface normal direction, light source incident angle, light source intensity, and light spot location, the reflection propagation path of the reflected light from the light spot is calculated based on the law of light reflection to determine the reflection point location. When the reflection point location is within the LCD screen display area, the reflection intensity value and reflection area of ​​the reflection point within the LCD screen display area are calculated based on the light source intensity, light spot area, incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot location and the reflection point location, according to the basic laws of optics. Based on the reflection intensity value, the display brightness of the LCD screen display reflection area corresponding to the reflection area is adjusted.

[0008] In the above embodiments, by identifying and analyzing the characteristics of light spots in the environment and tracing the propagation path of light using the law of light reflection, local brightness compensation for the LCD display area is ultimately achieved. In related technologies, relying solely on ambient light sensors for overall brightness adjustment is insufficient to address local display interference issues in complex lighting environments. However, the above embodiments establish a complete light propagation analysis chain, modeling and calculating the entire process from light source emission to the final reflection interference on the LCD screen: first, light spot characteristic parameters are obtained through image analysis; then, the light propagation path is predicted based on the law of reflection; next, the reflection intensity distribution is calculated according to fundamental optical laws; and finally, corresponding display compensation is performed. This local area compensation strategy effectively handles complex light interference problems in environments with multiple reflective surfaces, especially in scenarios with multiple light sources and complex reflective surface materials, improving the visual clarity of the LCD display content in complex lighting environments.

[0009] In conjunction with some embodiments of the first aspect, in some embodiments, after determining the location of the reflection point of the reflected ray, the method further includes:

[0010] When the detected ambient humidity value exceeds the preset humidity threshold, the corresponding humidity correction coefficient is obtained from the preset ambient humidity-humidity correction coefficient correspondence table based on the ambient humidity value, and the spot area is corrected according to the humidity correction coefficient to obtain the corrected spot area. The density of water molecules in the air is calculated based on the ambient humidity value. Based on the principle of light scattering and the density of water molecules, the preset light scattering angle per unit distance is obtained. The light scattering angle is applied sequentially to the reflection propagation path to obtain multiple scattering propagation paths of scattered light and multiple scattering reflection points.

[0011] In the above embodiments, a correction coefficient is first obtained based on the ambient humidity value to correct the spot area. Then, by calculating the water molecule density and its scattering effect on light, the divergence behavior of light during propagation is predicted. This light propagation analysis method that considers the influence of humidity is particularly useful under high humidity conditions such as air-conditioned environments or humid weather. Because the scattering effect of water molecules causes complex spatial distribution changes in light, the cumulative calculation of scattering angles yields a light propagation path that more closely reflects the actual situation. This allows for more accurate prediction and compensation of the impact of humidity on display effects, improving the visual clarity of the content displayed on the LCD screen under various humidity conditions.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, after sequentially applying the light scattering angle to the reflection propagation path to obtain multiple scattering propagation paths of scattered light rays and multiple scattering and reflection points, the method further includes:

[0013] The scattering cross section within a preset unit volume is calculated based on the water molecule density; the total scattering loss is calculated based on the scattering cross section and the distance between the light spot position and the scattering reflection point; when the scattering reflection point is within the display area of ​​the LCD screen, the scattering intensity value and scattering area of ​​the scattering reflection point within the display area of ​​the LCD screen are calculated based on the light source intensity, the corrected light spot area, the incident angle between the scattering propagation path and the LCD screen surface, and the distance between the light spot position and the scattering reflection point, according to the basic laws of optics; and the display brightness of the second display reflective area of ​​the LCD screen corresponding to the scattering area is adjusted based on the scattering intensity value.

[0014] In the above embodiments, the scattering cross-section is first calculated based on the water molecule density, and then the total scattering loss is evaluated in conjunction with the propagation distance. This analysis method based on physical optics principles reflects the attenuation law of light energy during propagation. Especially in high humidity environments, the presence of a large number of water molecules leads to significant loss of light energy and changes in spatial distribution. By comprehensively considering multiple parameters such as light source intensity, corrected spot area, and incident angle, the actual influence intensity and area formed by scattered light on the LCD screen are calculated, and display compensation is performed accordingly. This compensation strategy that considers scattering loss can more accurately cope with display interference caused by humidity environments, especially in scenarios with uneven humidity, improving the visual clarity of the LCD screen display content in complex lighting environments.

[0015] In conjunction with some embodiments of the first aspect, in some embodiments, the surface normal direction of the light spot reflecting surface corresponding to the light spot position is obtained; the incident angle of the light source is determined based on the light source position and the light spot position; and, in conjunction with the indoor distribution structure diagram, surface normal direction, incident angle of the light source, light source intensity, and light spot position, the reflection propagation path of the reflected light ray is calculated based on the law of light reflection to determine the reflection point position of the reflected light ray. Specifically, this includes:

[0016] Real-time 3D scene perception analysis is performed on environmental images to construct a 3D model of the real-time environment. The 3D model is used to identify whether it contains temporary objects that are not present in the indoor distribution structure model. If so, the location and shape of the temporary objects are identified, and the translucency of the temporary objects is obtained by observing their specular appearance in the environmental image. Combined with the indoor distribution structure model, the 3D model is improved to obtain the actual scene model. A ray tracing algorithm is used to obtain the surface normal direction of the light spot reflecting surface corresponding to the light spot position. The incident angle of the light source, the light source intensity, and the light spot position are determined by combining the light source position and the light spot position. The reflection propagation path of the reflected light rays is calculated in the actual scene model according to the law of light reflection to determine the reflection point position of the reflected light rays.

[0017] In the above embodiments, the environment is reconstructed in three dimensions, and temporary objects are identified by comparing them with a pre-stored indoor structure model. Then, the scene model is updated to reflect the actual environmental conditions by analyzing the position, shape, and light transmission characteristics of the temporary objects. In scenarios where furniture is frequently moved or there are many temporarily placed items, environmental changes can be captured in a timely manner, and their impact on light propagation can be assessed. By applying ray tracing algorithms to the updated actual scene model, the complete light propagation path, including temporary objects, is predicted, thereby more effectively dealing with display interference caused by dynamic environments and improving the visual clarity of the content displayed on the LCD screen in complex and constantly changing lighting environments.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, after adjusting the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area, the method further includes:

[0019] When the light source is a colored light source, the corresponding color information is obtained; based on the material of the colored light spot reflector surface corresponding to the colored light source, the spectral characteristics corresponding to the color information, and the reflection propagation path, the amount of color deviation and the change in color saturation introduced by the colored reflected light projected onto the reflective area are calculated; based on the color deviation and the change in color saturation, the reflective area of ​​the display is adjusted in reverse color compensation according to the color adjustment rules.

[0020] In the above embodiments, color information of the colored light source is obtained, and then the color change pattern of light during propagation is calculated by combining the spectral response characteristics of the reflective surface material. This analysis method, which considers the interaction between material and spectrum, is particularly useful in scenarios with colored lighting, such as KTV rooms. Since different wavelengths of light produce different degrees of color shift and saturation changes after reflection, calculating these color changes and performing corresponding reverse compensation eliminates the color distortion problem caused by reflected colored light. This compensation strategy based on spectral analysis can better cope with display interference in colored light source environments, especially in complex scenarios with multi-color light source interactions, improving the color reproduction and visual clarity of the LCD screen display.

[0021] In conjunction with some embodiments of the first aspect, in some embodiments, after performing reverse color compensation adjustment on the display reflective area according to color adjustment rules based on changes in color brightness and color saturation, the method further includes:

[0022] When the color switching rate of the color light source exceeds the preset color switching rate threshold or the flicker rate exceeds the preset flicker rate threshold, the compensation adjustment range of the reverse color compensation adjustment is reduced.

[0023] In the above embodiments, by detecting the color switching rate and flicker frequency of the light source, the compensation adjustment amplitude is appropriately reduced when these parameters exceed preset thresholds. This adaptive compensation strategy avoids over-responding to rapidly changing light source states and prevents frequent color fluctuations in the displayed content. Especially in scenarios using rapidly color-changing devices such as LED RGB light strips or stage lighting, where the light source color changes frequently, completely following the changes in compensation may lead to unstable display effects. By dynamically adjusting the compensation intensity, the visual stability of the displayed content is ensured while maintaining a certain compensation effect, thus improving the visual clarity of the LCD screen displaying content in dynamic color lighting environments.

[0024] In conjunction with some embodiments of the first aspect, in some embodiments, after calculating the reflection intensity value and reflection area of ​​the reflection point within the liquid crystal display area according to the fundamental laws of optics, the method further includes:

[0025] When two or more reflective areas partially or completely overlap in space within the display area of ​​an LCD screen, the overlapping area is called a mixed reflection area. All reflection path parameters contributing to the mixed reflection area are retrieved. Based on the nonlinear perception characteristics of human vision for the mixing of multicolor light and the microscopic scattering characteristics of light, the mixed equivalent visual brightness within the mixed reflection area is calculated in combination with the reflection path parameters. The display brightness of the LCD screen display area corresponding to the mixed reflection area is adjusted according to the mixed equivalent visual brightness.

[0026] In the above embodiments, overlapping reflection areas within the display area are identified, and all reflection path parameters affecting these areas are collected. Then, based on the nonlinear perception characteristics of the human eye regarding the mixing of multiple colors and the principle of microscopic light scattering, the equivalent visual brightness of the overlapping areas is calculated. In environments with multiple mirrors or glass curtain walls, multiple reflective surfaces will form complex light superposition effects in the same area. By simulating the actual perception mechanism of the human eye, the comprehensive impact of overlapping light on vision is evaluated, thereby enabling display compensation that better conforms to the perception characteristics of the human eye and improving the visual clarity of the content displayed on the LCD screen in multi-reflection environments.

[0027] In a second aspect, embodiments of this application provide a liquid crystal display screen brightness adjustment system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, which includes computer instructions, and the one or more processors call the computer instructions to cause the liquid crystal display screen brightness adjustment system to perform the method described in the first aspect and any possible implementation thereof.

[0028] Thirdly, embodiments of this application provide a computer program product containing instructions that, when the computer program product is run on a liquid crystal display brightness adjustment system, cause the liquid crystal display brightness adjustment system to perform the method described in the first aspect and any possible implementation thereof.

[0029] Fourthly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a liquid crystal display brightness adjustment system, cause the liquid crystal display brightness adjustment system to perform the method described in the first aspect and any possible implementation thereof.

[0030] Understandably, the LCD screen brightness adjustment system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the LCD screen brightness adjustment method provided in the embodiments of this application. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0031] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0032] This application achieves local brightness compensation for the LCD screen display area by identifying and analyzing the characteristics of light spots in the environment and tracing the light propagation path using the law of light reflection. In related technologies, relying solely on ambient light sensors for overall brightness adjustment is insufficient to address local display interference issues in complex lighting environments. However, the above embodiment establishes a complete light propagation analysis chain, modeling and calculating the entire process from light source emission to the final reflection interference on the LCD screen: first, light spot characteristic parameters are obtained through image analysis; then, the light propagation path is predicted based on the law of reflection; next, the reflection intensity distribution is calculated according to fundamental optical laws; and finally, corresponding display compensation is performed. This local area compensation strategy effectively handles complex light interference problems in environments with multiple reflective surfaces, especially in scenarios with multiple light sources and complex reflective surface materials, improving the visual clarity of the LCD screen display content in complex lighting environments.

[0033] 2. This application corrects the light spot area based on the environmental humidity value using a correction coefficient. Then, by calculating the water molecule density and its scattering effect on light, it predicts the divergence behavior of light during propagation. This light propagation analysis method that considers the influence of humidity is particularly useful under high humidity conditions such as air-conditioned environments or humid weather. Because the scattering effect of water molecules causes complex spatial distribution changes in light, the cumulative calculation of scattering angles yields a more realistic light propagation path. This allows for more accurate prediction and compensation of the impact of humidity on display effects, improving the visual clarity of the LCD screen under various humidity conditions.

[0034] 3. This application reconstructs the environment in three dimensions and identifies temporary objects by comparing them with a pre-stored indoor structural model. Then, by analyzing the position, shape, and light transmission characteristics of these temporary objects, the scene model is updated to reflect the actual environmental conditions. In scenes where furniture is frequently moved or many items are temporarily placed, it can promptly capture environmental changes and assess their impact on light propagation. By applying ray tracing algorithms to the updated actual scene model, the complete light propagation path, including temporary objects, is predicted. This allows for more effective handling of display interference caused by dynamic environments, improving the visual clarity of the content displayed on the LCD screen in complex and constantly changing lighting environments. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating a method for adjusting the brightness of a liquid crystal screen in an embodiment of this application;

[0036] Figure 2 This is another flowchart illustrating the LCD screen brightness adjustment method in this application embodiment;

[0037] Figure 3 This is an exemplary hardware structure diagram of a liquid crystal screen brightness adjustment system according to an embodiment of this application. Detailed Implementation

[0038] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0039] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0040] In related technologies, LCD screen brightness adjustment mainly relies on ambient light sensors to monitor the surrounding light intensity in real time. This method automatically adjusts the display brightness by collecting ambient light data and executing a preset brightness adjustment algorithm. However, in practical applications, especially in complex indoor lighting environments, the presence of multiple reflective surfaces and light sources causes uneven interference in localized areas of the LCD screen after multiple reflections. This localized light interference can result in glare areas on the LCD screen, affecting the user's viewing experience. Traditional brightness adjustment schemes based on overall ambient light intensity are insufficient to meet practical needs, especially in professional settings such as conference rooms and showrooms, where the clarity of localized display areas severely impacts the display effect.

[0041] This application proposes a method for adjusting the brightness of a liquid crystal display (LCD) screen based on light propagation path analysis. The method first identifies light spot characteristics in the environment using image analysis technology, obtaining key parameters such as their location and area. Then, combining indoor structural information and the laws of light reflection, a complete light propagation model is established to predict the propagation path and affected area of ​​reflected light. Finally, based on optical laws, the reflection intensity is calculated to compensate for the affected area inside the display. This refined local brightness adjustment strategy overcomes the limitations of related technologies that rely solely on overall light intensity, providing a solution for improving display quality in complex lighting environments.

[0042] Figure 1 This is a flowchart illustrating the LCD screen brightness adjustment method used in the embodiments of this application, including the following steps:

[0043] S101. If there are light spots in the acquired environmental image, obtain the position, area, light source position, and light source intensity of the light spots.

[0044] Specifically, images of the indoor environment are captured using a camera. Based on a pre-stored indoor layout diagram, the spatial location information of light sources, including lighting fixtures and natural lighting locations such as windows, is determined from the captured images. These known light source areas are marked. In the environmental image, continuous areas with grayscale values ​​exceeding a preset brightness threshold, excluding the marked light source areas, are identified as light spots. The specific identification process is as follows: first, the image is converted from RGB to grayscale; then, an image segmentation algorithm is used to extract areas with grayscale values ​​exceeding the preset brightness threshold; finally, the marked light source areas are excluded, resulting in the light spot areas.

[0045] For the identified light spot, the location of the light spot is determined by calculating the centroid coordinates of the light spot area; the area of ​​the light spot is calculated by counting the number of pixels in the light spot area; the location of the light source is obtained directly from the indoor layout structure diagram; and the intensity of the light source is collected in real time by a light meter or a light sensor.

[0046] S102. Obtain the surface normal direction of the light spot reflecting surface corresponding to the light spot position. Determine the incident angle of the light source based on the light source position and the light spot position. Combine the indoor distribution structure diagram, surface normal direction, light source incident angle, light source intensity and light spot position, calculate the reflection propagation path of the reflected light of the light spot based on the law of light reflection, and determine the reflection point position of the reflected light.

[0047] Specifically, firstly, possible light sources are determined based on the shape and area of ​​the light spot on the reflecting surface. By analyzing the geometry of the light spot (e.g., a circular light spot corresponds to a point light source, a rectangular light spot may correspond to a window, and an elliptical light spot may correspond to a light source coming from an angle), and combining the attenuation relationship between the area of ​​the light spot and the distance from the light source to the reflecting surface, the most likely corresponding light source is selected from multiple pre-marked light sources. After determining the light source, the incident angle of the light is calculated based on the position of the light source and the position of the light spot.

[0048] The surface normal direction is obtained by analyzing the material characteristics and surface morphology of the reflective surface. For flat reflective surfaces (such as mirrors or glass), their geometric orientation is directly obtained as the normal direction; for curved or irregular reflective surfaces, the local normal direction is calculated based on the degree of distortion at the edge of the light spot. Based on the obtained surface normal direction and incident angle, the propagation direction of the reflected light is calculated using the law of reflection (the angle of incidence equals the angle of reflection). Combining the spatial geometric information in the indoor distribution structure diagram, the light propagation path is simulated using a ray tracing algorithm until it intersects with the surface of other objects, thereby determining the location of the reflection point.

[0049] In some embodiments, in indoor environments with multiple reflection characteristics, such as spatial structures composed of parallel mirrors or glass curtain walls, light propagates back and forth between multiple reflective surfaces, forming a complex network of reflection paths. In this case, single-reflection light path prediction methods struggle to cope with the multiple distribution and attenuation of light energy. Furthermore, due to the increase in the number of reflections, the degree of light divergence and energy loss change nonlinearly, causing traditional display compensation schemes to fail to accurately predict the intensity and position of the light ultimately reaching the LCD screen.

[0050] By establishing a recursive reflection model, the energy distribution ratio and propagation direction of light are calculated at each reflection. First, the energy value of the initial light spot is determined. Then, at each reflection, the energy attenuation coefficient is calculated based on the material properties of the reflective surface, and the next-level reflection path is determined based on the surface normal direction. Through iterative calculations, the energy transfer process of light between multiple reflective surfaces is tracked until the light energy attenuates below a preset threshold or reaches the surface of the LCD screen.

[0051] The above steps, by simulating the behavior of light in the process of multiple reflections, enable accurate prediction of the propagation path and energy distribution of light in complex reflection environments, thereby improving the display compensation accuracy in multiple reflection scenarios.

[0052] S103. When the reflection point is located within the display area of ​​the LCD screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the LCD screen are calculated based on the light source intensity, light spot area, incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot position and the reflection point position, according to the basic laws of optics.

[0053] Specifically, the location of the reflection point within the LCD screen display area is determined by comparing its coordinates with the spatial coordinate range of the LCD screen display area. When the reflection point falls within the LCD screen display area, the reflection intensity value and the reflection area are calculated.

[0054] The calculation of the reflection intensity value is based on the law of light energy decay: first, the initial intensity of the light source is considered, and then the distance attenuation is calculated according to the length of the reflection propagation path; second, the cosine attenuation coefficient is calculated in combination with the incident angle; finally, the light spot area is used as the energy density correction factor to obtain the final reflection intensity value.

[0055] The determination of the reflection area begins by calculating the angle between the reflected light and the LCD screen surface, centered on the reflection point. This angle determines the shape of the reflected light spot's projection on the LCD screen. Then, based on the spot area and propagation distance, the size of the reflection area is calculated according to the law of optical divergence. Finally, the shape of the reflection area is distorted by incorporating the incident angle, yielding the actual reflection influence area. The reflection intensity is then distributed within this area according to a Gaussian distribution, forming a complete reflection intensity distribution map.

[0056] In some embodiments, when multiple reflective areas spatially overlap within the display area of ​​a liquid crystal screen, equivalent brightness calculations can be performed by establishing a multi-source mixed reflection model, thereby achieving compensation control for the overlapping areas.

[0057] First, overlapping areas within the display area are identified. By comparing the spatial coordinates and extent of each reflective area, when the boundary coordinates of two or more reflective areas intersect, these intersecting areas are marked as mixed reflective areas, and the specific location and shape of the mixed reflective areas are determined. For each mixed reflective area, all reflection path parameters contributing to that area are collected, including the incident angle of each beam of light with the LCD screen surface, the initial intensity of the corresponding light source, and the reflection intensity value reaching that area after reflection.

[0058] Based on reflection path parameters, the Weber-Fechner law is applied to convert physical brightness values ​​into perceived brightness values, and the nonlinear response characteristics of the human eye to light intensity are calculated. Simultaneously, the Stevens power law is applied to consider the nonlinear changes in perceived intensity at different brightness levels, and the Rayleigh scattering law is combined to evaluate the microscopic scattering effects of light. Specifically, the intensity of each incident ray is first converted into perceived intensity by the human eye, then the directional scattering effect caused by the incident angle is considered, and finally, the equivalent visual brightness value of the mixed reflection zone is obtained through weighted superposition.

[0059] Finally, based on the calculated equivalent visual brightness, the brightness of the LCD display area corresponding to the mixed reflection zone is adjusted using an inverse proportional relationship. When the equivalent visual brightness is high, the brightness output of the display area is reduced accordingly; conversely, the display brightness is increased, thereby ensuring that the displayed content maintains appropriate contrast and clarity despite the interference of overlapping reflections.

[0060] This hybrid light processing method, based on the characteristics of human vision, achieves more accurate display compensation by calculating the combined effect of overlapping light rays, thus improving the display quality of LCD screens in multi-reflection environments.

[0061] S104. Adjust the display brightness of the reflective area of ​​the LCD screen corresponding to the reflective area according to the reflection intensity value.

[0062] Specifically, the display area's brightness is dynamically adjusted based on the previously calculated reflection intensity value. Within the reflective area of ​​the display screen, a brightness compensation mapping relationship is first established: the reflection intensity value is converted into a compensation value for display brightness, with the compensation value being directly proportional to the reflection intensity value. By adjusting the backlight brightness or pixel display intensity of the LCD screen, the display brightness of the corresponding area is controlled to counteract the interference caused by reflected light.

[0063] In some embodiments, when the light source is a colored light source, color compensation adjustment can be performed by acquiring color information and combining it with the characteristics of the reflective surface material, while also considering the dynamic change characteristics of the light source, to achieve intelligent color compensation control of the display area.

[0064] First, the spectral information of the colored light source is acquired using a color sensor to establish a database of the light source's color characteristics. For each color, its energy distribution characteristics within the visible spectrum are analyzed. This precise spectral analysis provides a reliable data foundation for subsequent color compensation.

[0065] Next, the effect of the reflective surface material on light of different wavelengths is analyzed. By measuring the spectral reflectance curve of the reflective surface, the energy loss and dispersion phenomena of light of different wavelengths during reflection can be accurately predicted. Combining the geometric characteristics of the reflection propagation path, the color changes of light during propagation are calculated, including color shift due to selective absorption by the material and reduction in color saturation due to multiple reflections.

[0066] Based on the acquired color change data, inverse color compensation is performed. By adjusting the RGB channel values ​​of the corresponding area of ​​the LCD screen, precise compensation for color shift is achieved. This compensation is not a simple inverse addition, but takes into account the perceptual characteristics of the human eye for different colors, ensuring a more natural display effect after compensation.

[0067] A dynamic monitoring mechanism is also introduced to track the changing characteristics of the colored light source in real time. When a rapid color switch or flickering is detected, the compensation intensity is reduced accordingly. This adaptive adjustment strategy avoids over-response of compensation to rapid changes, prevents display flickering or color jitter, and improves the stability of the viewing experience.

[0068] The above steps, through color analysis and compensation control, resolve the display interference problem caused by colored light sources. Combining material characteristics with dynamic monitoring methods not only improves the accuracy of color reproduction but also ensures the stability of the display effect through adaptive adjustment, thus improving the display quality of the LCD screen under different lighting environments.

[0069] In the above embodiments, by identifying and analyzing the characteristics of light spots in the environment and tracing the propagation path of light using the law of light reflection, local brightness compensation for the LCD display area is ultimately achieved. In related technologies, relying solely on ambient light sensors for overall brightness adjustment is insufficient to address local display interference issues in complex lighting environments. However, the above embodiments establish a complete light propagation analysis chain, modeling and calculating the entire process from light source emission to the final reflection interference on the LCD screen: first, light spot characteristic parameters are obtained through image analysis; then, the light propagation path is predicted based on the law of reflection; next, the reflection intensity distribution is calculated according to fundamental optical laws; and finally, corresponding display compensation is performed. This local area compensation strategy effectively handles complex light interference problems in environments with multiple reflective surfaces, especially in scenarios with multiple light sources and complex reflective surface materials, improving the visual clarity of the LCD display content in complex lighting environments.

[0070] In other embodiments of this application, in high-humidity environments such as air-conditioned rooms or humid weather, the increased water molecules in the air cause light scattering, altering its propagation characteristics and leading to deviations in light propagation calculation methods. The LCD screen brightness adjustment method provided in this application can calculate and compensate for light interference effects in humid environments by real-time monitoring of ambient humidity and establishing a correlation model between water molecule density and light scattering.

[0071] like Figure 2 The diagram shown is another flowchart illustrating a liquid crystal screen brightness adjustment method provided in this application embodiment, including the following steps:

[0072] S201. If there are light spots in the acquired environmental image, obtain the position, area, light source position, and light source intensity of the light spots.

[0073] S202. Perform real-time 3D scene perception analysis on environmental images and construct a 3D model of the real-time environment, and identify whether the 3D model contains temporary objects that are not present in the indoor distribution structure model.

[0074] Specifically, real-time 3D scene reconstruction and analysis are performed on environmental images, and 3D point cloud data is reconstructed using SfM (Structure from Motion) technology. During the point cloud generation process, feature extraction and matching are performed simultaneously to establish spatial correspondences between image sequences, thereby constructing a 3D scene model with depth information.

[0075] After the 3D model is constructed, it is registered and compared with a pre-stored indoor distribution structure model. The registration process uses the ICP (Iterative Closest Point) algorithm to ensure that the two models are compared in the same coordinate system. By calculating the differences between the two models, temporary objects not recorded in the indoor distribution structure model can be identified. These temporary objects may be newly added furniture, equipment, or temporarily placed items.

[0076] When temporary objects are detected, their impact on light propagation is analyzed; if no temporary objects are detected, continuous real-time monitoring is conducted to maintain sensitivity to environmental changes.

[0077] S203. If so, identify the location of the temporary objects, the shape of the temporary object set, and obtain the translucency of the temporary objects by observing their highlights in the environmental image. Combine this with the indoor distribution structure model to improve the 3D model and obtain the actual scene model.

[0078] Specifically, when a temporary object is detected, its spatial coordinates are determined using 3D reconstruction data, and its geometric shape information is obtained using edge detection and contour extraction algorithms. Deep learning-based instance segmentation techniques are employed to accurately delineate the object's boundaries and establish a precise 3D geometric model of the object.

[0079] After acquiring the basic shape of the object, the focus is on analyzing its light transmission characteristics. By detecting the highlight distribution pattern on the object's surface in the environmental image, the light transmittance of the object's material can be inferred. Specifically, firstly, a highlight distribution map of the object's surface is extracted, and the highlight intensity, shape, and distribution characteristics are analyzed. For transparent or translucent objects, their highlight performance typically exhibits characteristic scattering and transmission patterns. Based on these characteristics, combined with a pre-established material-optical property database, the object's light transmittance is quantitatively assessed.

[0080] After a complete assessment of the relevant data on temporary solids, and by combining the indoor distribution structure model, a complete real-world scenario model was obtained.

[0081] S204. Using a ray tracing algorithm, obtain the surface normal direction of the reflective surface corresponding to the spot position, and determine the incident angle of the light source, the light source intensity, and the spot position by combining the light source position and the spot position. In the actual scene model, calculate the reflection propagation path of the reflected light rays of the spot according to the law of light reflection, and determine the reflection point position of the reflected light rays.

[0082] Specifically, ray tracing algorithms are applied in real-world scene models to simulate the propagation path of light.

[0083] First, known parameters such as the light source position and the spot position are imported into the actual scene model to establish the initial conditions for light propagation. Based on these conditions, a ray equation is constructed, which includes the light source position as the starting point and the incident direction vector determined by the distance from the light source to the spot position.

[0084] In ray tracing, a layered processing strategy is employed: First, at the macroscopic level, the intersection of light rays with scene objects is tracked, and potential intersection regions are quickly located using a spatial partitioning algorithm. Then, at the microscopic level, the intersection points of light rays with object surfaces are precisely calculated to obtain the reflection point locations. For each reflection point, the propagation direction of the reflected light is calculated using the law of reflection based on the object surface normal direction and the incident angle. This process considers the material properties of the object surface, including the reflection coefficient and scattering characteristics.

[0085] When dealing with complex scenes, iterative calculations are performed on multiple reflections and transmissions of light. When light encounters a transparent or translucent object, the propagation paths of both reflected and transmitted light are calculated simultaneously, and the energy ratio is allocated according to the optical properties of the material. The attenuation of light intensity during propagation is also considered, and the energy loss of light is calculated using the inverse square law of distance and the material's absorption coefficient.

[0086] S205. When the detected ambient humidity value exceeds the preset humidity threshold, the corresponding humidity correction coefficient is obtained from the preset ambient humidity-humidity correction coefficient correspondence table based on the ambient humidity value, and the spot area is corrected according to the humidity correction coefficient to obtain the corrected spot area.

[0087] Specifically, the area of ​​the light spot is dynamically corrected by monitoring the ambient humidity in real time.

[0088] First, a humidity sensor is deployed to continuously collect ambient humidity data. When the ambient humidity value exceeds a preset threshold, a light spot area correction mechanism is triggered. A pre-established table of ambient humidity and humidity correction coefficients is called. This table, built based on a large amount of experimental data, reflects the light spot diffusion pattern under different humidity conditions. The humidity correction coefficient increases with the increase of ambient humidity value, and this positive correlation reflects the influence of humidity on the light scattering effect.

[0089] During the correction process, a piecewise linear interpolation method is employed to ensure accurate correction coefficients even when humidity values ​​fall between discrete data points in the table. After obtaining the correction coefficients, the original spot area is multiplied by the correction coefficients to obtain the corrected spot area that accounts for the humidity effect. This correction mechanism takes into account the influence of water molecules in the air on light scattering, enabling more accurate prediction of spot diffusion effects in real-world environments.

[0090] In practical applications, air humidity significantly affects the propagation characteristics of light. This is because water molecules in the air increase light scattering and diffuse reflection, resulting in a larger light spot area compared to an ideal dry environment. When ambient humidity increases, the number of suspended water molecules in the air increases, causing Mie scattering and Rayleigh scattering of the incident light. This causes the initially concentrated light beam to gradually diverge during propagation, ultimately leading to a larger light spot area reaching the reflecting surface. Furthermore, excessive humidity causing water droplets to adhere to objects and walls also affects light reflection. Therefore, introducing a humidity correction mechanism can more accurately compensate for the light reflection effects in actual environments.

[0091] S206. Calculate the density of water molecules in the air based on the ambient humidity value, and obtain the preset light scattering angle per unit distance based on the principle of light scattering and the density of water molecules.

[0092] Specifically, based on the ideal gas law and the water vapor partial pressure formula, the ambient humidity value is converted into the number of water molecules per unit volume. In this process, the influence of temperature on the water vapor saturation pressure is considered, and the actual water vapor partial pressure is calculated using the Magnus formula, thereby obtaining a more accurate water molecule density value.

[0093] After obtaining the water molecule density, a model is built using light scattering theory. Since the size of water molecules is much smaller than the wavelength of visible light, Rayleigh scattering is the primary consideration. Using the Rayleigh scattering cross-section formula, combined with the polarizability of water molecules and the incident light wavelength, the scattering intensity distribution of a single water molecule is calculated. Then, the scattering effect of a single water molecule is combined with the actual density to obtain the total scattering effect per unit distance. This cumulative effect ultimately manifests as the divergence angle of light during propagation.

[0094] When water molecules are densely packed, light may undergo multiple scattering events, resulting in an actual divergence angle greater than the predicted value for a single scattering event. By introducing Monte Carlo simulation, the complex propagation path of photons in high-humidity environments can be simulated, yielding a more realistic scattering angle distribution.

[0095] S207. Apply the light scattering angles sequentially to the reflection propagation paths to obtain multiple scattering propagation paths and multiple scattering reflection points.

[0096] Specifically, the light propagation path is discretized into several unit distance segments. A pre-calculated scattering angle is applied to each segment, and the light propagation direction is updated through vector operations. This segment-by-segment accumulation method considers the spatial continuity of the scattering effect and reflects the gradual divergence characteristics of light during propagation.

[0097] For each propagation segment, the original ray splits into multiple sub-rays according to the scattering angle. Each sub-ray carries a portion of the energy and propagates in a different direction. The energy distribution ratio of each sub-ray is determined by the principle of energy conservation, and the propagation path of each sub-ray is traced. When these scattered rays encounter a reflecting surface, the new reflection point position is recorded, and the laws of reflection and scattering effects are applied to calculate the subsequent propagation path.

[0098] To control computational complexity, an energy threshold mechanism is introduced: when the energy of a scattered ray falls below a preset threshold, tracking of that ray stops. Simultaneously, a spatial grid index is established to quickly determine the areas potentially affected by the scattered ray, improving computational efficiency. For each newly generated reflection point, its impact on the display area is evaluated, and a ranking of the reflection points' importance is established.

[0099] In some embodiments, after obtaining the scattering and reflection point, the scattering cross section and total scattering loss are calculated, and the impact of scattered light on the liquid crystal screen is evaluated in conjunction with the basic laws of optics. Based on this, the display compensation strategy is adjusted to compensate for the scattering effect.

[0100] First, based on the obtained water molecule density, the scattering cross section per unit volume is calculated. This calculation uses Rayleigh scattering theory, considering the polarizability of water molecules and the incident light wavelength to obtain the scattering cross section of each water molecule. This cross section is then multiplied by the number of molecules per unit volume to obtain the total scattering cross section value. This parameter directly reflects the probability of light interacting with water molecules during propagation.

[0101] Next, the total scattering loss is calculated based on the scattering cross section and the light propagation distance. Using Beer-Lambert's law, the scattering cross section, propagation distance, and water molecule density are substituted into the formula to obtain the light intensity attenuation coefficient. This calculation method considers the cumulative effect of scattering loss and reflects the energy loss of light during propagation.

[0102] Once it's determined that the scattering and reflection point falls within the LCD screen's display area, the scattering intensity calculation stage begins. This calculation process comprehensively considers multiple factors: using the initial light source intensity as a baseline, the energy density distribution is calculated using the corrected spot area; the cosine attenuation effect is calculated considering the scattering propagation path and the incident angle of the LCD screen; geometric attenuation is calculated based on the propagation distance; and finally, the previously obtained scattering loss is superimposed to obtain the final scattering intensity value. Simultaneously, the range of the scattering area must be determined, which requires considering the divergence characteristics of the scattered light and the influence of the incident angle on imaging.

[0103] Based on the calculated scattering intensity value, display compensation adjustment is performed. The adjustment amplitude is directly proportional to the scattering intensity value; this linear correspondence ensures the accuracy of the compensation effect. A gradual compensation strategy is adopted to establish a brightness compensation gradient within the scattering region, avoiding abrupt changes at the compensation boundary. For cases where multiple scattering regions overlap, the final compensation intensity is determined through superposition calculations.

[0104] The above technical steps, through rigorous physical modeling and calculation, achieve quantitative compensation for scattering effects. This compensation method based on scattering mechanisms not only predicts the impact of scattered light on display effects but also eliminates display interference caused by scattering through an adaptive compensation strategy, improving display quality in high humidity and complex lighting environments.

[0105] S208. When the reflection point is located within the display area of ​​the LCD screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the LCD screen are calculated based on the light source intensity, light spot area, incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot position and the reflection point position, according to the basic laws of optics.

[0106] S209. Adjust the display brightness of the reflective area of ​​the LCD screen corresponding to the reflective area according to the reflection intensity value.

[0107] Steps S201, S208-S209 and Figure 1 In the illustrated embodiment, steps S101 and S103-S104 are similar, and can be referred to the descriptions in steps S101 and S103-S104, which will not be repeated here.

[0108] In the above embodiments, by establishing the correlation between ambient humidity and light propagation characteristics, compensation for display interference in humid environments is achieved. First, a humidity sensor monitors the environmental state; when the humidity exceeds a threshold, a preset correction coefficient is used to correct the light spot area. Then, the density of water molecules in the air is calculated based on the humidity value, and the scattering angle per unit distance is predicted using light scattering theory. Finally, the accumulated scattering effect is applied to the calculation of the light propagation path. In air-conditioned rooms or humid weather, the scattering effect of water molecules causes complex spatial distribution changes in light. By modeling this scattering effect, the light interference pattern in humid environments can be more accurately obtained, thereby achieving more accurate display compensation and improving the visual clarity of the content displayed on the LCD screen under various humidity conditions.

[0109] The following describes an exemplary LCD screen brightness adjustment system 300 provided in an embodiment of this application. Figure 3 This is an exemplary hardware structure diagram of the LCD screen brightness adjustment system 300 provided in this application embodiment.

[0110] In some embodiments, the LCD screen brightness adjustment system 300 is a computer device or includes a computer device. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores data. The network interface of the computer device is used to communicate with other external terminals or servers via a network connection. In some embodiments, the network interface can be a wired network interface; in some embodiments, the network interface can also be a wireless network interface. When the computer program is executed by the processor, it implements the methods in the embodiments of this application.

[0111] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0112] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0113] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0114] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0115] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for adjusting the brightness of a liquid crystal display screen, characterized in that, include: If a light spot exists in the acquired environmental image, obtain the position, area, light source position, and light source intensity of the light spot; The light spot is a region in the environmental image that is a non-light source and has a brightness greater than a preset brightness threshold. The environmental image is subjected to real-time 3D scene perception analysis and a 3D model of the real-time environment is constructed. The 3D model is then used to identify whether it contains temporary objects that are not present in the indoor distributed structure model. If so, identify the temporary object's location and shape; Extract the highlight distribution map of the surface of the temporary object and analyze the highlight intensity, shape and distribution characteristics; Based on the scattering and transmission pattern characteristics of the specular highlights of transparent or translucent objects, and combined with a pre-established material-optical property database, the light transmittance of the temporary object is quantitatively evaluated. Combined with the indoor distribution structure model, the three-dimensional model is improved to obtain the actual scene model. Using a ray tracing algorithm, the surface normal direction of the reflective surface corresponding to the spot position is obtained. The incident angle of the light source, the light source intensity, and the spot position are determined by combining the light source position and the spot position. The reflection propagation path of the reflected light rays of the spot is calculated in the actual scene model according to the law of light reflection, and the reflection point position of the reflected light rays is determined. When the detected ambient humidity value exceeds the preset humidity threshold, the corresponding humidity correction coefficient is obtained from the preset ambient humidity-humidity correction coefficient correspondence table according to the ambient humidity value, and the spot area is corrected according to the humidity correction coefficient to obtain the corrected spot area. The humidity correction factor increases as the ambient humidity value increases; The density of water molecules in the air is calculated based on the ambient humidity value. Based on the principle of light scattering and the density of water molecules, a preset light scattering angle per unit distance is obtained. The light propagation path is discretized into several unit distance segments, and the light scattering angle is applied to each distance segment. The propagation direction of the light is then updated through vector operations. The original light ray splits into multiple sub-rays according to the scattering angle. Each sub-ray carries some energy according to the principle of energy conservation and propagates in different directions. By tracing the propagation path of each sub-ray, the scattering propagation path of the multiple scattered light rays and multiple scattering and reflection points are obtained. When the position of the reflection point is within the display area of ​​the liquid crystal screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the liquid crystal screen are calculated according to the basic laws of optics, based on the light source intensity, the light spot area, the incident angle between the reflection propagation path and the surface of the liquid crystal screen, and the distance between the position of the light spot and the position of the reflection point. The display brightness of the reflective area of ​​the LCD screen corresponding to the reflective area is adjusted according to the reflection intensity value; the adjustment range of the display brightness is proportional to the reflection intensity value.

2. The method according to claim 1, characterized in that, After applying the light scattering angle sequentially to the reflection propagation path to obtain multiple scattered light propagation paths and multiple scattering and reflection points, the method further includes: Calculate the scattering cross section within a preset unit volume based on the water molecule density; calculate the total scattering loss based on the scattering cross section and the distance between the light spot position and the scattering reflection point; When the scattering and reflection point is within the display area of ​​the liquid crystal screen, based on the light source intensity, the corrected spot area, the incident angle between the scattering propagation path and the liquid crystal screen surface, and the distance between the spot position and the scattering and reflection point, the scattering intensity value and scattering area of ​​the scattering and reflection point within the display area of ​​the liquid crystal screen are calculated according to the basic laws of optics. The display brightness of the second display reflective area of ​​the liquid crystal screen corresponding to the scattering area is adjusted according to the scattering intensity value; the second adjustment range of the display brightness is proportional to the scattering intensity value.

3. The method according to claim 1, characterized in that, After adjusting the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area, the method further includes: When the light source is a colored light source, the corresponding color information is obtained; Based on the material of the color spot reflecting surface corresponding to the color light source, the spectral characteristics corresponding to the color information, and the reflection propagation path, the color deviation and color saturation change introduced by the color reflected light projected onto the reflection area are calculated. Based on the changes in color brightness and color saturation, the reflective area of ​​the display is adjusted in reverse color compensation according to the color adjustment rules.

4. The method according to claim 3, characterized in that, After adjusting the reflective display area in reverse color according to the color adjustment rules based on the color brightness and color saturation changes, the method further includes: When the color switching rate of the color light source exceeds a preset color switching rate threshold or the flicker rate exceeds a preset flicker rate threshold, the compensation adjustment magnitude of the reverse color compensation adjustment is reduced.

5. The method according to claim 1, characterized in that, After calculating the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the liquid crystal screen according to the fundamental laws of optics, the method further includes: When there is partial or complete spatial overlap between two or more of the reflected areas within the display area of ​​the LCD screen, the overlapping area is a mixed reflection area. All reflection path parameters contributing to the mixed reflection area are retrieved. The reflection path parameters include the incident angle of the LCD screen, the intensity of the light source, and the reflection intensity value. Based on the nonlinear perception characteristics of human vision of multicolor light mixing and the microscopic scattering characteristics of light, the mixed equivalent visual brightness in the mixed reflection zone is calculated by combining the reflection path parameters. The display brightness of the display area of ​​the liquid crystal screen corresponding to the mixed reflection area is adjusted according to the mixed equivalent visual brightness.

6. A liquid crystal display screen brightness adjustment system, characterized in that, The LCD screen brightness adjustment system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the LCD screen brightness adjustment system to perform the method as described in any one of claims 1-5.

7. A computer program product containing instructions, characterized in that, When the computer program product is run on the LCD screen brightness adjustment system, the LCD screen brightness adjustment system performs the method as described in any one of claims 1-5.

8. A computer-readable storage medium comprising instructions, characterized in that, When the instruction is executed on the LCD screen brightness adjustment system, the LCD screen brightness adjustment system performs the method as described in any one of claims 1-5.

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