CN109254809B - Differentiated application loading method and device based on face recognition and terminal equipment - Google Patents
Differentiated application loading method and device based on face recognition and terminal equipment Download PDFInfo
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
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- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The application discloses a differentiated application loading method and device based on face recognition and a terminal device, wherein the method comprises the following steps: when it is monitored that a user triggers the bright screen unlocking of the terminal equipment, starting a front-facing camera, and acquiring an image through the front-facing camera; carrying out face recognition on the acquired image to obtain the authority type of the user in the image; determining a corresponding application program list according to the authority type of the user, wherein the application program list comprises at least one application program to be loaded; and controlling the terminal equipment to load at least one application program to be loaded to the desktop of the terminal equipment. The method can load different application programs to the desktop of the terminal equipment aiming at different users, namely different application program access authorities are set aiming at different users, so that the personalized application program access requirements of different users are met, and the privacy safety of the users is effectively protected.
Description
Technical Field
The application relates to the technical field of mobile terminals, in particular to a differentiated application loading method and device based on face recognition and a terminal device.
Background
With the continuous development of terminal technology and mobile communication technology, terminal devices (mobile phones, tablet computers, etc.) have become indispensable communication tools in people's daily life.
In some scenarios, the terminal device of the user is often used by others, and since some Application programs (APP) in the terminal device relate to the privacy of the user, when others use the terminal device of the user, the privacy of the user may be revealed. Alternatively, when a parent and a child use one terminal device together, the parent may not want the child to use a game-type application or a video-type application in the terminal device, but may use only a learning-type application.
Therefore, how to provide personalized application program usage rights, thereby protecting user privacy becomes a difficult problem to be solved urgently.
Disclosure of Invention
The application provides a method and a device for loading differentiated applications based on face recognition and a terminal device, so that different applications are loaded to a desktop of the terminal device for different users, namely different application access permissions are set for the different users, and therefore personalized application access requirements of the different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
An embodiment of one aspect of the present application provides a differentiated application loading method based on face recognition, including:
when it is monitored that a user triggers bright screen unlocking of terminal equipment, a front-facing camera is started, and image acquisition is carried out through the front-facing camera;
carrying out face recognition on the acquired image to obtain the type of the user in the image;
determining a corresponding application program list according to the type of the user, wherein the application program list comprises at least one application program to be loaded; and
and controlling the terminal equipment to load the at least one application program to be loaded to a desktop of the terminal equipment.
According to the differentiated application loading method based on face recognition, when it is monitored that a user triggers bright screen unlocking of terminal equipment, a front-facing camera is started, image acquisition is carried out through the front-facing camera, then face recognition is carried out on the acquired image so as to obtain the type of the user in the image, then a corresponding application program list is determined according to the type of the user, wherein the application program list comprises at least one application program to be loaded, and finally the terminal equipment is controlled to load the at least one application program to be loaded onto a desktop of the terminal equipment. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and therefore personalized application access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
In another aspect of the present application, an embodiment provides a differentiated application loading device based on face recognition, including:
the image acquisition module is used for starting the front camera when the condition that a user triggers the bright screen unlocking of the terminal equipment is monitored, and acquiring an image through the front camera;
the image recognition module is used for carrying out face recognition on the collected image so as to obtain the type of the user in the image;
the application determining module is used for determining a corresponding application program list according to the type of the user, wherein the application program list comprises at least one application program to be loaded; and
and the application loading module is used for controlling the terminal equipment to load the at least one application program to be loaded to the desktop of the terminal equipment.
According to the differentiated application loading device based on the face recognition, when it is monitored that a user triggers bright screen unlocking of terminal equipment, the front-facing camera is started, image collection is conducted through the front-facing camera, then face recognition is conducted on collected images to obtain the type of the user in the images, then a corresponding application program list is determined according to the type of the user, wherein the application program list comprises at least one application program to be loaded, and finally the terminal equipment is controlled to load the at least one application program to be loaded onto a desktop of the terminal equipment. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and therefore personalized application access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
An embodiment of another aspect of the present application provides a terminal device, including: the application loading method based on the face recognition is characterized in that when the processor executes the program, the loading method based on the face recognition differentiation application as proposed in the previous embodiment of the application is realized.
In another aspect of the present application, a non-transitory computer-readable storage medium is provided, on which a computer program is stored, where the computer program is executed by a processor to implement a differential application loading method based on face recognition as set forth in the foregoing embodiments of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a differentiated application loading method based on face recognition according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a differentiated application loading method based on face recognition according to a second embodiment of the present application;
fig. 3 is a schematic flowchart of a differentiated application loading method based on face recognition according to a third embodiment of the present application;
fig. 4 is a schematic flowchart of a differentiated application loading method based on face recognition according to a fourth embodiment of the present application;
fig. 5 is a schematic structural diagram of a differentiated application loading device based on face recognition according to a fifth embodiment of the present application;
fig. 6 is a schematic structural diagram of a differentiated application loading device based on face recognition according to a sixth embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The application mainly aims at the technical problem that user privacy in an application program is easy to leak in the prior art, and provides a differentiated application loading method based on face recognition.
According to the differentiated application loading method based on face recognition, when it is monitored that a user triggers bright screen unlocking of terminal equipment, a front-facing camera is started, image acquisition is carried out through the front-facing camera, then face recognition is carried out on the acquired image so as to obtain the type of the user in the image, then a corresponding application program list is determined according to the type of the user, wherein the application program list comprises at least one application program to be loaded, and finally the terminal equipment is controlled to load the at least one application program to be loaded onto a desktop of the terminal equipment. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and therefore personalized application access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
The following describes a differentiated application loading method, a differentiated application loading device and terminal equipment based on face recognition according to an embodiment of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a differentiated application loading method based on face recognition according to an embodiment of the present application.
As shown in fig. 1, the differentiated application loading method based on face recognition may include the following steps:
In this embodiment of the application, a monitor may be disposed in the terminal device to monitor the screen-up unlocking operation triggered by the user, for example, the user may perform screen-up unlocking by triggering a biometric feature recognition module on the terminal device, such as a fingerprint recognition module, a face recognition module, or the like, or the user may perform screen-up unlocking by pressing a power key on the terminal device and/or triggering a sliding operation, or the user may perform screen-up unlocking by pressing a power key on the terminal device and/or inputting a digital password, or the user may trigger screen-up unlocking of the terminal device by inputting a wakeup word, which is not limited thereto.
When the monitor monitors that the user triggers the bright screen unlocking of the terminal equipment, the front-facing camera can be started, and then image acquisition is carried out through the front-facing camera.
And 102, carrying out face recognition on the acquired image to obtain the type of the user in the image.
In the embodiment of the application, the collected image can be subjected to face recognition based on a face recognition technology, so that the type of a user in the image is determined.
As a possible implementation manner, the face images of different users can be pre-input in the terminal device, then face features corresponding to the face images of different users are extracted based on a face recognition technology, the extracted face features are used as face features of a sample, and then the face features of the sample are stored in a database of the terminal device.
When the front-facing camera acquires an image, the acquired image can be identified based on a face identification technology, the face characteristics of the user in the image are determined, then the face characteristics of the user in the image are matched with the face characteristics of all samples in the database, whether the face characteristics of the user in the image are successfully matched with the face characteristics of one sample in the database or not is judged, and if yes, the type of the matched sample is used as the type of the user in the image.
In the embodiment of the application, when the types of the users are different, the corresponding application program lists may be the same or different. For example, when the user is determined to be a home according to the type of the user, all installed applications in the terminal device may be included in the corresponding application list, and when the user is determined to be a child according to the type of the user, applications in the learning class may be included in the corresponding application list. Or, when the owner of the user, which is not the terminal device, is determined according to the type of the user, the corresponding application list may not include the payment-type application and/or the social-type application, and when the owner of the user is determined according to the type of the user, the corresponding application list may include all installed applications in the terminal device.
As a possible implementation manner, the corresponding relationship between the types of different users and different application program lists may be pre-established, and after the type of the user is determined, the application program list corresponding to the type of the user may be obtained by querying the corresponding relationship.
And 104, controlling the terminal equipment to load at least one application program to be loaded to the desktop of the terminal equipment.
In the embodiment of the application, after the application list corresponding to the type of the user is determined, the terminal device can be controlled, and at least one application to be loaded in the application list is loaded to an interface of the terminal device, so that the user can only view or access the application displayed on a desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and personalized requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using a face recognition technology, and the privacy and the safety of the users are effectively protected.
For example, the management service may be applied by triggering the system: the method comprises the steps that an Activity Management Service (AMS) and a Package Management Service (PMS) are started to update an application program list, a desktop of the terminal equipment is notified through system broadcasting, at least one application program to be loaded in the application program list is refreshed through at least one application program to be loaded in the application program list, and the at least one application program to be loaded can be loaded to the desktop of the terminal equipment.
Further, after the type of the user is determined, the authority of the user can be determined, and corresponding management control is performed on the terminal device according to the authority of the user and the control instruction of the user, for example, when the owner of the user, which is not the terminal device, is determined according to the type of the user, the authority of the user can be a common authority, so that the user can only have the authority of viewing the application program, but does not have the authority of downloading, installing, deleting the application program, and the like; when the user is determined to be the owner of the terminal device according to the type of the user, the authority of the user may be the management authority, and therefore, the user may have the authority of downloading, installing, deleting the application program, and the like.
According to the differentiated application loading method based on face recognition, when it is monitored that a user triggers bright screen unlocking of terminal equipment, a front-facing camera is started, image acquisition is carried out through the front-facing camera, then face recognition is carried out on the acquired image so as to obtain the type of the user in the image, then a corresponding application program list is determined according to the type of the user, wherein the application program list comprises at least one application program to be loaded, and finally the terminal equipment is controlled to load the at least one application program to be loaded onto a desktop of the terminal equipment. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and therefore personalized application access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
It should be noted that, in some scenarios, when the terminal device is turned on, a situation of switching between users may occur, and at this time, in order to ensure privacy security of the user, the identity of the user using the terminal device may be verified. The above process is described in detail below with reference to fig. 2.
Fig. 2 is a schematic flowchart of a differentiated application loading method based on face recognition according to a second embodiment of the present application.
As shown in fig. 2, the differentiated application loading method based on face recognition may include the following steps:
In order to save the energy consumption of the terminal device and improve the cruising ability of the terminal device, in the embodiment of the application, when the user does not trigger the bright screen unlocking of the terminal device, no processing is required.
And step 203, starting the front camera and acquiring an image through the front camera.
The process of step 203 may refer to the process of step 102 in the above embodiments, and is not described herein again.
And 204, carrying out face recognition on the acquired image to obtain the face characteristics of the user in the image.
Optionally, a face recognition technology may be used to perform face recognition on the acquired image to obtain the face features of the user in the image.
In this embodiment of the application, when the face feature of the user in the image is successfully matched with the face feature of one sample of the at least one sample, it indicates that the user has the authority to use the terminal device, at this time, step 207 may be triggered, and when the face feature of the user in the image fails to be matched with the face feature of any sample of the at least one sample, step 211 may be executed in order to ensure privacy and security of the user.
And step 207, determining the type of the matched sample, and taking the type of the matched sample as the type of the user in the image.
And 208, determining a corresponding application program list according to the type of the user, wherein the application program list comprises at least one application program to be loaded.
And step 209, controlling the terminal device to load at least one application program to be loaded to the desktop of the terminal device.
The process of step 208 plus 209 may refer to the process of step 103 plus 104 in the above embodiment, which is not described herein again.
In the embodiment of the present application, the stability detecting component may be a related sensor, such as a gyroscope, a vibration sensor, or the like.
It can be understood that, when the terminal device is on the screen, if the user of the terminal device switches, the terminal device will be in an unstable state, and therefore, in this application, when the stability detection component detects that the terminal device is currently in the stable state, at this time, no processing may be performed, and when the stability detection component detects that the terminal device is not currently in the stable state, step 211 may be performed in order to ensure privacy security of the user.
In the embodiment of the application, when the stability detection component detects that the terminal device is in the stable state again, at this time, the step of starting the front-facing camera and acquiring an image through the front-facing camera may be executed, that is, the identity type of a user using the terminal device is checked, then a corresponding application program is loaded to the desktop of the terminal device according to the type of the user, and when the stability detection component detects that the terminal device is not in the stable state yet, step 211 may be executed in order to ensure the privacy safety of the user.
The differentiated application loading method based on face recognition can load different application programs to the desktop of the terminal device aiming at different users, namely different application program access permissions are set aiming at different users, so that personalized application program access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected. Furthermore, when the stability detection component detects that the terminal equipment is not in a stable state currently, the control terminal equipment prohibits the application program from being loaded on the desktop, and privacy safety of the user can be further guaranteed.
As a possible implementation, when the stability detecting component is a gyroscope, referring to fig. 3, step 210 may specifically include the following sub-steps:
It can be understood that, when the terminal device is on the screen, if the user of the terminal device switches, the terminal device will shake greatly within the preset time period, and therefore, in the application, whether the shake amplitude of the gyroscope is stable can be judged according to the component values of each axis of the gyroscope recorded within the preset time period.
Specifically, when the gyroscope detects the displacement amount of the terminal device in each direction, which is recorded in the present application as that each axis component value is less than or equal to the preset offset amount, the terminal device is considered to be in a stable state at present, and at this time, it can be determined that the jitter amplitude of the gyroscope is stable, and when the gyroscope detects that the displacement amount of the terminal device in any direction is greater than the preset offset amount, that is, any one of the axis component values is greater than the preset offset amount, the terminal device is considered to be not in the stable state at present, and at this time, it can be determined that the jitter amplitude of the gyroscope is not stable.
The preset offset may be preset in a built-in program of the terminal device, or may be set by a user, which is not limited to this.
And 303, returning to the step of triggering the gyroscope to record the component values of each axis of the gyroscope when the jitter amplitude of the gyroscope is judged not to be stable.
In this embodiment of the application, when it is determined that the jitter amplitude of the gyroscope is not stable, it indicates that the terminal device is not currently in a stable state, and at this time, the step 301 may be executed again until the terminal device is in a stable state.
And 304, when the shaking amplitude of the gyroscope is judged to be stable, determining that the terminal equipment is in a stable state at present.
As another possible implementation, when the stability detecting component is a vibration sensor, referring to fig. 4, step 210 may specifically include the following sub-steps:
In the embodiment of the application, the vibration sensor is used for detecting whether the terminal equipment is in a vibration state. When the vibration sensor is in a working state, the motion data of the terminal equipment can be collected, and the collected motion data is converted into an electric signal.
And 402, judging whether the terminal equipment is in a stable state currently or not according to the output signal of the vibration sensor.
In the embodiment of the application, whether the terminal equipment is in a stable state at present can be judged according to the output signal of the vibration sensor. For example, according to the output signal of the vibration sensor, the electric quantity of the output voltage, the current and the like can be determined, when the output voltage and the current exceed preset thresholds, the terminal device can be determined not to be in a stable state currently, and when the output voltage and the current do not exceed the preset thresholds, the terminal device can be determined to be in the stable state currently.
The preset threshold may be preset in a built-in program of the terminal device, or may be set by a user, which is not limited to this.
In order to implement the above embodiments, the present application further provides a differentiated application loading device based on face recognition.
Fig. 5 is a schematic structural diagram of a differentiated application loading device based on face recognition according to a fifth embodiment of the present application.
As shown in fig. 5, the differentiated application loading apparatus 100 based on face recognition includes: an image acquisition module 110, an image recognition module 120, an application determination module 130, and an application loading module 140. Wherein,
the image acquisition module 110 is configured to start a front-facing camera when it is monitored that a user triggers bright screen unlocking of the terminal device, and perform image acquisition through the front-facing camera.
An image recognition module 120, configured to perform face recognition on the acquired image to obtain a type of the user in the image.
The application determining module 130 is configured to determine a corresponding application program list according to the type of the user, where the application program list includes at least one application program to be loaded.
The application loading module 140 is configured to control the terminal device to load the at least one application program to be loaded to a desktop of the terminal device.
Further, in a possible implementation manner of the embodiment of the present application, referring to fig. 6, on the basis of the embodiment shown in fig. 5, the differentiated application loading apparatus 100 based on face recognition may further include: a detection module 150 and a control module 160.
The detection module 150 is configured to trigger the stability detection component to detect whether the terminal device is currently in a stable state after it is monitored that the user triggers the bright-screen unlocking of the terminal device.
The control module 160 is configured to control the terminal device to prohibit the application from being loaded onto the desktop when it is detected that the terminal device is not currently in the stable state.
The image acquisition module 110 is further configured to start a front-facing camera when it is detected that the terminal device is currently in a stable state, and acquire an image through the front-facing camera.
As a possible implementation manner, the detection module 150 is specifically configured to: triggering a gyroscope to record component values of all axes of the gyroscope; judging whether the jitter amplitude of the gyroscope is stable or not according to the component values of all axes of the gyroscope recorded in a preset time period; when the jitter amplitude of the gyroscope is judged to be unstable, the step of triggering the gyroscope to record the component values of all axes of the gyroscope is returned to; and when the shaking amplitude of the gyroscope is judged to be stable, determining that the terminal equipment is in a stable state at present.
As another possible implementation, the stability detection component is a vibration sensor; the detection module 150 is specifically configured to: receiving an output signal of a vibration sensor; and judging whether the terminal equipment is in a stable state currently or not according to the output signal of the vibration sensor.
As a possible implementation manner, the image recognition module 120 is specifically configured to: carrying out face recognition on the acquired image to obtain the face characteristics of the user in the image; matching the facial features of the user in the image with the facial features of at least one sample established in advance; and when the facial features of the user in the image are successfully matched with the facial features of one sample in the at least one sample, determining the type of the matched sample, and taking the type of the matched sample as the authority type of the user in the image.
As a possible implementation manner, the control module 160 is further configured to control the terminal device to prohibit the application program from being loaded onto the desktop when the facial features of the user in the image and the facial features of any sample in the at least one sample are all failed to be matched.
It should be noted that the foregoing explanation on the embodiment of the differentiated application loading method based on face recognition is also applicable to the differentiated application loading apparatus 100 based on face recognition in this embodiment, and details are not repeated here.
According to the differentiated application loading device based on the face recognition, when it is monitored that a user triggers bright screen unlocking of terminal equipment, the front-facing camera is started, image collection is conducted through the front-facing camera, then face recognition is conducted on collected images to obtain the type of the user in the images, then a corresponding application program list is determined according to the type of the user, wherein the application program list comprises at least one application program to be loaded, and finally the terminal equipment is controlled to load the at least one application program to be loaded onto a desktop of the terminal equipment. Therefore, different applications can be loaded to the desktop of the terminal equipment for different users, namely different application access permissions are set for different users, and therefore personalized application access requirements of different users are met. In addition, when the user triggers the bright screen unlocking, different users can access different application programs by using the face recognition technology, and the privacy and the safety of the users are effectively protected.
In order to implement the foregoing embodiment, the present application further provides a terminal device, including: the present invention relates to a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for loading a differentiated application based on face recognition according to the embodiments of the present application.
In order to achieve the foregoing embodiments, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for loading a differentiated application based on face recognition as proposed in the foregoing embodiments of the present application.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (12)
1. A differential application loading method based on face recognition is characterized by comprising the following steps:
when it is monitored that a user triggers the bright screen unlocking of the terminal equipment, a stability triggering detection component detects whether the terminal equipment is in a stable state currently;
if the terminal equipment is detected to be in a stable state currently, starting a front camera, and acquiring an image through the front camera;
carrying out face recognition on the acquired image to obtain the type of the user in the image;
determining a corresponding application program list according to the type of the user, wherein the application program list comprises at least one application program to be loaded;
controlling the terminal equipment to load the at least one application program to be loaded to a desktop of the terminal equipment;
and if the terminal equipment is detected not to be in a stable state currently, controlling the terminal equipment to prohibit the application program from being loaded on the desktop.
2. The method of claim 1, wherein the stability detection component is a gyroscope; wherein, triggering the stability detection subassembly and detecting whether terminal equipment is in stable state at present includes:
triggering a gyroscope to record component values of all axes of the gyroscope;
judging whether the jitter amplitude of the gyroscope is stable or not according to the component values of all axes of the gyroscope recorded in a preset time period;
when the jitter amplitude of the gyroscope is judged to be unstable, the step of triggering the gyroscope to record the component values of all axes of the gyroscope is returned to;
and when the shaking amplitude of the gyroscope is judged to be stable, determining that the terminal equipment is in a stable state at present.
3. The method of claim 1, wherein the stability detection component is a vibration sensor; wherein, triggering the stability detection subassembly and detecting whether terminal equipment is in stable state at present includes:
receiving an output signal of a vibration sensor;
and judging whether the terminal equipment is in a stable state currently or not according to the output signal of the vibration sensor.
4. The method of claim 1, wherein the performing face recognition on the captured image to obtain the type of the user in the image comprises:
carrying out face recognition on the acquired image to obtain the face characteristics of the user in the image;
matching the facial features of the user in the image with the facial features of at least one sample established in advance;
when the facial features of the user in the image are successfully matched with the facial features of one sample in the at least one sample, determining the type of the matched sample, and taking the type of the matched sample as the type of the user in the image.
5. The method of claim 4, further comprising:
and when the matching of the facial features of the user in the image and the facial features of any sample in the at least one sample fails, controlling the terminal equipment to prohibit the application program from being loaded on the desktop.
6. A differentiated application loading device based on face recognition is characterized by comprising:
the image acquisition module is used for starting the front camera when the condition that a user triggers the bright screen unlocking of the terminal equipment is monitored, and acquiring an image through the front camera;
the image recognition module is used for carrying out face recognition on the collected image so as to obtain the type of the user in the image;
the application determining module is used for determining a corresponding application program list according to the type of the user, wherein the application program list comprises at least one application program to be loaded; and
the application loading module is used for controlling the terminal equipment to load the at least one application program to be loaded to a desktop of the terminal equipment;
the detection module is used for triggering the stability detection component to detect whether the terminal equipment is in a stable state at present after the condition that the user triggers the bright screen unlocking of the terminal equipment is monitored;
the control module is used for controlling the terminal equipment to prohibit the application program from being loaded on the desktop when the terminal equipment is detected not to be in a stable state currently;
the image acquisition module is further used for starting the front camera when detecting that the terminal equipment is currently in a stable state, and acquiring images through the front camera.
7. The apparatus of claim 6, wherein the stability detection component is a gyroscope; wherein, the detection module is specifically configured to:
triggering a gyroscope to record component values of all axes of the gyroscope;
judging whether the jitter amplitude of the gyroscope is stable or not according to the component values of all axes of the gyroscope recorded in a preset time period;
when the jitter amplitude of the gyroscope is judged to be unstable, the step of triggering the gyroscope to record the component values of all axes of the gyroscope is returned to;
and when the shaking amplitude of the gyroscope is judged to be stable, determining that the terminal equipment is in a stable state at present.
8. The apparatus of claim 6, wherein the stability detection component is a vibration sensor; wherein, the detection module is specifically configured to:
receiving an output signal of a vibration sensor;
and judging whether the terminal equipment is in a stable state currently or not according to the output signal of the vibration sensor.
9. The apparatus of claim 6, wherein the image recognition module is specifically configured to:
carrying out face recognition on the acquired image to obtain the face characteristics of the user in the image;
matching the facial features of the user in the image with the facial features of at least one sample established in advance;
when the facial features of the user in the image are successfully matched with the facial features of one sample in the at least one sample, determining the type of the matched sample, and taking the type of the matched sample as the type of the user in the image.
10. The apparatus according to claim 9, wherein the control module is further configured to control the terminal device to prohibit the application from being loaded on the desktop when the facial features of the user in the image and the facial features of any of the at least one sample fail to match.
11. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for loading a differentiated application based on face recognition according to any one of claims 1 to 5 when executing the program.
12. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method for loading a differentiated application based on face recognition according to any one of claims 1 to 5.
Priority Applications (2)
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|---|---|---|---|
| CN201810866408.5A CN109254809B (en) | 2018-08-01 | 2018-08-01 | Differentiated application loading method and device based on face recognition and terminal equipment |
| PCT/CN2019/088951 WO2020024686A1 (en) | 2018-08-01 | 2019-05-29 | Facial recognition-based differential application loading method and apparatus, and terminal device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810866408.5A CN109254809B (en) | 2018-08-01 | 2018-08-01 | Differentiated application loading method and device based on face recognition and terminal equipment |
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| CN109254809A CN109254809A (en) | 2019-01-22 |
| CN109254809B true CN109254809B (en) | 2020-08-21 |
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| CN201810866408.5A Active CN109254809B (en) | 2018-08-01 | 2018-08-01 | Differentiated application loading method and device based on face recognition and terminal equipment |
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| CN109254809B (en) * | 2018-08-01 | 2020-08-21 | Oppo广东移动通信有限公司 | Differentiated application loading method and device based on face recognition and terminal equipment |
| CN110377385B (en) * | 2019-07-05 | 2022-06-21 | 深圳壹账通智能科技有限公司 | Screen display method and device and terminal equipment |
| CN111460481A (en) * | 2020-04-14 | 2020-07-28 | Oppo广东移动通信有限公司 | Privacy protection method, device and equipment based on terminal equipment |
| CN112486594A (en) * | 2020-12-01 | 2021-03-12 | 北京珞安科技有限责任公司 | Intelligent terminal self-starting method, device and system and computer equipment |
| CN113052145A (en) * | 2021-04-30 | 2021-06-29 | 中国银行股份有限公司 | Differentiation judgment method and device for face recognition result |
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| US20150015688A1 (en) * | 2013-07-09 | 2015-01-15 | HTC Corportion | Facial unlock mechanism using light level determining module |
| CN104063150A (en) * | 2014-06-30 | 2014-09-24 | 惠州Tcl移动通信有限公司 | Mobile terminal capable of entering corresponding scene modes by means of face recognition and implementation method thereof |
| CN105487648A (en) * | 2014-09-16 | 2016-04-13 | 深圳富泰宏精密工业有限公司 | Software control system and method with lens-adding function |
| US9953151B2 (en) * | 2015-02-03 | 2018-04-24 | Chon Hock LEOW | System and method identifying a user to an associated device |
| CN106295284A (en) * | 2015-05-27 | 2017-01-04 | 中兴通讯股份有限公司 | A kind of information protecting method and mobile terminal |
| CN105718780B (en) * | 2016-02-23 | 2019-05-14 | 深圳市金立通信设备有限公司 | A kind of switching method and terminal of screen locking pattern |
| CN106125959A (en) * | 2016-06-28 | 2016-11-16 | 广东欧珀移动通信有限公司 | Control method, control device and electronic installation |
| CN106155738A (en) * | 2016-06-28 | 2016-11-23 | 广东欧珀移动通信有限公司 | Control method, control device and electronic installation |
| CN109254809B (en) * | 2018-08-01 | 2020-08-21 | Oppo广东移动通信有限公司 | Differentiated application loading method and device based on face recognition and terminal equipment |
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| CN104487980A (en) * | 2012-07-25 | 2015-04-01 | 三星电子株式会社 | User terminal apparatus and control method thereof |
| CN107798231A (en) * | 2017-11-20 | 2018-03-13 | 北京小米移动软件有限公司 | Display methods, device, terminal and the storage medium of operation interface |
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| CN109254809A (en) | 2019-01-22 |
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