CN108416278A - Recognition of face method for unlocking and Related product - Google Patents
Recognition of face method for unlocking and Related product Download PDFInfo
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- CN108416278A CN108416278A CN201810155462.9A CN201810155462A CN108416278A CN 108416278 A CN108416278 A CN 108416278A CN 201810155462 A CN201810155462 A CN 201810155462A CN 108416278 A CN108416278 A CN 108416278A
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- electronic device
- camera
- unlocking
- value
- computer
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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
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
Abstract
This application provides a kind of recognition of face method for unlocking and Related products, and described method includes following steps：Electronic device acquires the first picture of user；Electronic device extracts the first head portrait from the first picture, which, which is carried out artificial intelligence identification, determines whether to match with template image, if it matches, sending order of unlocking；Electronic device executes the unlocking order.Technical solution provided by the present application has the advantages that user experience is high.
Description
Technical field
This application involves terminal device and security fields, and in particular to a kind of recognition of face method for unlocking and related production
Product.
Background technology
In the prior art, terminal has been the most used electronic device of user, for example, mobile phone, car-mounted terminal, tablet
Computer etc. equipment.In existing electronic device, such as car-mounted terminal, existing security setting generally pass through following several sides
Formula such as opens vehicle by mechanical key, and vehicle is opened by electron key, this two ways reliability is high, but user needs
To open vehicle by key, another way is to open vehicle by mobile phone, and such mode is convenient, but need by
Mobile communications network, in the case where there are many current underground parking garage, the reliability of this mode is very low, so existing terminal
The safety of (such as vehicle) is not high, influences the Experience Degree of user.
Apply for content
The embodiment of the present application provides a kind of recognition of face method for unlocking and Related product, may be implemented by face come pair
Vehicle is unlocked, and user experience is improved.
In a first aspect, the embodiment of the present application provides a kind of electronic device, the electronic device includes：Application processor AP,
Camera and electronic lock, the camera and the electronic lock are connect by least one circuit with the AP；
The camera, the first picture for acquiring user；
First head portrait is carried out artificial intelligence identification and determined by the AP for extracting the first head portrait from the first picture
Whether matched with template image, if it matches, sending order of unlocking；
The electronic lock, for executing the unlocking order.
Second aspect provides a kind of recognition of face method for unlocking, and described method includes following steps：
Electronic device acquires the first picture of user；
Electronic device extracts the first head portrait from the first picture, which, which is carried out artificial intelligence identification, determines whether
It is matched with template image, if it matches, sending order of unlocking；
Electronic device executes the unlocking order.
The third aspect provides a kind of computer readable storage medium, computer journey of the storage for electronic data interchange
Sequence, wherein the computer program makes computer execute the method that second aspect provides.
Fourth aspect, provides a kind of computer program product, and the computer program product includes storing computer journey
The non-transient computer readable storage medium of sequence, the computer program are operable to that computer is made to execute second aspect offer
Method.
Implement the embodiment of the present application, has the advantages that：
As can be seen that technical solution provided by the present application by obtaining the first picture, then extracts the first of the first picture
Head portrait carries out artificial intelligence identification and determines whether to be matched with template image, is opened automatically if it matches, sending order of unlocking
Lock, because the technical solution of the application is unlocked by way of recognition of face, such user, which does not have to key, to be realized
Intelligent unlocking, and above-mentioned recognition of face can be individually performed, without network, so its have can either be real without network
The unlocking of existing vehicle, has the advantages that user experience is high.
Description of the drawings
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the present application, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of electronic device provided by the embodiments of the present application.
Fig. 2 is a kind of another schematic diagram of electronic device disclosed in the embodiment of the present application.
Fig. 2 a are the position P schematic diagrames of the application matrix of consequence.
Fig. 2 b are the insertion schematic diagram datas of the application.
Fig. 3 is a kind of flow diagram of recognition of face method for unlocking of the embodiment of the present application.
Fig. 4 is a kind of structural schematic diagram of terminal device disclosed in the embodiment of the present application.
Specific implementation mode
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation describes, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen
Please in embodiment, the every other implementation that those of ordinary skill in the art are obtained without creative efforts
Example, shall fall in the protection scope of this application.
Term " first ", " second ", " third " in the description and claims of this application and the attached drawing and "
Four " etc. be for distinguishing different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but further include the steps that optionally not listing or list
Member, or further include optionally for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
In the electronic device that first aspect provides, the AP is specifically used for the first head portrait composition input matrix CI*H*
Input matrix CI*H*W is input to execution n-layer forward operation in preconfigured neural network model and obtains forward operation by W
Matrix of consequence, the result according to the forward operation determines whether to match with template image, and CI is depth value, H is height value, W
For width value.
In the electronic device that first aspect provides, the AP is specifically used for extracting more in the forward operation matrix of consequence
The maximum value of a element extracts the position P of the corresponding forward operation matrix of consequence of the maximum value, as the maximum value is more than setting threshold
Value, obtains whether position P belongs to matching position, and if position P belongs to matching position, determination is matched with template image.
In the electronic device that first aspect provides, the AP is specifically used for the first head portrait composition input matrix CI* such as
H*W=CI0*H0/2*W0When, by Matrix C I0*H0/2*W0It is inserted into a line in every line in the directions H and is inserted into data CI0*W0It obtains defeated
Enter Matrix C I0*H0*W0, which is the average value in two adjacent elements of the directions H, the CI0*H0*W0Last column member
The value of element is identical as the value of the element of row second from the bottom, CI0、H0、W0For the preset value of the neural network model.
In the electronic device that first aspect provides, the electronic device is：Vehicle intelligent terminal, data processing equipment,
Robot, printer, scanner, tablet computer, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, is taken the photograph computer
As head, server, cloud server, camera, video camera, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, traffic
Tool, household electrical appliance or Medical Devices.
It is described first head portrait is subjected to artificial intelligence identification to determine whether and template in the method that second aspect provides
Images match is specifically as follows：
First head portrait is formed into input matrix CI*H*W, input matrix CI*H*W is input to preconfigured nerve net
In network model execute n-layer forward operation obtain the matrix of consequence of forward operation, the result according to the forward operation determine whether with
Template image matches, and CI is depth value, H is height value, and W is width value.
In the method that second aspect provides, the result according to the forward operation determines whether to match with template image specifically
Including：
The maximum value for extracting multiple elements in the forward operation matrix of consequence extracts the corresponding forward operation knot of the maximum value
The position P of fruit matrix obtains whether position P belongs to matching position, such as position P if the maximum value is more than given threshold
Matching position is belonged to, determination is matched with template image.
In the method that second aspect provides, the first head portrait composition input matrix CI*H*W is specifically included：Such as by first
Head portrait forms input matrix CI*H*W=CI0*H0/2*W0When, by Matrix C I0*H0/2*W0It is inserted into a line in every line in the directions H
It is inserted into data CI0*W0Obtain input matrix CI0*H0*W0, which is the average value in two adjacent elements of the directions H,
The CI0*H0*W0The value of last column element is identical as the value of the element of row second from the bottom, CI0、H0、W0For the neural network mould
The preset value of type.
In the method that second aspect provides, the electronic device is：Vehicle intelligent terminal, data processing equipment, machine
People, computer, printer, scanner, tablet computer, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, camera,
Server, cloud server, camera, video camera, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, the vehicles,
Household electrical appliance or Medical Devices.
Electronic device in the application may include intelligent vehicle mounted terminal, smart mobile phone (such as Android mounted on vehicle
Mobile phone, iOS mobile phones, Windows Phone mobile phones etc.), tablet computer, palm PC, laptop, mobile internet device
(MID, Mobile Internet Devices) or Wearable etc., above-mentioned electronic device are only citings, and non exhaustive, packet
Contain but be not limited to above-mentioned electronic device, for convenience of description, above-mentioned electronic device is known as user equipment in following example
(User equipment, UE).Certainly in practical applications, above-mentioned user equipment is also not necessarily limited to above-mentioned realization form, such as also
May include：Intelligent vehicle mounted terminal, computer equipment etc..
Referring to Fig. 1, Fig. 1, which is the embodiment of the present application, provides a kind of electronic device, referring to Fig. 1, Fig. 1 is of the invention real
The structural schematic diagram that example provides a kind of electronic device 100 is applied, above-mentioned electronic device 100 includes：Shell 110, circuit board 120,
Battery or power 130, cover board 140, touching display screen 150, camera 170, be arranged on the shell 110 circuit board 120,
The battery or power 130 and the cover board 140, the circuit board 120 are additionally provided with the electricity for connecting the touching display screen 150
Road；The circuit board 120 can also include：Application processor AP190, camera 170.The specific location of above-mentioned camera can be with
Flexibly it is arranged according to practical situation, such as is arranged on vehicle mirrors, certainly in practical applications, can also be set
It sets in the front end or rear end of vehicle, the application and the specific location for being not provided with above-mentioned camera, also the position is not carried out practical
Setting.
Above-mentioned touching display screen is specifically as follows Thin Film Transistor-LCD (Thin Film Transistor-
Liquid Crystal Display, TFT-LCD), light emitting diode (Light Emitting Diode, LED) display screen, have
Machine light emitting diode (Organic Light-Emitting Diode, OLED) display screen etc..
Referring to Fig.2, Fig. 2 is a kind of electronic device provided by the present application, as shown in Fig. 2, electronic device may include：Electronics
Lock 201, touching display screen, application processor AP 202, camera 203；The touching display screen, camera 203, electronic lock 201
It is connect with AP202 by least one circuit 204；Optionally, in the electronic device, other sensors can also be set,
The sensor includes but not limited to：Brain wave sensor, gravity sensor, range sensor, loud speaker etc..
Camera 203, the first picture for acquiring user；
AP202, for extracting the first head portrait from the first picture, which, which is carried out artificial intelligence identification determination, is
It is no to be matched with template image, if it matches, sending order of unlocking；
The head portrait extracting method of the prior art may be used in the algorithm of the first head portrait of said extracted, and the application does not limit to tool
The extracting mode of body.
Electronic lock 201, for executing the unlocking order.
Then technical solution provided by the present application extracts the first head portrait of the first picture into pedestrian by obtaining the first picture
Work intelligent recognition determines whether to be matched with template image, if it matches, sending order of unlocking carries out auto-unlocking, because of this Shen
Technical solution please is unlocked by way of recognition of face, and such user, which does not have to key, can realize intelligent unlocking, and
And above-mentioned recognition of face can be individually performed, without network, so it has can either realize opening for vehicle without network
Lock, has the advantages that user experience is high.
Optionally, AP202 is specifically used for the first head portrait forming input matrix CI*H*W, by input matrix CI*H*W
It is input to execution n-layer forward operation in preconfigured neural network model and obtains the matrix of consequence of forward operation, just according to this
Determine whether to match with template image to the result of operation, above-mentioned CI is depth value, H is height value, and W is width value.
Specifically, AP202, is specifically used for extracting the maximum value of multiple elements in the forward operation matrix of consequence, extraction should
The position P (i.e. the value of CI, H, W) of the corresponding forward operation matrix of consequence of maximum value is obtained if the maximum value is more than given threshold
Whether position P belongs to matching position, and if position P belongs to matching position, determination is matched with template image.For example, such as
CI=1, H=1, the W=1 (i.e. first position of the first row of forward operation matrix of consequence) correspond to matching position, such as should
Maximum value is more than given threshold, and determination is matched with the template image.
Specifically, as shown in Figure 2 a, above-mentioned darkened locations can be to match corresponding position, and other positions correspond to non-
With position.
Specifically, AP202, is specifically used for the first head portrait composition input matrix CI*H*W=such as
CI0*H0/2*W0When, by Matrix C I0*H0/2*W0It is inserted into a line in every line in the directions H and is inserted into data CI0*W0It obtains
Input matrix CI0*H0*W0, which is the average value in two adjacent elements of the directions H, the CI0*H0*W0Last column
The value of element is identical as the value of the element of row second from the bottom.Specifically, as be inserted into be the 2nd row of the directions H data, then insert number
According to the average value for the 1st row and the 3rd row of the directions H.Above-mentioned CI0*H0*W0Value be specifically as follows the default of neural network model
Value (preset value can be determined by sample training, naturally it is also possible to by user's sets itself), specifically, neural network mould
The corresponding CI of type0*H0*W0Can be：CI0=32；H0=64；W0=20.Certainly in practical applications, CI can also be used0、H0、
W0Or other values.
Specific insertion schematic diagram can be as shown in Figure 2 b.
This technical solution improves the number of elements of input data matrix by being inserted into data, specifically, as shown in Figure 2 b,
The insertion data are as shown in Figure 2 b.As shown in Fig. 2 b arrows, the data of the insertion are the average value of adjacent rows, and it is most to be such as inserted into
Data line afterwards, then the data of the insertion can be the value of adjacent rows.As shown in Figure 2 b, wherein (H1+H2)/2 indicates to be inserted into the side H
Average value between the first row and the second row.Wherein, H1 indicates that the value of the directions H the first row, H2 indicate the value of the second row, Fig. 2 b
In arrow indicate data being directly inserted into corresponding row.As shown in figure 3, the mode of insertion data is with the 2nd row and finally
The data instance of a line may refer to the mode of the 2nd row insertion data to realize for the mode of the insertion data of center row.
It should be noted that above-mentioned electronic device is specifically as follows：Vehicle intelligent terminal, data processing equipment, robot,
Computer, printer, scanner, tablet computer, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, camera, clothes
Be engaged in device, cloud server, camera, video camera, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, the vehicles, family
Electrical appliance, and/or Medical Devices.
A kind of recognition of face method for unlocking is provided refering to Fig. 3, Fig. 3, this method is executed by electronic device, specifically,
The electronic device can be：Vehicle intelligent terminal, data processing equipment, robot, computer, printer, scanner, tablet electricity
Brain, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, camera, server, cloud server, camera, camera shooting
One in machine, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, the vehicles, household electrical appliance, and/or Medical Devices
Kind.This method is as shown in figure 3, include the following steps：
Step S301, the first picture of user is acquired；
Step S302, the first head portrait is extracted from the first picture, which, which is carried out artificial intelligence identification determination, is
It is no to be matched with template image, if it matches, sending order of unlocking；
Step S303, the unlocking order is executed.
Then technical solution provided by the present application extracts the first head portrait of the first picture into pedestrian by obtaining the first picture
Work intelligent recognition determines whether to be matched with template image, if it matches, sending order of unlocking carries out auto-unlocking, because of this Shen
Technical solution please is unlocked by way of recognition of face, and such user, which does not have to key, can realize intelligent unlocking, and
And above-mentioned recognition of face can be individually performed, without network, so it has can either realize opening for vehicle without network
Lock, has the advantages that user experience is high.
Refering to Fig. 4, Fig. 4 provides a kind of terminal device, and the equipment includes：Processor 401, memory 402 and camera
403, the processor is connect with the memory 402 and the camera, the connection type can by bus (in figure with
One line indicates) connection, certainly in practical applications, it can also connect in other way；Wherein, the memory 402
The one or more programs of interior storage, processor 401 are used to call one or more programs in the memory to control the camera shooting
First 403 realize method as shown in Figure 3.
It should be noted that processor 401 here can be a processing element, can also be multiple processing elements
It is referred to as.For example, the processing element can be central processing unit (Central Processing Unit, CPU), can also be spy
Determine integrated circuit (Application Specific Integrated Circuit, ASIC), or is arranged to implement this
Apply for one or more integrated circuits of embodiment, such as：One or more microprocessors (digital signal
Processor, DSP) or one or more field programmable gate array (Field Programmable Gate Array,
FPGA)。
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity
The computer program that subdata exchanges, it is any as described in above method embodiment which so that computer is executed
A kind of some or all of recognition of face method for unlocking step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of any type recognition of face method for unlocking described in method embodiment step.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to alternative embodiment, involved action and module not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
Meanwhile for those of ordinary skill in the art, according to the thought of the application, can in specific embodiments and applications
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (9)
1. a kind of electronic device, the electronic device include：Application processor AP, camera and electronic lock, the camera with
And the electronic lock is connect by least one circuit with the AP；It is characterized in that,
The camera, the first picture for acquiring user；
First head portrait is carried out artificial intelligence identification and determined whether by the AP for extracting the first head portrait from the first picture
It is matched with template image, if it matches, sending order of unlocking；
The electronic lock, for executing the unlocking order.
2. electronic device according to claim 1, which is characterized in that
The AP is specifically used for the first head portrait forming input matrix CI*H*W, input matrix CI*H*W is input in advance
N-layer forward operation is executed in the neural network model of configuration obtains the matrix of consequence of forward operation, the knot according to the forward operation
Fruit determines whether to match with template image, and CI is depth value, H is height value, and W is width value.
3. electronic device according to claim 2, which is characterized in that
The AP is specifically used for extracting the maximum value of multiple elements in the forward operation matrix of consequence, extracts maximum value correspondence
Forward operation matrix of consequence position P, if the maximum value be more than given threshold, obtain whether position P belongs to match bit
It sets, if position P belongs to matching position, determination is matched with template image.
4. electronic device according to claim 2, which is characterized in that
The AP is specifically used for the first head portrait composition input matrix CI*H*W=CI such as0*H0/2*W0When, by Matrix C I0*H0/
2*W0It is inserted into a line in every line in the directions H and is inserted into data CI0*W0Obtain input matrix CI0*H0*W0, which is in H
The average value of two adjacent elements of direction, the CI0*H0*W0The value phase of the value of last column element and the element of row second from the bottom
Together, CI0、H0、W0For the preset value of the neural network model.
5. electronic device according to any one of claims 1-4, which is characterized in that
The electronic device is：Vehicle intelligent terminal, data processing equipment, robot, computer, printer, scanner, tablet electricity
Brain, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, camera, server, cloud server, camera, camera shooting
Machine, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, the vehicles, household electrical appliance or Medical Devices.
6. a kind of recognition of face method for unlocking, which is characterized in that described method includes following steps：
Electronic device acquires the first picture of user；
Electronic device extracts the first head portrait from the first picture, which, which is carried out artificial intelligence identification, determines whether and mould
Plate images match, if it matches, sending order of unlocking；
Electronic device executes the unlocking order.
7. according to the method described in claim 6, it is characterized in that,
The electronic device is：Vehicle intelligent terminal, data processing equipment, robot, computer, printer, scanner, tablet electricity
Brain, intelligent terminal, mobile phone, automobile data recorder, navigator, sensor, camera, server, cloud server, camera, camera shooting
Machine, projecting apparatus, wrist-watch, earphone, mobile storage, wearable device, the vehicles, household electrical appliance or Medical Devices.
8. a kind of computer readable storage medium, which is characterized in that it stores the computer program for electronic data interchange,
In, the computer program makes computer execute such as claim 6 or 7 any one of them methods.
9. a kind of computer program product, which is characterized in that the computer program product includes storing computer program
Non-transient computer readable storage medium, the computer program are operable to that computer is made to execute such as claim 6 or 7
Method described in one.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110176088A (en) * | 2018-10-31 | 2019-08-27 | 广东小天才科技有限公司 | A kind of control method for door lock and wearable device based on wearable device |
| CN110173162A (en) * | 2018-10-25 | 2019-08-27 | 广东小天才科技有限公司 | A kind of intelligent door lock open method and wearable device that wearable device participates in |
| CN110223424A (en) * | 2019-06-12 | 2019-09-10 | 湖北东方星海科技实业有限公司 | A kind of real time imagery method based on recognition of face |
| CN110298945A (en) * | 2019-06-14 | 2019-10-01 | 武汉格罗夫氢能汽车有限公司 | Based on automobile data recorder face recognition unlocking method of vehicle, equipment and storage medium |
| CN114468520A (en) * | 2022-01-20 | 2022-05-13 | 上海妮晓博实业有限公司 | Intelligent backpack |
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Application publication date: 20180817 |