Intelligent vehicle-mounted adjustable curtain control system and method

Abstract

The present invention discloses an intelligent vehicle-mounted adjustable curtain control system and method, which relates to the technical field of curtain control systems, and aims to solve the technical problem that the existing curtain control system is not convenient for effectively identifying the reflective area and performing targeted response control, including: a picture acquisition module, which is used to acquire the projection imaging area of ​​the curtain surface; a picture analysis module, which is connected to the picture acquisition module, and processes the image information transmitted by the picture acquisition module. The present invention can detect the projection reflective area of ​​the curtain surface in real time and accurately, and can accurately grasp the characteristics of the reflective area by using light intensity threshold comparison, edge gradient analysis and color feature recognition, accurately locate the reflective problem, and ensure that the projection picture can maintain high quality in various complex environments.

Description

Technical Field

[0001] The present invention relates to the technical field of curtain control systems, and more specifically, to an intelligent vehicle-mounted adjustable curtain control system and method. Background Art

[0002] With the continuous development of the automobile industry and the improvement of people's living standards, cars are becoming more and more a means of transportation for ordinary families. Therefore, people have higher and higher requirements for comfort when riding in cars. While the overall functions of the in-car audio and entertainment system are constantly improving and expanding, people have also paid more attention to and requirements for the experience of in-car audio and video. In the past, in order to improve the viewing experience, people would install large-size LCD display devices in the car, and large-size LCD screens require more space in the car, which wastes the car space and cannot be projected onto a larger screen. At present, in-car viewing devices generally include a projector and a projection screen. The projector projects the image onto the projection screen, and a larger picture is formed through the large-size projection screen, which can bring better audio-visual experience to the audience.

[0003] At present, when a car is driving outdoors, the projection screen is usually arranged at the center of the car roof compared to the B-pillar, so that the rear passengers can experience the viewing experience brought by the projection screen. However, since the outdoor environment is relatively complex when the car is driving outdoors, it is easy to produce reflective areas on the surface of the projection screen when facing strong outdoor light, resulting in a decrease in the viewing experience of the local position of the projection screen. The existing screen control system is not convenient for effectively identifying the reflective area and performing targeted response control. In view of this, we propose an intelligent vehicle-mounted adjustable screen control system and method. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent vehicle-mounted adjustable curtain control system and method to solve the technical problem that the existing curtain control system is not convenient for effectively identifying the reflective area and performing targeted response control.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent vehicle-mounted adjustable curtain control system, comprising: a picture acquisition module, used to acquire the projection imaging area of ​​the curtain surface; a picture analysis module, connected to the picture acquisition module, processing the image information transmitted by the picture acquisition module, and sequentially detecting the reflective area according to light intensity threshold comparison, edge gradient analysis and color feature recognition;

[0006] The light and shadow area differentiation module is connected to the image analysis module. The surface area of ​​the curtain is divided into a normal brightness area and a reflective area according to the analysis result of the image analysis module, and the reflective area is determined by comprehensive division.

[0007] The control module adjusts the projector and the screen by receiving the distinction result of the light and shadow area distinction module; the screen adjustment module is used to receive the instructions of the control module and control the screen to adjust the position; the projector adjustment module is used to receive the instructions of the control module and control the projector to adjust the local brightness and contrast; the communication module is used to realize the data interaction between the control module and the screen adjustment module and the projector adjustment module.

[0008] Preferably, the picture acquisition module comprises: an image acquisition unit for acquiring an image on the surface of the screen; and a signal conversion unit for converting an analog signal of the image acquired by the image acquisition unit into a digital signal.

[0009] Preferably, the processing of the image information by the image analysis module includes: assuming that two adjacent frames of images are and , calculate the difference image through the feature point matching algorithm , determine the overlapping part of the screen.

[0010] The present invention can detect the reflective area on the surface of the curtain in real time and accurately through the coordinated work of the image acquisition module, the image analysis module and the light and shadow area differentiation module, and perform multi-dimensional analysis of the reflective area by using three means: light intensity threshold comparison, edge gradient analysis and color feature recognition. Compared with the prior art which lacks a method for effectively identifying the reflective area, the present invention can more accurately locate the reflection problem, and solves the problem that the existing curtain control system is not convenient for effectively identifying the reflective area and performing targeted response control.

[0011] Preferably, the reflective area is detected based on the light intensity threshold comparison, and the detection method is as follows: collect the image pixel point signal, and set the total number of image pixels to , the light intensity of each pixel is , average light intensity ,in Representative The light intensity value of each pixel, the standard deviation of the light intensity , the first reflection detection threshold ,in, is the empirical coefficient, if If the pixels of are adjacent, they are merged into a region and marked as a reflective region. is the pixel coordinate, Represents the coordinates of the image after difference The pixel value at .

[0012] Preferably, the reflective area is detected based on edge gradient analysis, and the detection method is as follows: edge detection is performed on the image, and the edge gradient value of the pixel point is calculated. , ,in, Indicates that the image is Grayscale change rate in direction, Indicates that the image is The grayscale change rate in the direction, assuming the average edge gradient is , the standard deviation is , edge gradient threshold ,in is an empirical coefficient. If the edge gradient values ​​of pixels in a certain area are generally greater than the threshold, , it is determined that the area tends to be a reflective area.

[0013] Preferably, the reflective area is detected based on color feature recognition, and the detection method is as follows: assuming that the reference color saturation value is , the reference hue value is The allowable deviation saturation value is The allowable deviation hue value is , the color feature parameter range is and , identify the area that meets the reflective characteristics, if and , then the pixel point tends to be in the reflective area in terms of color characteristics, where Indicated in coordinates The color saturation at Indicated in coordinates The color tone of the place.

[0014] Preferably, the light and shadow area distinguishing module comprehensively divides and determines the reflective area in the following manner: set the light intensity satisfaction degree of the strong reflective area ,in, For areas that tend to be highly reflective, is the total number of pixels in the area. When , the light intensity characteristics of this area are more inclined to the reflective area, where is the light intensity satisfaction threshold;

[0015] Assume that the edge feature is strongly inclined to the edge gradient satisfaction of the reflective area ,in, The edge features tend to be reflective areas. is the total number of pixels in the area. When , the edge gradient characteristics of the region are more inclined to the reflective area, where is the edge gradient satisfaction threshold;

[0016] Assume that the color characteristics tend to be more reflective. ,in, , The color characteristics are strongly inclined to the reflective area. is the total number of pixels in the area. When , the color characteristics of this area are more inclined to the reflective area, among which, is the color matching threshold;

[0017] When a region satisfies both , and When , the area is determined to be a reflective area;

[0018] Suppose the coordinate set of the boundary pixel points of the reflective area is , reflective area ,in, For adjacent boundary pixels The distance increment in the direction, For adjacent boundary pixels The distance increment in the direction, is the number of boundary pixels;

[0019] The light and shadow area differentiation module monitors the position, area and shape changes of the reflective area in real time, and calculates its change rate by comparing the feature data of the reflective area in continuous frame images.

[0020] Preferably, the control module, according to the distinction result of the light and shadow area distinction module, when there is a reflective area on the screen surface and the area of ​​the area exceeds a preset projection image area threshold When, among them, Based on the tolerance setting for the overall quality of the projected image affected by the reflected image, the control module sends a pause command to the projector. When the adjustment is completed and the reflective area is reduced to below the projection area threshold, the projector resumes its projection. When , the control module sends a command to the projector to resume projection, where: Used to determine if the reflective area is reduced to an acceptable level to restore projection;

[0021] The control module also receives image quality assessment information from the image analysis module, and when the image quality is lower than a preset image quality threshold, , the control module adjusts the resolution and color saturation parameters of the projector.

[0022] A control method of an intelligent vehicle-mounted adjustable curtain control system comprises the following steps:

[0023] S1, using the image acquisition module to collect the screen surface image, converting the analog signal of the collected image into a digital signal and transmitting it to the image analysis module;

[0024] S2, using the image analysis module to receive digital image information, calculate the differential image of the overlapping parts of adjacent images, and then detect the reflective area based on light intensity threshold comparison, edge gradient analysis and color feature recognition;

[0025] S3, using the light and shadow area differentiation module to receive the detection results of the image analysis module, comprehensively analyze and determine the reflective area, calculate the area of ​​the reflective area, and monitor its position, area and shape changes in real time;

[0026] S4, using the control module to receive the result of the light and shadow area differentiation module, and sending control instructions to the screen adjustment module and the projector adjustment module;

[0027] S5. Based on the control instruction of the control module, the curtain is adjusted by using the curtain adjustment module;

[0028] S6. Based on the control instruction of the control module, use the projector adjustment module to adjust the projector.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention can detect the projection reflective area on the screen surface in real time and accurately. By using light intensity threshold comparison, edge gradient analysis and color feature recognition, it can accurately grasp the characteristics of the reflective area and accurately locate the reflection problem, thereby ensuring that the projection image can maintain high quality in various complex environments and avoiding problems such as image blur and distortion caused by reflection. This solves the problem that the existing screen control system is not convenient for effectively identifying the reflective area and performing targeted response control.

[0031] 2. The present invention also calculates the light intensity satisfaction, edge gradient satisfaction and color matching indicators to comprehensively judge the reflective area, and further refines the analysis of the reflective situation. This enables the system to more accurately grasp the characteristics of the reflective area, whether it is slight reflection or severe reflection, and can accurately identify and differentiate between them, thereby further ensuring that the projection image can maintain a high quality in various complex environments, further avoiding problems such as image blur and distortion caused by reflection, and significantly improving the image presentation effect of the projection device.

[0032] 3. The light and shadow area differentiation module of the present invention monitors the position, area and shape changes of the reflective area in real time and calculates its change rate. The control module continuously adjusts the system parameters according to these dynamic information to ensure that the projection image always remains in a good state and can adapt to the changes in the reflective conditions caused by various complex environmental changes during vehicle driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0034] In order to facilitate those skilled in the art to understand the technical solution of the present invention, the technical solution of the present invention is further described in conjunction with the accompanying drawings of the specification.

[0035] Example 1

[0036] like Figure 1 As shown, an intelligent vehicle-mounted adjustable curtain control system includes: a picture acquisition module for acquiring a projection imaging area on the curtain surface; a picture analysis module connected to the picture acquisition module and used to process the image information transmitted by the picture acquisition module, and detect the reflective area in turn through light intensity threshold comparison, edge gradient analysis and color feature recognition; a light and shadow area distinction module connected to the picture analysis module; and used to divide the curtain surface area into a normal brightness area and a reflective area according to the analysis result of the picture analysis module, and comprehensively divide and determine the reflective area;

[0037] It also includes a control module for receiving the distinction result of the light and shadow area distinction module to adjust the projector and the screen; a screen adjustment module for receiving instructions from the control module and controlling the screen to adjust the position; a projector adjustment module for receiving instructions from the control module and controlling the projector to adjust the local brightness and contrast; and a communication module for realizing data interaction between the control module and the screen adjustment module and the projector adjustment module.

[0038] In an embodiment of the present invention, the image acquisition module includes: an image acquisition unit for acquiring an image of the screen surface and a signal conversion unit for converting an analog signal of the image acquired by the image acquisition unit into a digital signal.

[0039] In an embodiment of the present invention, the processing of image information by the picture analysis module includes:

[0040] Based on the difference in grayscale variation between different frames of the reflective area and the normal brightness area, the two adjacent frames are assumed to be and , calculate the difference image through the feature point matching algorithm , determine the overlapping part of the screen;

[0041] The reflective area is detected based on the light intensity threshold comparison. The detection method is as follows:

[0042] Collect image pixel signals, assuming the total number of image pixels is , the light intensity of each pixel is , average light intensity ,in Representative The light intensity value of each pixel, the standard deviation of the light intensity , the first reflection detection threshold ,in, is an empirical coefficient used to adjust the sensitivity of the threshold according to the overall light intensity distribution of the image. Pixels larger than the threshold are counted and the points larger than the threshold are judged to be adjacent. If they are adjacent, they are merged into a region and the region is marked as a reflective region. , then the pixel tends to the reflective area, where is the pixel coordinate, Represents the coordinates of the image after difference The pixel value at ;

[0043] The reflective area is detected based on edge gradient analysis. The detection method is as follows:

[0044] Perform edge detection on the image and calculate the edge gradient value of the pixel , ,in, Indicates that the image is Grayscale change rate in direction, Indicates that the image is The grayscale change rate in the direction, assuming the average edge gradient is , the standard deviation is , edge gradient threshold ,in is an empirical coefficient, which is used to adjust the strictness of the reflection area judgment according to the overall characteristics of the image edge gradient. If the edge gradient value of the pixel points in a certain area is generally greater than the threshold, that is, , then it is determined that the area tends to be a reflective area;

[0045] Reflective areas are detected based on color feature recognition. The detection method is as follows:

[0046] Set the reference color saturation value to , It can be set according to the saturation statistics of common reflective colors. The reference hue value is , Determined based on typical reflective hue characteristics, the allowable deviation saturation value is , According to the tolerance setting for the change of the reflected color saturation, the allowed deviation hue value is , Reflects the degree of acceptance of the reflective hue deviating from the normal range. The color characteristic parameter range is and , identify the area that meets the reflective characteristics, if and , then the pixel point tends to be in the reflective area in terms of color characteristics, where Indicated in coordinates The color saturation at Indicated in coordinates The color tone of the place.

[0047] In an embodiment of the present invention, the light and shadow area distinguishing module is used to receive result information about three reflection detection methods from the image analysis module, including the reflection area information determined by light intensity threshold comparison, the reflection area information determined by edge gradient analysis, and the reflection area information determined by color feature recognition;

[0048] Analyze the distribution and continuity of the internal pixels in the reflective area determined by the light intensity threshold. If there are large areas of continuous pixels with gray values ​​higher than the first reflective detection threshold, , it is marked as a strong tendency to reflect light area, and the light intensity satisfaction degree of the strong tendency to reflect light area is set ,in, For areas that tend to be highly reflective, is the total number of pixels in the area, If the condition is met, it takes 1, if not, it takes 0. When , the light intensity characteristics of this area are more inclined to the reflective area, where is the light intensity satisfaction threshold, which is used to define the reliability of the strong suspected reflective area;

[0049] For the reflective area determined by the edge gradient analysis method, the edge gradient value of the pixels in the area, the distribution uniformity, and the area and shape characteristics of the area are combined to screen out the area with obvious edge features and in accordance with the area and shape rules of the reflective area, and mark it as the reflective area with strong edge features. Set the edge gradient satisfaction of the reflective area with strong edge features ,in, The edge features tend to be reflective areas. is the total number of pixels in the area, If the condition is met, it takes 1, if not, it takes 0. When , the edge gradient characteristics of the region are more inclined to the reflective area, where is the edge gradient satisfaction threshold, which is used to determine the credibility of the suspected reflective area of ​​the edge feature;

[0050] For the reflection-prone area determined by the color feature recognition method, the color feature with a strong tendency to reflect is determined based on the matching degree between the color feature and the preset reflection color model and the consistency of the color distribution in the area. The color matching degree of the color feature with a strong tendency to reflect is set as ,in, , The color characteristics are strongly inclined to the reflective area. is the total number of pixels in the area, If the condition is met, it takes 1, if not, it takes 0. When , the color characteristics of this area are more inclined to the reflective area, among which, is the color matching threshold, which is used to judge the accuracy of the color feature of the suspected reflective area;

[0051] When a region satisfies both , and When a certain area is marked as a suspected reflective area by only one or two detection methods, the difference in pixel features between the area and the surrounding areas is further examined, and the performance of the area under different lighting conditions in the historical detection data is combined. If the difference is significant and the historical data shows a high possibility of reflection, it is marked as an area to be further confirmed, and its feature changes are continuously observed in subsequent continuous multi-frame image analysis. If the area continues to show a strong reflective feature trend in subsequent observations, it is finally determined to be a reflective area, otherwise it is excluded as a reflective area;

[0052] According to the determined boundary information of the reflective area and the normal brightness area, the area of ​​the reflective area is calculated, and the coordinate set of the boundary pixel points of the reflective area is set as , reflective area ,in, For adjacent boundary pixels The distance increment in the direction, For adjacent boundary pixels The distance increment in the direction, is the number of boundary pixels;

[0053] The light and shadow area differentiation module monitors the position, area and shape changes of the reflective area in real time, and calculates its change rate by comparing the feature data of the reflective area in consecutive frame images. For example, if the reflective area is offset in the horizontal direction Exceeding the preset position deviation threshold , or the rate of change of area Exceeding the preset area change threshold , or the shape is significantly deformed, such as the aspect ratio changes exceeding the preset shape change threshold , In order to consider the stability requirement of the projected image shape, it is determined that the reflective area has changed significantly, where According to the layout of the projection screen and the sensitivity setting to image offset, The image degree of the projection effect is determined based on the change in the reflective area.

[0054] In an embodiment of the present invention, the control module is used to receive the division result of the light and shadow area differentiation module and send control instructions to the screen adjustment module and the projector adjustment module by means of the communication module. The specific method for controlling the screen adjustment module is as follows:

[0055] According to the distinction result of the light and shadow area distinction module, when there is a reflective area on the screen surface and the area of ​​the area exceeds the preset projection image area threshold When, among them, Based on the tolerance setting for the overall quality of the projected picture to be affected by the reflective image, the control module sends a pause command to the projector to pause the projection, and at the same time starts the screen adjustment module and the projector adjustment module to make adjustments. When the area of ​​the reflective area increases, the output drive signal causes the screen to move a certain distance away from the reflective light source, and at the same time outputs an adjustment signal to reduce the brightness of the projector to reduce the image of the reflection on the projection effect; when the position of the reflective area shifts to the left, the output drive signal causes the screen to shift to the right by a certain angle, and outputs an adjustment signal to adjust the projection ratio of the projector, causing the projected image to shift to the right by a corresponding angle, to ensure that the projected image is always fully displayed in the normal brightness area of ​​the screen, and when the adjustment is completed and the area of ​​the reflective area is reduced to below the threshold value of the restoration projection area. When the control module sends a restoration projection instruction to the projector, the projector resumes normal projection work, wherein: Used to determine if the reflective area is reduced to an acceptable level to restore projection;

[0056] The control module also receives image quality assessment information from the image analysis module, and when the image quality is lower than a preset image quality threshold, , the control module adjusts the resolution and color saturation parameters of the projector to optimize the quality of the projected image;

[0057] If the reflection problem cannot be solved by moving the screen or shifting the projected image, the control module controls the projector to adjust the local brightness or contrast of the reflective area. Specifically, the projection image is divided into reflective area and non-reflective area according to the reflective area position information determined by the light and shadow area distinction module. For the reflective area, the brightness adjustment parameters of the light source in the corresponding area of ​​the projector are adjusted. Or contrast adjustment parameters , in order to reduce the visual difference between the reflective area and the surrounding normal area, to achieve a good viewing effect, during the adjustment process, the adjustment effect is continuously monitored through the image analysis module, and the adjustment parameters are dynamically optimized according to the monitoring results. , such as reducing the brightness, ,in, is the original brightness parameter, is the brightness adjustment coefficient, which is used to control the brightness reduction. The amount of brightness reduction determined by the degree of reflection can be estimated based on factors such as the light intensity and area of ​​the reflective area;

[0058] For contrast adjustment parameters , such as reducing contrast, ,in, is the original contrast parameter, is the contrast adjustment coefficient, which is used to determine the degree of contrast reduction. The amount of contrast reduction determined by the degree of reflectivity, calculated by combining the difference between the reflective area and the surrounding area;

[0059] The curtain adjustment module drives the curtain to adjust its position in the following ways: using a motor drive system, controlling the forward and reverse rotation and speed of the motor according to the drive signal output by the light and shadow area differentiation module, and realizing precise position adjustment of the curtain in the horizontal, vertical and tilted directions. For example, when the drive signal indicates that the curtain needs to move upward, the motor drive system starts the motor that lifts the curtain upward, so that it runs at a preset speed and stroke until it reaches the target position. During the operation, the curtain position is monitored in real time through a position sensor to ensure the accuracy of the position adjustment;

[0060] The projector adjustment module adjusts the brightness and projection ratio of the projector by using digital dimming technology to adjust the brightness of the projector, distinguishing the adjustment signal output by the module according to the light and shadow area, and accurately controlling the brightness output by changing the current or voltage of the light source inside the projector. For example, when the adjustment signal indicates to reduce the brightness, the projector adjustment module gradually reduces the current of the light source. , so that the brightness According to the preset dimming curve Smoothly reduce and monitor brightness changes to ensure accuracy and stability of brightness adjustment;

[0061] The projector projection ratio is adjusted by using an electric zoom lens. When the adjustment signal requires a change in the projection ratio, the projector adjustment module drives the motor of the electric zoom lens to adjust the focal length of the lens. The projection ratio changes, thereby changing the size and projection angle of the projected image to adapt to the changes in the screen position and reflective area. During the adjustment process, the projected image is monitored in real time through the image analysis module to ensure that the projected image can be accurately displayed in the normal brightness area of ​​the screen after the projection ratio is adjusted.

[0062] Example 2

[0063] like Figure 1 As shown, a control method of an intelligent vehicle-mounted adjustable curtain control system comprises the following steps:

[0064] S1, using the image acquisition module to collect the screen surface image, converting the analog signal of the collected image into a digital signal and transmitting it to the image analysis module;

[0065] S2, using the image analysis module to receive digital image information, calculate the differential image of the overlapping parts of adjacent images, and then detect the reflective area based on light intensity threshold comparison, edge gradient analysis and color feature recognition;

[0066] S3, using the light and shadow area differentiation module to receive the detection results of the image analysis module, comprehensively analyze and determine the reflective area, calculate the area of ​​the reflective area, and monitor its position, area and shape changes in real time;

[0067] S4, using the control module to receive the result of the light and shadow area differentiation module, and sending control instructions to the screen adjustment module and the projector adjustment module;

[0068] S5. Based on the control instruction of the control module, the curtain is adjusted by using the curtain adjustment module;

[0069] S6. Based on the control instruction of the control module, use the projector adjustment module to adjust the projector.

[0070] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. An intelligent vehicle-mounted adjustable curtain control system, characterized in that: include: An image acquisition module is used to acquire the projection imaging area on the screen surface; The image analysis module is connected to the image acquisition module, processes the image information transmitted by the image acquisition module, and detects the reflective area in turn according to light intensity threshold comparison, edge gradient analysis and color feature recognition; The light and shadow area differentiation module is connected to the image analysis module. The surface area of ​​the curtain is divided into a normal brightness area and a reflective area according to the analysis result of the image analysis module, and the reflective area is determined by comprehensive division. The control module adjusts the projector and the screen by receiving the differentiation result of the light and shadow area differentiation module; A curtain adjustment module, used to receive instructions from the control module and control the curtain to adjust its position; A projector adjustment module, used to receive instructions from the control module and control the projector to adjust local brightness and contrast; A communication module, used to realize data interaction between the control module and the screen adjustment module and the projector adjustment module; The control module, based on the distinction result of the light and shadow area distinction module, when there is a reflective area on the screen surface and the area of ​​the area exceeds a preset projection image area threshold When, among them, Based on the tolerance setting for the overall quality of the projected image affected by the reflected image, the control module sends a pause command to the projector. When the adjustment is completed and the reflective area is reduced to below the projection area threshold, the projector resumes its projection. When , the control module sends a command to the projector to resume projection, where: Used to determine if the reflective area is reduced to an acceptable level to restore projection; The control module also receives image quality assessment information from the image analysis module, and when the image quality is lower than a preset image quality threshold, , the control module adjusts the resolution and color saturation parameters of the projector.

2. The intelligent vehicle-mounted adjustable curtain control system according to claim 1, characterized in that: The picture acquisition module includes: Image acquisition unit: used to acquire the screen surface image; The signal conversion unit is used to convert the analog signal of the image acquired by the image acquisition unit into a digital signal.

3. The intelligent vehicle-mounted adjustable curtain control system according to claim 2, characterized in that: The processing of image information by the image analysis module includes: Assume that two adjacent frames of images are and , calculate the difference image through the feature point matching algorithm , determine the overlapping part of the screen.

4. The intelligent vehicle-mounted adjustable curtain control system according to claim 3, characterized in that: The reflective area is detected based on the light intensity threshold comparison. The detection method is as follows: Collect image pixel signals, assuming the total number of image pixels is , the light intensity of each pixel is , average light intensity ,in Representative The light intensity value of each pixel, the standard deviation of the light intensity , the first reflection detection threshold ,in, is the empirical coefficient, if If the pixels of are adjacent, they are merged into a region and marked as a reflective region. is the pixel coordinate, Represents the coordinates of the image after difference The pixel value at .

5. The intelligent vehicle-mounted adjustable curtain control system according to claim 4, characterized in that: The reflective area is detected based on edge gradient analysis. The detection method is as follows: Perform edge detection on the image and calculate the edge gradient value of the pixel , ,in, Indicates that the image is Grayscale change rate in direction, Indicates that the image is The grayscale change rate in the direction, assuming the average edge gradient is , the standard deviation is , edge gradient threshold ,in is an empirical coefficient. If the edge gradient values ​​of pixels in a certain area are generally greater than the threshold, , it is determined that the area tends to be a reflective area.

6. The intelligent vehicle-mounted adjustable curtain control system according to claim 5, characterized in that: Reflective areas are detected based on color feature recognition. The detection method is as follows: Set the reference color saturation value to , the reference hue value is The allowable deviation saturation value is The allowable deviation hue value is , the color feature parameter range is and , identify the area that meets the reflective characteristics, if and , then the pixel point tends to be in the reflective area in terms of color characteristics, where Indicated in coordinates The color saturation at Indicated in coordinates The color tone of the place.

7. The intelligent vehicle-mounted adjustable curtain control system according to claim 6, characterized in that: The light and shadow area distinguishing module comprehensively divides and determines the reflective area in the following manner: Set the light intensity satisfaction of the strong reflective area ,in, For areas with a strong tendency to reflect light, is the total number of pixels in the area. When , the light intensity characteristics of this area are more inclined to the reflective area, where is the light intensity satisfaction threshold; Assume that the edge feature is strongly inclined to the edge gradient satisfaction of the reflective area ,in, The edge features tend to be reflective areas. is the total number of pixels in the area. When , the edge gradient characteristics of the region are more inclined to the reflective area, where is the edge gradient satisfaction threshold; Assume that the color characteristics tend to be more reflective. ,in, , The color characteristics are strongly inclined to the reflective area. is the total number of pixels in the area. When , the color characteristics of this area are more inclined to the reflective area, among which, is the color matching threshold; When a region satisfies both , and When , the area is determined to be a reflective area; Suppose the coordinate set of the boundary pixel points of the reflective area is , reflective area ,in, For adjacent boundary pixels The distance increment in the direction, For adjacent boundary pixels The distance increment in the direction, is the number of boundary pixels; The light and shadow area differentiation module monitors the position, area and shape changes of the reflective area in real time, and calculates its change rate by comparing the feature data of the reflective area in continuous frame images.

8. A control method applied to the intelligent vehicle-mounted adjustable curtain control system as claimed in claim 7, characterized in that: The following steps are involved: S1, using the image acquisition module to collect the screen surface image, converting the analog signal of the collected image into a digital signal and transmitting it to the image analysis module; S2, using the image analysis module to receive digital image information, calculate the differential image of the overlapping parts of adjacent images, and then detect the reflective area based on light intensity threshold comparison, edge gradient analysis and color feature recognition; S3, using the light and shadow area differentiation module to receive the detection results of the image analysis module, comprehensively analyze and determine the reflective area, calculate the area of ​​the reflective area, and monitor its position, area and shape changes in real time; S4, using the control module to receive the result of the light and shadow area differentiation module, and sending control instructions to the screen adjustment module and the projector adjustment module; S5. Based on the control instruction of the control module, the curtain is adjusted by using the curtain adjustment module; S6. Based on the control instruction of the control module, use the projector adjustment module to adjust the projector.

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