WO2023225967A1 - 防窥提示方法、装置、电子设备及存储介质 - Google Patents

防窥提示方法、装置、电子设备及存储介质 Download PDF

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Publication number
WO2023225967A1
WO2023225967A1 PCT/CN2022/095387 CN2022095387W WO2023225967A1 WO 2023225967 A1 WO2023225967 A1 WO 2023225967A1 CN 2022095387 W CN2022095387 W CN 2022095387W WO 2023225967 A1 WO2023225967 A1 WO 2023225967A1
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WIPO (PCT)
Prior art keywords
shooting
image data
environmental image
determined
angle
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PCT/CN2022/095387
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English (en)
French (fr)
Inventor
张念
Original Assignee
北京小米移动软件有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/095387 priority Critical patent/WO2023225967A1/zh
Priority to CN202280004227.6A priority patent/CN117460980A/zh
Publication of WO2023225967A1 publication Critical patent/WO2023225967A1/zh

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    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/01—Head-up displays
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/24—Reminder alarms, e.g. anti-loss alarms

Definitions

  • the present disclosure relates to the field of intelligent identification, and in particular, to an anti-peep prompt method, device, electronic device and storage medium.
  • smart devices such as smartphones, iPads, drones, etc. are equipped with cameras, and users of the smart devices act as photographers to capture image information of the subjects. Because, during the image shooting process, the smart device does not have an active prompt function, the person being photographed may be photographed unconsciously or without authorization, resulting in the privacy of the person being photographed being leaked. Therefore, how to effectively remind the person being photographed and prevent the privacy of the person being photographed from being invaded has become an urgent problem to be solved.
  • the present disclosure provides an anti-peep prompt method, device, electronic equipment and storage medium.
  • an anti-peep prompt method including:
  • an anti-peep prompt is provided through the wearable device.
  • the method includes:
  • determining the shooting angle of the shooting device includes:
  • the shooting angle of the shooting device is determined according to the preset contour and the lens steering angle.
  • the determining the lens steering angle of the shooting device in the environmental image data includes:
  • the lens steering angle of the shooting device is determined according to the preset shooting range and the mirror angle.
  • the method includes:
  • the wearable device is smart glasses, and anti-peep prompts are provided through the wearable device, including:
  • an anti-peep prompt is provided on the screen of the smart glasses.
  • the method includes:
  • the human body posture is a photographing posture
  • said obtaining environmental image data includes:
  • an anti-peep prompt device including:
  • An acquisition module configured to acquire environmental image data through a camera device provided on the wearable device
  • a determination module configured to determine the shooting angle of the shooting device when it is determined that the shooting device exists in the environmental image data
  • a prompt module configured to issue an anti-peep prompt through the wearable device when it is determined that the user is within the shooting range of the shooting device according to the shooting angle.
  • an electronic device including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to implement any of the steps of the anti-peep prompting method described in the first aspect when executing the executable instructions.
  • a computer-readable storage medium on which computer program instructions are stored.
  • the program instructions are executed by a processor, any one of the anti-peep prompting methods provided by the first aspect of the present disclosure is implemented. A step of.
  • the environmental image data is obtained through the camera device installed on the wearable device.
  • the shooting angle of the shooting device is determined. According to the shooting angle, it is determined that the user is in the shooting device.
  • anti-peep prompts are provided through wearable devices. Therefore, the environmental image is collected through the camera device on the wearable device, and when it is determined that there is a shooting device in the environmental image and the user is within the shooting angle of the shooting device, anti-peep prompts are provided through the wearable device. It allows users to use wearable devices to provide anti-peep prompts when it is determined that a shooting device in the environment is snooping on the user's privacy, effectively protecting user privacy and avoiding security issues caused by privacy leaks.
  • Figure 1 is a flow chart of an anti-peep prompting method according to an exemplary embodiment.
  • FIG. 2 is an example diagram of a wearable device according to an exemplary embodiment.
  • FIG. 3 is a flowchart of a method for confirming a shooting angle according to an exemplary embodiment.
  • FIG. 4 is an example diagram of another anti-peep prompting method according to an exemplary embodiment.
  • FIG. 5 is a flow chart of yet another anti-peep prompting method according to an exemplary embodiment.
  • Figure 6 is a block diagram of an anti-peep prompting device according to an exemplary embodiment.
  • FIG. 7 is a block diagram of an electronic device according to an exemplary embodiment.
  • Figure 1 is a flow chart of an anti-peep prompt method according to an exemplary embodiment. As shown in Figure 1, the anti-peep prompt method is used in a wearable device and includes the following steps.
  • step S11 environmental image data is acquired through a camera installed on the wearable device.
  • the anti-peep prompt method provided in this embodiment is applied to wearable devices.
  • wearable devices may include smart glasses, smart helmets, smart headphones, and other wearable devices that users can wear on the head area.
  • the wearable device in response to the need for anti-peeping prompts in special parts such as blind spots in the user's field of vision, the wearable device can also be a smart backpack, a bracelet, a smart belt, etc., used to capture the shooting equipment in the blind spots in the user's field of view to provide all-round protection. The effect of anti-peep reminder.
  • the wearable device is provided with a camera device for collecting environmental image data of the environment where the user is located.
  • the shooting angle of the camera device can be set according to the type of the wearable device. For example, in order to enable the camera device to accurately collect the user's
  • the shooting angle of the camera device can be adjusted according to the position of the camera device installed on the wearable device, so that the camera device can effectively capture the environmental image data of the user's environment.
  • Figure 2 is an example diagram of a wearable device according to an exemplary embodiment. As shown in Figure 2, the wearable device is smart glasses. Normally, the smart glasses are worn on the user's eyes and cover the eyes.
  • the corresponding camera devices can be set at the left frame, middle beam and right frame of the smart glasses to better capture the environmental image data of the user's current environment.
  • the wearable device is a smart backpack
  • Environmental image data of the environment is a smart backpack, it needs to provide anti-peeping prompts for the environmental image data within a preset range on the user's back. Therefore, the corresponding camera device can be set on the upper edge of the smart backpack to capture the current situation on the user's back.
  • the camera device corresponding to the wearable device is relatively small to ensure that it does not affect the normal use of the wearable device, and the camera device The wearable device needs to be turned on during normal use. Therefore, in order to increase the battery life of the camera device and prevent the camera device from affecting the normal use of the wearable device, a low-power camera may be used in this embodiment to ensure that the camera device can Long-term real-time operation.
  • the main purpose is to capture the shooting equipment in the environmental image data. Therefore, the internal parameter configuration of the camera device can be appropriately reduced.
  • the camera device can use the resolution of QVGA/QQVGA to capture the environmental image. Data is collected.
  • step S11 includes:
  • Initial environmental image data is obtained through a camera device.
  • the scene type of the environment where the wearable device is located is determined.
  • the wearable device analyzes the environmental image data in this embodiment, since there are many interference factors in the initial environmental image data, it is easy to cause interference to the analysis of the environmental image data. Therefore, the initial environmental image data obtained by shooting needs to be processed for noise reduction.
  • the initial environment image data is analyzed to determine the scene type of the environment where the wearable device is located.
  • the scene type may include: indoor dim, indoor bright, outdoor white light, outdoor yellow light, outdoor dim, and other scenes.
  • the initial environmental image data is denoised to obtain denoised environmental image data.
  • step S12 when it is determined that the photographing device exists in the environmental image data, the photographing angle of the photographing device is determined.
  • the wearable device in this embodiment may be provided with a microprocessing unit, which performs image processing and analysis on the environmental image data obtained through the camera device, identifies elements in the environmental image data, and Analyze whether the element contains filming equipment. For example, it can be determined whether there is a shooting device in the environment where the user is located based on the infrared light emitted by the shooting device when performing snooping shooting; it can also be determined whether the user is in a shooting environment by determining whether there is a lens used for shooting in the environmental image data. The presence of filming equipment in the environment. When there is a shooting device in the environmental image data, the shooting angle of the shooting device is determined based on the position of the shooting device in the environmental image.
  • the microprocessing unit provided in the wearable device is a SOC (System on Chip).
  • SOC System on Chip
  • the SOC is used to analyze the environmental image data captured by the camera device to determine whether there is any environmental image data in the environmental image data. Shooting equipment and analyze the shooting angle of the shooting equipment. At the same time, SOC can also control wearable devices to provide anti-peep prompts when there is a risk of being spied on in the future.
  • the prompt method also includes:
  • the shooting equipment in environmental image data can include multiple types, such as smartphones, professional cameras, video cameras, surveillance probes, etc.
  • the preset outline can be an outline composed of the frame lines of the shooting equipment, or can also be based on the frame lines of the shooting equipment and the lens of the corresponding shooting lens. The lines are combined into a preset outline.
  • the preset contour determined through environmental image data detection is a combination of the contour lines of the mobile phone and the corresponding lens contour lines; when the shooting device is a digital camera, the preset contour determined through environmental image data detection
  • the contour is a combination of the lens contour lines and the corresponding grip contour lines when the user holds the digital camera.
  • the grip contour lines include the frame characteristic lines of the digital camera and the finger grip lines of the user when holding the digital camera.
  • the preset contours of different types of shooting devices are stored in the storage unit of the wearable device, and a contour detection algorithm is used to determine whether there are preset contours in the environmental image data, thereby determining whether there is a shooting device in the user's environment.
  • the preset outline can be enlarged and reduced in equal proportions, and the similarity between the outline in the environmental image data and the preset outline can be compared to confirm whether there is a shooting device in the environmental image data.
  • the prompt method may also include:
  • the human posture corresponding to the human body features is determined.
  • the human body pose is the shooting pose
  • the environmental image data by identifying the environmental image data, it is determined whether there are human body features in the environmental image data, where the human body features are limb features of various parts of the human body.
  • the environmental image data can be converted into a heat map, and the heat map can be used to confirm whether there are human features in the environmental image data.
  • the human body posture corresponding to the human body features in the environmental image data is confirmed according to the human body recognition model. It should be noted that when the photographer takes an image through the shooting device, he or she will hold the shooting device. In this embodiment, the shooting postures of each type of shooting equipment are determined. By determining that the human body posture is the shooting posture, it is determined that the shooting equipment exists in the environmental image data.
  • FIG. 3 is a flowchart of a method for confirming a shooting angle according to an exemplary embodiment.
  • the above step S12 includes:
  • step S121 the lens steering angle of the shooting device in the environmental image data is determined.
  • step S122 the shooting angle of the shooting device is determined according to the preset outline and the lens steering angle.
  • the shooting angle of the shooting device can be detected to determine the lens steering angle of the shooting device.
  • the preset contours correspond to different types of shooting equipment.
  • the shooting range of the shooting device can be determined according to the type of the shooting device.
  • the shooting angle of the shooting device can be determined through the shooting range and the lens steering angle.
  • the location of the shooting device can be determined.
  • the viewing range in the environment can be determined according to the type of the shooting device.
  • step S121 includes:
  • the lens size of the camera is determined by capturing the camera in the corresponding preset outline in the environmental image data. And by analyzing the shape of the mirror inside the camera, the mirror angle of the camera is determined. The mirror angle indicates the direction of the camera of the shooting device when taking pictures. By determining the mirror angle, the corresponding shooting direction of the shooting device when taking pictures is determined. It should be noted that the shooting range of the shooting device is related to the size of the lens.
  • the true size of the corresponding lens of the shooting device can be determined.
  • the lens size corresponds to the camera's shooting range
  • the camera's preset shooting range can be determined by the lens size.
  • the prompt method may also include:
  • the first shooting range of the wearable device is simulated in the virtual scene.
  • the second shooting range of the shooting device is simulated in the virtual scene.
  • the micro control unit in the wearable device can be used to simulate the user's environment based on the environmental image data, and combine the user and the environment. Elements from the image data are built into the virtual scene. And determine the first shooting range of the wearable device in the virtual scene through the environmental image data. After the shooting angle of the shooting device is determined according to the above steps, the second shooting range of the shooting device is determined based on the position of the shooting device in the environmental image data, and the second shooting range is simulated in the virtual scene with the shooting device as the starting point. The simulated virtual scene is judged to determine whether there is an overlapping area between the first shooting range and the second shooting range in the virtual scene, thereby determining whether the wearable device is within the shooting range of the shooting device.
  • step S13 when it is determined that the user is within the shooting range of the shooting device according to the shooting angle, an anti-peep prompt is provided through the wearable device.
  • step S13 when it is determined through the above steps that the wearable device is within the shooting range of the shooting device, it means that the user may be spied on by the Peishe device, resulting in privacy leakage. Therefore, anti-peeping prompts can be provided through wearable devices. For example, when the snooping conditions are met, prompt language can be issued through the wearable device to remind users to protect privacy security; vibrations can also be emitted through the wearable device to transmit warning signals. ; A warning signal can also be displayed on the display device of the wearable device to remind the user to protect privacy, which is not limited in this embodiment.
  • step S13 includes:
  • anti-peep prompts are displayed on the screen of the smart glasses.
  • the wearable device is smart glasses.
  • the position coordinates of the shooting device relative to the smart glasses can be determined based on the position of the shooting device in the environmental image data.
  • the image center of the environmental image data can be set as the coordinate origin, and by determining the position of the shooting device relative to the coordinate origin, the position coordinates of the shooting device relative to the smart glasses can be determined. According to the location coordinates, warnings can be marked on the relative position of the smart glasses to provide an anti-peep reminder effect.
  • FIG 4 is an example diagram of another anti-peep prompting method according to an exemplary embodiment. As shown in Figure 4, this prompting method is applied to smart glasses.
  • the smart glasses are equipped with a low-power camera, and the smart glasses The lenses of your glasses can display prompt messages.
  • the environmental image data of the user's environment is obtained through a low-power camera installed on the smart glasses, and the environmental image data is transmitted to the micro-control unit of the smart glasses.
  • the micro-control unit uses an algorithm to confirm that there is a shooting device in the user's environment. When the user is photographed, prompt information is displayed through the lenses of the smart glasses to remind the user to protect privacy and security.
  • FIG. 5 is a flow chart of yet another anti-peep prompting method according to an exemplary embodiment. As shown in Figure 5, the prompting method includes:
  • the low-resolution environmental image is transmitted to the AI algorithm unit; the AI algorithm unit determines whether there is a shooting device in the environment image and the user is within the shooting device. Within the shooting angle range, the detection results are sent to the operating system of the wearable device, and the environment image is deleted to save storage space; the operating system of the wearable device analyzes the detection results to determine whether there is a risk of user privacy being snooped; When there is a risk of privacy leakage, a prompt signal is sent to the risk prompt unit to cause the risk prompt unit to issue an anti-peep prompt.
  • the environmental image data is acquired through the camera device provided on the wearable device.
  • the camera angle of the camera device is determined. According to the camera angle, it is determined that the user is in the shooting state.
  • the wearable device will provide anti-peep prompts. Therefore, the environmental image is collected through the camera device on the wearable device, and when it is determined that there is a shooting device in the environmental image and the user is within the shooting angle of the shooting device, anti-peep prompts are provided through the wearable device. It allows users to use wearable devices to provide anti-peep prompts when it is determined that a shooting device in the environment is snooping on the user's privacy, effectively protecting user privacy and avoiding security issues caused by privacy leaks.
  • Figure 6 is a block diagram of an anti-peep prompting device according to an exemplary embodiment.
  • the prompt device 100 includes an acquisition module 110 , a determination module 120 and a prompt module 130 .
  • the acquisition module 110 is configured to acquire environmental image data through a camera device provided on the wearable device.
  • the determination module 120 is configured to determine the shooting angle of the shooting device when it is determined that the shooting device exists in the environmental image data.
  • the prompt module 130 is configured to issue anti-peep prompts through the wearable device when it is determined based on the shooting angle that the user is within the shooting range of the shooting device.
  • the prompt device 100 also includes a first identification module configured as:
  • the determination module 120 may include:
  • the first determination sub-module is configured to determine the lens steering angle of the shooting device in the environmental image data.
  • the second determination sub-module is configured to determine the shooting angle of the shooting device according to the preset outline and the lens steering angle.
  • the first determination sub-module can also be configured as:
  • the prompting device 100 also includes a determination module configured as:
  • the first shooting range of the wearable device is simulated in the virtual scene.
  • the second shooting range of the shooting device is simulated in the virtual scene.
  • the prompt module 130 can also be configured as:
  • anti-peep prompts are displayed on the screen of the smart glasses.
  • the prompt device 100 also includes a second identification module, the second identification module is configured as:
  • the human posture corresponding to the human body features is determined.
  • the human body pose is the shooting pose
  • the acquisition module 110 can also be configured as:
  • Initial environmental image data is obtained through a camera device.
  • the scene type of the environment where the wearable device is located is determined.
  • the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the anti-peep prompting method provided by the present disclosure are implemented.
  • FIG. 7 is a block diagram of an electronic device according to an exemplary embodiment.
  • the device 700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.
  • apparatus 700 may include one or more of the following components: processing component 702 , memory 704 , power supply component 706 , multimedia component 707 , audio component 710 , input/output interface 712 , sensor component 714 , and communication component 716 .
  • Processing component 702 generally controls the overall operations of device 700, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 702 may include one or more processors 720 to execute instructions to complete all or part of the steps of the above anti-peep prompt method.
  • processing component 702 may include one or more modules that facilitate interaction between processing component 702 and other components.
  • processing component 702 may include a multimedia module to facilitate interaction between multimedia component 707 and processing component 702.
  • Memory 704 is configured to store various types of data to support operations at device 700 . Examples of such data include instructions for any application or method operating on device 700, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 704 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 706 provides power to the various components of device 700 .
  • Power supply component 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 700 .
  • Multimedia component 707 includes a screen that provides an output interface between the device 700 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.
  • multimedia component 707 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 710 is configured to output and/or input audio signals.
  • audio component 710 includes a microphone (MIC) configured to receive external audio signals when device 700 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signal may be further stored in memory 704 or sent via communication component 716 .
  • audio component 710 also includes a speaker for outputting audio signals.
  • the input/output interface 712 provides an interface between the processing component 702 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 714 includes one or more sensors that provide various aspects of status assessment for device 700 .
  • sensor component 714 can detect the open/closed state of device 700, the relative positioning of components, such as the display and keypad of device 700, and sensor component 714 can also detect a change in position of device 700 or a component of device 700. , the presence or absence of user contact with device 700 , device 700 orientation or acceleration/deceleration and temperature changes of device 700 .
  • Sensor assembly 714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 716 is configured to facilitate wired or wireless communication between apparatus 700 and other devices.
  • Device 700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 716 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 716 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 700 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above anti-peep prompting method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable Gate array
  • controller microcontroller, microprocessor or other electronic components are implemented for executing the above anti-peep prompting method.
  • a non-transitory computer-readable storage medium including instructions such as a memory 704 including instructions, is also provided, and the instructions can be executed by the processor 720 of the device 700 to complete the above anti-peep prompt method.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
  • a computer program product comprising a computer program executable by a programmable device, the computer program having a function for performing the above when executed by the programmable device.
  • the code part of the privacy prompt method.

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Abstract

本公开涉及一种防窥提示方法、装置、电子设备及存储介质，该方法包括：通过设置于可穿戴设备上的摄像装置，获取环境图像数据，在确定环境图像数据中存在拍摄设备的情况下，确定拍摄设备的拍摄角度，在根据拍摄角度确定用户处于拍摄设备的拍摄范围内的情况下，通过可穿戴设备进行防窥提示。从而使用户可以通过可穿戴设备在确定所处环境中有拍摄设备正在窥探用户隐私时，进行防窥提示，有效的保护了用户隐私，避免隐私泄露带来的安全问题。

Description

防窥提示方法、装置、电子设备及存储介质 技术领域
本公开涉及智能识别领域，尤其涉及一种防窥提示方法、装置、电子设备及存储介质。
背景技术
相关技术中，智能设备如智能手机、ipad、无人机等均配置有摄像头，智能设备的用户作为拍摄者来捕捉被拍摄者的图像信息。由于，在进行图像拍摄的过程中，因智能设备上不具有主动提示功能，被拍摄者可能处于无意识或未授权的情况下被拍摄，导致被拍摄者的隐私泄露。因此，如何在被拍摄的情况下，有效提醒被拍摄者，避免被拍摄者的隐私被侵犯成为亟待解决的问题。
发明内容
为克服相关技术中存在的问题，本公开提供一种防窥提示方法、装置、电子设备及存储介质。
根据本公开实施例的第一方面，提供一种防窥提示方法，包括：
通过设置于所述可穿戴设备上的摄像装置，获取环境图像数据；
在确定所述环境图像数据中存在拍摄设备的情况下，确定所述拍摄设备的拍摄角度；
在根据所述拍摄角度确定用户处于所述拍摄设备的拍摄范围内的情况下，通过所述可穿戴设备进行防窥提示。
可选地，所述方法包括：
对所述环境图像数据进行识别，确定所述环境图像数据中是否存在所述 拍摄设备对应的预设轮廓；
在所述环境图像数据中存在所述预设轮廓的情况下，确定所述环境图像数据中存在所述拍摄设备。
可选地，所述确定所述拍摄设备的拍摄角度，包括：
确定所述环境图像数据中所述拍摄设备的镜头转向角；
根据所述预设轮廓和所述镜头转向角，确定所述拍摄设备的所述拍摄角度。
可选地，其特征在于，所述确定所述环境图像数据中所述拍摄设备的镜头转向角，包括：
捕捉所述环境图像中所述拍摄设备的摄像头，确定所述摄像头的镜头尺寸和镜面角度；
根据所述镜头尺寸确定所述摄像头的预设拍摄范围；
根据所述预设拍摄范围和所述镜面角度，确定所述拍摄设备的所述镜头转向角。
可选地，其特征在于，所述方法包括：
根据所述环境图像数据，在虚拟场景中模拟所述可穿戴设备的第一拍摄范围；
根据所述拍摄角度，在所述虚拟场景中模拟所述拍摄设备的第二拍摄范围；
在所述虚拟场景中，所述第一拍摄范围和所述第二拍摄范围存在重叠区域的情况下，确定所述用户处于所述拍摄设备的拍摄范围内。
可选地，其特征在于，所述可穿戴设备为智能眼镜，通过所述可穿戴设备进行防窥提示，包括：
确定所述拍摄设备相对所述智能眼镜的位置坐标；
根据所述位置坐标，在所述智能眼镜的屏幕上进行防窥提示。
可选地，其特征在于，所述方法包括：
对所述环境图像数据进行识别，确定所述环境图像数据中是否存在人体特征；
在所述环境图像数据中存在所述人体特征的情况下，确定所述人体特征对应的人体姿态；
在所述人体姿态为拍摄姿态的情况下，确定所述环境图像数据中存在所述拍摄设备。
可选地，其特征在于，所述获取环境图像数据包括：
通过所述摄像装置获取初始环境图像数据；
根据所述初始环境图像数据，确定所述可穿戴设备所处环境的场景类型；
根据所述场景类型对所述初始环境图像数据进行降噪处理，获得降噪后的所述环境图像数据。
根据本公开实施例的第二方面，提供一种防窥提示装置，包括：
获取模块，被配置为通过设置于所述可穿戴设备上的摄像装置，获取环境图像数据；
确定模块，被配置为在确定所述环境图像数据中存在拍摄设备的情况下，确定所述拍摄设备的拍摄角度；
提示模块，被配置为在根据所述拍摄角度确定用户处于所述拍摄设备的拍摄范围内的情况下，通过所述可穿戴设备进行防窥提示。
根据本公开实施例的第三方面，提供一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为在执行所述可执行指令时，实现第一方面所述任一项防窥提示方法的步骤。
根据本公开实施例的第四方面，提供一种计算机可读存储介质，其上存 储有计算机程序指令，该程序指令被处理器执行时实现本公开第一方面所提供任一项防窥提示方法的步骤。
本公开的实施例提供的技术方案可以包括以下有益效果：
在上述方式中，通过设置于可穿戴设备上的摄像装置，获取环境图像数据，在确定环境图像数据中存在拍摄设备的情况下，确定拍摄设备的拍摄角度，在根据拍摄角度确定用户处于拍摄设备的拍摄范围内的情况下，通过可穿戴设备进行防窥提示。从而通过可穿戴设备上的摄像装置，采集环境图像，并确定环境图像中存在拍摄设备且用户处于拍摄设备的拍摄角度内时，通过可穿戴设备进行防窥提示。使用户可以通过可穿戴设备在确定所处环境中有拍摄设备正在窥探用户隐私时，进行防窥提示，有效的保护了用户隐私，避免隐私泄露带来的安全问题。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。
图1是根据一示例性实施例示出的一种防窥提示方法的流程图。
图2是根据一示例性实施例示出的一种可穿戴设备的示例图。
图3是根据一示例性实施例示出的一种拍摄角度的确认方法的流程图。
图4是根据一示例性实施例示出的另一种防窥提示方法的示例图。
图5是根据一示例性实施例示出的又一种防窥提示方法的流程图。
图6是根据一示例性实施例示出的一种防窥提示装置框图。
图7是根据一示例性实施例示出的一种电子设备的框图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。
需要说明的是，本申请中所有获取信号、信息或数据的动作都是在遵照所在地国家相应的数据保护法规政策的前提下，并获得由相应装置所有者给予授权的情况下进行的。
图1是根据一示例性实施例示出的一种防窥提示方法的流程图，如图1所示，该防窥提示方法用于可穿戴设备中，包括以下步骤。
在步骤S11中，通过设置于可穿戴设备上的摄像装置，获取环境图像数据。
可以理解的是，本实施例中提供的防窥提示方法应用于可穿戴设备中，通常情况下，用户对应的头部视角较开阔，能够准确反映用户所处环境的环境图像数据，因此本实施例中可穿戴设备可以是智能眼镜、智能头盔、智能耳机等用户可以在头部区域穿戴的可穿戴设备。可选地，针对用户视野盲区等特殊部位的防窥提示需求，该可穿戴设备还可以是智能背包、手环、智能腰带等，用于捕捉用户视野盲区内的拍摄设备，以起到全方位防窥提示的效果。该可穿戴设备上设置有摄像装置用于采集用户所处环境的环境图像数据，摄像装置的拍摄角度可以根据该可穿戴设备的类型进行设定，示例的，为使摄像装置能够准确采集到用户所处环境的环境图像数据，可以根据摄像装置设置于可穿戴设备的位置，调整摄像装置的拍摄角度，使摄像装置能够有效捕捉用户所述环境的环境图像数据。示例的，图2是根据一示例性实施例示出的一种可穿戴设备的示例图，如图2所示，该可穿戴设备为智能眼镜，通常情况下，智能眼镜佩戴在用户眼睛上，覆盖在用户眼睛的周围，因此，对 应的摄像装置可以设置在智能眼镜的左边框、中间横梁和右边框的位置，以便更好的捕捉用户所处当前环境的环境图像数据。可选地，该可穿戴设备为智能背包时，需要对用户背部预设范围内的环境图像数据进行防窥提示，因此，对应的摄像装置可以设置在智能背包的上边沿，以便捕捉用户背部当前环境的环境图像数据。
需要说明的是，本实施例中，为保证可穿戴设备的穿戴使用功能，对应设置于可穿戴设备上的摄像装置相对较小，以保证不会影响到可穿戴设备的正常使用，且摄像装置在可穿戴设备的正常使用期间都需要被开启，因此为了增加可摄像装置的续航能力并避免摄像装置影响可穿戴设备的正常使用，本实施例中可以采用低功耗摄像头，以保证摄像装置能够长期实时运行。在进行环境图像数据的采集时，主要是为了对环境图像数据中的拍摄设备进行捕捉，因此可以适当降低摄像装置的内参配置，示例的，摄像装置可以采用QVGA/QQVGA的分辨率来对环境图像数据进行采集。
可选地，上述步骤S11，包括：
通过摄像装置获取初始环境图像数据。
根据初始环境图像数据，确定可穿戴设备所处环境的场景类型。
根据场景类型对初始环境图像数据进行降噪处理，获得降噪后的环境图像数据。
示例的，本实施例中可穿戴设备在对环境图像数据进行分析时，由于初始环境图像数据中存在许多干扰因素，容易对环境图像数据的分析造成干扰。因此，需要拍摄获得的初始环境图像数据进行降噪处理。本实施例中，对初始环境图像数据进行分析，确定可穿戴设备所处环境的场景类型，示例的，场景类型可以包括：室内昏暗，室内明亮，室外白光，室外黄光，室外昏暗等场景。根据不同场景类型下的环境参数，对初始环境图像数据进行降噪处理，获得降噪后的环境图像数据。
在步骤S12中，在确定环境图像数据中存在拍摄设备的情况下，确定拍摄设备的拍摄角度。
可以理解的是，本实施例中的可穿戴设备中可以设置有微处理单元，该微处理单元对通过摄像装置获得的环境图像数据进行图像处理和分析，识别该环境图像数据中的元素，并对该元素中是否包含拍摄设备进行分析。示例的，可以根据拍摄设备在进行窥探拍摄时发出的红外光线，确定用户所处环境中是否存在拍摄设备；还可以通过确定环境图像数据中是否存在用于进行拍摄的镜头，从而确定用户所处环境中是否存在拍摄设备。当环境图像数据中存在拍摄设备时，根据该拍摄设备在环境图像中的位置，确定拍摄设备的拍摄角度。示例的，本实施例中设置于可穿戴设备中的微处理单元为SOC(System on Chip，系统级芯片)通过SOC来对摄像装置拍摄的环境图像数据进行分析，确定该环境图像数据中是否存在拍摄设备，并对拍摄设备的拍摄角度进行分析。同时，SOC还可以在后续存在被窥探风险时，控制可穿戴设备进行防窥提示。
可选地，该提示方法，还包括：
对环境图像数据进行识别，确定环境图像数据中是否存在拍摄设备对应的预设轮廓。
在环境图像数据中存在预设轮廓的情况下，确定环境图像数据中存在拍摄设备。
需要说明的是，环境图像数据中的拍摄设备可以包括多种类型，例如智能手机、专业相机、摄影机、监控探头等，但针对不同类型的拍摄设备因存在固定规格的制造标准，因此在环境图像数据中，同一类型的拍摄设备具有相同或相近的预设轮廓，其中，该预设轮廓可以是由拍摄设备的边框线条组成的轮廓线条，还可以根据拍摄设备的边框线条以及对应拍摄镜头的镜头线条组合为预设轮廓。示例的，当智能手机作为拍摄设备时，通过环境图像数 据检测确定的预设轮廓为手机轮廓线条和对应镜头轮廓线条的组合；当拍摄设备为数码相机时，通过环境图像数据检测确定的预设轮廓为镜头轮廓线条和对应用户握持数码相机时对应握持轮廓线条的组合，其中，握持轮廓线条包括数码相机的边框特征线条和用户握持时的手指握持线条。通过有限的实验，将不同类型拍摄设备的预设轮廓存储至可穿戴设备的存储单元，通过轮廓检测算法确定环境图像数据中是否存在预设轮廓，从而确定用户所处环境中是否存在拍摄设备。示例的，预设轮廓可以等比例放大和缩小，通过比对环境图像数据中的轮廓与预设轮廓的相似度，从而确认环境图像数据中是否存在拍摄设备。
可选地，该提示方法，还可以包括：
对环境图像数据进行识别，确定环境图像数据中是否存在人体特征。
在环境图像数据中存在人体特征的情况下，确定人体特征对应的人体姿态。
在人体姿态为拍摄姿态的情况下，确定环境图像数据中存在拍摄设备。
可以理解的是，本实施例中通过对环境图像数据进行识别，确定环境图像数据中是否存在人体特征，其中，人体特征为人体各个部位的肢体特征。示例的，可以将环境图像数据转化为热力图，通过热力图确认环境图像数据中是否存在人体特征。当确定可穿戴设备对应的拍摄角度中存在人体特征时，根据人体识别模型确认在环境图像数据中人体特征对应的人体姿态。需要说明的是，拍摄者通过拍摄设备进行图像拍摄时，均会存在对拍摄设备的握持。本实施例中确定各个类型拍摄设备的拍摄姿态，通过确定该人体姿态为拍摄姿态时，确定环境图像数据中存在拍摄设备。
图3是根据一示例性实施例示出的一种拍摄角度的确认方法的流程图，上述步骤S12，包括：
在步骤S121中，确定环境图像数据中拍摄设备的镜头转向角。
在步骤S122中，根据预设轮廓和镜头转向角，确定拍摄设备的拍摄角度。
需要说明的是，通过上述步骤确定用户所处环境中存在拍摄设备之后，还需要对拍摄设备的拍摄角度进行检测，当用户处于拍摄设备的拍摄角度之外时，用户隐私不存在被拍摄设备窥探的风险；当拍摄设备的拍摄角度正对用户，则拍摄设备在未被用户授权的情况下，能够准确的获取到用户隐私。本实施例中通过上述步骤应用预设轮廓锁定环境图像数据中的拍摄设备之后，可以对拍摄设备的镜头角度进行检测从而确定拍摄设备的镜头转向角。本实施例中预设轮廓对应不同类型的拍摄设备，根据拍摄设备的类型可以确定拍摄设备的拍摄范围，通过拍摄范围和镜头转向角，从而确定拍摄设备的拍摄角度，对应可以确定拍摄设备在所处环境中的取景范围。
可选地，上述步骤S121，包括：
捕捉环境图像中拍摄设备的摄像头，确定摄像头的镜头尺寸和镜面角度。
根据镜头尺寸确定摄像头的预设拍摄范围。
根据预设拍摄范围和镜面角度，确定拍摄设备的镜头转向角。
可以理解的是，通常情况下拍摄设备的摄像头规格、形状都较为统一，根据拍摄设备的型号不同对应的镜头尺寸存在一定的差异。通过捕捉环境图像数据中对应预设轮廓中的摄像头，从而确定摄像头的镜头尺寸。并通过分析该摄像头内镜面形状，确定摄像头的镜面角度。其中，镜面角度表示拍摄设备在拍照时，摄像头的朝向方向，通过确定镜面角度确定拍摄设备在进行拍摄时，对应的拍摄方向。需要说明的是，拍摄设备的拍摄范围与镜头的尺寸有关，根据可穿戴设备中摄像装置的内部参数，以及环境图像数据中对应拍摄设备的镜头尺寸，从而可以确定拍摄设备对应镜头的真实尺寸，通常情况下，镜头尺寸与摄像头的拍摄范围相对应，通过镜头尺寸可以确定摄像头的预设拍摄范围。通过预设拍摄范围和镜面角度，可以确定出拍摄设备在所 处环境中的镜头转向角。
可选地，该提示方法，还可以包括：
根据环境图像数据，在虚拟场景中模拟可穿戴设备的第一拍摄范围。
根据拍摄角度，在虚拟场景中模拟拍摄设备的第二拍摄范围。
在虚拟场景中，第一拍摄范围和第二拍摄范围存在重叠区域的情况下，确定用户处于拍摄设备的拍摄范围内。
可以理解的是，本实施例中为更好的确认用户是否处于拍摄设备的拍摄范围内，可以通过可穿戴设备中的微控制单元根据环境图像数据对用户所处环境进行模拟，将用户和环境图像数据中的元素构建到虚拟场景中。并通过环境图像数据确定虚拟场景中可穿戴设备的第一拍摄范围。根据上述步骤确定拍摄设备的拍摄角度之后，通过环境图像数据中拍摄设备的位置确定拍摄设备的第二拍摄范围，并将该第二拍摄范围以拍摄设备为起点，在该虚拟场景中进行模拟。对模拟后的虚拟场景进行判断，确定第一拍摄范围和第二拍摄范围在虚拟场景中是否存在重叠区域，从而确定可穿戴设备是否处于拍摄设备的拍摄范围之内。
在步骤S13中，在根据拍摄角度确定用户处于拍摄设备的拍摄范围内的情况下，通过可穿戴设备进行防窥提示。
示例的，在步骤S13中，通过上述步骤确定可穿戴设备处于拍摄设备的拍摄范围内时，则表示用户可能被裴舍设备窥探，造成隐私泄露。因此，可以通过可穿戴设备进行防窥提示，示例的，在满足窥探条件时，可以通过可穿戴设备发出提示语言，以提醒用户保护隐私安全；还可以通过可穿戴设备发出振动，以传递警示信号；还可以在可穿戴设备的显示装置上显示警示信号，以提示用户保护隐私，对此本实施例不做限制。
可选地，上述步骤S13，包括：
确定拍摄设备相对智能眼镜的位置坐标。
根据位置坐标，在智能眼镜的屏幕上进行防窥提示。
示例的，本实施例中可穿戴设备为智能眼镜，通过上述步骤确定拍摄设备正在窥探用户隐私之后，可以根据拍摄设备在环境图像数据中的位置，确定拍摄设备相对该智能眼镜的位置坐标，示例的，可以将环境图像数据的图像中心设置为坐标原点，通过确定拍摄设备相对坐标原点的位置，从而确定拍摄设备相对智能眼镜的位置坐标。根据位置坐标可以在智能眼镜的相对位置进行警示标注，以起到防窥提示的效果。
图4是根据一示例性实施例示出的另一种防窥提示方法的示例图，如图4所示，该提示方法应用于智能眼镜中，该智能眼镜上设置有低功耗相机，且智能眼镜的镜片可以显示提示信息。
通过设置于智能眼镜上的低功耗相机获取用户所处环境的环境图像数据，并将环境图像数据传输至智能眼镜的微控制单元，微控制单元通过算法确认用户所处环境中存在拍摄设备正在对用户进行拍摄时，通过智能眼镜的镜片显示提示信息，以提示用户保护隐私安全。
图5是根据一示例性实施例示出的又一种防窥提示方法的流程图，如图5所示，该提示方法包括：
通过可穿戴设备上的摄像装置采集用户所处环境的环境图像之后，将低分辨率的环境图像传输至AI算法单元；通过AI算法单元确定环境图像中是否存在拍摄设备，且用户处于拍摄设备的拍摄角度范围内，并将检测结果发送至可穿戴设备的操作系统中，同时删除环境图像以节省存储空间；可穿戴设备的操作系统对检测结果进行解析，确定是否存在用户隐私被窥探的风险；当存在隐私泄露的风险时，发送提示信号至风险提示单元，使风险提示单元进行防窥提示。
在上述实施方式中，通过设置于可穿戴设备上的摄像装置，获取环境图像数据，在确定环境图像数据中存在拍摄设备的情况下，确定拍摄设备的拍 摄角度，在根据拍摄角度确定用户处于拍摄设备的拍摄范围内的情况下，通过可穿戴设备进行防窥提示。从而通过可穿戴设备上的摄像装置，采集环境图像，并确定环境图像中存在拍摄设备且用户处于拍摄设备的拍摄角度内时，通过可穿戴设备进行防窥提示。使用户可以通过可穿戴设备在确定所处环境中有拍摄设备正在窥探用户隐私时，进行防窥提示，有效的保护了用户隐私，避免隐私泄露带来的安全问题。
图6是根据一示例性实施例示出的一种防窥提示装置框图。参照图6，该提示装置100包括获取模块110，确定模块120和提示模块130。
该获取模块110，被配置为通过设置于可穿戴设备上的摄像装置，获取环境图像数据。
该确定模块120，被配置为在确定环境图像数据中存在拍摄设备的情况下，确定拍摄设备的拍摄角度。
该提示模块130，被配置为在根据拍摄角度确定用户处于拍摄设备的拍摄范围内的情况下，通过可穿戴设备进行防窥提示。
可选地，该提示装置100，还包括第一识别模块，该第一识别模块被配置为：
对环境图像数据进行识别，确定环境图像数据中是否存在拍摄设备对应的预设轮廓。
在环境图像数据中存在预设轮廓的情况下，确定环境图像数据中存在拍摄设备。
可选地，该确定模块120，可以包括：
第一确定子模块，被配置为确定环境图像数据中拍摄设备的镜头转向角。
第二确定子模块，被配置为根据预设轮廓和镜头转向角，确定拍摄设备的拍摄角度。
可选地，该第一确定子模块，还可以被配置为：
捕捉环境图像中拍摄设备的摄像头，确定摄像头的镜头尺寸和镜面角度。
根据镜头尺寸确定摄像头的预设拍摄范围。
根据预设拍摄范围和镜面角度，确定拍摄设备的镜头转向角。
可选地，该提示装置100，还包括判定模块，该判定模块被配置为：
根据环境图像数据，在虚拟场景中模拟可穿戴设备的第一拍摄范围。
根据拍摄角度，在虚拟场景中模拟拍摄设备的第二拍摄范围。
在虚拟场景中，第一拍摄范围和第二拍摄范围存在重叠区域的情况下，确定用户处于拍摄设备的拍摄范围内。
可选地，该提示模块130，还可以被配置为：
确定拍摄设备相对智能眼镜的位置坐标。
根据位置坐标，在智能眼镜的屏幕上进行防窥提示。
可选地，该提示装置100，还包括第二识别模块，该第二识别模块被配置为：
对环境图像数据进行识别，确定环境图像数据中是否存在人体特征。
在环境图像数据中存在人体特征的情况下，确定人体特征对应的人体姿态。
在人体姿态为拍摄姿态的情况下，确定环境图像数据中存在拍摄设备。
可选地，该获取模块110，还可以被配置为：
通过摄像装置获取初始环境图像数据。
根据初始环境图像数据，确定可穿戴设备所处环境的场景类型。
根据场景类型对初始环境图像数据进行降噪处理，获得降噪后的环境图像数据。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
本公开还提供一种计算机可读存储介质，其上存储有计算机程序指令， 该程序指令被处理器执行时实现本公开提供的防窥提示方法的步骤。
图7是根据一示例性实施例示出的一种电子设备的框图。例如，装置700可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图7，装置700可以包括以下一个或多个组件：处理组件702，存储器704，电源组件706，多媒体组件707，音频组件710，输入/输出接口712，传感器组件714，以及通信组件716。
处理组件702通常控制装置700的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件702可以包括一个或多个处理器720来执行指令，以完成上述防窥提示方法的全部或部分步骤。此外，处理组件702可以包括一个或多个模块，便于处理组件702和其他组件之间的交互。例如，处理组件702可以包括多媒体模块，以方便多媒体组件707和处理组件702之间的交互。
存储器704被配置为存储各种类型的数据以支持在装置700的操作。这些数据的示例包括用于在装置700上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器704可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件706为装置700的各种组件提供电力。电源组件706可以包括电源管理系统，一个或多个电源，及其他与为装置700生成、管理和分配电力相关联的组件。
多媒体组件707包括在所述装置700和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。 如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件707包括一个前置摄像头和/或后置摄像头。当装置700处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件710被配置为输出和/或输入音频信号。例如，音频组件710包括一个麦克风(MIC)，当装置700处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器704或经由通信组件716发送。在一些实施例中，音频组件710还包括一个扬声器，用于输出音频信号。
输入/输出接口712为处理组件702和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件714包括一个或多个传感器，用于为装置700提供各个方面的状态评估。例如，传感器组件714可以检测到装置700的打开/关闭状态，组件的相对定位，例如所述组件为装置700的显示器和小键盘，传感器组件714还可以检测装置700或装置700一个组件的位置改变，用户与装置700接触的存在或不存在，装置700方位或加速/减速和装置700的温度变化。传感器组件714可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件714还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件714还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传 感器。
通信组件716被配置为便于装置700和其他设备之间有线或无线方式的通信。装置700可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件716经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件716还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置700可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述防窥提示方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器704，上述指令可由装置700的处理器720执行以完成上述防窥提示方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
在另一示例性实施例中，还提供一种计算机程序产品，该计算机程序产品包含能够由可编程的装置执行的计算机程序，该计算机程序具有当由该可编程的装置执行时用于执行上述防窥提示方法的代码部分。
本领域技术人员在考虑说明书及实践本公开后，将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (11)

  1. 一种防窥提示方法，其特征在于，应用于可穿戴设备，所述方法包括：
    通过设置于所述可穿戴设备上的摄像装置，获取环境图像数据；
    在确定所述环境图像数据中存在拍摄设备的情况下，确定所述拍摄设备的拍摄角度；
    在根据所述拍摄角度确定用户处于所述拍摄设备的拍摄范围内的情况下，通过所述可穿戴设备进行防窥提示。
  2. 根据权利要求1所述的提示方法，其特征在于，所述方法包括：
    对所述环境图像数据进行识别，确定所述环境图像数据中是否存在所述拍摄设备对应的预设轮廓；
    在所述环境图像数据中存在所述预设轮廓的情况下，确定所述环境图像数据中存在所述拍摄设备。
  3. 根据权利要求2所述的提示方法，其特征在于，所述确定所述拍摄设备的拍摄角度，包括：
    确定所述环境图像数据中所述拍摄设备的镜头转向角；
    根据所述预设轮廓和所述镜头转向角，确定所述拍摄设备的所述拍摄角度。
  4. 根据权利要求3所述的提示方法，其特征在于，所述确定所述环境图像数据中所述拍摄设备的镜头转向角，包括：
    捕捉所述环境图像中所述拍摄设备的摄像头，确定所述摄像头的镜头尺寸和镜面角度；
    根据所述镜头尺寸确定所述摄像头的预设拍摄范围；
    根据所述预设拍摄范围和所述镜面角度，确定所述拍摄设备的所述镜头转向角。
  5. 根据权利要求1所述的提示方法，其特征在于，所述方法包括：
    根据所述环境图像数据，在虚拟场景中模拟所述可穿戴设备的第一拍摄范围；
    根据所述拍摄角度，在所述虚拟场景中模拟所述拍摄设备的第二拍摄范围；
    在所述虚拟场景中，所述第一拍摄范围和所述第二拍摄范围存在重叠区域的情况下，确定所述用户处于所述拍摄设备的拍摄范围内。
  6. 根据权利要求1所述的提示方法，其特征在于，所述可穿戴设备为智能眼镜，通过所述可穿戴设备进行防窥提示，包括：
    确定所述拍摄设备相对所述智能眼镜的位置坐标；
    根据所述位置坐标，在所述智能眼镜的屏幕上进行防窥提示。
  7. 根据权利要求1所述的提示方法，其特征在于，所述方法包括：
    对所述环境图像数据进行识别，确定所述环境图像数据中是否存在人体特征；
    在所述环境图像数据中存在所述人体特征的情况下，确定所述人体特征对应的人体姿态；
    在所述人体姿态为拍摄姿态的情况下，确定所述环境图像数据中存在所述拍摄设备。
  8. 根据权利要求1所述的提示方法，其特征在于，所述获取环境图像数据包括：
    通过所述摄像装置获取初始环境图像数据；
    根据所述初始环境图像数据，确定所述可穿戴设备所处环境的场景类型；
    根据所述场景类型对所述初始环境图像数据进行降噪处理，获得降噪后的所述环境图像数据。
  9. 一种防窥提示装置，其特征在于，包括：
    获取模块，被配置为通过设置于所述可穿戴设备上的摄像装置，获取环境图像数据；
    确定模块，被配置为在确定所述环境图像数据中存在拍摄设备的情况下，确定所述拍摄设备的拍摄角度；
    提示模块，被配置为在根据所述拍摄角度确定用户处于所述拍摄设备的拍摄范围内的情况下，通过所述可穿戴设备进行防窥提示。
  10. 一种电子设备，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为在执行所述可执行指令时，实现权利要求1～8中任一项所述方法的步骤。
  11. 一种计算机可读存储介质，其上存储有计算机程序指令，其特征在于，该程序指令被处理器执行时实现权利要求1～8中任一项所述方法的步骤。
PCT/CN2022/095387 2022-05-26 2022-05-26 防窥提示方法、装置、电子设备及存储介质 WO2023225967A1 (zh)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012213083A (ja) * 2011-03-31 2012-11-01 Secom Co Ltd 監視範囲検知装置
CN110443136A (zh) * 2019-07-04 2019-11-12 北京九天翱翔科技有限公司 一种全智能电脑显示屏防手机偷拍系统
WO2020073739A1 (zh) * 2018-10-09 2020-04-16 林桦 基于计算机视觉的防拍照显示系统及防拍照方法
CN111079096A (zh) * 2019-12-30 2020-04-28 李文红 演出场所版权保护方法及装置、计算机可读存储介质
CN111766902A (zh) * 2020-06-24 2020-10-13 国网福建省电力有限公司莆田供电公司 基于经纬度坐标实现视频云台转向的控制方法
US20210044485A1 (en) * 2019-08-05 2021-02-11 Sk Planet Co., Ltd. Service providing system and method for preventing hidden camera, service providing apparatus therefor, and non-transitory computer readable medium having computer program recorded thereon
CN114095910A (zh) * 2021-11-17 2022-02-25 北京蜂巢世纪科技有限公司 一种用于智能ar眼镜的防偷拍方法、设备以及介质
KR20220042972A (ko) * 2020-09-28 2022-04-05 위한결 줌 기능을 가지는 몰래카메라 탐지기 및 시스템

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012213083A (ja) * 2011-03-31 2012-11-01 Secom Co Ltd 監視範囲検知装置
WO2020073739A1 (zh) * 2018-10-09 2020-04-16 林桦 基于计算机视觉的防拍照显示系统及防拍照方法
CN110443136A (zh) * 2019-07-04 2019-11-12 北京九天翱翔科技有限公司 一种全智能电脑显示屏防手机偷拍系统
US20210044485A1 (en) * 2019-08-05 2021-02-11 Sk Planet Co., Ltd. Service providing system and method for preventing hidden camera, service providing apparatus therefor, and non-transitory computer readable medium having computer program recorded thereon
CN111079096A (zh) * 2019-12-30 2020-04-28 李文红 演出场所版权保护方法及装置、计算机可读存储介质
CN111766902A (zh) * 2020-06-24 2020-10-13 国网福建省电力有限公司莆田供电公司 基于经纬度坐标实现视频云台转向的控制方法
KR20220042972A (ko) * 2020-09-28 2022-04-05 위한결 줌 기능을 가지는 몰래카메라 탐지기 및 시스템
CN114095910A (zh) * 2021-11-17 2022-02-25 北京蜂巢世纪科技有限公司 一种用于智能ar眼镜的防偷拍方法、设备以及介质

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