CN112040314B - User setting method based on face recognition, television and storage medium - Google Patents
User setting method based on face recognition, television and 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
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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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
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
- H04N21/4586—Content update operation triggered locally, e.g. by comparing the version of software modules in a DVB carousel to the version stored locally
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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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4751—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user accounts, e.g. accounts for children
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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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4753—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for user identification, e.g. by entering a PIN or password
Abstract
The invention discloses a user setting method based on face recognition, a television and a storage medium. The method comprises the steps of acquiring user face data when an updating user setting instruction sent by a current user is received, and matching the user face data with a preset face database; when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database; and when the first setting data exists, setting according to the first setting data. When the setting is needed to be updated, the authorized user is matched based on the face recognition, the setting data of the user is searched according to the pre-stored query database, the user is prevented from entering the setting menu again and being adjusted item by item, the technical problem that the operation of personalized setting of the intelligent equipment by multiple users is complex is solved, and the setting efficiency of the user is improved.
Description
Technical Field
The invention relates to the technical field of intelligent televisions, in particular to a user setting method based on face recognition, a television and a storage medium.
Background
With the development of science and technology, the application of intelligent equipment is more and more popular. When a user uses an intelligent device, the user usually performs personalized adjustment on some settings according to his/her own preferences and usage habits, such as sound and picture settings (including high-level settings of brightness, chromaticity, contrast, and picture quality, sound mode, high-low tone, and sound, picture ratio settings, font settings, subtitle settings, etc.), control settings of peripheral devices, function switch settings (including child mode switch settings), and the like.
When a plurality of users use the intelligent equipment in a family, if each user needs to adjust the settings, the user needs to call a setting menu many times, and set the setting items to be adjusted one by one, so that the operation is complicated.
Disclosure of Invention
The invention mainly aims to provide a user setting method based on face recognition, a television and a storage medium, and aims to solve the technical problem that in the prior art, the personalized setting operation of a plurality of users on intelligent equipment is complicated.
In order to achieve the above object, the present invention provides a user setting method based on face recognition, the method comprising the following steps:
when receiving an updating user setting instruction sent by a current user, acquiring user face data, and matching the user face data with a preset face database;
when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database;
and when the first setting data exists, setting according to the first setting data.
Preferably, the step of setting according to the first setting data includes:
acquiring a first automatic setting parameter in the first setting data;
when the first automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the first setting data.
Preferably, after the step of obtaining the first automatic setting parameter in the first setting data, the method further comprises:
when the first automatic setting parameter is a second preset parameter, displaying a first inquiry window to prompt the current user whether the first setting data is effective or not;
and when an effective instruction sent by the current user based on the first inquiry window is received, setting according to the first setting data.
Preferably, after the step of matching the user face data with a preset face database, the method further includes:
when the matching fails, displaying a security verification window;
when a verification instruction sent by the current user based on the safety verification window is received, judging whether verification is successful according to the verification instruction;
and when the verification is successful, storing the user face data into the preset face database.
Preferably, after the step of saving the user face data to the preset face database, the method further includes:
displaying a setting menu and second automatic setting parameters;
and when second setting data sent by the current user based on the setting menu and the second automatic setting parameters are received, storing the second setting data to a preset query database.
Preferably, after the step of saving the second setting data to the preset query database, the method further includes:
displaying a second inquiry window to prompt the current user whether the second setting data is effective or not;
and when an effective instruction sent by the current user based on the second inquiry window is received, setting according to the second setting data.
Preferably, the step of performing user setting according to the second setting data includes:
acquiring a third automatic setting parameter in the second setting data;
when the third automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the second setting data.
Preferably, after the step of displaying a second inquiry window to prompt the current user whether the second setting data is valid, the method further comprises:
when a failure instruction sent by the current user based on the second inquiry window is received, current setting data are obtained;
and setting according to the current setting data.
In addition, to achieve the above object, the present invention also provides a television set, including: the system comprises a memory, a processor and a user setting program based on face recognition, wherein the user setting program based on face recognition is stored on the memory and can run on the processor, and is configured to realize the steps of the user setting method based on face recognition.
In addition, to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a user setting program based on face recognition, and the user setting program based on face recognition realizes the steps of the user setting method based on face recognition when being executed by a processor.
The method comprises the steps of acquiring user face data when an updating user setting instruction sent by a current user is received, and matching the user face data with a preset face database; when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database; and when the first setting data exists, setting according to the first setting data. When the setting is needed to be updated, the authorized user is matched based on the face recognition, the setting data of the user is searched according to the pre-stored query database, the user is prevented from entering the setting menu again and being adjusted item by item, the technical problem that the operation of personalized setting of the intelligent equipment by multiple users is complex is solved, and the setting efficiency of the user is improved.
Drawings
Fig. 1 is a schematic structural diagram of a television set in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a user setting method based on face recognition according to the present invention;
FIG. 3 is a flowchart illustrating an embodiment of step S30 in FIG. 2;
fig. 4 is a schematic flow chart of another embodiment of the user setting method based on face recognition according to the invention based on fig. 2.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a television set in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the television set may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not intended to be limiting of a television set and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a user setup program based on face recognition.
In the television set shown in fig. 1, the network interface 1004 is mainly used for data communication with an external network; the user interface 1003 is mainly used for receiving input instructions of a user; the television set calls a user setting program based on face recognition stored in the memory 1005 through the processor 1001, and performs the following operations:
when receiving an updating user setting instruction sent by a current user, acquiring user face data, and matching the user face data with a preset face database;
when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database;
and when the first setting data exists, setting according to the first setting data.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
acquiring a first automatic setting parameter in the first setting data;
when the first automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the first setting data.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
when the first automatic setting parameter is a second preset parameter, displaying a first inquiry window to prompt the current user whether the first setting data is effective or not;
and when an effective instruction sent by the current user based on the first inquiry window is received, setting according to the first setting data.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
when the matching fails, displaying a security verification window;
when a verification instruction sent by the current user based on the safety verification window is received, judging whether verification is successful according to the verification instruction;
and when the verification is successful, storing the user face data into the preset face database.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
displaying a setting menu and second automatic setting parameters;
and when second setting data sent by the current user based on the setting menu and the second automatic setting parameters are received, storing the second setting data to a preset query database.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
displaying a second inquiry window to prompt the current user whether the second setting data is effective or not;
and when an effective instruction sent by the current user based on the second inquiry window is received, setting according to the second setting data.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
acquiring a third automatic setting parameter in the second setting data;
when the third automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the second setting data.
Further, the processor 1001 may call a user setting program based on face recognition stored in the memory 1005, and also perform the following operations:
when a failure instruction sent by the current user based on the second inquiry window is received, current setting data are obtained;
and setting according to the current setting data.
In the embodiment, when an update user setting instruction sent by a current user is received, user face data is obtained and matched with a preset face database; when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database; and when the first setting data exists, setting according to the first setting data. When the setting is needed to be updated, the authorized user is matched based on the face recognition, the setting data of the user is searched according to the pre-stored query database, the user is prevented from entering the setting menu again and being adjusted item by item, the technical problem that the operation of personalized setting of the intelligent equipment by multiple users is complex is solved, and the setting efficiency of the user is improved.
Based on the hardware structure, the embodiment of the user setting method based on the face recognition is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of an embodiment of a user setting method based on face recognition according to the present invention.
In one embodiment, the user setting method based on face recognition includes the following steps:
s10: when receiving an updating user setting instruction sent by a current user, acquiring user face data, and matching the user face data with a preset face database;
it can be understood that the execution subject of the present embodiment is an intelligent device, and the intelligent device is an electronic device with computing processing capability, for example: the present embodiment is not limited to this, and the devices such as a smart television, a tablet computer, or a notebook computer are used.
Since the user of the smart device is constantly changing in the case of a multi-user, the current user can be understood as the user who is performing the setting of the smart device.
It should be noted that the user face data refers to face data of a current user, and the preset face database refers to a face database stored in the intelligent device in advance. Before setting, the face data of a plurality of users needs to be stored in a preset face database.
In specific implementation, an automatic user of the intelligent device sets the function switch to be on, the camera is turned on, and when the face is recognized to enter a shooting range, the bullet frame inquires whether the user setting is updated. If the user chooses no, the process ends. And if the user selects to update the user setting, acquiring the face data of the user, and matching the face data with a face database stored in advance.
S20: when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database;
it can be understood that the preset query database refers to a query database pre-stored in the intelligent device, and before user setting, setting data of multiple users needs to be stored in the preset query database.
When a plurality of users set data, the users can enter a setting menu, a satisfactory setting effect can be obtained by adjusting the display effect in real time, and meanwhile, automatic setting parameters such as priority sequencing and inquiry can be set. The priority ranking means that the setting data are set according to the priority of the user, and the inquiry means that an inquiry window is displayed to inquire whether the setting data are applied immediately.
In a specific implementation, the first setting data may be obtained by searching in a preset query database according to the face data of the user, or by searching in the preset query database according to the user name, and the specific search method is determined according to a data association form in the preset query database, which is not limited in this embodiment.
S30: and when the first setting data exists, setting according to the first setting data.
It should be noted that, when the first setting data exists in the preset database, the first setting data can be directly obtained from the preset database and set, so that after the user stores the own setting data for the first time, if the user needs to reset, the user only needs to perform face recognition matching, the intelligent device can automatically complete the setting, the user does not need to re-open the setting menu to set the setting item by item, and the user operation is simplified.
In the embodiment, when an update user setting instruction sent by a current user is received, user face data is obtained and matched with a preset face database; when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database; and when the first setting data exists, setting according to the first setting data. When the setting is needed to be updated, the authorized user is matched based on the face recognition, the setting data of the user is searched according to the pre-stored query database, the user is prevented from entering the setting menu again and being adjusted item by item, the technical problem that the operation of personalized setting of the intelligent equipment by multiple users is complex is solved, and the setting efficiency of the user is improved.
Further, as shown in fig. 3, fig. 3 is a schematic flowchart of an embodiment of step S30 in fig. 2, in this embodiment, step S30 includes:
s31: acquiring a first automatic setting parameter in the first setting data;
s32: when the first automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
s33: judging whether the priority of the current user is higher than that of the second user;
s34: and when the priority of the current user is higher than that of the second user, setting according to the first setting data.
It should be understood that the first preset parameter refers to priority ranking, the current setting data refers to the setting data before the current user performs setting, and correspondingly, the second user corresponding to the current setting data refers to the previous user of the current user.
When the first automatic setting parameter in the first setting data is priority sequencing, judging whether the priority of the current user is higher than that of the previous user, if so, setting according to the first setting data of the current user; if not, the original setting is not changed, a prompt of setting failure due to the priority is popped up, and the automatic setting process is ended.
Of course, after step S31, the following steps may also be included:
s32': when the first automatic setting parameter is a second preset parameter, displaying a first inquiry window to prompt the current user whether the first setting data is effective or not;
s33': and when an effective instruction sent by the current user based on the first inquiry window is received, setting according to the first setting data.
It should be understood that the second preset parameter refers to a query, and if the first automatic setting parameter is a query, the smart device displays a first query window asking whether the first setting data is valid. When the user selects to take effect, the intelligent device receives an effective instruction and performs setting according to the first setting data; when the user selects to fail, the intelligent device receives a failure instruction, does not change the original setting, and ends the automatic setting process.
According to the embodiment, different setting strategies are carried out according to the first automatic setting parameter set by the current user, the personalized setting of the user is met, and better user experience is provided.
Further, as shown in fig. 4, another embodiment of the user setting method based on face recognition according to the present invention is provided based on an embodiment, in this embodiment, after step S10, the method further includes:
s40: when the matching fails, displaying a security verification window;
s50: when a verification instruction sent by the current user based on the safety verification window is received, judging whether verification is successful according to the verification instruction;
s60: and when the verification is successful, storing the user face data into the preset face database.
It should be understood that if the matching of the user face data with the preset face database fails, which indicates that the information of the current user is not stored in advance, the intelligent device prompts the user without matching and displays a menu for inputting the face data, and in order to ensure the security of the data, the identity of the current user needs to be verified. In the embodiment, a security verification window (such as a password input window) is displayed, a current user operates based on the security verification window, and when the security verification is successful, user face data of the current user is added; and when the safety verification fails, prompting that no setting authority exists, and ending the automatic setting process.
After step S60, the method further includes:
s70: displaying a setting menu and second automatic setting parameters;
s80: and when second setting data sent by the current user based on the setting menu and the second automatic setting parameters are received, storing the second setting data to a preset query database.
It should be noted that, after the face data of the user is added, the setting of the current user also needs to be recorded and stored in the preset storage database. At this time, a data setting process can be entered, specifically, a setting menu is displayed, so that the current user can obtain a satisfactory setting effect by adjusting the display effect in real time, and meanwhile, a second automatic setting parameter is displayed for the current user to select. The second automatic setting parameters include prioritization and querying, which will not be described in detail herein.
After step S80, the method further includes:
s90: displaying a second inquiry window to prompt the current user whether the second setting data is effective or not;
s100: and when an effective instruction sent by the current user based on the second inquiry window is received, setting according to the second setting data.
Specifically, a third automatic setting parameter in the second setting data is acquired; when the third automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data; judging whether the priority of the current user is higher than that of the second user; and when the priority of the current user is higher than that of the second user, setting according to the second setting data.
The first preset parameter indicates priority ranking, the current setting data indicates setting data before setting, and correspondingly, the second user corresponding to the current setting data indicates a user before the current user.
Of course, when receiving a failure instruction sent by the current user based on the second query window, obtaining current setting data; and setting according to the current setting data.
When the third automatic setting parameter in the second setting data is priority sorting, judging whether the priority of the current user is higher than that of the previous user, if so, setting according to the second setting data of the current user; if not, the original setting is not changed, namely the setting is carried out according to the current setting data.
In the embodiment, when the matching of the user face data and the preset face database fails, the identity of the current user is verified, the data security is improved, after the identity verification succeeds, the user face is stored, the setting menu and the second automatic setting parameters are displayed, the current user is enabled to set, the second setting data is obtained and stored, the personalized addition of the setting data of the new user is guaranteed, in addition, after the current user sets the second setting data, the setting can be carried out according to the second setting data, the data setting flow of the new user is simplified, and the user setting efficiency is improved.
In addition, an embodiment of the present invention further provides a storage medium, where a user setting program based on face recognition is stored on the storage medium, and when executed by a processor, the user setting program based on face recognition implements the following operations:
when receiving an updating user setting instruction sent by a current user, acquiring user face data, and matching the user face data with a preset face database;
when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database;
and when the first setting data exists, setting according to the first setting data.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
acquiring a first automatic setting parameter in the first setting data;
when the first automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the first setting data.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
when the first automatic setting parameter is a second preset parameter, displaying a first inquiry window to prompt the current user whether the first setting data is effective or not;
and when an effective instruction sent by the current user based on the first inquiry window is received, setting according to the first setting data.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
when the matching fails, displaying a security verification window;
when a verification instruction sent by the current user based on the safety verification window is received, judging whether verification is successful according to the verification instruction;
and when the verification is successful, storing the user face data into the preset face database.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
displaying a setting menu and second automatic setting parameters;
and when second setting data sent by the current user based on the setting menu and the second automatic setting parameters are received, storing the second setting data to a preset query database.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
displaying a second inquiry window to prompt the current user whether the second setting data is effective or not;
and when an effective instruction sent by the current user based on the second inquiry window is received, setting according to the second setting data.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
acquiring a third automatic setting parameter in the second setting data;
when the third automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the second setting data.
Further, the user setting program based on the face recognition further realizes the following operations when being executed by the processor:
when a failure instruction sent by the current user based on the second inquiry window is received, current setting data are obtained;
and setting according to the current setting data.
The specific embodiment of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the user setting method based on face recognition, and is not described herein again.
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 invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A user setting method based on face recognition is characterized by comprising the following steps:
when the face entering the shooting range is identified, prompting whether to update the user setting;
when receiving an updating user setting instruction sent by a current user, acquiring user face data, and matching the user face data with a preset face database;
when the matching is successful, detecting whether first setting data corresponding to the user face data exists in a preset query database;
when the first setting data exists, setting according to the first setting data;
the step of setting according to the first setting data includes:
acquiring a first automatic setting parameter in the first setting data;
when the first automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the first setting data.
2. The face recognition based user setting method of claim 1, wherein after the step of acquiring the first automatic setting parameter in the first setting data, the method further comprises:
when the first automatic setting parameter is a second preset parameter, displaying a first inquiry window to prompt the current user whether the first setting data is effective or not;
and when an effective instruction sent by the current user based on the first inquiry window is received, setting according to the first setting data.
3. The method for setting a user based on face recognition according to any one of claims 1-2, wherein after the step of matching the user face data with a preset face database, the method further comprises:
when the matching fails, displaying a security verification window;
when a verification instruction sent by the current user based on the safety verification window is received, judging whether verification is successful according to the verification instruction;
and when the verification is successful, storing the user face data into the preset face database.
4. The method for setting a user based on face recognition according to claim 3, wherein after the step of saving the face data of the user to the preset face database, the method further comprises:
displaying a setting menu and second automatic setting parameters;
and when second setting data sent by the current user based on the setting menu and the second automatic setting parameters are received, storing the second setting data to a preset query database.
5. The method for setting a user based on face recognition as claimed in claim 4, wherein after the step of saving the second setting data to a preset query database, the method further comprises:
displaying a second inquiry window to prompt the current user whether the second setting data is effective or not;
and when an effective instruction sent by the current user based on the second inquiry window is received, setting according to the second setting data.
6. The user setting method based on face recognition according to claim 5, wherein the setting according to the second setting data comprises:
acquiring a third automatic setting parameter in the second setting data;
when the third automatic setting parameter is a first preset parameter, acquiring current setting data and a second user corresponding to the current setting data;
judging whether the priority of the current user is higher than that of the second user;
and when the priority of the current user is higher than that of the second user, setting according to the second setting data.
7. The face recognition based user setup method of claim 5 wherein after the step of displaying a second query window to prompt the current user whether the second setup data is in effect, the method further comprises:
when a failure instruction sent by the current user based on the second inquiry window is received, current setting data are obtained;
and setting according to the current setting data.
8. A television set, characterized in that the television set comprises: a memory, a processor and a face recognition based user setup program stored on the memory and executable on the processor, the face recognition based user setup program being configured to implement the steps of the face recognition based user setup method according to any of claims 1 to 7.
9. A storage medium, characterized in that the storage medium stores thereon a face recognition-based user setting program, which when executed by a processor implements the face recognition-based user setting method according to any one of claims 1 to 7.
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| CN101753889A (en) * | 2008-12-17 | 2010-06-23 | 深圳Tcl新技术有限公司 | Television automatic adjustment method and television |
| CN105391859A (en) * | 2015-11-09 | 2016-03-09 | 小米科技有限责任公司 | Switching method and apparatus of scene modes |
| CN107820109A (en) * | 2017-10-11 | 2018-03-20 | 深圳Tcl新技术有限公司 | TV method to set up, system and computer-readable recording medium |
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| CN105141997B (en) * | 2015-08-18 | 2018-09-04 | 京东方科技集团股份有限公司 | Display device, remote control, display system and program push method |
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| CN101753889A (en) * | 2008-12-17 | 2010-06-23 | 深圳Tcl新技术有限公司 | Television automatic adjustment method and television |
| CN105391859A (en) * | 2015-11-09 | 2016-03-09 | 小米科技有限责任公司 | Switching method and apparatus of scene modes |
| CN107820109A (en) * | 2017-10-11 | 2018-03-20 | 深圳Tcl新技术有限公司 | TV method to set up, system and computer-readable recording medium |
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