WO2023065849A1 - Procédé et appareil de réglage de luminosité d'écran pour dispositif électronique, et dispositif électronique - Google Patents

Procédé et appareil de réglage de luminosité d'écran pour dispositif électronique, et dispositif électronique Download PDF

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Publication number
WO2023065849A1
WO2023065849A1 PCT/CN2022/116557 CN2022116557W WO2023065849A1 WO 2023065849 A1 WO2023065849 A1 WO 2023065849A1 CN 2022116557 W CN2022116557 W CN 2022116557W WO 2023065849 A1 WO2023065849 A1 WO 2023065849A1
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WIPO (PCT)
Prior art keywords
screen
gaze point
electronic device
face image
brightness
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PCT/CN2022/116557
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English (en)
Chinese (zh)
Inventor
孙哲
王征添
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Oppo广东移动通信有限公司
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Publication of WO2023065849A1 publication Critical patent/WO2023065849A1/fr

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10—Intensity circuits
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0626—Adjustment of display parameters for control of overall brightness
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/02—Details of power systems and of start or stop of display operation
    • G09G2330/021—Power management, e.g. power saving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to the technical field of electronic equipment, and more specifically, to a method and device for adjusting screen brightness of electronic equipment and electronic equipment.
  • the present application proposes a method and device for adjusting screen brightness of an electronic device, and an electronic device to solve the above problems.
  • the embodiment of the present application provides a method for adjusting screen brightness of an electronic device, which is applied to an electronic device.
  • the method includes: collecting a face image through a camera of the electronic device; processing the face image through a neural network model. face image to obtain the gaze point position of human eyes on the screen; based on the gaze point position and the distance between the gaze point position and the camera, determine whether the gaze point is located in the screen; when the When the gaze point is not within the screen, reduce the brightness of the screen.
  • the embodiment of the present application provides a device for adjusting screen brightness of an electronic device, which is applied to an electronic device, and the device includes: a face image acquisition module, configured to collect a face image through a camera of the electronic device;
  • the fixation point position acquisition module is used to process the human face image through the neural network model to obtain the fixation point position of the human eye on the screen;
  • the fixation point determination module is used for based on the fixation point position and the fixation point
  • the distance between the position and the camera is used to determine whether the gaze point is located within the screen;
  • the screen brightness reduction module is configured to reduce the brightness of the screen when the gaze point is not located within the screen.
  • the embodiment of the present application provides an electronic device, including a memory and a processor, the memory is coupled to the processor, the memory stores instructions, and when the instructions are executed by the processor, the The processor executes the above method.
  • the embodiment of the present application provides a computer-readable storage medium, where program code is stored in the computer-readable storage medium, and the program code can be invoked by a processor to execute the above method.
  • FIG. 1 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • Figure 2 shows a schematic diagram of the first scenario provided by the embodiment of the present application
  • FIG. 3 shows a schematic diagram of the second scenario provided by the embodiment of this application
  • FIG. 4 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • FIG. 5 shows a schematic diagram of a third scenario provided by the embodiment of the present application.
  • FIG. 6 shows a schematic diagram of a fourth scenario provided by the embodiment of the present application.
  • FIG. 7 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • FIG. 8 shows a schematic flowchart of step S350 of the method for adjusting screen brightness of an electronic device shown in FIG. 7 of the present application;
  • FIG. 9 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application.
  • FIG. 10 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • FIG. 11 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • FIG. 12 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application
  • FIG. 13 shows a block diagram of a device for adjusting screen brightness of an electronic device according to an embodiment of the present application
  • FIG. 14 shows a block diagram of an electronic device used to implement a method for adjusting screen brightness of an electronic device according to an embodiment of the present application
  • Fig. 15 shows a storage unit for storing or carrying program codes for implementing the method for adjusting screen brightness of an electronic device according to an embodiment of the present application according to an embodiment of the present application.
  • the user may manually adjust the brightness of the screen of the electronic device.
  • this adjustment method is cumbersome and the adjustment accuracy is low, which leads to the failure to reduce the power consumption of the electronic device and affects the user experience.
  • the inventor found after long-term research, and proposed the screen brightness adjustment method, device and electronic equipment of the electronic equipment provided in the embodiment of the present application, which judges and detects the position of the fixation point through the detection model, and according to the fixation point The location controls the brightness of the screen, thereby reducing the power consumption of electronic devices and improving the intelligent perception interaction experience.
  • a specific method for adjusting screen brightness of an electronic device will be described in detail in subsequent embodiments.
  • FIG. 1 shows a schematic flowchart of a method for adjusting screen brightness of an electronic device according to an embodiment of the present application.
  • the method is used to judge and detect the gaze point position through the neural network model, and according to the gaze point position and the distance between the gaze point position and the camera, it is determined that the gaze point is not located in the screen and the screen brightness is lowered, thereby reducing the power of the electronic device. consumption, and improve the intelligent perception interaction experience.
  • the method for adjusting screen brightness of an electronic device is applied to a screen brightness adjusting device 200 of an electronic device as shown in FIG. 13 and an electronic device 100 equipped with the screen brightness adjusting device 200 of an electronic device ( FIG. 14 .
  • the electronic device applied in this embodiment may be a smart phone, a tablet computer, a wearable electronic device, etc., which is not limited here.
  • the electronic device includes a camera and a screen.
  • the process shown in FIG. 1 will be described in detail below.
  • the screen brightness adjustment method of the electronic device may specifically include the following steps:
  • Step S110 collecting face images through the camera of the electronic device.
  • the electronic device may include a camera, and image collection may be performed through the camera.
  • image collection may be performed through the camera.
  • the camera may be a front camera, a rear camera, or a rotating camera, etc., which is not limited herein.
  • the camera can be an always-on device built into the electronic device, wherein the always-on device can be a low-power image acquisition device and a sound acquisition device that can be kept always on.
  • the camera can be controlled to collect face images in real time; the camera can be controlled to collect face images at preset time intervals; the camera can be controlled to collect face images at preset time points; the camera can be controlled to collect face images based on operations command to collect face images; the camera can be controlled to collect face images according to other preset rules, which are not limited here.
  • the camera can be controlled to collect face images.
  • Step S120 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • a neural network model can be obtained in advance, and the neural network model can be used for gaze point position detection.
  • the face image can be input into the neural network model to obtain information output by the neural network model.
  • the neural network model may be stored on the electronic device after being trained by the electronic device, or may be stored on the electronic device after being trained by other devices or servers, which is not limited herein.
  • the neural network model in the case where the neural network model is stored locally on the electronic device, after the face image is obtained, the neural network model can be directly called locally on the electronic device, for example, an instruction can be directly sent to the neural network model to instruct
  • the neural network model reads the face image in the target storage area, or the electronic device can directly input the face image into the local neural network model, thereby effectively avoiding the reduction of the face image input neural network model due to the influence of network factors The speed to improve the speed of the neural network model to obtain face images and improve user experience.
  • the neural network model may be stored in the server after being trained by the electronic device, or may be stored in the server after being trained by other devices or servers, which is not limited here.
  • an instruction can be sent to the neural network model stored in the server through the network, to instruct the neural network model to read the camera information of the electronic device through the network.
  • the collected face image, or the electronic device can send the face image to the neural network model stored in the server through the network, so that by storing the neural network model in the server, the occupation of the storage space of the electronic device is reduced, and the Effects on the normal operation of electronic equipment.
  • the neural network model can be used for gaze point position detection. Therefore, when the neural network model detects that the human face image includes an eye image, the information output by the neural network model may include the gaze point position of the eyeball, which will not be repeated here.
  • Step S130 Based on the gaze point position and the distance between the gaze point position and the camera, determine whether the gaze point is located within the screen.
  • the information output by the neural network model when it is determined that the information output by the neural network model includes the gaze point position of the eyeball, it may be determined whether the gaze point is within the screen based on the gaze point position and the distance between the gaze point position and the camera. For example, when the position of the gaze point is within the corresponding position area of the screen, it can be determined that the gaze point is located within the screen; when the position of the gaze point is not within the corresponding position area of the screen, it can be determined that the gaze point is not located within the screen.
  • Step S140 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • controlling the brightness of the screen may include one of the following: increasing the brightness of the screen, maintaining the brightness of the screen, or reducing the brightness of the screen.
  • reducing the brightness of the screen may include turning off the brightness of the screen.
  • the brightness of the screen when it is determined that the point of gaze is not located on the screen, the brightness of the screen can be reduced, so that when it is determined that the user does not pay attention to the content displayed on the screen of the electronic device, the brightness of the electronic device can be reduced by reducing the brightness of the screen. power consumption.
  • the electronic device can preset and store the position of the camera. When the information output by the neural network model includes the gaze point position of the eyeball, the distance between the gaze point position and the camera can be obtained, and based on the The gaze point position and the distance between the gaze point position and the camera. When it is determined that the gaze point is not within the screen of the electronic device, the brightness of the screen is lowered.
  • FIG. 2 shows a schematic diagram of a first scenario provided by an embodiment of the present application.
  • the user holds the electronic device 100.
  • the electronic device 100 is in a vertical display state, and the user's gaze point is not on the screen.
  • the brightness of the screen can be reduced or the screen can be turned off.
  • FIG. 3 shows a schematic diagram of a second scenario provided by the embodiment of the present application.
  • the user holds the electronic device 100.
  • the electronic device 100 is in a landscape display state, and the user's gaze point is not on the screen.
  • the brightness of the screen can be reduced or the screen can be turned off.
  • the method for adjusting the screen brightness of an electronic device collects a face image through a camera of the electronic device, processes the face image through a neural network model to obtain the fixation point position of the human eye on the screen, based on the fixation point position and The distance between the gaze point position and the camera determines whether the gaze point is within the screen.
  • the gaze point is not within the screen, lower the brightness of the screen to judge and detect the gaze point position through the neural network model, and according to the gaze point position and The distance between the position of the gaze point and the camera is determined to reduce the brightness of the screen when the gaze point is not located on the screen, thereby reducing the power consumption of electronic devices and improving the intelligent perception interaction experience.
  • FIG. 4 shows a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the method for adjusting the screen brightness of the device may specifically include the following steps:
  • Step S210 collecting face images through the camera of the electronic device.
  • Step S220 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • Step S230 Based on the gaze point position and the distance between the gaze point position and the camera, determine whether the gaze point is located within the screen.
  • Step S240 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • step S210-step S240 please refer to step S110-step S140, which will not be repeated here.
  • Step S250 When the gaze point is located in the screen, maintain the current brightness of the screen.
  • the brightness of the screen can be increased or the current brightness of the screen can be maintained, so as to meet the content viewing needs of the user.
  • FIG. 5 shows a schematic diagram of a third scenario provided by the embodiment of the present application.
  • the user holds the electronic device 100.
  • the electronic device 100 is in a vertical display state, and the user's gaze point is on the screen.
  • the brightness of the screen can be increased or maintained.
  • FIG. 6 shows a schematic diagram of a fourth scenario provided by the embodiment of the present application.
  • the user holds the electronic device 100.
  • the electronic device 100 is in a landscape display state, and the user's gaze point is on the screen.
  • the brightness of the screen can be increased or maintained.
  • the screen brightness adjustment method of an electronic device Compared with the screen brightness adjustment method shown in FIG. 1 , the screen brightness adjustment method of an electronic device provided by an embodiment of the present application maintains the current brightness of the screen when the gaze point is located on the screen, so as to improve the user's brightness. Use experience.
  • FIG. 7 shows a method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the method for adjusting the screen brightness of the device may specifically include the following steps:
  • Step S310 collecting face images through the camera of the electronic device.
  • Step S320 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • Step S330 Based on the gaze point position and the distance between the gaze point position and the camera, determine whether the gaze point is located within the screen.
  • step S310-step S330 please refer to step S110-step S130, which will not be repeated here.
  • Step S340 When the gaze point is not located in the screen, determine the operation mode of the electronic device.
  • the operation mode of the electronic device may include a smart screen-off mode or a non-smart screen-off mode.
  • the electronic device in the smart off-screen mode, can automatically adjust the brightness of the screen according to the needs of the user, such as increasing the brightness of the screen or reducing the brightness of the screen.
  • the electronic device in the non-intelligent off-screen mode, can automatically control the screen to turn off or turn on the screen according to the user's needs, such as keeping the screen on or controlling the screen to turn off.
  • the operation mode of the electronic device can be determined, that is, it can be determined whether the operation mode of the electronic device is a smart off-screen mode or a non-smart off-screen mode.
  • the brightness of the screen when the operating mode of the electronic device is the smart screen-off mode, if it is determined that the gaze point is not located within the screen, the brightness of the screen may be controlled in a first manner.
  • the operation mode of the electronic device is the non-smart screen-off mode, if it is determined that the gaze point is not located in the screen, the brightness of the screen may be controlled in a second manner. Wherein, the first manner is different from the second manner.
  • an electronic device can obtain its operating mode.
  • the electronic device may be provided with a target switch, and the target switch is used to control the electronic device to switch between the smart screen-off mode and the non-smart screen-off mode.
  • the target switch is used to control the electronic device to switch between the smart screen-off mode and the non-smart screen-off mode.
  • the target switch may be in an on state or an off state based on a touch operation acting on the screen.
  • an electronic device can obtain its operating mode. For example, the automatic off-screen duration set by the electronic device can be obtained. When the automatic off-screen duration is greater than or equal to the duration threshold, it can be determined that the electronic device is operating in the smart off-screen mode. When the automatic off-screen duration is less than the duration threshold , it can be determined that the electronic device is operating in a non-smart screen-off mode. For example, the duration threshold is 1 minute, 2 minutes, etc. Among them, the automatic off-screen duration is used to represent the duration of the electronic device entering the off-screen without any operation when the screen is on.
  • the automatic off-screen duration set by the electronic device is less than the duration threshold, it can be considered that the electronic device enters the off-screen from the bright screen. If the duration of the electronic device is short and will not cause excessive power consumption of the electronic device, you can set a non-smart off-screen mode; If the screen lasts for a long time, it will cause excessive power consumption of electronic equipment, so you can set the smart off-screen mode.
  • Step S350 Decrease the brightness of the screen according to the operation mode.
  • the brightness of the screen can be adjusted down based on the operation mode. For example, when it is determined that the operating mode of the electronic device is the smart screen-off mode, the brightness of the screen can be reduced in the first way; screen brightness.
  • FIG. 8 shows a schematic flowchart of step S350 of the method for adjusting screen brightness of an electronic device shown in FIG. 7 of the present application.
  • the process shown in Figure 8 will be described in detail below, and the method may specifically include the following steps:
  • Step S351 When the operation mode is the smart screen-off mode, reduce the brightness of the screen.
  • the electronic device operates in a non-smart screen-off mode.
  • the operating mode of the electronic device is the smart off-screen mode
  • the point of gaze is not located on the screen
  • the user can lower the The brightness of the screen can reduce the power consumption of the electronic device, and at the same time, keep the display of the electronic device at a low brightness, so as to avoid the loss and power consumption caused by switching the screen multiple times.
  • the screen after reducing the brightness of the screen, if it is determined that the gaze point is not on the screen within the preset time period, the screen will be turned off; increase the screen brightness.
  • the position of the gaze point can be continuously detected within a preset period of time, the position of the gaze point and the distance between the position of the gaze point and the camera can be obtained, and it can be judged whether the gaze point is within the screen,
  • the preset duration represents the duration from the current time to the set off-screen time.
  • the point of gaze when it is determined within the preset duration that the point of gaze is switched from not being on the screen to being on the screen, it can be considered that the user switches from not watching the content displayed on the screen to watching the screen before the current time reaches the set off-screen time.
  • the content displayed on the screen can be adjusted to increase the brightness of the screen.
  • Step S352 When the operation mode is the non-smart off-screen mode, turn off the screen.
  • the operating mode of the electronic device is the non-smart off-screen mode
  • the method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application, compared with the method for adjusting the screen brightness of an electronic device shown in FIG. 1 , this embodiment also determines the operating mode of the electronic device, and adjusts the The brightness of the screen of the electronic device is improved, thereby improving the diversity and rationality of screen brightness adjustment.
  • FIG. 9 shows a method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the gaze point position includes the gaze point in the target coordinate system
  • the coordinate information of the target coordinate system is established with the center position of the camera as the origin.
  • the process shown in FIG. 9 will be described in detail below.
  • the method for adjusting the screen brightness of the electronic device may specifically include the following steps:
  • Step S410 collecting face images through the camera of the electronic device.
  • Step S420 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • step S410-step S420 please refer to step S110-step S120, which will not be repeated here.
  • Step S430 Obtain the distance between the gaze point position and the camera based on the coordinate information.
  • the electronic device may preliminarily establish a coordinate system with the center of the camera as the origin as the target coordinate system.
  • the electronic device may pre-establish a coordinate system with the center of the camera as the origin, with the vertical axis of the electronic device as the X axis, and with the horizontal axis of the electronic device as the Y axis, as the target coordinate system.
  • the electronic device may pre-establish a coordinate system with the center of the camera as the origin, with the horizontal axis of the electronic device as the X axis, and with the vertical axis of the electronic device as the Y axis, as the target coordinate system.
  • the gaze point position output by the neural network model can be the coordinate information of the gaze point in the target coordinate system. Therefore, when obtaining the gaze point position output by the neural network model, the gaze point position can be obtained at the Coordinate information in the target coordinate system.
  • the coordinate range of the screen of the electronic device under the target coordinate system may be determined and the coordinate information of each position on the screen under the target coordinate system may be determined. Therefore, in this embodiment, after obtaining the coordinate information of the gaze point position in the target coordinate system, the coordinate information of the gaze point position in the target coordinate system can be compared with the coordinate range to determine that the gaze point position is within the target coordinate system. Whether the coordinate information in the coordinate system is within the coordinate range. Wherein, when it is determined that the coordinate information of the gaze point position in the target coordinate system is within the coordinate range, it can be determined that the gaze point position is on the screen, and the brightness of the screen can be maintained or increased. Wherein, when it is determined that the coordinate information of the gaze point position in the target coordinate system is not within the coordinate range, it can be determined that the gaze point position is not on the screen, and then the brightness of the screen can be reduced or the screen can be turned off.
  • the coordinate information of the camera can be (0, 0) by default. Therefore, after obtaining the coordinate information corresponding to the gaze point position, it can be based on this The coordinate information determines the distance of the gaze point position from the camera.
  • Step S440 Determine whether the gaze point is located within the screen based on the distance between the gaze point position and the camera.
  • the gaze point position and the camera after obtaining the distance between the gaze point position and the camera, it may be determined whether the gaze point is within the screen based on the distance between the gaze point position and the camera.
  • Step S450 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • step S450 please refer to step S140, which will not be repeated here.
  • the coordinate information in the target coordinate system based on the coordinate information, obtains the distance between the gaze point position and the camera, and based on the distance between the gaze point position and the camera, determines whether the gaze point is within the screen, thereby improving the accuracy of determining the relationship between the gaze point position and the screen sex.
  • FIG. 10 shows a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the method for adjusting the screen brightness of the device may specifically include the following steps:
  • Step S510 collecting face images through the camera of the electronic device.
  • Step S520 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • step S510-step S520 please refer to step S110-step S120, which will not be repeated here.
  • Step S530 Based on the gaze point position and the camera position, obtain the relative distance and relative direction between the gaze point position and the camera position.
  • the electronic device can preset and store the position of the camera.
  • the position of the gaze point can be obtained based on the position of the gaze point and the position of the camera. The relative distance and relative direction from the position of the camera.
  • the electronic device can pre-set and store the coordinate information of the center of the camera.
  • the real physical distance represented by a single screen pixel can be converted , to calculate the distance from the gaze point position to the center of the camera as the relative distance between the gaze point position and the camera position.
  • the electronic device can be preset and stored with the coordinate information of the center of the camera.
  • the information output by the neural network model includes the coordinate information of the gaze point position of the eyeball, it can be based on the coordinate information of the camera center and the gaze point position.
  • the coordinate information of the gaze point position and the direction of the center of the camera are determined as the relative direction between the gaze point position and the position of the camera.
  • Step S540 Based on the relative distance and the relative direction, determine whether the gaze point is located within the screen.
  • the gaze point after obtaining the relative distance and relative direction between the position of the gaze point and the position of the camera, it may be determined based on the relative distance and relative direction whether the gaze point is located within the screen.
  • the camera is set at the top of the screen, when the relative direction of the gaze point relative to the position of the camera is from the top of the screen to the bottom of the screen, and the relative distance is L1. If the length of the screen of the electronic device is L2, and L2>L1, it can be determined that the gaze point is located within the screen. If the length of the screen of the electronic device is L3, and L1>L3, it can be determined that the gaze point is not located within the screen.
  • the camera is set at the top of the screen, and when the relative direction of the position of the gaze point relative to the position of the camera is from the bottom of the screen to the top of the screen, it can be determined that the gaze point is not located in the screen.
  • Step S550 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • step S550 for the specific description of step S550, please refer to step S140, which will not be repeated here.
  • the method for adjusting the screen brightness of an electronic device is also based on the position of the point of gaze and the position of the camera to obtain the position of the point of gaze and the position of the camera.
  • the relative distance and relative direction of the location determine whether the gaze point is within the screen, thereby improving the accuracy of determining the relationship between the gaze point position and the screen.
  • FIG. 11 shows a method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the process shown in FIG. The method for adjusting the screen brightness of the device may specifically include the following steps:
  • Step S610 collecting face images through the camera of the electronic device.
  • step S610 for the specific description of step S610, please refer to step S110, which will not be repeated here.
  • Step S620 When there are multiple facial images collected by the camera, the facial image with the largest area among the multiple facial images is used as the target facial image.
  • the neural network model includes a face detection model and a gaze point detection model to detect whether the image collected by the camera includes a face image.
  • the input of the face detection model can be the image collected by the camera (hereinafter referred to as the image to be detected)
  • the output of the face detection model can be used as the input of the gaze point detection model
  • the gaze point detection model can be based on the input and output Gaze point location.
  • the image to be detected can be input into the face detection model, so as to detect whether the image to be detected includes a face image through the face detection model, and obtain the face detection model.
  • the information output by the face detection model may include one of the following: including a face image and not including a face image.
  • the gaze point detection model may not be invoked, and the brightness of the screen of the electronic device may be directly reduced or the screen may be turned off.
  • the gaze point detection model can be called, and the face image can be input into the gaze point detection model to determine the gaze point position through the gaze point detection model. detection.
  • the information center output by the face detection model includes a face image may include one of the following: including a face image and including an eye image in the face image; including a face image and not including an eye image in the face image .
  • the information input by the face detection model based on the image to be detected may include a face image and the face image may include an eye image.
  • the information input by the face detection model based on the image to be detected may include a face image and the face image does not include an eye image.
  • the gaze point detection model can no longer be called, and the brightness of the screen of the electronic device can be directly reduced or the control The screen goes off.
  • the gaze point detection model can be called, and the face image can be input into the gaze point detection model to pass The gaze detection model performs gaze location detection.
  • the image to be detected can be input into the face detection model, and the face detection model can detect the image to be detected, and detect the face frame in the image to be detected position and the position of multiple key points (such as the position of the center of the two eyes, the position of the center of the nose, and the position of the two corners of the mouth, etc.), and then extract the face image and eye image from the image to be detected and generate a representation of the face position mask.
  • the face detection model can detect the image to be detected, and detect the face frame in the image to be detected position and the position of multiple key points (such as the position of the center of the two eyes, the position of the center of the nose, and the position of the two corners of the mouth, etc.), and then extract the face image and eye image from the image to be detected and generate a representation of the face position mask.
  • the face image when it is determined that the information output by the face detection model includes a face image, the face image may be input into the gaze point detection model to obtain information output by the gaze point detection model.
  • the information output by the gaze point detection model may include one of the following: a gaze point position is detected, and a gaze point position is not detected.
  • the face image output by the face detection model is a side face image (not including the eye image)
  • the gaze point detection model is based on the information output by the face image for not detecting the gaze point position, then It is possible to directly reduce the brightness of the screen of the electronic device or control the screen to turn off.
  • the face image output by the face detection model when the face image output by the face detection model is a frontal face image (including an eye image), the brightness of the screen can be controlled based on the gaze point position.
  • the face image after obtaining the face image output by the face detection model, it may be determined whether the face image satisfies a preset face condition.
  • the face image can be input into the gaze point detection model; when it is judged that the face image does not meet the preset face condition, the face image can not be Input the gaze point detection model, and directly reduce the brightness of the screen of the electronic device or control the screen to turn off.
  • the preset face condition can be a complete face, that is, when the face image includes a complete face, it can be determined that the face image meets the preset face condition, and when the face image contains If the complete face is not included, it can be determined that the face image does not satisfy the preset face condition.
  • the camera may capture multiple faces at the same time during the image collection process, that is, the acquired image to be detected may also include multiple faces. Therefore, the neural network model is based on the output information of the image to be detected. May include multiple face images.
  • the one face image may be directly input into the gaze point detection model.
  • the face image of the user corresponding to the electronic device may be determined from the multiple face images as the target face image, and the The determined target face image is input into the neural network model.
  • the face image with the largest area may be selected from the multiple face images as the target face image.
  • the frontmost face image may be selected from the multiple face images as the target face image.
  • the face image matching the preset face image can be selected from the multiple face images as the target face image.
  • Step S630 Process the target face image through the neural network model to obtain the gaze point of human eyes on the screen.
  • the target face image when it is determined that the target face image should be selected from the plurality of face images, the target face image is processed through the neural network model to obtain the fixation point position of the human eye on the screen.
  • Step S640 Based on the gaze point position and the distance between the gaze point position and the camera, determine whether the gaze point is located within the screen.
  • Step S650 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • step S640-step S650 please refer to step S130-step S140, which will not be repeated here.
  • the method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application is compared with the method for adjusting the screen brightness of an electronic device shown in FIG.
  • the face image with the largest area in the face image is used as the target face image, and the target face image is processed through the neural network model to obtain the position of the fixation point of the face on the screen, so as to improve the accuracy of determining the fixation point of the face.
  • FIG. 12 shows a method for adjusting screen brightness of an electronic device provided by an embodiment of the present application. This method is applied to the above-mentioned electronic device.
  • the process shown in FIG. The method for adjusting the screen brightness of the device may specifically include the following steps:
  • Step S710 Obtain a training data set, wherein the training data set includes a plurality of training images and gaze point positions corresponding to the plurality of training images.
  • a training data set can be obtained.
  • the training data set includes a plurality of training images and a plurality of fixation point positions, wherein a plurality of training images and a plurality of fixation point positions correspond one-to-one, that is, each training image in the plurality of training images corresponds to a plurality of fixation points A fixation position in position.
  • the multiple training images can be obtained by the camera of the electronic device, can be obtained by the local storage of the electronic device, can be obtained by the electronic device from other devices, or can be obtained by the electronic device from a server. Do limited.
  • the multiple gaze point positions may be manually marked on the training image by the user, or automatically marked on the training image by the electronic device, which is not limited here.
  • a label frame for identifying the position of the gaze point can be added to the training image to form a label image with a label frame, or the training image can be marked in the form of an xml format file, which is not limited here.
  • Step S720 Based on the plurality of training images and gaze point positions corresponding to the plurality of training images, train a preset model to obtain a neural network model.
  • the preset model can be trained to obtain the gaze point detection model based on the training data set.
  • the preset model can be trained based on the multiple training images and the respective gaze point positions corresponding to the multiple training images Get the gaze detection model. For example, after obtaining multiple training images and multiple gaze point positions in one-to-one correspondence, multiple training images can be used as input parameters, and multiple gaze point positions can be used as output parameters to train the preset model to obtain a neural network model .
  • the preset model may be a convolutional neural network.
  • Step S730 collecting face images through the camera of the electronic device.
  • Step S740 Processing the face image through a neural network model to obtain gaze points of human eyes on the screen.
  • Step S750 Determine whether the gaze point is located within the screen based on the gaze point position and the distance between the gaze point position and the camera.
  • Step S760 Decrease the brightness of the screen when the gaze point is not located in the screen.
  • step S730-step S760 please refer to step S110-step S140, which will not be repeated here.
  • the method for adjusting the screen brightness of an electronic device provided by an embodiment of the present application also acquires a training data set based on multiple training images and The gaze point positions corresponding to multiple training images are used to train the preset model to obtain a neural network model to improve the accuracy of model recognition.
  • FIG. 13 shows a device for adjusting screen brightness of an electronic device provided by the present application.
  • the screen brightness adjustment device 200 of the electronic equipment includes: a human face image acquisition module 210, a fixation point position acquisition module 220, a fixation point determination module 230 and a screen brightness reduction module 240, wherein:
  • the facial image acquisition module 210 is configured to acquire facial images through the camera of the electronic device.
  • the gaze point position obtaining module 220 is configured to process the face image through a neural network model to obtain the gaze point position of human eyes on the screen.
  • the gaze point position acquisition module 220 includes: a target face image determination submodule and a gaze point position acquisition submodule, wherein:
  • the target human face image determination sub-module is used for taking the human face image with the largest area among the multiple human face images as the target human face image when there are multiple human face images collected by the camera.
  • the gaze point position obtaining submodule is used to process the target face image through the neural network model to obtain the gaze point position of human eyes on the screen.
  • the gaze point determination module 230 is configured to determine whether the gaze point is located within the screen based on the gaze point position and the distance between the gaze point position and the camera.
  • the gaze point position includes coordinate information of the gaze point in a target coordinate system, and the target coordinate system is established with the center position of the camera as the origin, and the gaze point determination module 230 includes: a distance acquisition sub- module and the first fixation point determination submodule, wherein:
  • the distance acquisition submodule is configured to acquire the distance between the gaze point position and the camera based on the coordinate information.
  • the first gaze point determining submodule is configured to determine whether the gaze point is located within the screen based on the distance between the gaze point position and the camera.
  • the gaze point determination module 230 includes: a relative relationship acquisition submodule and a second gaze point determination submodule, wherein:
  • the relative relationship acquisition submodule is configured to acquire the relative distance and direction between the gaze point position and the camera position based on the gaze point position and the camera position.
  • the second gaze point determination submodule is configured to determine whether the gaze point is located within the screen based on the relative distance and the relative direction.
  • the screen brightness reduction module 240 is configured to reduce the screen brightness when the gaze point is not located in the screen.
  • the screen brightness reduction module 240 includes: an operating mode determination sub-module and a screen brightness reduction sub-module, wherein:
  • the operation mode determination submodule is used to determine the operation mode of the electronic device.
  • the screen brightness reduction sub-module is used for reducing the screen brightness according to the operation mode.
  • the screen brightness reduction sub-module includes: a screen brightness reduction unit and a screen extinguishing unit, wherein:
  • the screen brightness reduction unit is configured to reduce the screen brightness when the operation mode is the smart off-screen mode.
  • a screen extinguishing unit configured to extinguish the screen when the operating mode is a non-intelligent off-screen mode.
  • the screen brightness reduction sub-module includes: an automatic off-screen duration acquisition unit, an intelligent off-screen mode determination unit, and a non-intelligent off-screen mode determination unit, wherein:
  • the automatic off-screen duration acquisition unit is configured to acquire the automatic off-screen duration set by the electronic device.
  • the smart screen-off mode determination unit is configured to determine that the electronic device's operating mode is the smart screen-off mode when the automatic screen-off duration is greater than or equal to a duration threshold.
  • the non-smart screen-off mode determination unit is configured to determine that the electronic device is in the non-smart screen-off mode when the automatic screen-off duration is less than the duration threshold.
  • the screen brightness adjusting device 200 of the electronic device also includes: a screen brightness maintaining module, wherein:
  • the screen brightness maintaining module is used for maintaining the current brightness of the screen when the gaze point is located in the screen.
  • the screen brightness adjusting device 200 of the electronic device also includes: a screen extinguishing module and a screen brightness increasing module, wherein:
  • a screen extinguishing module configured to extinguish the screen when it is determined that the gaze point is not within the screen for a predetermined period of time.
  • a screen brightness increasing module configured to increase the screen brightness when it is determined within the preset duration that the gaze point is switched from not being in the screen to being in the screen.
  • the screen brightness adjustment device 200 of the electronic device also includes: a training data set acquisition module and a model training module, wherein:
  • the training data set acquisition module is configured to acquire a training data set, wherein the training data set includes a plurality of training images and gaze point positions corresponding to the plurality of training images.
  • a model training module configured to train a preset model to obtain a neural network model based on the plurality of training images and gaze point positions corresponding to the plurality of training images.
  • the coupling between the modules may be electrical, mechanical or other forms of coupling.
  • each functional module in each embodiment of the present application may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules.
  • FIG. 14 shows a structural block diagram of an electronic device 100 provided by an embodiment of the present application.
  • the electronic device 100 may be an electronic device capable of running application programs, such as a smart phone, a tablet computer, and an e-book.
  • the electronic device 100 in this application may include one or more of the following components: a processor 110, a memory 120, and one or more application programs, wherein one or more application programs may be stored in the memory 120 and configured to be executed by a or a plurality of processors 110, and one or more programs are configured to execute the methods described in the foregoing method embodiments.
  • the processor 110 may include one or more processing cores.
  • the processor 110 uses various interfaces and lines to connect various parts of the entire electronic device 100, and executes or executes instructions, programs, code sets or instruction sets stored in the memory 120, and calls data stored in the memory 120 to execute Various functions of the electronic device 100 and processing data.
  • the processor 110 may adopt at least one of Digital Signal Processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable Logic Array, PLA). implemented in the form of hardware.
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PLA Programmable Logic Array
  • the processor 110 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), a modem, and the like.
  • CPU Central Processing Unit
  • GPU Graphics Processing Unit
  • the CPU mainly handles the operating system, user interface and application programs, etc.
  • the GPU is used to render and draw the content to be displayed
  • the modem is used to handle wireless communication. It can be understood that, the above-mentioned modem may not be integrated into the processor 110, but may be realized by a communication chip alone.
  • the memory 120 may include random access memory (Random Access Memory, RAM), and may also include read-only memory (Read-Only Memory).
  • the memory 120 may be used to store instructions, programs, codes, sets of codes, or sets of instructions.
  • the memory 120 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system and instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.) , instructions for implementing the following method embodiments, and the like.
  • the storage data area can also store data created during use of the electronic device 100 (such as phonebook, audio and video data, chat record data) and the like.
  • FIG. 15 shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application.
  • Program codes are stored in the computer-readable medium 300, and the program codes can be invoked by a processor to execute the methods described in the foregoing method embodiments.
  • the computer readable storage medium 300 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • the computer-readable storage medium 300 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium).
  • the computer-readable storage medium 300 has a storage space for program code 310 for executing any method steps in the above methods. These program codes can be read from or written into one or more computer program products.
  • Program code 310 may, for example, be compressed in a suitable form.
  • the method and device for adjusting the screen brightness of an electronic device and the electronic device collect face images through the camera of the electronic device, and process the face images through a neural network model to obtain the brightness of the human eyes on the screen.
  • the gaze point position based on the gaze point position and the distance between the gaze point position and the camera, determines whether the gaze point is located on the screen. When the gaze point is not located on the screen, lower the brightness of the screen, so as to judge the gaze point position through the neural network model And detection, and according to the gaze point position and the distance between the gaze point position and the camera, it is determined that the gaze point is not located in the screen and the screen brightness is reduced, thereby reducing the power consumption of electronic devices and improving the intelligent perception interaction experience.

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Abstract

Procédé et appareil de réglage de luminosité d'écran pour un dispositif électronique, et dispositif électronique. Le procédé de réglage de luminosité d'écran consiste : à collecter une image faciale au moyen d'un appareil de prise de vues d'un dispositif électronique (S110) ; à traiter l'image faciale au moyen d'un modèle de réseau neuronal, de façon à acquérir une position de point de fixation des yeux humains sur un écran (S120) ; sur la base de la position de point de fixation et de la distance entre la position de point de fixation et l'appareil de prise de vues, à déterminer si un point de fixation est situé à l'intérieur de l'écran (S130) ; et lorsque le point de fixation n'est pas situé à l'intérieur de l'écran, à baisser la luminosité de l'écran (S140). Une position de point de fixation est déterminée et détectée au moyen d'un modèle de réseau neuronal, et lorsqu'il est déterminé, selon la position de point de fixation et la distance entre la position de point de fixation et un appareil de prise de vues, qu'un point de fixation n'est pas situé à l'intérieur d'un écran, la luminosité de l'écran est baissée, ce qui permet de réduire la consommation d'énergie d'un dispositif électronique, et d'améliorer l'expérience d'interaction perceptuelle intelligente.
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