A detection method and device of an in-vehicle display screen, an electronic device and a medium

Abstract

The application provides a kind of detection method, device, electronic equipment and medium of vehicle-mounted display screen, wherein the method comprises: controlling power supply to power the vehicle-mounted display screen, and obtaining the backlight signal and communication signal of the vehicle-mounted display screen;When it is determined that the backlight signal and the communication signal are both normal, control the camera to shoot the current display image of the vehicle-mounted display screen;According to the current display image, determine whether the vehicle-mounted display screen normally enters the boot picture;After determining that the vehicle-mounted display screen normally enters the boot picture, control the camera to record the dynamic picture of the vehicle-mounted display screen, and analyze the dynamic picture frame by frame to identify whether the vehicle-mounted display screen has display abnormalities.The application realizes the joint automatic detection of backlight signal, communication signal and dynamic picture display of vehicle-mounted display screen during booting process, improves test efficiency, coverage and problem positioning accuracy.

Description

Technical Field

[0001] This application relates to the field of display screen technology, and more specifically, to a method, apparatus, electronic device, and medium for testing vehicle-mounted displays. Background Technology

[0002] Currently, occasional screen flickering occurs in smart cockpit display products during the R&D process, caused by both hardware and software defects. To prevent these issues from persisting into mass production, additional testing of screen products is typically added during the R&D testing phase. However, these testing methods have significant limitations. Different testers have vastly different sensitivities to flicker, human visual observation is subjective and limited, and EMC environmental testing can only examine brightness fluctuations caused by electromagnetic interference, failing to cover other hardware anomalies. Software-level testing relies solely on log analysis, which cannot directly reflect the actual display effect of the screen and makes it difficult to quickly pinpoint the precise time and logical location of the problem. Summary of the Invention

[0003] In view of the above, the purpose of this application is to provide a method, apparatus, electronic device and medium for detecting vehicle display screens, in order to overcome at least one of the above-mentioned defects.

[0004] Firstly, this application provides a method for detecting an in-vehicle display screen, comprising: The control power supply provides power to the vehicle-mounted display screen and acquires the backlight signal and communication signal of the vehicle-mounted display screen; When it is determined that both the backlight signal and the communication signal are normal, the camera is controlled to capture the current display image of the vehicle display screen; Determine whether the vehicle display screen has entered the boot screen normally based on the currently displayed image; After confirming that the vehicle display screen has entered the boot screen normally, the camera is controlled to record the dynamic image of the vehicle display screen, and the dynamic image is analyzed frame by frame to identify whether there is any display abnormality of the vehicle display screen.

[0005] In one possible implementation, the backlight signal is determined to be normal by: The backlight dimming signal of the vehicle display screen is acquired in real time using an oscilloscope board. A filtering algorithm is applied to the backlight dimming signal to separate and extract the effective PWM signal from the backlight dimming signal; When the frequency and duty cycle of the PWM signal are both within the preset normal range, the backlight signal is determined to be normal.

[0006] In one possible implementation, the normality of the communication signal is determined by the following method: The LVDS digital communication data of the vehicle display screen is captured by a logic analyzer; The LVDS digital communication data is decoded according to a preset protocol to obtain a decoded image data stream; Check whether there are packet loss, misalignment, or verification errors in the decoded image data stream; When it is confirmed that there is no packet loss, no misalignment, and no verification error, the communication signal is considered normal.

[0007] In one possible implementation, it is determined whether the vehicle display screen normally enters the boot screen by the following method: The system monitors the driving status of the vehicle display screen. When the system detects that the vehicle display screen has completed the power-on command, it obtains a background judgment result to determine that the vehicle display screen has entered the power-on screen and controls the camera to capture the current display image of the vehicle display screen. The currently displayed image is subjected to image recognition to determine whether the currently displayed image presents the visual characteristics of a normal boot screen, and a visual recognition result is obtained; The background judgment result is compared with the visual recognition result; When both the background judgment result and the visual recognition result indicate that the boot screen has been entered, it is determined that the vehicle display screen has entered the boot screen normally. When the background judgment result is inconsistent with the visual recognition result, a display anomaly is determined and the test is stopped.

[0008] In one possible implementation, the presence of display anomalies on the vehicle-mounted display screen is identified by the following method: After determining that the vehicle display screen has entered the boot screen normally, control the camera to record the dynamic image of the vehicle display screen; The dynamic scene is cut frame by frame in chronological order to obtain a series of frame images; For each frame of image, the rendering effect algorithm is called to detect whether there are black screen, white screen, screen distortion or stuttering features in that frame of image; Calculate the brightness and color differences between adjacent frames; When the fluctuation range of brightness or color difference between adjacent frames exceeds a preset threshold, a display abnormality is determined to exist.

[0009] Secondly, this application provides a detection device for an in-vehicle display screen, comprising: The acquisition module is used to control the power supply to power the vehicle display screen and acquire the backlight signal and communication signal of the vehicle display screen; The shooting module is used to control the camera to capture the current display image of the vehicle display screen when it is determined that both the backlight signal and the communication signal are normal; The determination module is used to determine whether the vehicle display screen has entered the boot screen normally based on the currently displayed image; The detection module is used to control the camera to record the dynamic image of the vehicle display screen after confirming that the vehicle display screen has entered the boot screen normally, and to analyze the dynamic image frame by frame to identify whether there is any display abnormality of the vehicle display screen.

[0010] In one possible implementation, the imaging module is further configured to acquire the backlight dimming signal of the vehicle display screen in real time via an oscilloscope board; apply a filtering algorithm to the backlight dimming signal to separate and extract a valid PWM signal from the backlight dimming signal; and determine that the backlight signal is normal when the frequency and duty cycle of the PWM signal are both within a preset normal range.

[0011] In one possible implementation, the imaging module is further configured to capture LVDS digital communication data of the vehicle display screen via a logic analyzer; decode the LVDS digital communication data according to a preset protocol to obtain a decoded image data stream; check whether there is packet loss, misalignment, or verification error in the decoded image data stream; and determine that the communication signal is normal when it is confirmed that there is no packet loss, no misalignment, and no verification error.

[0012] Thirdly, this application also provides an electronic device, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and when the machine-readable instructions are executed by the processor, the steps of the method described above are performed.

[0013] Fourthly, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the method described above.

[0014] This application provides a method, apparatus, electronic device, and medium for detecting an in-vehicle display screen. The method includes: controlling a power supply to power the in-vehicle display screen and acquiring the backlight signal and communication signal of the display screen; when both the backlight signal and the communication signal are normal, controlling a camera to capture the current display image of the in-vehicle display screen; determining whether the in-vehicle display screen has normally entered the boot screen based on the current display image; after determining that the in-vehicle display screen has normally entered the boot screen, controlling the camera to record the dynamic image of the in-vehicle display screen and analyzing the dynamic image frame by frame to identify whether there are any display abnormalities in the in-vehicle display screen. This application achieves joint automated detection of the backlight signal, communication signal, and dynamic image display of an in-vehicle display screen during the boot process, improving testing efficiency, coverage, and accuracy of problem localization.

[0015] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating a method for detecting an in-vehicle display screen provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of the vehicle display detection device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.

[0019] First, the applicable scenarios for this application will be introduced. This application can be applied to the field of display screen technology.

[0020] Currently, occasional screen flickering issues occur during the development of displays in smart cockpits, stemming from both hardware and software defects. To prevent these problems from persisting into mass production, additional testing is typically conducted on screens during the R&D and testing phase. Hardware testing primarily employs visual observation combined with electromagnetic compatibility (EMC) environmental experiments to examine physical interference such as brightness fluctuations caused by electromagnetic interference (EMI). Software testing involves analyzing system logs and driver logs to deduce potential software faults.

[0021] However, the above testing methods have significant shortcomings. At the hardware level, different testers have vastly different sensitivities to flicker, human observation is subjective and limited, and EMC environment testing can only examine brightness fluctuations caused by electromagnetic interference, failing to cover other hardware anomalies. At the software level, relying solely on log analysis cannot intuitively reflect the actual display effect of the screen, nor can it quickly pinpoint the precise time and logical location of the problem. Furthermore, hardware and software testing are independent of each other, failing to form an effective testing loop, resulting in a lack of integrated hardware and software testing, severely impacting the efficiency and accuracy of troubleshooting flickering issues.

[0022] Based on this, embodiments of this application provide a detection method, device, electronic device, and medium for vehicle-mounted displays, aiming to solve the shortcomings of existing technologies such as hardware testing relying on human observation, significant limitations of EMC experiments, inability to intuitively locate problems through software log analysis, and the inability to form a closed loop due to the independence of software and hardware testing. This enables the joint automated detection of backlight signals, communication signals, and dynamic image display during the power-on process of vehicle-mounted displays, accurately locating the time and logical position of screen flickering and display abnormalities, replacing manual observation, improving testing efficiency, coverage, and accuracy of problem location, and forming a closed-loop software and hardware test.

[0023] Figure 1 This is a flowchart illustrating a detection method for an in-vehicle display screen provided by an exemplary embodiment of this application. Figure 1 As shown, the method includes the following steps.

[0024] In step S101, the control power supply supplies power to the vehicle display screen and acquires the backlight signal and communication signal of the vehicle display screen.

[0025] Here, "power supply" refers to a programmable power supply, capable of providing precise and controllable power supply voltage and current to the in-vehicle display. "In-vehicle display" refers to screen-type products within a smart cockpit, including but not limited to instrument cluster displays, central control displays, and passenger entertainment screens. "Backlight signal" refers to the dimming signal driving the display's backlight, typically a PWM signal, whose frequency and duty cycle determine the screen's brightness. "Communication signal" refers to the video data signal transmitted from the host or domain controller to the display; in this application, LVDS digital communication data is preferred.

[0026] In a preferred embodiment of this application, step S101 is performed after test initialization is completed. Test initialization includes: establishing a communication connection between the programmable power supply and the camera and the host computer, and setting the current loop count in the host computer program to 0.

[0027] In step S102, when it is determined that both the backlight signal and the communication signal are normal, the camera is controlled to capture the current display image of the vehicle display screen.

[0028] Here, the backlight signal is confirmed to be normal using an oscilloscope board. Specifically, the oscilloscope board acquires the backlight dimming signal of the vehicle display screen in real time; a filtering algorithm is applied to this backlight dimming signal to separate and extract the effective PWM signal; when the frequency and duty cycle of this PWM signal are both within a preset normal range, the backlight signal is determined to be normal. The filtering algorithm is used to filter out noise components such as electromagnetic interference, ensuring that the extracted PWM signal accurately reflects the backlight driving state.

[0029] Determining that the communication signal is normal is achieved using a logic analyzer. Specifically, the logic analyzer captures the LVDS digital communication data from the vehicle's display screen; it decodes the LVDS digital communication data according to a preset protocol (such as VESA or JEIDA standards) to obtain the decoded image data stream; it checks whether there are packet losses, misalignments, or checksum errors in the decoded image data stream; when it is confirmed that there are no packet losses, no misalignments, and no checksum errors, the communication signal is determined to be normal.

[0030] Only when both the backlight signal and the communication signal are determined to be normal is it considered that the hardware foundation of the vehicle display screen (power supply, backlight driver, video transmission link) has the conditions for normal operation. At the same time, the camera captures the image of the screen to be compared (such as the boot logo or a specific icon) on the vehicle display screen, and stores the captured image as a visual comparison template image in a fixed path of the host computer for subsequent boot screen comparison.

[0031] It is important to note that the backlight signal and communication signal do not appear simultaneously with the boot screen during the startup process of the in-vehicle display screen; rather, they have a specific sequence. After the power supply provides power to the display screen, the backlight driver circuit is first enabled and outputs a PWM dimming signal. At this point, the backlight may already be lit, but no valid image is yet displayed on the screen. Subsequently, the host computer sends a video data stream through the LVDS interface, establishing a communication signal. However, the display screen still needs to undergo initial configuration to correctly decode and render the complete boot screen. In other words, the stable presence of the backlight signal is a prerequisite for the screen to display brightness, and the correct decoding of the communication signal is a prerequisite for the screen to display image content. Together, they constitute the basic hardware link for the normal display of the boot screen.

[0032] Therefore, prioritizing the detection of backlight and communication signals before determining the boot screen enables layered diagnostics: if the backlight or communication is abnormal, the problem can be directly identified as a hardware link issue, without waiting for the boot screen timeout; if both are normal but subsequent boot screen comparisons fail, the problem can be focused on the upper-layer software rendering or resource loading stages. This hardware-first, software-second, signal-first, image-second testing sequence effectively avoids misjudgments that may result from single-screen detection and improves the accuracy and efficiency of fault location.

[0033] In step S103, it is determined whether the vehicle display screen has entered the boot screen normally based on the currently displayed image.

[0034] In this application, a dual verification method combining hardware and software is used to determine whether the vehicle display screen normally enters the boot screen. Specifically, it includes the following sub-steps: First, monitor the driver status of the in-vehicle display. When the in-vehicle display completes the power-on command (for example, the host computer learns from the system log or driver feedback that the display has completed initialization and sends a power-on completion signal), the background system determines the result, indicating that the in-vehicle display has entered the boot screen from the software level. At the same time, control the camera to capture the currently displayed image.

[0035] Then, image recognition is performed on the currently displayed image to determine whether the image presents the visual characteristics of a normal boot screen (such as whether there is an expected logo pattern, icon layout, or specific color distribution), and the visual recognition result is obtained.

[0036] Next, the background judgment result is compared with the visual recognition result. When both the background judgment result and the visual recognition result indicate that the boot screen has been entered, it is finally determined that the vehicle display screen has entered the boot screen normally; when the two are inconsistent (for example, the background judges that the boot screen has been entered but the image captured by the camera is a black screen or a distorted screen), it is determined that there is a display abnormality, and the test is stopped immediately.

[0037] This dual verification mechanism effectively avoids the limitations of a single detection method: the background judgment may be misjudged due to false software reports, and the visual recognition may be misjudged due to camera angle or lighting interference. The two verify each other, improving the reliability of the boot screen detection.

[0038] In step S104, after confirming that the vehicle display screen has entered the boot screen normally, the camera is controlled to record the dynamic image of the vehicle display screen, and the dynamic image is analyzed frame by frame to identify whether there is any display abnormality in the vehicle display screen.

[0039] Specifically, the process of identifying display anomalies includes the following steps: After confirming that the vehicle display screen has successfully entered the power-on screen, the camera is controlled to continuously record the dynamic images from the vehicle display screen. The recording duration is a preset value, such as continuous recording for 10 seconds or recording until the next power-off cycle.

[0040] The recorded video footage is cut frame by frame in chronological order to obtain a series of frame images. The frame rate can be set to 30 frames per second or higher to ensure that occasional screen flickering is not missed.

[0041] For each frame of the image, a rendering effect algorithm is called to detect whether there are black screens, white screens, distorted images, or stuttering features in that frame. The rendering effect algorithm is an image processing algorithm that can automatically identify abnormal areas in the image, such as completely black (black screen), completely white (white screen), random noise or color blocks (distorted images), and image stagnation (stuttering).

[0042] Calculate the brightness and color differences between adjacent frames. Brightness differences can be obtained by calculating the average brightness of the frame image or the brightness variation in a specific region; color differences can be obtained by calculating the offset of the chromaticity histogram.

[0043] A display anomaly is determined when the fluctuation range of brightness or color difference between adjacent frames exceeds a preset threshold, which may be more than a preset number of consecutive frames. For example, the preset number could be 3 consecutive frames, and the preset threshold could be a brightness change exceeding 20% ​​or a color difference exceeding 30%. If multiple drastic brightness fluctuations occur within a short period of time, it is determined to be screen flickering.

[0044] In a preferred embodiment of this application, steps S101 to S104 are placed within a cyclical test framework to achieve long-cycle automated testing. Specifically, before the test begins, the current loop count is initialized to 0, and a loop count threshold (e.g., 1000 times) is set. Each time a complete cycle of steps S101 to S104 is executed without abnormal termination, the programmable power supply stops supplying power to the vehicle display screen, the current loop count is incremented by 1, and then it is determined whether the current loop count is less than or equal to the set loop count: if yes, step S101 is returned to begin the next cycle; otherwise, the entire test process ends. This cyclical test can simulate the repeated power-on and power-off process of the vehicle display screen, effectively exposing intermittent screen flickering problems.

[0045] Furthermore, during the entire testing process, the test will immediately terminate and the programmable power supply will shut down if any of the following abnormalities occur: abnormal backlight signal, abnormal LVDS communication data, inconsistent boot screen comparison, or screen flickering or display abnormalities detected in dynamic images. Upon termination, the host computer will record the type of abnormality, the time of occurrence, and related signal snapshots to help R&D personnel accurately locate the problem.

[0046] Compared with existing technologies, this application achieves automated joint detection of backlight signals, communication signals, and dynamic image display during the power-on process of an in-vehicle display screen through the above-described method. This method replaces traditional human observation and independent software and hardware testing, and can accurately locate the time and logical position of screen flickering and display abnormalities, forming a closed-loop software and hardware test, which significantly improves testing efficiency, coverage, and problem location accuracy.

[0047] Based on the same inventive concept, this application also provides a vehicle display detection device corresponding to the vehicle display detection method. Since the principle of the device in this application is similar to the vehicle display detection method described above in this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0048] Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of the vehicle display detection device provided in the embodiments of this application, as shown below. Figure 2 As shown, the detection device 200 for the vehicle-mounted display screen includes: The acquisition module 201 is used to control the power supply to power the vehicle display screen and acquire the backlight signal and communication signal of the vehicle display screen.

[0049] The shooting module 202 is used to control the camera to capture the current display image of the vehicle display screen when it is determined that the backlight signal and communication signal are normal.

[0050] The determination module 203 is used to determine whether the vehicle display screen has entered the boot screen normally based on the currently displayed image.

[0051] The detection module 204 is used to control the camera to record the dynamic image of the vehicle display screen after confirming that the vehicle display screen has entered the boot screen normally, and to analyze the dynamic image frame by frame to identify whether there is any display abnormality in the vehicle display screen.

[0052] In this embodiment of the application, the shooting module is also used to acquire the backlight dimming signal of the vehicle display screen in real time through the oscilloscope board; apply a filtering algorithm to the backlight dimming signal to separate and extract the effective PWM signal from the backlight dimming signal; and determine that the backlight signal is normal when the frequency and duty cycle of the PWM signal are both within the preset normal range.

[0053] In this embodiment of the application, the shooting module is also used to capture LVDS digital communication data of the vehicle display screen through a logic analyzer; decode the LVDS digital communication data according to a preset protocol to obtain the decoded image data stream; check whether there is packet loss, misalignment or verification error in the decoded image data stream; when it is confirmed that there is no packet loss, no misalignment and no verification error, the communication signal is determined to be normal.

[0054] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 As shown, the electronic device 300 includes a processor 310, a memory 320, and a bus 330.

[0055] The memory 320 stores machine-readable instructions that can be executed by the processor 310. When the electronic device 300 is running, the processor 310 and the memory 320 communicate via the bus 330. When the machine-readable instructions are executed by the processor 310, the steps of the method described above can be performed. For specific implementation details, please refer to the method embodiment, which will not be repeated here.

[0056] This application also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, it can execute the steps of the method described above. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0057] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0058] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0059] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0060] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0061] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0062] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for detecting a vehicle-mounted display screen, characterized in that, include: The control power supply provides power to the vehicle-mounted display screen and acquires the backlight signal and communication signal of the vehicle-mounted display screen; When it is determined that both the backlight signal and the communication signal are normal, the camera is controlled to capture the current display image of the vehicle display screen; Determine whether the vehicle display screen has entered the boot screen normally based on the currently displayed image; After confirming that the vehicle display screen has entered the boot screen normally, the camera is controlled to record the dynamic image of the vehicle display screen, and the dynamic image is analyzed frame by frame to identify whether there is any display abnormality of the vehicle display screen.

2. The method according to claim 1, characterized in that, The backlight signal is confirmed to be normal using the following methods: The backlight dimming signal of the vehicle display screen is acquired in real time using an oscilloscope board. A filtering algorithm is applied to the backlight dimming signal to separate and extract the effective PWM signal from the backlight dimming signal; When the frequency and duty cycle of the PWM signal are both within the preset normal range, the backlight signal is determined to be normal.

3. The method according to claim 1, characterized in that, The communication signal is confirmed to be normal using the following methods: The LVDS digital communication data of the vehicle display screen is captured by a logic analyzer; The LVDS digital communication data is decoded according to a preset protocol to obtain a decoded image data stream; Check whether there are packet loss, misalignment, or verification errors in the decoded image data stream; When it is confirmed that there is no packet loss, no misalignment, and no verification error, the communication signal is considered normal.

4. The method according to claim 1, characterized in that, The following methods can be used to determine whether the vehicle display screen normally enters the boot screen: The system monitors the driving status of the vehicle display screen. When the system detects that the vehicle display screen has completed the power-on command, it obtains a background judgment result to determine that the vehicle display screen has entered the power-on screen and controls the camera to capture the current display image of the vehicle display screen. The currently displayed image is subjected to image recognition to determine whether the currently displayed image presents the visual characteristics of a normal boot screen, and a visual recognition result is obtained; The background judgment result is compared with the visual recognition result; When both the background judgment result and the visual recognition result indicate that the boot screen has been entered, it is determined that the vehicle display screen has entered the boot screen normally. When the background judgment result is inconsistent with the visual recognition result, a display anomaly is determined and the test is stopped.

5. The method according to claim 1, characterized in that, The following methods can be used to identify whether the vehicle display screen has any display abnormalities: After determining that the vehicle display screen has entered the boot screen normally, control the camera to record the dynamic image of the vehicle display screen; The dynamic scene is cut frame by frame in chronological order to obtain a series of frame images; For each frame of image, the rendering effect algorithm is called to detect whether there are black screen, white screen, screen distortion or stuttering features in that frame of image; Calculate the brightness and color differences between adjacent frames; When the fluctuation range of brightness or color difference between adjacent frames exceeds a preset threshold, a display abnormality is determined to exist.

6. A detection device for a vehicle-mounted display screen, characterized in that, include: The acquisition module is used to control the power supply to power the vehicle display screen and acquire the backlight signal and communication signal of the vehicle display screen; The shooting module is used to control the camera to capture the current display image of the vehicle display screen when it is determined that both the backlight signal and the communication signal are normal; The determination module is used to determine whether the vehicle display screen has entered the boot screen normally based on the currently displayed image; The detection module is used to control the camera to record the dynamic image of the vehicle display screen after confirming that the vehicle display screen has entered the boot screen normally, and to analyze the dynamic image frame by frame to identify whether there is any display abnormality of the vehicle display screen.

7. The apparatus according to claim 6, characterized in that, The imaging module is also used to acquire the backlight dimming signal of the vehicle display screen in real time through an oscilloscope board; apply a filtering algorithm to the backlight dimming signal to separate and extract the effective PWM signal from the backlight dimming signal; and determine that the backlight signal is normal when the frequency and duty cycle of the PWM signal are both within the preset normal range.

8. The apparatus according to claim 6, characterized in that, The shooting module is also used to capture LVDS digital communication data of the vehicle display screen through a logic analyzer; decode the LVDS digital communication data according to a preset protocol to obtain a decoded image data stream; and check whether there are packet loss, misalignment or verification errors in the decoded image data stream. When it is confirmed that there is no packet loss, no misalignment, and no verification error, the communication signal is considered normal.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is in operation, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the method as described in any one of claims 1 to 5.

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