CN113709564A - Early warning method based on 5G television, 5G television and readable storage medium - Google Patents
Early warning method based on 5G television, 5G television and readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/488—Data services, e.g. news ticker
- H04N21/4882—Data services, e.g. news ticker for displaying messages, e.g. warnings, reminders
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- 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
Abstract
The application provides an early warning method based on a 5G television, the 5G television and a computer readable storage medium, wherein the method comprises the following steps: determining the mode information of the current 5G television, and detecting a corresponding preset range through a preset camera; when detecting that the user appears in the preset range, determining whether the user is a target user; if the user is determined to be the target user, acquiring an image of the current target user; determining the state information of the target user according to the image; and sending early warning information according to the state information of the target user and the current mode information of the 5G television, so that the state information of the target user in the 5G television detection range is sent through the state information of the user and the mode information of the 5G television, and the security efficiency of the 5G television is improved.
Description
Technical Field
The application relates to the technical field of smart televisions, in particular to an early warning method based on a 5G television, the 5G television and a computer readable storage medium.
Background
At present, as the 5G technology in China enters a rapid development stage, 5G televisions also appear in the fields of the public, and the 5G televisions have multiple advantages of high transmission rate, high capacity, low delay, energy conservation, low cost, large-scale equipment connection and the like, and people can not only meet the entertainment of watching television programs and the like for the 5G televisions. Along with the attention of people on safety, the use of security equipment in families or enterprises is more and more common, the requirements of people on the security equipment are higher and higher, although the existing smart television can be used as the security equipment, the early warning can be only carried out on strangers appearing in the range, and the security efficiency is not high.
Disclosure of Invention
The application mainly aims to provide an early warning method based on a 5G television, the 5G television and a computer readable storage medium, and aims to solve the problems that the existing smart television can only early warn strangers appearing in a range, and the security and protection efficiency is not high.
In a first aspect, the present application provides a warning method based on a 5G television, where the warning method based on the 5G television includes the following steps:
determining the mode information of the current 5G television, and detecting a corresponding preset range through a preset camera;
when detecting that the user appears in the preset range, determining whether the user is a target user;
if the user is determined to be the target user, acquiring an image of the current target user;
determining the state information of the target user according to the image;
and sending early warning information according to the state information of the target user and the mode information of the current 5G television.
In a second aspect, the present application further provides a 5G tv, where the 5G tv includes a preset camera, a display, a processor, a memory, and a computer program stored on the memory and executable by the processor, where the computer program, when executed by the processor, implements the steps of the above-mentioned warning method based on the 5G tv.
In a third aspect, the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, where the computer program, when executed by a processor, implements the steps of the early warning method based on the 5G television set as described above.
The application provides an early warning method based on a 5G television, the 5G television and a computer readable storage medium, and detects a corresponding preset range through a preset camera by determining mode information of the current 5G television; when detecting that the user appears in the preset range, determining whether the user is a target user; if the user is determined to be the target user, acquiring an image of the current target user; determining the state information of the target user according to the image; and sending early warning information according to the state information of the target user and the current mode information of the 5G television, so that the state information of the target user in the 5G television detection range is sent through the state information of the user and the mode information of the 5G television, and the security efficiency of the 5G television is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating steps of a warning method based on a 5G television according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an emulation mode of a 5G television in the embodiment of the present application;
fig. 3 is a schematic diagram illustrating a sleep mode of a 5G television according to an embodiment of the present application;
fig. 4 is a flow chart illustrating sub-steps of the early warning method based on the 5G television in fig. 1;
fig. 5 is a block diagram schematically illustrating a structure of a 5G television according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating an early warning method based on a 5G television according to an embodiment of the present disclosure.
As shown in fig. 1, the warning method based on the 5G television includes steps S101 to S105.
And S101, determining the mode information of the current 5G television, and detecting a corresponding preset range through a preset camera.
The mode information of the 5G tv includes a play mode and a sleep mode, as shown in fig. 2, the play mode is that the user is watching tv programs or playing other entertainment items using the 5G tv, and as shown in fig. 3, the sleep mode is that the interface of the 5G tv is in a black screen state. For example, determining the mode information of the current 5G television may be to acquire interface information of the current 5G television, determine that the current 5G television is in the sleep mode if the interface of the current 5G television is in the black screen state shown in fig. 3, and determine that the current 5G television is in the play mode if the interface of the current 5G television is in the play interface shown in fig. 2.
Specifically, whether a 5G television is in a running state is detected; if the 5G television is in the running state, determining that the 5G television is in a play mode currently; and if the 5G television is not in the running state, determining that the 5G television is in the sleep mode currently.
In one embodiment, whether the 5G television is in the running state is detected, and the detection method comprises the steps of detecting the power consumption of the current 5G television and determining whether the current 5G television is in the running state according to the power consumption. An example is that the power consumption of the 5G television in the running state is obtained in advance, when the current power consumption of the 5G television is detected, the current power consumption of the 5G television is compared with the power consumption of the 5G television in the running state, and when the current power consumption of the 5G television is greater than or equal to the power consumption of the 5G television in the running state, the 5G television is determined to be in the running state. If the 5G television is in the running state, it is determined that the current 5G television is in the play mode as shown in fig. 2, and if the 5G television is not in the running state, it is determined that the current 5G television is in the sleep mode as shown in fig. 3.
The 5G television comprises a preset camera, the camera is positioned right above the 5G television, other positions can be set, the preset camera detects a corresponding preset range, and the detection comprises real-time detection or timing detection.
Specifically, when the current 5G television is determined to be in a play mode, receiving an operation instruction, starting a preset camera based on the operation instruction, and detecting a corresponding preset range in real time through the preset camera; and when the 5G television is determined to be in the sleep mode currently, starting a preset camera, and detecting a corresponding preset range in real time through the preset camera.
In an embodiment, when the current 5G television is determined to be in the play mode, a preset camera of the 5G television is in a closed state, and the 5G television receives an operation instruction of a user. For example, a voice instruction of the user, a key operation instruction of the user through a remote controller, or a touch failure on a display screen, etc. are received. And starting the preset camera through an operation instruction of a user. And the preset camera detects the corresponding preset range in real time after being started.
And when the current 5G television is determined to be in the sleep mode, the preset camera is in a starting state. For example, when a user turns off a 5G television, the preset camera is started while the 5G television is turned off, and a corresponding preset range is detected in real time by the preset camera, and the preset range is determined based on the position of the 5G television. For example, when the 5G tv is located in a family living room, the corresponding living room range is detected by the preset camera, and when the 5G tv is located in a conference room, the corresponding conference room area is detected by the preset camera.
And S102, when the user appears in the preset range, determining whether the user is a target user.
When the user appearing in the preset range is detected through the preset camera, the user is analyzed, and whether the user is a target user or not is determined. An illustrative example is: the body contour of the target user is obtained in advance, and the obtained body contour is stored. When the user is detected to appear in the preset range, acquiring the body contour of the user, matching the body contour of the user with a pre-stored body contour, if the body contour of the user is matched with the pre-stored body contour, determining that the user is a target user, and if the body contour of the user is not matched with the pre-stored body contour, determining that the user is not the target user.
Specifically, when a user is detected to appear in the preset range, the user is subjected to facial recognition to obtain facial features of the user; matching the facial features with a preset facial feature library, and determining whether the facial features are matched with preset facial features in the preset facial feature library; and if the facial features are matched with the preset facial features, determining the user as a target user.
In one embodiment, a preset camera detects that a user appears in a preset range, the face position of the user is determined, face recognition is carried out on the face position of the user, and the face features of the user are obtained. An example is that a preset camera detects that a user appears in a preset range, a preset face recognition model determines the face position of the user, the face position is recognized, and facial features of the user are extracted. And matching the extracted facial features with preset facial features in a preset facial feature library, and determining that the user is a target user if the facial features of the user are matched with the preset facial features in the preset facial feature library. And if the facial features of the user do not match the preset facial features in the preset facial feature library, determining that the user is not the target user.
After determining whether the user is a target user, the method further comprises: and if the user is determined not to be the target user, continuously shooting the image of the user through the preset camera, and sending early warning information to a mobile terminal associated with the 5G television or displaying the image of the user on a display interface of the 5G television and playing a preset alarm bell.
In an embodiment, if it is determined that the user is not the target user, continuously shooting images of the user through a preset camera of the 5G television, and sending early warning information to a mobile terminal associated with the 5G television, where the early warning information includes information such as prompt voice or text, or the images of the user are sent to the mobile terminal as early warning information, and the mobile terminal includes an electronic device such as a mobile phone and a tablet computer. Or, directly displaying the image of the user and playing a preset alarm on the display interface of the 5G television to prompt the user to fall into the monitoring range.
Step S103, if the user is determined to be the target user, acquiring the image of the current target user.
If the user is determined to be the target user, the image of the current target user is obtained through a preset camera, and the image can be a whole body image or a face image of the user. An example is that when it is determined that the user is the target user, it is determined whether the body of the target user is within a preset range of a preset camera, and if it is determined that the whole body of the target user is within the preset range of the preset camera, a whole body image of the target user is captured through the preset camera. Or when the user is determined to be the target user, determining whether the face of the target user is in a preset range in front of a preset camera, and if the face of the target user is determined to be in the preset range in front of the preset camera, shooting the face image of the target user through the preset camera.
And step S104, determining the state information of the target user according to the image.
And if the facial image of the target user is acquired, analyzing the facial image of the target user to determine the state information of the current user. The method comprises the steps of analyzing a facial image of a target user through a preset micro expression model, extracting micro expression features of the target user, matching the extracted micro expression features with the preset micro expression features, obtaining state information of a preset micro expression feature identifier corresponding to the micro expression features, and determining the state information of the current target user, wherein the state information of the user comprises a safe state and a dangerous state, and the preset micro expression model is generated by training different facial images of the target user and micro expressions corresponding to the facial images in advance.
In an embodiment, as shown in fig. 4, step S104 includes sub-steps S1041 to S1043.
And a substep S1041 of determining the position of each joint point of the target user according to the image based on a preset model.
When the image of the user is obtained, based on a preset model which is a preset target detection model, the target user in the image is identified through the preset target detection model, and the positions of a head joint point, a shoulder joint point, an arm joint point, a palm joint point, a thigh joint point, a shank joint point and a sole joint point of the target user are determined.
And a substep S1042 of determining the posture information of the target user according to the positions of the joint points.
When the positions of head joint points, shoulder joint points, arm joint points, palm joint points, thigh joint points, shank joint points and sole joint points of a target user are acquired, the head position, the shoulder position, the arm position and the palm position are sequentially connected according to the sequence of the head joint points, the shoulder joint points, the arm joint points, the palm joint points, the thighs, the shanks and the soles, the body contour of the target user is acquired from the shoulder position, the thigh position, the shank position and the sole position, and the posture information of the target user is determined according to the body contour of the target user.
Determining the gesture information of the target user specifically includes: establishing a coordinate system for the image, and determining the corresponding coordinates of the positions of the joint points in the coordinate system; connecting the coordinates of the joint points according to a preset joint point connecting sequence to obtain the body contour of the target user; and determining posture information corresponding to the body contour according to the body contour.
In one embodiment, a coordinate system is established for a target user in an image, coordinates of positions of all joint points in the coordinate system are determined, head coordinates, shoulder coordinates, arm coordinates, palm coordinates, shoulder coordinates, thigh coordinates, calf coordinates and sole coordinates are sequentially connected according to the sequence of the joint points such as a head, a shoulder, an arm, a palm, a thigh, a calf and a sole, the width and height of the head, the width and height of the shoulder, the width and height of the arm, the width and height of the palm, the width and height of the thigh, the width and height of the calf and the width and height of the sole in a human body characteristic table are obtained through a preset human body characteristic table of the target user, the body profile of the target user is obtained, the obtained body profile is matched with preset body profiles in a preset body profile library, and a preset body profile matched with the body profile is determined, and acquiring posture information corresponding to the preset body contour. The preset body contour library comprises different body contours of the target user and posture information corresponding to the body contours, such as sitting postures, lying postures and the like.
And a substep S1043 of determining the state information of the target user according to the posture information.
When the posture information of the target user is acquired, matching the posture information of the target user with preset postures in a preset posture library to acquire preset posture identification matched with the posture information of the target user, and determining the state information of the current target user through the preset posture identification, wherein if the posture of the target user is a standing posture and a sitting posture, the target user is determined to be in a safe state, and if the posture of the target user is a lying posture, the target user is determined to be in a dangerous state.
And S105, sending early warning information according to the state information of the target user and the mode information of the current 5G television.
When the state information of the target user is determined to be a dangerous state, sending early warning information based on the mode information of the current 5G television, specifically, if the state information of the target user is determined to be the dangerous state and the current 5G television is in a play mode as shown in fig. 2, displaying the early warning information on a play interface of the 5G television; and if the state information of the target user is determined to be a dangerous state and the 5G television is in the sleep mode shown in the figure 3 currently, sending early warning information to a mobile terminal associated with the 5G television.
In a real-time example, when the information of the target user is in a dangerous state, if the current 5G television is determined to be in a play mode, displaying early warning information on a play interface of the 5G television, wherein the early warning information includes displaying an image of the current target user on the play interface, or displaying preset characters or an alarm bell on the play interface. And if the current 5G television is determined to be in the sleep mode, sending early warning information to a mobile terminal associated with the 5G television, wherein the early warning information comprises characters, images and the like. The mobile terminal comprises electronic equipment such as a mobile phone and a tablet personal computer.
In the method, the mode information of the current 5G television is determined, and the early warning information is sent through a user in a preset camera detection range of the 5G television if the user is not the target user. If the user is the target user, the image of the current target user is obtained, the state information of the current target user is obtained according to the image, and the early warning information is sent based on the state information of the current target user and the mode information of the current 5G television, so that the early warning information can be sent through the 5G television when the target user is in a dangerous state by obtaining the state information of the target user, and the security effect of the intelligent television is improved.
Referring to fig. 5, fig. 5 is a schematic block diagram of a structure of a 5G television according to an embodiment of the present application.
As shown in fig. 5, the 5G tv 300 includes a processor 302, a memory 303, a communication interface 304, a camera 305, and a display 306, which are connected by a system bus 301, wherein the memory may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any of the 5G television-based early warning methods.
The processor is used for providing calculation and control capability and supporting the operation of the whole 5G television.
The memory provides an environment for execution of a computer program in a non-volatile storage medium, which when executed by the processor, causes the processor to perform any of the 5G television-based early warning methods.
The communication interface 304 is used for communication. Those skilled in the art will appreciate that the structure shown in fig. 5 is a block diagram of only a portion of the structure relevant to the present application, and does not constitute a limitation on the 5G tv to which the present application is applied, and a specific 5G tv may include more or less components than those shown in the drawings, or combine some components, or have a different arrangement of components.
It should be understood that the bus 301 is, for example, an I2C (Inter-Integrated Circuit) bus, the Memory 303 may be a Flash chip, a Read-Only Memory (ROM), a magnetic disk, an optical disk, a usb disk, or a removable hard disk, the Processor 302 may be a Central Processing Unit (CPU), the Processor may also be other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., and the camera 305 may be a gun camera, an all-in-one camera, a dome camera, a ball camera, a hidden camera, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of:
determining the mode information of the current 5G television, and detecting a corresponding preset range through a preset camera;
when detecting that the user appears in the preset range, determining whether the user is a target user;
if the user is determined to be the target user, acquiring an image of the current target user;
determining the state information of the target user according to the image;
and sending early warning information according to the state information of the target user and the mode information of the current 5G television.
In one embodiment, the processor, in implementing determining mode information for the current 5G television, is configured to implement:
detecting whether the 5G television is in a running state;
if the 5G television is in the running state, determining that the 5G television is in a play mode currently;
and if the 5G television is not in the running state, determining that the 5G television is in the sleep mode currently.
In one embodiment, when the processor detects the corresponding preset range through the preset camera, the processor is configured to:
when the current 5G television is determined to be in a play mode, receiving an operation instruction, starting a preset camera based on the operation instruction, and detecting a corresponding preset range in real time through the preset camera;
and when the 5G television is determined to be in the sleep mode currently, starting a preset camera, and detecting a corresponding preset range in real time through the preset camera.
In one embodiment, the processor is configured to, when detecting that a user is present in the preset range, determine whether the user is a target user, implement:
when detecting that a user appears in the preset range, carrying out facial recognition on the user to acquire facial features of the user;
matching the facial features with a preset facial feature library, and determining whether the facial features are matched with preset facial features in the preset facial feature library;
and if the facial features are matched with the preset facial features, determining the user as a target user.
In one embodiment, the processor, in enabling determination of the status information of the target user from the image, is configured to enable:
determining the positions of all joint points of the target user according to the images based on a preset model;
determining posture information of the target user according to the position of each joint point;
determining state information of the target user according to the posture information, wherein the state information comprises a safe state and a dangerous state.
In one embodiment, the processor, in enabling determination of the gesture information of the target user based on the position of each of the joints, is configured to enable:
establishing a coordinate system for the image, and determining the corresponding coordinates of the positions of the joint points in the coordinate system;
connecting the coordinates of the joint points according to a preset joint point connecting sequence to obtain the body contour of the target user;
and determining posture information corresponding to the body contour according to the body contour.
In one embodiment, when the processor is configured to transmit the warning information according to the state information of the target user and the mode information of the current 5G television, the processor is configured to:
if the state information of the target user is determined to be a dangerous state and the current 5G television is in a play mode, displaying early warning information on a play interface of the 5G television;
and if the state information of the target user is determined to be a dangerous state and the 5G television is in a sleep mode currently, sending early warning information to a mobile terminal associated with the 5G television.
In one embodiment, the processor, in effecting determining whether the user is a target user, is operative to effect:
and if the user is determined not to be the target user, continuously shooting the image of the user through the preset camera, and sending early warning information to a mobile terminal associated with the 5G television or displaying the image of the user on a display interface of the 5G television and playing a preset alarm bell.
It should be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the 5G television described above may refer to a corresponding process in the foregoing embodiment of the warning method based on a 5G television for a 5G television, and details are not described here again.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, where the computer program includes program instructions, and a method implemented when the program instructions are executed can refer to various embodiments of the 5G television-based early warning method of the present application for the 5G television.
The computer-readable storage medium may be an internal storage unit of the 5G television described in the foregoing embodiment, for example, a hard disk or a memory of the 5G television. The computer readable storage medium may also be an external storage device of the 5G television, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the 5G television.
It is to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments. While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and various equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A pre-warning method based on a 5G television is characterized by comprising the following steps:
determining the mode information of the current 5G television, and detecting a corresponding preset range through a preset camera;
when detecting that the user appears in the preset range, determining whether the user is a target user;
if the user is determined to be the target user, acquiring an image of the current target user;
determining the state information of the target user according to the image;
and sending early warning information according to the state information of the target user and the mode information of the current 5G television.
2. The method of claim 1, wherein the determining mode information of the current 5G television comprises:
detecting whether the 5G television is in a running state;
if the 5G television is in the running state, determining that the 5G television is in a play mode currently;
and if the 5G television is not in the running state, determining that the 5G television is in the sleep mode currently.
3. The method of claim 2, wherein the detecting the corresponding preset range by the preset camera comprises:
when the current 5G television is determined to be in a play mode, receiving an operation instruction, starting a preset camera based on the operation instruction, and detecting a corresponding preset range in real time through the preset camera;
and when the 5G television is determined to be in the sleep mode currently, starting a preset camera, and detecting a corresponding preset range in real time through the preset camera.
4. The warning method according to claim 1, wherein the determining whether the user is a target user when detecting that the user is present in the preset range comprises:
when detecting that a user appears in the preset range, carrying out facial recognition on the user to acquire facial features of the user;
matching the facial features with a preset facial feature library, and determining whether the facial features are matched with preset facial features in the preset facial feature library;
and if the facial features are matched with the preset facial features, determining the user as a target user.
5. The warning method of claim 3, wherein the determining the status information of the target user from the image comprises:
determining the positions of all joint points of the target user according to the images based on a preset model;
determining posture information of the target user according to the position of each joint point;
determining state information of the target user according to the posture information, wherein the state information comprises a safe state and a dangerous state.
6. The warning method as claimed in claim 5, wherein the determining the posture information of the target user according to the position of each joint point comprises:
establishing a coordinate system for the image, and determining the corresponding coordinates of the positions of the joint points in the coordinate system;
connecting the coordinates of the joint points according to a preset joint point connecting sequence to obtain the body contour of the target user;
and determining posture information corresponding to the body contour according to the body contour.
7. The family early warning method based on the 5G television as claimed in claim 5, wherein the sending early warning information according to the state information of the target user and the mode information of the current 5G television comprises:
if the state information of the target user is determined to be a dangerous state and the current 5G television is in a play mode, displaying early warning information on a play interface of the 5G television;
and if the state information of the target user is determined to be a dangerous state and the 5G television is in a sleep mode currently, sending early warning information to a mobile terminal associated with the 5G television.
8. The method according to any one of claims 1 to 7, wherein after determining whether the user is a target user, further comprising:
and if the user is determined not to be the target user, continuously shooting the image of the user through the preset camera, and sending early warning information to a mobile terminal associated with the 5G television or displaying the image of the user on a display interface of the 5G television and playing a preset alarm bell.
9. A 5G tv, characterized in that the 5G tv comprises a preset camera, a display, a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the 5G tv-based warning method according to any one of claims 1 to 8.
10. A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when being executed by a processor, implements the steps of the 5G television-based alerting method according to any one of claims 1 to 8.
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