Intelligent video terminal double-screen interaction method, system and device for double-head vehicle

Through the dual-screen interactive method, the camera image is edited and enlarged on the video terminal of the double-headed vehicle, which solves the problems of blurred picture and radar ranging delay during reversing, and achieves safer and more convenient driving operations.

CN120104082APending Publication Date: 2025-06-06NANJING ZHAOYUE INTELLIGENT TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202510163644.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-14
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

The video terminals of traditional double-headed cars are blurred due to insufficient lighting or the camera being blocked when reversing, and the radar ranging delay affects the driver's judgment.

Method used

Using the dual-screen interaction method, through computer graphics processing technology and dynamic image adjustment algorithm, the camera screen is edited on the operating screen, boxed and enlarged key areas, and extracted clear area contours and painted in blurred areas based on the image processing algorithm to realize real-time synchronous display of local images.

Benefits of technology

It improves the safety and convenience of the driver during the reversing process, ensures consistency and real-time synchronization of the contents of the two screens, and enhances the operator's visual effects and perception of the surrounding environment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120104082A_ABST
    Figure CN120104082A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of double-screen interaction, in particular to an intelligent video terminal double-screen interaction method, system and device for a double-head vehicle. Comprising the following steps: S1, setting two display screens, respectively defining the two set display screens as an operation screen and a display screen, and adjusting initial parameters of the operation screen and the display screen; the method comprises the following steps of: editing an image on a display screen by using a drawing program, frame-selecting an area close to an obstacle, analyzing and processing event information input by a user in the drawing program through a dynamic image adjustment algorithm, intercepting a frame-selected image picture through the drawing program, and displaying the frame-selected image picture. The method comprises the following steps: intercepting an image, magnifying the intercepted image based on an image processing algorithm, obtaining a clear area and a fuzzy area of the image based on the processed magnified image, and drawing a contour in the fuzzy area according to the extracted contour of the clear area, thereby improving the safety and convenience of a driver in the reversing process, realizing content synchronization, and improving the driving safety. And the visual effect of an operator and the perception ability of a driver to the surrounding environment are improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of dual-screen interaction, and in particular to a dual-screen interaction method, system and device for an intelligent video terminal of a dual-head vehicle. Background Art

[0002] For traditional single-head vehicles, since the driver's driving position is fixed, a single or multiple display screens only need to be installed on the front of the vehicle. Their functions are single and the interactions are simple. Each camera image or radar information only needs to display fixed content.

[0003] When the vehicle is reversing, although the display screen shows the entire rear view, due to the influence of the vehicle's working environment (for example, insufficient lighting or the camera being blocked by foreign objects), the local details of the image on the display screen will be blocked and blurred due to light, making it difficult for the driver to see the details of the rear. In the prior art, when the vehicle approaches an obstacle, the distance between the vehicle and the obstacle is measured by radar and marked on the display screen, and then transmitted to the screen for display. This method will cause a delay in the distance between the mark on the screen and the obstacle due to the slow radar ranging, affecting the driver's judgment. In addition, there is a blurred area in the image on the display screen, which makes it impossible for the driver to accurately judge the obstacles or road conditions in the area, thereby making wrong operations and affecting driving safety. Summary of the invention

[0004] The purpose of the present invention is to provide a dual-screen interaction method, system and device for an intelligent video terminal of a dual-head vehicle to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides a dual-screen interaction method for an intelligent video terminal of a dual-head vehicle, comprising the following method steps:

[0006] S1. Setting two display screens, defining the two display screens as an operation screen and a display screen respectively, and adjusting initial parameters of the operation screen and the display screen;

[0007] S2. Based on computer graphics processing technology, the camera captured images are transmitted in real time to the drawing program in the operation screen for display, and edited on the operation screen. The user input event information in the drawing program is analyzed and processed through a dynamic image adjustment algorithm, and the image is adjusted according to the analysis results;

[0008] S3, based on the adjustment result, the framed image is captured through a drawing program, the captured image is enlarged based on an image processing algorithm, a clear area and a blurred area of ​​the image are obtained, and a contour is drawn in the blurred area according to the extracted contour of the clear area to obtain a display image;

[0009] S4. According to the magnification of the framed image and the configuration parameters of the display screen, the displayed image is interactively displayed on the display screen through network communication technology to achieve real-time synchronization of local images.

[0010] As a further improvement of the technical solution, under normal conditions, the operation screen and the display screen in S1 are both in an initial state, and the initial parameters include resolution setting, display size adjustment, color correction, and image layout adjustment.

[0011] As a further improvement of the technical solution, the steps of the dynamic image adjustment algorithm are as follows:

[0012] S210, first setting the image display area and initializing the drawing environment, capturing the user's input event information through event monitoring technology, and recording the captured event information;

[0013] S220, processing and parsing the captured event information, extracting feature information, and dynamically adjusting the extracted feature information, wherein the feature information includes a selection range and coordinates, position information, size information, and image brightness.

[0014] As a further improvement of the technical solution, when the feature information is extracted and dynamically adjusted in S220, it is shown by the following formula based on the comprehensive adjustment method and the adjustment function:

[0015] Q = f(a, p);

[0016] Among them, f is an adjustment function, which receives two parameters a and p. a represents a specific box selection action, and p contains a set of all parameters required for the drawing action. The set parameters of all parameters include position information, size information, and brightness. Q is a new parameter set obtained after being processed by the adjustment function f. The set Q contains the adjusted image position information, size information, and brightness. The parameter values ​​are used in the display operation of the detail image to ensure the real-time and consistency of data display.

[0017] As a further improvement of the technical solution, when the image is enlarged, the image processing algorithm is based on the double

[0018] Linear interpolation method, the formula is as follows:

[0019]

[0020] The pixel value function is f(x, y), where (x, y) represents the coordinates of the pixel. If you want to scale the image to a new size, the pixel coordinates (x', y') of the target image are floating point numbers, and (x 1 ,y 1 ), (x 2 ,y 1 ), (x1 ,y 2 ), (x 2 ,y 2 ) in the original image, the corresponding four nearest pixel values ​​are f(x 1 ,y 1 ), f(x 2 ,y 1 ), f(x 1 ,y 2 ), f(x 2 ,y 2 ).

[0021] As a further improvement of the technical solution, the image processing algorithm further includes the following method steps for enlarging the image:

[0022] Step 1: Image layout planning: According to the size and resolution of the display screen, the camera's overall image and the enlarged image are spread out on the display screen in equal proportions. According to the position information of the framed image in the overall image, the enlarged image is placed adjacent to the overall image.

[0023] Step 2: Image synthesis: Use the image processing library to synthesize the enlarged image and the overall image together;

[0024] In order to obtain the clear area and the blurred area in the image, and draw the outline of the clear area in the blurred area, the following steps are performed:

[0025] S101, first, convert the color image into a grayscale image, apply Gaussian blur to the grayscale image, and generate a blurred reference image;

[0026] S102, applying the Laplacian operator to the original grayscale image and the blurred reference image to obtain gradient maps of the two images, calculating the difference between the original gradient map and the blurred gradient map to obtain a blur map, where the area with a larger difference represents a clear area in the original image, and the area with a smaller difference represents a blurred area;

[0027] S103: According to the blur map, a threshold is set to distinguish between the clear area and the blur area. Figure 2 The binary image containing only clear area and blurred area is obtained by valuing.

[0028] S104, using a contour detection algorithm on the binary image to extract the contour of the clear area;

[0029] S105 , mapping the extracted clear area contour back to the original color image or the processed image, and drawing the contour in the fuzzy area using a specific color or line style to obtain a display image that needs to be interactively displayed on the display screen.

[0030] As a further improvement of the technical solution, the display image is combined with the network communication protocol TCP / IP, and the processed display image is transmitted to the display screen in real time using streaming media transmission technology, and synchronously processed on the display screen.

[0031] The second object of the invention is to provide a dual-screen interactive device system for an intelligent video terminal of a dual-head vehicle, the interactive system comprising a display setting module, a camera image analysis and processing module, an image display division module, and a display image interaction module, the interactive system being used to execute the steps of the intelligently allocated dual-screen interactive method as described above.

[0032] The third object of the invention is to provide a dual-screen interactive device for an intelligent video terminal of a double-headed vehicle, including the two display screens as mentioned above, a transmission module connecting the display screens, a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the two display screens are respectively used for displaying an overall image and editing and displaying a detailed image, and the transmission module is used for realizing data transmission interaction between the two display screens.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] Use a drawing program to edit the image on the display screen, select the area close to the obstacle, analyze and process the user input event information in the drawing program through a dynamic image adjustment algorithm, and capture the framed image screen through the drawing program in combination with the adjustment result. The captured image screen is enlarged based on the image processing algorithm, and then, based on the processed enlarged image, the clear area and the blurred area of ​​the image are obtained, and the outline is drawn in the blurred area according to the extracted clear area outline, thereby improving the driver's safety and convenience during the reversing process, ensuring the consistency of the content of the two screens, achieving content synchronization, and improving the operator's visual effect and the driver's perception of the surrounding environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flowchart of the dual-screen interaction method of the intelligent video terminal for a dual-head vehicle of the present invention;

[0036] Figure 2 It is a flowchart of the dual-screen interactive system of the intelligent video terminal for dual-head vehicles of the present invention;

[0037] Figure 3 It is a schematic diagram of the dual-screen interactive device of the intelligent video terminal for a dual-head vehicle of the present invention;

[0038] Figure 4 A framework diagram of a single display screen of the present invention;

[0039] Figure 5It is a display diagram of the display screen and the operation screen of the present invention. DETAILED DESCRIPTION

[0040] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] like Figure 1 As shown, a dual-screen interaction method of an intelligent video terminal for a dual-head vehicle is provided, comprising the following method steps:

[0042] S1. Set up two display screens, define the two display screens as an operation screen and a display screen respectively, and adjust the initial parameters of the operation screen and the display screen; it should be clear that when the vehicle is moving forward, the camera images of multiple directions of the vehicle are synchronously displayed on the operation screen and the display screen. When the vehicle is reversing, the operation screen continues to display multiple camera images, and the image transmitted by the rear camera fills the entire display screen for reversing observation.

[0043] First, if Figure 4 As shown, a framework diagram of a single display screen is shown, in which the display screen is mainly composed of two cores: the main control SOC and the MCU microcontroller: the MCU microcontroller is responsible for CAN, serial port data communication and ultrasonic radar, level / frequency / switch and other signal acquisition; the main control SOC is responsible for video access, Ethernet communication and display interaction functions; the entire device meets the intrinsic safety requirements and is powered by this power supply;

[0044] The main control SOC and MCU communicate through the 232 serial port. The purpose is to enable the main control SOC to have the data receiving and sending functions of devices such as CAN and 485 / 232, and to enable the main control SOC to collect ultrasonic radar and switch / level / frequency signal data.

[0045] Ethernet module: supports Ethernet switch function and supports up to 4 Ethernet ports, allowing the main control SOC to realize Ethernet networking capabilities;

[0046] Video access module: supports up to 4 channels of AHD video signal access;

[0047] Touch screen: used for graphical interface display and interaction, supporting multi-touch operation;

[0048] CAN interface module: CAN supports multiple channels, and each channel needs to be distinguished by a unique number;

[0049] 485 / 232 serial port module: The serial port also supports multiple channels, and each channel needs to be distinguished by a unique number;

[0050] Ultrasonic radar controller: The ultrasonic radar controller collects ultrasonic radar distance information and sends it to the MCU through the serial port timing (interval 100ms), supporting up to 8 ultrasonic radar probes;

[0051] IO switch / level / frequency and other signal access: supports multiple signal inputs to receive signals such as reversing and vehicle speed.

[0052] Overall, the display screen has video signal access, CAN data communication, 485 / 232 serial port data communication, ultrasonic radar distance data access, switch level frequency signal access, and Ethernet communication functions.

[0053] Specifically, after the display screen is defined as an operation screen and a display screen, under normal conditions, the operation screen and the display screen in S1 are both in an initial state, and the initial parameters include resolution setting, display size adjustment, color correction, and image layout adjustment. According to the physical resolution of the display screen and the needs of the display content, set a suitable resolution for the operation screen and the display screen. Secondly, when adjusting the display size, the display image is scaled based on the adjustment algorithm of the scaling ratio to adjust the display image to adapt to the display screen, and when adjusting the scaling ratio, ensure that the aspect ratio of the original content is maintained to avoid image distortion. For example, in the Windows system, the user can find the "Scaling and Layout" option in the "Display Settings" and adjust the scaling ratio.

[0054] When color correction is performed on the displayed image, the color settings of the display screen (such as brightness, contrast, saturation, etc.) are adjusted according to the needs of the displayed content. When the brightness of the image is adjusted, the logarithmic transformation in the nonlinear adjustment method is used to adjust the brightness of the displayed image. The formula is:

[0055] S b =q×log i (1+r×S a );

[0056] Among them, S b is the output signal (i.e. the adjusted pixel value), q is a constant used to adjust the strength and range of the transformation, i is the base of the logarithm (commonly used is the natural logarithm e or the logarithm with base 10), and r is another constant used to adjust the input signal S a The scaling factor, S a is the input signal (raw pixel value). After applying the logarithmic transformation formula, a numerical clamping function (such as np.clip in NumPy) is used to ensure that the output signal S bfalls within the range of 0 to 255. If the calculated S b If the value exceeds this range, it will be limited to the nearest boundary value. Finally, the output signal S b Convert from float back to an appropriate integer type (such as uint8) for further image processing or display.

[0057] S2. Based on computer graphics processing technology, the camera captured images are transmitted in real time to the drawing program in the operation screen for display, and edited on the operation screen. The user input event information in the drawing program is analyzed and processed through a dynamic image adjustment algorithm, and the image is adjusted according to the analysis results;

[0058] When the vehicle is reversing, although the display screen shows the entire rear view (refer to Figure 5 However, due to the influence of the vehicle working environment (for example, insufficient lighting), the image on the display screen becomes blurred for the local detail image, making it difficult to see the details at the rear. Therefore, the rear camera image on the operation screen is acquired in real time, and the detail area in the image is edited using the touch sensing function of the display screen. The edited information is analyzed in combination with a dynamic image adjustment algorithm, and the image is adjusted according to the analysis results.

[0059] After the detail image is selected on the operation screen, the selected image needs to be interactively displayed on the operation screen in real time. During this process, the user editing information needs to be processed. Therefore, the steps of the dynamic image adjustment algorithm are as follows:

[0060] S210, first setting an image display area (such as a canvas or a drawing board) and initializing a drawing environment, capturing user input event information through event monitoring technology, and recording the captured event information;

[0061] S220, processing and parsing the captured event information, extracting feature information, and dynamically adjusting the extracted feature information, wherein the feature information includes a selection range and coordinates, position information, size information, image brightness, etc.

[0062] When the feature information is extracted and dynamically adjusted in S220, based on the comprehensive adjustment method and the adjustment function, it is shown by the following formula:

[0063] Q = f(a,p);

[0064] Among them, f is an adjustment function, which receives two parameters a and p. a represents a specific box selection action, and p contains a set of all parameters required for the drawing action. The set parameters of all parameters include position information (such as coordinate points or rectangular areas), size information, and brightness. Q is a new parameter set obtained after being processed by the adjustment function f. The set Q contains the adjusted image position information, size information, and brightness. The parameter values ​​are used in the display operation of the detail image to ensure the real-time and consistency of data display.

[0065] For example: through a 1 Represents a specific element in a (i.e. a specific drawing action), through p 1 To represent the set of parameters required for the drawing action in the p set (ie, a set of specific parameters, adjusted image position information, size information, brightness).

[0066] S3. Based on the adjustment result, the framed image is captured through a drawing program, and the captured image is enlarged based on an image processing algorithm (such as bilinear interpolation to ensure the quality of the enlarged image), and a clear area and a blurred area of ​​the image are obtained, and a contour is drawn in the blurred area according to the extracted contour of the clear area to obtain a display image;

[0067] Specifically, when the image is enlarged, the image processing algorithm is implemented based on the bilinear interpolation method. The value of the target pixel is estimated by calculating the weighted average of the four nearest pixels around the target pixel. The following is the process of image scaling by bilinear interpolation represented by the formula:

[0068] Suppose there is an original image whose pixel value function is f(x,y), where (x,y) represents the coordinates of the pixel (usually an integer), and you want to scale the image to a new size, that is, the pixel coordinates (x', y') of the target image are floating point numbers;

[0069] For a pixel (x', y') in the target image, first find its four nearest pixels in the original image:

[0070] Top left pixel (x 1 ,y 1 ), whose value is f(x 1 ,y 1 );

[0071] Top right pixel (x 2 ,y 1 ), whose value is f(x 2 ,y 1 );

[0072] Lower left pixel (x 1 ,y 2), whose value is f(x 1 ,y 2 );

[0073] Bottom right pixel (x 2 ,y 2 ), whose value is f(x 2 ,y 2 );

[0074] Among them, x 1 =h(x'),x 2 =c(x'),y 1 =h(y'),y 2 =c(y'), that is, these four pixels are the four nearest integer coordinate points of the target pixel in the original image;

[0075] Next, the bilinear interpolation formula is used to calculate the value f(x', y') of the target pixel (x', y'):

[0076] First, perform linear interpolation in the horizontal direction to calculate two intermediate values:

[0077]

[0078] Then, linear interpolation is performed in the vertical direction, using the two intermediate values ​​calculated above to estimate the value of the target pixel:

[0079]

[0080] The f(x', y 1 ) and f(x',y 2 ) is substituted into the above formula to obtain the estimated value of the target pixel (x', y'). The bilinear interpolation algorithm can provide good image quality in the image scaling process, making it easier for the operator to observe the rear view of the reversing vehicle.

[0081] The image processing algorithm further includes the following steps to magnify the image:

[0082] Step 1: Image layout planning: According to the size and resolution of the display screen, the camera's overall image and the enlarged image are spread out in equal proportions on the display screen. According to the position information of the framed image in the overall image, the enlarged image is placed adjacent to the overall image (for example, the enlarged image is placed above and below the overall image, or left and right).

[0083] Step 2: Image synthesis: Use image processing libraries (such as OpenCV, Pillow, etc.) to synthesize the enlarged image and the overall image together;

[0084] In order to obtain the clear area and the blurred area in the image, and draw the outline of the clear area in the blurred area, the following steps are performed:

[0085] S101, first, convert the color image into a grayscale image, apply Gaussian blur to the grayscale image, and generate a blurred reference image, where the blur degree should be large enough to form a contrast with the original image;

[0086] S102, applying the Laplacian operator to the original grayscale image and the blurred reference image to obtain gradient maps of the two images, calculating the difference between the original gradient map and the blurred gradient map to obtain a blur map, where the area with a larger difference represents a clear area in the original image, and the area with a smaller difference represents a blurred area;

[0087] S103: According to the blur map, a threshold is set to distinguish between the clear area and the blur area. Figure 2 The binary image containing only clear area and blurred area is obtained by valuing.

[0088] S104, using a contour detection algorithm (such as Canny edge detection combined with contour search) on the binary image to extract the contour of the clear area;

[0089] S105 , mapping the extracted clear area contour back to the original color image or the processed image, and drawing the contour in the fuzzy area using a specific color or line style to obtain a display image that needs to be interactively displayed on the display screen.

[0090] S4. According to the magnification of the framed image and the configuration parameters of the display screen, the displayed image is interactively displayed on the display screen through the network communication technology to achieve real-time synchronization of the local image;

[0091] The display image is combined with the network communication protocol TCP / IP, and the processed display image is transmitted to the display screen in real time using streaming media transmission technology, and synchronously processed on the display screen. The received display image is adapted according to the configuration parameters such as the resolution and refresh rate of the display screen to ensure that the image can be displayed correctly on the display screen.

[0092] In summary, the image is edited on the operation screen using a drawing program, the area close to the obstacle is framed, the user input event information in the drawing program is analyzed and processed through a dynamic image adjustment algorithm, and the framed image is captured through the drawing program in combination with the adjustment result. The captured image is enlarged based on the image processing algorithm, and then, based on the processed enlarged image, the clear area and the blurred area of ​​the image are obtained, and the outline is drawn in the blurred area according to the extracted clear area outline, thereby improving the safety and convenience of the driver during the reversing process, ensuring the consistency of the content of the two screens, achieving content synchronization, and improving the operator's visual effect and the driver's perception of the surrounding environment.

[0093] like Figure 2 As shown, the second object of the present invention is to provide a dual-screen interactive system for an intelligent video terminal of a dual-headed vehicle, the interactive system comprising a display setting module 100, a camera image analysis and processing module 200, an image display division module 300, and a display image interaction module 400, the interactive system is used to execute the steps of the dual-screen interactive method of the intelligent video terminal of a dual-headed vehicle as described above.

[0094] like Figure 3 As shown, the third object of the present invention is to provide a dual-screen interactive device for an intelligent video terminal of a double-headed vehicle, including two display screens, a transmission module connecting the display screens, a processor, a memory, and a computer program stored in the memory and executable on the processor, the two display screens being respectively used for displaying an overall image and editing and displaying a detailed image, and the transmission module being used for realizing data transmission interaction between the two display screens.

[0095] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A dual-screen interactive method for an intelligent video terminal of a dual-head vehicle, characterized in that: The method comprises the following steps: S1. Setting two display screens, defining the two display screens as an operation screen and a display screen respectively, and adjusting initial parameters of the operation screen and the display screen; S2. Based on computer graphics processing technology, the camera captured images are transmitted in real time to the drawing program in the operation screen for display, and edited on the operation screen. The user input event information in the drawing program is analyzed and processed through a dynamic image adjustment algorithm, and the image is adjusted according to the analysis results; S3, based on the adjustment result, the framed image is captured through a drawing program, the captured image is enlarged based on an image processing algorithm, a clear area and a blurred area of ​​the image are obtained, and a contour is drawn in the blurred area according to the extracted contour of the clear area to obtain a display image; S4. According to the magnification of the framed image and the configuration parameters of the display screen, the displayed image is interactively displayed on the display screen through network communication technology to achieve real-time synchronization of local images.

2. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 1, characterized in that: Under normal conditions, the operation screen and the display screen in S1 are both in an initial state, and the initial parameters include resolution setting, display size adjustment, color correction, and image layout adjustment.

3. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 1 is characterized in that: The steps of the dynamic image adjustment algorithm are as follows: S210, first setting the image display area and initializing the drawing environment, capturing the user's input event information through event monitoring technology, and recording the captured event information; S220, processing and parsing the captured event information, extracting feature information, and dynamically adjusting the extracted feature information, wherein the feature information includes a selection range and coordinates, position information, size information, and image brightness.

4. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 3 is characterized in that: When the feature information is extracted and dynamically adjusted in S220, based on the comprehensive adjustment method and the adjustment function, it is shown by the following formula: Q = f(a,p); Among them, f is an adjustment function, which receives two parameters a and p. a represents a specific box selection action, and p contains a set of all parameters required for the drawing action. The set parameters of all parameters include position information, size information, and brightness. Q is a new parameter set obtained after being processed by the adjustment function f. The set Q contains the adjusted image position information, size information, and brightness. The parameter values ​​are used in the display operation of the detail image to ensure the real-time and consistency of data display.

5. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 1, characterized in that: When the image is enlarged, the image processing algorithm is based on a bilinear interpolation method, and the formula is as follows: Among them, the pixel value function is f(x,y), where (x,y) represents the coordinates of the pixel. If you want to scale the image to a new size, that is, the pixel coordinates (x', y') of the target image are floating point numbers, and the four nearest pixel values ​​corresponding to (x1, y1), (x2, y1), (x1, y2), and (x2, y2) in the original image are f(x1, y1), f(x2, y1), f(x1, y2), and f(x2, y2), respectively.

6. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 5 is characterized in that: The image processing algorithm further includes the following steps to magnify the image: Step 1: Image layout planning: According to the size and resolution of the display screen, the camera's overall image and the enlarged image are spread out on the display screen in equal proportions. According to the position information of the framed image in the overall image, the enlarged image is placed adjacent to the overall image. Step 2: Image synthesis: Use the image processing library to synthesize the enlarged image and the overall image together; In order to obtain the clear area and the blurred area in the image, and draw the outline of the clear area in the blurred area, the following steps are performed: S101, first, convert the color image into a grayscale image, apply Gaussian blur to the grayscale image, and generate a blurred reference image; S102, applying the Laplacian operator to the original grayscale image and the blurred reference image to obtain gradient maps of the two images, calculating the difference between the original gradient map and the blurred gradient map to obtain a blur map, where the area with a larger difference represents a clear area in the original image, and the area with a smaller difference represents a blurred area; S103, according to the blur map, setting a threshold to distinguish between a clear area and a blur area, binarizing the blur map, and obtaining a binary image containing only the clear area and the blur area; S104, using a contour detection algorithm on the binary image to extract the contour of the clear area; S105 , mapping the extracted clear area contour back to the original color image or the processed image, and drawing the contour in the fuzzy area using a specific color or line style to obtain a display image that needs to be interactively displayed on the display screen.

7. The dual-screen interactive method of the intelligent video terminal for a dual-head vehicle according to claim 6, characterized in that: The display image is combined with the network communication protocol TCP / IP, and the processed display image is transmitted to the display screen in real time using the streaming media transmission technology, and synchronous processing is performed on the display screen.

8. An intelligent video terminal dual-screen interactive system for a dual-head vehicle, characterized in that: The interactive system comprises a display screen setting module (100), a camera image analysis and processing module (200), an image display division module (300), and a display image interaction module (400), and the interactive system is used to execute the method steps as claimed in claim 1.

9. An intelligent video terminal dual-screen interactive device for a dual-head vehicle, characterized in that: It includes two display screens as claimed in claim 1, a transmission module connecting the display screens, a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the two display screens are respectively used to display an overall image and edit and display a detailed image, and the transmission module is used to realize data transmission interaction between the two display screens.