Method for suppressing brightness of display device, electronic device and display device

Abstract

To provide a method for suppressing luminance of a display device, an electronic device, and the display device.SOLUTION: The display device includes a display module, a bridge chip, a processor and a display controller. The method includes receiving an image signal, sensing the image signal to determine whether a trigger event has occurred, and reducing brightness of an output image of a display device in response to the occurrence of the trigger event, wherein the display device generates the output image based on the image signal.SELECTED DRAWING: Figure 9

Description

[Technical Field]

[0001] The present invention relates to display technology, and more particularly to a method for suppressing brightness of a display device, an electronic device, and a display device. [Background technology]

[0002] In shooting games, when a player's character is hit by a flashbang, the screen will display a high-brightness image to simulate the visual effect of a flashbang. This visual effect often causes discomfort to the player. Meanwhile, after the flashbang effect disappears, the player's pupils may not have recovered to normal, preventing the player from reacting immediately to the game screen, thereby affecting the player's winning rate and gaming experience. Summary of the Invention [Problem to be solved by the invention]

[0003] The present invention provides a method, an electronic device and a display device for reducing the brightness of a display device, which can reduce the negative impact of flashing visual effects on players. [Means for solving the problem]

[0004] The display device of the present invention includes a display module, a bridge chip, a processor, and a display controller. The bridge chip receives an image signal. The processor is electrically connected to the bridge chip. The display controller is electrically connected to the processor and the display module. The processor detects the image signal and determines whether a trigger event occurs. In response to the occurrence of the trigger event, the display controller reduces the brightness of the output image of the display module, and the display controller generates an output image based on the image signal.

[0005] In one embodiment of the present invention, the processor inputs the image signal into a machine learning model to generate a detection result, and the processor determines whether a trigger event has occurred based on the detection result.

[0006] In one embodiment of the present invention, the above-mentioned processor compares the average color parameters of the image signal with a threshold to generate a detection result, and the processor determines whether a trigger event has occurred based on the detection result.

[0007] In one embodiment of the present invention, in response to the average color parameter exceeding a threshold, the processor generates a detection result indicating the occurrence of a trigger event.

[0008] In one embodiment of the present invention, the above-mentioned display module outputs an on-screen display interface, and the processor detects the image signal according to the operation command corresponding to the on-screen display interface.

[0009] In one embodiment of the present invention, the above-mentioned processor performs object detection on the image signal to obtain a detection result, and senses the image signal based on the detection result.

[0010] In one embodiment of the present invention, the processor performs object detection using a region convolutional neural network, where the region convolutional neural network includes a region proposal network.

[0011] In one embodiment of the present invention, the processor detects the image signal to determine if the trigger event has ended, and in response to the trigger event ending, the display controller stops reducing the brightness of the output image.

[0012] The electronic device for reducing brightness of a display device of the present invention includes a transceiver and a processor, the transceiver is communicatively connected to the display device, and the processor is electrically connected to the transceiver and configured to receive an image signal through the transceiver, detect the image signal to determine whether a trigger event has occurred, and, in response to the occurrence of the trigger event, reduce brightness of an output image of the display device, and the display device generates the output image based on the image signal.

[0013] In one embodiment of the present invention, the processor inputs the image signal into a machine learning model to generate a detection result, and determines whether a trigger event has occurred based on the detection result.

[0014] In one embodiment of the present invention, the above-mentioned processor compares the average color parameters of the image signal with a threshold to generate a detection result, and determines whether a trigger event has occurred based on the detection result.

[0015] In one embodiment of the present invention, in response to the average color parameter exceeding a threshold, the processor generates a detection result indicating the occurrence of a trigger event.

[0016] In one embodiment of the present invention, the processor detects whether an application program is being executed, and in response to the application program being executed, the processor detects an image signal.

[0017] In one embodiment of the present invention, the above-mentioned processor performs object detection on the image signal to obtain a detection result, and senses the image signal based on the detection result.

[0018] In one embodiment of the present invention, the processor performs object detection using a region convolutional neural network, where the region convolutional neural network includes a region proposal network.

[0019] In one embodiment of the present invention, the processor detects the image signal to determine if the trigger event has ended, and in response to the trigger event ending, the processor stops suppressing the brightness of the output image.

[0020] A method for suppressing brightness of a display device of the present invention includes receiving an image signal, detecting the image signal to determine whether a trigger event has occurred, and suppressing brightness of an output image of the display device in response to the occurrence of the trigger event, wherein the display device generates an output image based on the image signal. [Effects of the Invention]

[0021] Based on the above, the device and method of the present invention can suppress the brightness of the display device when the display device displays a flashing visual effect, thereby reducing the negative impact of the flashing visual effect on the user. [Brief explanation of the drawings]

[0022] [Figure 1] 1 is a schematic diagram illustrating a display device according to an embodiment of the present invention. [Figure 2] 4 is a flowchart illustrating activation of a brightness suppression function of a display device according to an embodiment of the present invention. [Figure 3] 3A and 3B are schematic diagrams illustrating detection results of object detection according to an embodiment of the present invention. [Figure 4] 1 is a flowchart illustrating a brightness suppression function of a display device according to an embodiment of the present invention. [Figure 5] 4 is a schematic diagram illustrating the brightness of a display device when a trigger event occurs according to an embodiment of the present invention. [Figure 6] 1 is a schematic diagram illustrating an electronic device for suppressing brightness of a display device according to an embodiment of the present invention; [Figure 7] 4 is a flowchart illustrating activation of a brightness suppression function of a display device according to an embodiment of the present invention. [Figure 8] 1 is a flowchart illustrating a brightness suppression function of a display device according to an embodiment of the present invention. [Figure 9]3 is a flowchart illustrating a method for suppressing brightness of a display device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0023] 1 is a schematic diagram showing a display device according to an embodiment of the present invention. A user can activate or terminate various functions provided by the display device 100 by operating an on-screen display (OSD) interface provided by the display device 100. The display device 100 may include a display controller 110, a bridge chip 120, a processor 130, and a display module 140. The display controller 110 is, for example, a scaler. The processor 130 is, for example, an artificial intelligence chip.

[0024] The display controller 110 or the processor 130 may be, for example, a central processing unit (CPU) or other programmable general-purpose or special-purpose microcontrol unit (MCU), microprocessor, digital signal processor (DSP), programmable controller, application specific integrated circuit (ASIC), graphics processing unit (GPU), image signal processor (ISP), image processing unit (IPU), arithmetic logic unit (ALU), complex programmable logic device (CPLD), field programmable gate array (FPGA), or other similar or combination of the above elements. The display controller 110 may be electrically connected to the processor 130 and the display module 140. In one embodiment, the display controller 110 may further be electrically connected to a bridge chip 120. The display controller 110 may be configured to control the bridge chip 120 , the processor 130 or the display module 140 .

[0025] The display module 140 may include a liquid crystal display panel, a light-emitting diode (LED) display panel, a vacuum fluorescent display panel, a plasma display panel (PDP), an organic light-emitting diode (OLED) display panel, or a field-emission display panel.

[0026] The display device 100 may have a brightness suppression function that can suppress the brightness of the display device 100 when the display device 100 detects the occurrence of a trigger event (for example, a virtual character controlled by a user in a shooting game is hit by a flashbang attack such as the flashbang 300 shown in Figure 3).

[0027] In one embodiment, the display module 140 can output an on-screen display interface for user operation, and the processor 130 can activate the brightness reduction function of the display device 100 based on an operation command corresponding to the on-screen display interface.

[0028] In one embodiment, the processor 130 may perform object detection on an image signal acquired by the display device 100 to obtain a detection result, and determine whether to activate a brightness reduction function of the display device 100 based on the detection result. FIG. 2 is a flowchart illustrating activation of a brightness reduction function of a display device according to an embodiment of the present invention, and the flow of FIG. 2 may be applied to the display device 100. In step S201, the bridge chip 120 may receive an image signal. The image signal may include, for example, game graphics of a game application. Specifically, the bridge chip 120 may be, for example, an integrated circuit. The display device 100 may be communicatively connected to an external device (e.g., a personal computer or a game console) that runs a game application. The bridge chip 120 may receive an image signal from the external device.

[0029] In one embodiment, the bridge chip 120 may have a communication interface. The bridge chip 120 may be communicatively connected to an external device through the communication interface and may directly receive an image signal from the external device, such as signal S2 shown in FIG. 1. The communication interface of the bridge chip 120 may support communication protocols such as universal serial bus (USB), high definition multimedia interface (HDMI), or DisplayPort (DP).

[0030] In one embodiment, the display controller 110 may have a communication interface. The display controller 110 is communicatively connected to an external device through the communication interface and can receive an image signal from the external device, such as signal S1 shown in FIG. 1 . The communication interface of the display controller 110 may support communication protocols such as USB, HDMI, or DP. The display controller 110 can transfer the image signal to the bridge chip 120 through a DisplayPort output (DP out) function. That is, the bridge chip 120 can indirectly receive the image signal from the external device through the display controller 110.

[0031] In step S202, the processor 130 can receive an image signal from the bridge chip 120.

[0032] In steps S203 to S205, the processor 130 may use a machine learning model to perform object detection on the game screen and obtain a detection result. The machine learning model used by the processor 130 may include, for example, a region-based convolutional neural network (R-CNN). The processor 130 may train the machine learning model based on a plurality of training data. In one embodiment, the training data may include images of game screens or non-game screens and may include labels indicating whether the images belong to game screens or non-game screens. In one embodiment, the training data may include images showing or not showing virtual objects and may include labels indicating whether the images contain virtual objects.

[0033] Specifically, in step S203, the processor 130 may perform object detection on the image signal to obtain one or more candidate regions of interest (ROIs). The candidate regions may include, for example, virtual tools in a game application or points of view (POVs) of virtual characters. In one embodiment, the processor 130 may generate the one or more candidate regions through a region proposal network (RPN) included in a region convolutional neural network.

[0034] In step S204, the processor 130 performs positioning on the candidate region and may further obtain position information (eg, coordinates) of the candidate region.

[0035] In step S205, the processor 130 may detect an object in the candidate region and generate a detection result including a classification result and a bounding box of the object.

[0036] 3 is an example of a schematic diagram illustrating a detection result of object detection according to an embodiment of the present invention. The processor 130 can perform object detection on the game screen (or image signal) to detect a virtual tool 30 and generate a bounding box 31 corresponding to the virtual tool 30.

[0037] 2 again, in step S206, processor 130 may determine whether a specific virtual object (e.g., virtual object 30) or scene has been detected based on the detection result. If processor 130 determines that a specific virtual object or scene has been detected, in step S207, processor 130 may activate a brightness reduction function of display device 100. On the other hand, if processor 130 determines that a specific virtual object or scene has not been detected, processor 130 may re-execute step S201 after a certain period of time.

[0038] 4 is a flowchart showing the brightness reduction function of the display device according to an embodiment of the present invention, and the flow of FIG. 4 can be applied to the display device 100. In step S401, the processor 130 activates the brightness reduction function of the display device 100.

[0039] In step S402, processor 130 may start detecting an image signal received by bridge chip 120. Processor 130 may detect the image signal to generate a detection result and determine whether a trigger event has occurred based on the detection result. An example of a trigger event may include a virtual character controlled by a user in a game application being attacked by a flash grenade. If processor 130 determines that a trigger event has occurred, the process proceeds to step S403. If processor 130 determines that a trigger event has not occurred, processor 130 may re-execute step S402 after a certain period of time.

[0040] In one embodiment, processor 130 can input the image signal to a machine learning model to generate a detection result indicating whether a trigger event has occurred. Specifically, processor 130 can train the machine learning model based on a plurality of training data, where the machine learning model is, for example, a regional convolutional neural network. In one embodiment, the training data can include images of a virtual character in a shooting game that have been hit by a flashbang or not, and can include a label indicating whether the virtual character in the image has been hit by a flashbang or not.

[0041] In one embodiment, processor 130 may calculate average color parameters of the image signal, where the average color parameters may include, for example, an average of color parameters of one or more pixels (or one or more display regions) corresponding to the image signal. The color parameters may include, for example, RGB values. After obtaining the average color parameters of the image signal, processor 130 may compare the average color parameters with a threshold value to generate a detection result indicating whether a trigger event has occurred. For example, if the average color parameters of the image signal exceed the threshold value, processor 130 may generate a detection result indicating that a trigger event has occurred. If the average color parameters of the image signal are equal to or less than the threshold value, processor 130 may generate a detection result indicating that a trigger event has not occurred.

[0042] In step S403, the processor 130 may send a detection result indicating whether a trigger event has occurred to the display controller 110. The display controller 110 may reduce the brightness of the output image of the display module 140 based on the command, and the output image is generated by the display module 140 based on the image signal.

[0043] In step S404, processor 130 may detect the image signal and determine whether the trigger event has ended. If processor 130 determines that the trigger event has ended, it proceeds to step S405. If processor 130 determines that the trigger event has not yet ended, processor 130 may re-execute step S403 to continue reducing the brightness of the output image of display module 140.

[0044] In one embodiment, the processor 130 may input the image signal to a machine learning model to generate a detection result indicating whether the trigger event has occurred. Specifically, the processor 130 may train the machine learning model based on a plurality of training data, and the machine learning model may be, for example, a regional convolutional neural network. In one embodiment, the training data may include images of a virtual character in a shooting game that have been hit by a flashbang or not, and may include a label indicating whether the virtual character in the image has been hit by a flashbang or not.

[0045] In one embodiment, the processor 130 can compare the average color parameter with a threshold value to generate a detection result indicating whether the trigger event has ended. For example, if the average color parameter of the image signal is equal to or less than the threshold value, the processor 130 can generate a detection result indicating that the trigger event has already ended. If the average color parameter of the image signal exceeds the threshold value, the processor 130 can generate a detection result indicating that the trigger event has not yet ended.

[0046] In step S405, processor 130 can send a command to display controller 110. Display controller 110 can restore the brightness of the output image of display module 140 based on the command, i.e., display controller 110 can stop suppressing the brightness of the output image of display module 140 based on the command.

[0047] FIG. 5 is a schematic diagram showing the brightness of a display device when a trigger event occurs according to one embodiment of the present invention, where line 51 represents the brightness during the trigger event period of the display module 140 of the display device 100 when the brightness suppression function is not enabled, and line 52 represents the brightness during the trigger event period of the display module 140 of the display device 100 when the brightness suppression function is enabled.

[0048] Assume that a trigger event begins at time point T1 and ends at time point T3. Taking line 51 as an example, before time point T1, the brightness of the output image of the display module 140 is B1. After the trigger event occurs at time point T1, the brightness of the output image of the display module 140 increases significantly. For example, the brightness of the output image increases from brightness B1 to brightness B3 during the period from time point T1 to time point T2. Because the display device 100 does not enable the brightness suppression function, the brightness of the output image is not suppressed and remains at brightness B3 during the period from time point T2 to time point T3. A user of the display device 100 may be unable to timely control the virtual character in the game application program due to the high brightness B3, or may feel uncomfortable due to the high brightness B3. After the trigger event ends at time point T3, the brightness of the output image of the display module 140 returns from brightness B3 to brightness B1.

[0049] Taking line 52 as an example, before time point T1, the brightness of the output image of display module 140 is B1. After a trigger event occurs at time point T1, the brightness of the output image of display module 140 increases significantly. For example, the brightness of the output image increases from brightness B1 to brightness B3 during the period from time point T1 to time point T2. Because the display device 100 has a brightness suppression function enabled, the brightness of the output image is suppressed and reduced to brightness B2 during the period from time point T2 to time point T3. After the trigger event ends at time point T3, the brightness of the output image of display module 140 recovers from brightness B2 to brightness B1. In this example, brightness B2 is greater than brightness B1, but the present invention is not limited thereto. For example, brightness B2 may be equal to brightness B1.

[0050] The functions of the display device 100 may also be provided by an electronic device such as a personal computer or a tablet computer. Figure 6 is a schematic diagram illustrating an electronic device 600 for reducing brightness of a display device according to one embodiment of the present invention. The electronic device 600 may include a processor 610, a storage medium 620, and a transceiver 630.

[0051] The processor 610 may be, for example, a CPU, or other programmable general-purpose or special-purpose MCU, microprocessor, DSP, programmable display controller, ASIC, GPU, ISP, IPU, ALU, CPLD, FPGA, or other similar element or combination of the above elements. The processor 610 may be coupled to a storage medium 620 and a transceiver 630, and access and execute multiple modules and various application programs stored in the storage medium 620. The processor 610 may have the same structure or function as the display controller 110, the bridge chip 120, and / or the processor 130.

[0052] The storage medium 620 may be, for example, any form of fixed or portable random access memory (RAP), read-only memory (ROM), flash memory, hard disk drive (HDD), solid state drive (SSD), or similar element or combination of the above elements, and is used to store multiple modules or various application programs executable by the processor 610.

[0053] The transceiver 630 transmits or receives signals in a wireless or wired manner. The transceiver 630 may also perform operations such as low noise amplification, impedance matching, mixing, frequency up or down conversion, filtering, amplification, and the like.

[0054] 7 is a flowchart illustrating activation of a brightness reduction function of a display device according to an embodiment of the present invention, and the flow of FIG. 7 is applicable to electronic device 600. In step S701, processor 610 can receive a user command through transceiver 630 and execute the software program of the present invention.

[0055] In step S702, the user can connect the input and output ports of the display device (for example: display device 100) to the transceiver 630 of the electronic device 600, and the transceiver 630 can support communication protocols such as USB, HDMI or DP.

[0056] In step S703, the software program can detect the display content of the display device. If the software program does not detect the display content of the display device, it indicates that the display device and the electronic device 600 may not have successfully established a communication connection with each other. In this case, the software program can output a message through the transceiver 630 to instruct the user to re-execute step S702. If the software program successfully detects the display content of the display device, the program proceeds to step S704.

[0057] In step S704, the software program can receive an image signal from the display device through the transceiver 630, where the image signal can include a game screen of a game application. In one embodiment, when a game application is executed by the electronic device 600, the software program can also obtain the image signal directly from the game application executed by the processor 610.

[0058] In steps S705 to S707, the software program may use a machine learning model to perform object detection on the game screen and obtain a detection result. The machine learning model used by the software program may include, for example, R-CNN. Steps S705 to S707 are generally the same as steps S203 to S205 in FIG. 2, and therefore will not be described in detail.

[0059] In step S708, the processor 610 may determine whether a specific virtual object (e.g., virtual object 30) or scene has been detected based on the detection result. If the processor 610 determines that a specific virtual object or scene has been detected, the processor 610 may activate a brightness reduction function of the display device (e.g., display device 100) in step S709. On the other hand, if the processor 610 determines that a specific virtual object or scene has not been detected, the processor 610 may re-execute step S704 after a certain period of time.

[0060] In one embodiment, the processor 610 of the electronic device 600 can detect whether a particular application is running. For example, the processor 610 can detect whether the processor 610 is running a shooting game application. If the processor 610 detects that the particular application is running, the processor 610 can activate a brightness reduction function of the display device.

[0061] 8 is a flowchart illustrating a brightness reduction function of a display device according to an embodiment of the present invention, and the flow of FIG. 8 can be applied to the electronic device 600. In step S801, the electronic device 600 activates the brightness reduction function of the display device (e.g., the display device 100).

[0062] In step S802, the processor 610 may start detecting an image signal received by the transceiver 630. The processor 610 may detect the image signal to generate a detection result and determine whether a trigger event has occurred based on the detection result. The trigger event may include, for example, a flash grenade attack on a virtual character controlled by a user in a game application. If the processor 610 determines that a trigger event has occurred, the process proceeds to step S803. If the processor 610 determines that a trigger event has not occurred, the processor 610 may re-execute step S802 after a certain period of time.

[0063] In one embodiment, the processor 610 may input the image signal to a machine learning model to generate a detection result indicating whether a trigger event has occurred. Specifically, the processor 610 may train the machine learning model based on a plurality of training data, where the machine learning model is, for example, a regional convolutional neural network. In one embodiment, the training data may include images of a virtual character in a shooting game that have been hit by a flashbang or not, and may include a label indicating whether the virtual character in the image has been hit by a flashbang or not.

[0064] In one embodiment, the processor 610 can calculate average color parameters of the image signal, where the average color parameters include, for example, an average of color parameters corresponding to one or more pixels (or one or more display regions) of the image signal. The color parameters include, for example, RGB values. After obtaining the average color parameters of the image signal, the processor 610 can compare the average color parameters with a threshold value to generate a detection result indicating whether a trigger event has occurred or not. For example, if the average color parameters of the image signal exceed the threshold value, the processor 610 can generate a detection result indicating that a trigger event has occurred. If the average color parameters of the image signal are equal to or less than the threshold value, the processor 610 can generate a detection result indicating that a trigger event has not occurred.

[0065] In step S803, the processor 610 can suppress the brightness of the output image of the display device based on the detection result, where the output image is generated by the display device based on the image signal.

[0066] In step S804, the processor 610 may detect an image signal and determine whether the trigger event has ended. If the processor 610 determines that the trigger event has ended, the process proceeds to step S805. If the processor 610 determines that the trigger event has not yet ended, the processor 610 may re-execute step S803 to continue reducing the brightness of the output image of the display device.

[0067] In one embodiment, the processor 610 may input the image signal to a machine learning model to generate a detection result indicating whether a trigger event has occurred. Specifically, the processor 610 may train the machine learning model based on a plurality of training data, where the machine learning model is, for example, a regional convolutional neural network. In one embodiment, the training data may include images of a virtual character in a shooting game that have been hit by a flashbang or that have not been hit by a flashbang, and may include a label indicating whether the virtual character in the image has been hit by a flashbang or not.

[0068] In one embodiment, the processor 610 can compare the average color parameter with a threshold value to generate a detection result indicating whether the trigger event has ended. For example, if the average color parameter of the image signal is equal to or less than the threshold value, the processor 610 can generate a detection result indicating that the trigger event has already ended. If the average color parameter of the image signal exceeds the threshold value, the processor 610 can generate a detection result indicating that the trigger event has not yet ended.

[0069] In step S805, the processor 610 may restore the brightness of the output image of the output device, that is, the processor 610 may stop suppressing the brightness of the output image of the output device.

[0070] 9 is a flowchart illustrating a method for reducing brightness of a display device according to an embodiment of the present invention, which may be implemented by the display device 100 shown in FIG. 1 or the electronic device 600 shown in FIG. 6. In step S901, an image signal is received. In step S902, the image signal is detected to determine whether a trigger event has occurred. In step S903, in response to the occurrence of the trigger event, the brightness of an output image of the display device is reduced, and the display device generates the output image based on the image signal.

[0071] As described above, the device of the present invention can activate or terminate a function for reducing the brightness of the display device based on a user's operation command on the on-screen display interface or the result of image detection on the game screen. After the function is activated, the device can detect an image signal to determine whether a trigger event, such as a flash-bang attack, has occurred. If a trigger event occurs, the device reduces the brightness of the display device, thereby reducing the negative impact of the flashing visual effect on the user. [Industrial Applicability]

[0072] The method for suppressing the brightness of a display device can be applied to a display device of an electronic sports game. [Explanation of symbols]

[0073] 100:Display device 110: Display controller 120: Bridge chip 130, 610: Processor 140: Display module 30: Virtual Tools 300: Flashbang 31: Bounding box 51, 52: Line 600:Electronic equipment 620:Storage medium 630: Transceiver B1, B2, B3: Brightness S201, S202, S203, S204, S205, S206, S207, S401, S402, S403, S404, S405, S701, S702, S703, S704, S705, S706, S707, S708, S709, S801, S802, S803, S804, S805, S901, S902, S903: Steps T1, T2, T3: time points

Claims

1. A display module; a bridge chip for receiving an image signal; a processor electrically connected to the bridge chip; a display controller electrically connected to the processor and the display module; the processor detects the image signal to determine if a trigger event has occurred; In response to the occurrence of the trigger event, the display controller reduces brightness of an output image of the display module, and the display controller generates the output image based on the image signal.

2. The display device of claim 1 , wherein the processor inputs the image signal into a machine learning model to generate a detection result, and the processor determines whether the trigger event has occurred based on the detection result.

3. The display device according to claim 1 , wherein the processor compares the average color parameter of the image signal with a threshold to generate a detection result, and the processor determines whether the trigger event has occurred based on the detection result.

4. The display device of claim 3 , wherein the processor generates the detection result indicative of the occurrence of the trigger event in response to the average color parameter exceeding the threshold.

5. The display module outputs an on-screen display interface; The display device according to claim 1 , wherein the processor detects the image signal based on an operation command corresponding to the on-screen display interface.

6. The display device according to claim 1 , wherein the processor performs object detection on the image signal to obtain a detection result, and senses the image signal based on the detection result.

7. The display device of claim 6 , wherein the processor performs the object detection using a region convolutional neural network, the region convolutional neural network including a region proposal network.

8. the processor detects the image signal to determine if the trigger event has ended; The display device of claim 1 , wherein in response to the trigger event ending, the display controller stops reducing the brightness of the output image.

9. 1. An electronic device for reducing brightness of a display device, comprising: a transceiver communicatively coupled to the display device; a processor electrically connected to the transceiver; the processor receiving an image signal through the transceiver; detecting the image signal to determine whether a trigger event has occurred; and and in response to occurrence of the trigger event, suppressing a brightness of an output image of the display device, and the display device generating the output image based on the image signal. electronic equipment.

10. The electronic device of claim 9 , wherein the processor inputs the image signal into a machine learning model to generate a detection result, and determines whether the trigger event has occurred based on the detection result.

11. The electronic device of claim 9 , wherein the processor compares the average color parameters of the image signal with a threshold to generate a detection result, and determines whether the trigger event has occurred based on the detection result.

12. The electronic device of claim 11 , wherein the processor generates the detection result indicative of an occurrence of the trigger event in response to the average color parameter exceeding the threshold.

13. The processor detects whether an application program is being executed; 10. The electronic device of claim 9, wherein the processor detects the image signal in response to the application program being executed.

14. The electronic device of claim 9 , wherein the processor performs object detection on the image signal to obtain a detection result, and senses the image signal based on the detection result.

15. The electronic device of claim 14 , wherein the processor performs the object detection using a region convolutional neural network, the region convolutional neural network comprising a region proposal network.

16. the processor detects the image signal to determine if the trigger event has ended; The electronic device of claim 9 , wherein in response to the trigger event ending, the processor stops reducing the brightness of the output image.

17. receiving an image signal; detecting the image signal to determine whether a trigger event has occurred; suppressing brightness of an output image of a display device in response to occurrence of the trigger event; The display device generates the output image based on the image signal.

Images