CN110335379A - Intelligent door lock control method based on recognition of face - Google Patents
Intelligent door lock control method based on recognition of face Download PDFInfo
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- CN110335379A CN110335379A CN201910463296.3A CN201910463296A CN110335379A CN 110335379 A CN110335379 A CN 110335379A CN 201910463296 A CN201910463296 A CN 201910463296A CN 110335379 A CN110335379 A CN 110335379A
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- face
- facial image
- living body
- image
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- 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
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Abstract
The intelligent door lock control method based on recognition of face that this application provides a kind of, comprising: firstly, acquiring image in predetermined period, Face datection is carried out to collected described image, and judge whether to detect face.Secondly, judging whether the facial image is living body based on non-interactive type face In vivo detection mode if judging collected described image for facial image.Again, if judging the facial image for the facial image of living body, the facial image of the living body is compared with default facial image, and judged whether consistent.Finally, door open command is sent to intelligent door lock if the facial image of the living body is consistent with the default facial image, opened with controlling the intelligent door lock.The application uses this control mode, eliminates security risk, increases safety；Simultaneously because using non-interactive type face In vivo detection mode, human-computer interaction is avoided, there is advantage easy to operate.
Description
Technical field
This application involves intelligent door lock technical fields, more particularly to the intelligent door lock control method based on recognition of face.
Background technique
Recognition of face belongs to living things feature recognition field, is an important component in living things feature recognition field, can
The range of application is than wide.By face recognition application to intelligent door lock field, thus it is possible to vary people are traditional to be opened using key
The habit of shutdown.With the method switch gate of recognition of face, avoiding people and leaving behind key can not open the door bring inconvenience, and more
Add it is intuitive it is friendly, conveniently, safety etc..
The existing intelligent door lock based on recognition of face can not carry out In vivo detection to face, default collected face
Image is living body image, and there are some potential safety problemss.
Summary of the invention
Based on this, it is necessary to In vivo detection can not be carried out to face for existing intelligent door lock, there are certain safety
Potential problem provides a kind of intelligent door lock control method based on recognition of face.
A kind of intelligent door lock control method based on recognition of face, comprising:
Image is acquired in predetermined period, Face datection is carried out to collected described image, and judge whether to detect
Face；
If judging collected described image for facial image, institute is judged based on non-interactive type face In vivo detection mode
State whether facial image is living body；
If judging the facial image for the facial image of living body, by the facial image of the living body and default face figure
As being compared, and judge whether consistent；
If the facial image of the living body is consistent with the default facial image, door open command is sent to intelligent door
Lock is opened with controlling the intelligent door lock.
It is described in one of the embodiments, that image is acquired in predetermined period, people is carried out to collected described image
Face detection, and judge whether that the step of detecting face includes:
Image is acquired in the predetermined period, face inspection is carried out to collected described image based on default face algorithm
It surveys, and judges whether to detect face；
If judging collected described image for the facial image, if judging collected described image described in carrying out
For facial image, then the step of whether facial image is living body is judged based on non-interactive type face In vivo detection mode；
If judging the non-facial image of collected described image, image is resurveyed in the predetermined period.
If described in one of the embodiments, judge that collected described image for facial image, is based on nonreciprocal
After formula face In vivo detection mode judges the step of whether facial image is living body, the method also includes:
If judging the facial image for the facial image of non-living body, return is described to acquire image in predetermined period,
Face datection is carried out to collected described image, and judges whether the step of detecting face.
If described in one of the embodiments, judge the facial image for the facial image of living body, by the work
The facial image of body is compared with default facial image, and judges whether that consistent step includes:
If judging the facial image for the facial image of the living body, default facial image is obtained；
Based on default face alignment algorithm by the facial image of the living body and the default facial image that gets into
Row compares, and judges whether consistent.
If the facial image of the living body is consistent with the default facial image in one of the embodiments,
Door open command is sent to intelligent door lock, before controlling the step of intelligent door lock is opened, the method also includes:
If the facial image of the living body and the default facial image are inconsistent, return is described to adopt in predetermined period
Collect image, Face datection is carried out to collected described image, and judge whether the step of detecting face.
If the facial image of the living body is consistent with the default facial image in one of the embodiments,
Door open command is sent to intelligent door lock, includes: to control the step of intelligent door lock is opened
If the facial image of the living body is consistent with the default facial image, door open command is sent to by bluetooth
The intelligent door lock is opened with controlling the intelligent door lock；
The intelligent door lock is unlocked based on the door open command, and records upload server for unlocking.
It is described in one of the embodiments, that image is acquired in predetermined period, people is carried out to collected described image
Face detection, and before judging whether the step of detecting face, the method also includes:
The identity information of typing user and booking request, and the identity information is sent to server；
After the identity information described in the server authentication is correct, receives the identity information confirmation that the server is sent and refer to
It enables.
Identity information described in the server authentication in one of the embodiments, specifically includes:
It receives user terminal and sends identity card picture, and judge whether the identity card picture is authentic and valid；
If the identity card picture is authentic and valid, human face photo is obtained, and examine based on the non-interactive type face living body
Survey mode judges whether the human face photo is living body；
If judging the human face photo for the human face photo of living body, by the human face photo of the living body and the identity card
Photo is compared, and judges whether consistent；
If the human face photo of the living body is consistent with the identity card picture, the identity information confirmation instruction is sent.
If the identity card picture is authentic and valid in one of the embodiments, human face photo is obtained, and be based on
Before the non-interactive type face In vivo detection mode judges the step of whether human face photo is living body, the method is also wrapped
It includes:
If the identity card picture be not it is authentic and valid, prompt the user terminal to retransmit the identity card and shine
Piece, and return to the reception user terminal and send identity card picture, and judge the whether authentic and valid step of the identity card picture
Suddenly.
If described in one of the embodiments, judge the human face photo for the human face photo of living body, by the work
The human face photo of body is compared with the identity card picture, and before judging whether consistent step, the method also includes:
If judging the human face photo for the human face photo of non-living body, returns to the reception user terminal and send identity card
Photo, and judge the whether authentic and valid step of the identity card picture.
If described in one of the embodiments, judge the human face photo for the human face photo of living body, by the work
The human face photo of body is compared with the identity card picture, and judges whether that consistent step includes:
If judging the human face photo for the human face photo of the living body, by the human face photo of the living body and the body
Part license piece is compared according to default face alignment algorithm, and judges whether consistent.
If the human face photo of the living body is consistent with the identity card picture in one of the embodiments, send out
Before the step of sending the identity information confirmation instruction, the method also includes:
If the human face photo of the living body and the identity card picture are inconsistent, the user terminal photo is prompted to compare
Failure, and return to the reception user terminal and send identity card picture, and judge whether the identity card picture authentic and valid
Step.
Compared with prior art, the above-mentioned intelligent door lock control method based on recognition of face, is adopted in predetermined period first
Collect image, Face datection is carried out to collected described image, and judge whether to detect face；Secondly, if judgement collects
Described image be facial image, then judge whether the facial image is living based on non-interactive type face In vivo detection mode
Body；Then, if judging the facial image for the facial image of living body, by the facial image of the living body and default face figure
As being compared, and judge whether consistent；Finally, if the facial image of the living body is consistent with the default facial image,
Door open command is sent to intelligent door lock, is opened with controlling the intelligent door lock.
The application judges whether facial image is living body in the way of non-interactive type face In vivo detection, if living body, then
It further verifies the facial image and whether the default facial image is consistent, after both only consistent, can just send enabling
Instruction.The application uses this control mode, not only eliminates security risk, increases safety, also has easy to operate
Advantage.
Detailed description of the invention
Fig. 1 is the flow chart for the intelligent door lock control method based on recognition of face that one embodiment of the application provides；
Fig. 2 is the flow chart for the server authentication identity information that one embodiment of the application provides.
Specific embodiment
In order to make the above objects, features, and advantages of the present application more apparent, with reference to the accompanying drawing to the application
Specific embodiment be described in detail.Many details are explained in the following description in order to fully understand this Shen
Please.But the application can be implemented with being much different from other way described herein, those skilled in the art can be not
Similar improvement is done in the case where violating the application intension, therefore the application is not limited by following public specific implementation.
It should be noted that it can directly on the other element when element is referred to as " being fixed on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.
Unless otherwise defined, all technical and scientific terms used herein and the technical field for belonging to the application
The normally understood meaning of technical staff is identical.The term used in the description of the present application is intended merely to description tool herein
The purpose of the embodiment of body, it is not intended that in limitation the application.Term " and or " used herein includes one or more phases
Any and all combinations of the listed item of pass.
Referring to Figure 1, one embodiment of the application provides a kind of intelligent door lock control method based on recognition of face, comprising:
S102: acquiring image in predetermined period, carries out Face datection to collected described image, and judge whether to examine
Measure face.
In one embodiment, it before acquiring image in the predetermined period, needs to wake up intelligent door lock.In a reality
It applies in example, the intelligent door lock can be waken up by way of touch.In one embodiment, institute can be waken up by way of acoustic control
State intelligent door lock.After the intelligent door lock is waken up, image can be acquired in the period in described set.The predetermined period can basis
Actual demand is set.In one embodiment, the predetermined period may be set to 3 seconds.In one embodiment, described pre-
If the period also may be set to 10 seconds.
In one embodiment, collected described image is subjected to recognition of face detection, traditional face can be used and know
Other algorithm carries out recognition of face, and judges whether to detect face based on the face recognition algorithms.In one embodiment, if inspection
Measuring collected described image is facial image, thens follow the steps S104.In one embodiment, if detecting collected
The inhuman face image of described image, then resurvey image in the predetermined period, until detecting collected described image
For facial image, just perform the next step.In one embodiment, if not collecting the face in the predetermined period
Image then automatically exits from, and the intelligent door lock waits wake-up next time.
In one embodiment, collected described image is carried out recognition of face detection can be on recognition of face server
It completes.Specifically, can send collected described image to the recognition of face server carries out recognition of face detection.
S104: if judging, collected described image for facial image, is based on non-interactive type face In vivo detection mode
Judge whether the facial image is living body.
In one embodiment, use the non-interactive type face In vivo detection mode judge the facial image whether as
Living body.During In vivo detection, the interaction between man-machine is not needed, when use is more convenient.In one embodiment,
In vivo detection can be carried out to the facial image based on traditional In vivo detection algorithm.In one embodiment, if described in judgement
Facial image is the facial image of living body, thens follow the steps S106.In one embodiment, if judging the facial image to be non-
The facial image of living body, thens follow the steps S102.
In one embodiment, based on the non-interactive type face In vivo detection mode judge the facial image whether be
Living body can be completed on recognition of face server.Specifically, can be by the recognition of face server according to the In vivo detection
Algorithm carries out In vivo detection judgement to the facial image.
S106: if judging, the facial image for the facial image of living body, by the facial image of the living body and is preset
Facial image is compared, and judges whether consistent.
In one embodiment, the default facial image can be identity card picture.In one embodiment, described pre-
If facial image is also possible to other certificate photographs (such as driver's license photo etc.).In one embodiment, by the living body
Facial image is compared with the default facial image, and traditional facial image alignment algorithm can be used and be compared.One
In a embodiment, if the facial image of the living body is matched with the default facial image, S108 is thened follow the steps.In a reality
It applies in example, if the facial image of the living body and the default facial image mismatch, return step S102.
In one embodiment, the facial image of the living body is compared with default facial image, it can be in the people
It is completed on face identification server.Specifically, the recognition of face server can will be described according to the facial image alignment algorithm
The facial image of living body is compared with default facial image, and judges whether the two is consistent.In one embodiment, the people
Face identification server also can be replaced user terminal.
S108: if the facial image of the living body is consistent with the default facial image, door open command is sent to intelligence
Energy door lock is opened with controlling the intelligent door lock.
It in one embodiment, can be by described if the facial image of the living body is consistent with the default facial image
The door open command is sent to the intelligent door lock by recognition of face server.In one embodiment, the recognition of face clothes
The door open command can be sent to the intelligent door lock by wireless transmission method by business device.Specifically, the wireless transmission side
Formula can be bluetooth, WIFI etc..
In one embodiment, the door open command can be sent to the intelligent door by the recognition of face server
Main control device in lock, such as MCU, processor etc..The main control device receives the door open command, and controls the intelligent door
Lock opens the door.
In one embodiment, collected described image is subjected to a series of data in the recognition of face server
Processing, and related algorithm, parameter and data processed result are stored in the recognition of face server, data are safer.
In one embodiment, the recognition of face server can also be replaced with user terminal, such as mobile phone, plate etc..
In the present embodiment, judge whether facial image is living body in the way of non-interactive type face In vivo detection, goes forward side by side one
Step demonstrate,proves the facial image and whether the default facial image consistent, both only unanimously after, can just send door open command.
The present embodiment uses this control mode, eliminates security risk, increases safety.The present embodiment is because using nonreciprocal simultaneously
Formula face In vivo detection mode, avoids human-computer interaction, has advantage easy to operate.
In one embodiment, described that image is acquired in predetermined period, face inspection is carried out to collected described image
It surveys, and judges whether that the step of detecting face includes: to acquire image in the predetermined period, based on default face algorithm pair
Collected described image carries out Face datection, and judges whether to detect face.If judging collected described image for institute
Facial image is stated, collected described image for facial image, is based on non-interactive type face living body if judging described in then carrying out
Detection mode judges the step of whether facial image is living body.If judging the non-face figure of collected described image
Picture then resurveys image in the predetermined period.
In one embodiment, image can be acquired in the predetermined period by image capture module.Implement at one
In example, described image acquisition module can be camera.In one embodiment, described image acquisition module can will be collected
Described image be sent to the recognition of face server and carry out Face datection, and judge whether to detect face.In a reality
It applies in example, the recognition of face server can carry out face inspection to collected described image according to the default face algorithm
It surveys.The default face algorithm can be traditional face recognition algorithms, and it is self-designed with face figure to be also possible to user
As the recognizer of identification function.
In one embodiment, if described judge that collected described image for facial image, is based on non-interactive type people
After face In vivo detection mode judges the step of whether facial image is living body, the method also includes: if described in judgement
Facial image is the facial image of non-living body, then return is described acquires image in predetermined period, to collected described image
Face datection is carried out, and judges whether the step of detecting face.In one embodiment, it can be serviced by the recognition of face
Device judges the facial image for the facial image of non-living body.Data are handled and deposited using the recognition of face server
Storage, safety are higher.
In one embodiment, if described judge the facial image for the facial image of living body, by the living body
Facial image is compared with default facial image, and if judging whether that consistent step includes: to judge that the facial image is
The facial image of the living body then obtains default facial image；Based on default face alignment algorithm by the face figure of the living body
As being compared with the default facial image got, and judge whether consistent.
In one embodiment, the default facial image can be sent to the recognition of face by the user terminal
Server, thus using the recognition of face server based on default face alignment algorithm by the facial image of the living body with obtain
The default facial image got is compared, and judges whether consistent.
In one embodiment, it if the facial image of the living body is consistent with the default facial image, will open
Door instruction is sent to intelligent door lock, before controlling the step of intelligent door lock is opened, the method also includes: if the work
The facial image of body and the default facial image are inconsistent, then return it is described image is acquired in predetermined period, to collecting
Described image carry out Face datection, and judge whether the step of detecting face.
In one embodiment, if the facial image of the living body and the default facial image are inconsistent, institute can be passed through
Recognition of face server prompts user terminal is stated, the facial image of the living body matches not successfully with the default facial image,
I.e. recognition of face fails.
In one embodiment, it if the facial image of the living body is consistent with the default facial image, will open
Door instruction be sent to intelligent door lock, if with control the intelligent door lock open the step of include: the living body facial image with
The default facial image is consistent, then door open command is sent to the intelligent door lock by bluetooth, to control the intelligent door
Lock is opened；The intelligent door lock is unlocked based on the door open command, and records upload server for unlocking.
In one embodiment, the door open command is sent to institute by bluetooth using the recognition of face server
State intelligent door lock.In one embodiment, the main control device in the intelligent door lock receives the door open command, and based on described
Door open command controls the intelligent door lock and opens the door.In one embodiment, it can will also be unlocked on record by the main control device
Server (the i.e. described recognition of face server) is reached, in order to later period inquiry, provides the safety used.
In one embodiment, described that image is acquired in predetermined period, face inspection is carried out to collected described image
It surveys, and before judging whether the step of detecting face, the method also includes: the identity information of typing user and booking
Request, and the identity information is sent to server；After the identity information described in the server authentication is correct, described in reception
The identity information that server is sent confirms instruction.
In one embodiment, it can be requested by the identity information of user terminal typing user and booking, and by institute
It states identity information and is sent to server (the i.e. described recognition of face server).In one embodiment, the user terminal receives
After the identity information confirmation instruction that the server is sent, user's current room is prompted to subscribe successfully.In one embodiment, if
The user terminal does not receive the identity information confirmation instruction that the server is sent within the preset rules time, then prompts to use
Family current room is subscribed not successfully, is please made a reservation for again.In one embodiment, the preset rules time can be according to actual needs
It is set, such as 3-5 minutes etc..
In one embodiment, identity information described in the server authentication, specifically includes:
S202: it receives user terminal and sends identity card picture, and judge whether the identity card picture is authentic and valid.
In one embodiment, the server receives the identity card picture that the user terminal is sent, and utilizes
OCR (Optical Character Recognition, optical character identification) extracts the text number on the identity card picture
According to, and using image recognition extract the image on the identity card picture.If the lteral data is normal, and the body
The image of part license on piece can be with normal registration, then it is assumed that the identity card picture is authentic and valid, otherwise it is assumed that the identity card
Photo is non-genuine effectively.In one embodiment, the user terminal can be the smart machines such as mobile phone, plate.
S204: if the identity card picture is authentic and valid, human face photo is obtained, and living based on the non-interactive type face
Body detection mode judges whether the human face photo is living body.
In one embodiment, the human face photo can be sent to the server by user terminal.And pass through institute
Whether state server uses the non-interactive type face In vivo detection mode to judge the human face photo for living body.In In vivo detection
During, because using the non-interactive type face In vivo detection, do not need the interaction between man-machine, when use more just
It is prompt.In one embodiment, In vivo detection can be carried out to the human face photo based on traditional In vivo detection algorithm.In a reality
It applies in example, if judging, the human face photo for the human face photo of living body, thens follow the steps S206.In one embodiment, if sentencing
The human face photo that breaks is the human face photo of non-living body, thens follow the steps S202.
S206: if judge the human face photo for the human face photo of living body, by the human face photo of the living body with it is described
Identity card picture is compared, and judges whether consistent.
In one embodiment, by the server according to human face photo alignment algorithm by the human face photo of living body and institute
Identity card picture is stated to be compared.In one embodiment, if the human face photo of the living body and the default human face photo
Match, thens follow the steps S208.In one embodiment, if the human face photo of the living body and the default human face photo not
Match, then return step S202.
S208: if the human face photo of the living body is consistent with the identity card picture, the identity information confirmation is sent
Instruction.
In one embodiment, the human face photo and the identity card picture of the living body are judged by the server
Match, then the server sends the identity information confirmation instruction to the user terminal.
In the present embodiment, cooperated using the user terminal and the server, and is examined using non-interactive type face living body
Survey mode carries out real-name authentication process on line, not only avoids human-computer interaction, also improves the safety of the booking.
In one embodiment, if the identity card picture is authentic and valid, human face photo is obtained, and based on described
Before non-interactive type face In vivo detection mode judges the step of whether human face photo is living body, the method also includes:
If the identity card picture be not it is authentic and valid, prompt the user terminal to retransmit the identity card picture, and return
The reception user terminal sends identity card picture, and judges the whether authentic and valid step of the identity card picture.At one
In embodiment, if judging the identity card picture not and being authentic and valid, the first prompt information is sent to institute by the server
State user terminal.First prompt information includes retransmitting the identity card picture, and rejudge the identity card and shine
Piece is not authentic and valid.
In one embodiment, if described judge the human face photo for the human face photo of living body, by the living body
Human face photo is compared with the identity card picture, and before judging whether consistent step, the method also includes: if sentencing
The human face photo that breaks is the human face photo of non-living body, then returns to the reception user terminal and send identity card picture, and judge
The whether authentic and valid step of the identity card picture.
In one embodiment, the server judge the human face photo for the human face photo of non-living body, then clothes
Business device sends the second prompt information to the user terminal.Second prompt information includes: that presently described human face photo is non-
The human face photo of living body need to upload the human face photo again.
In one embodiment, if described judge the human face photo for the human face photo of living body, by the living body
Human face photo is compared with the identity card picture, and if judging whether that consistent step includes: to judge the human face photo
For the human face photo of the living body, then the human face photo of the living body and the identity card picture are calculated according to default face alignment
Method is compared, and judges whether consistent.In one embodiment, the default face alignment algorithm can be traditional face
Alignment algorithm.The default face alignment algorithm can be stored in the server in advance.
In one embodiment, if the human face photo of the living body is consistent with the identity card picture, institute is sent
Before the step of stating identity information confirmation instruction, the method also includes: if the human face photo of the living body and the identity card
Photo is inconsistent, then the user terminal photo is prompted to compare failure, and returns to the reception user terminal and send identity card photograph
Piece, and judge the whether authentic and valid step of the identity card picture.
In one embodiment, if the human face photo of the living body and the identity card picture are inconsistent, the service
Device sends third prompt information to the user terminal.The third prompt information include the living body human face photo with it is described
Identity card picture compares failure.
In one embodiment, the intelligent door lock may include lock core, lock body, main control device (such as MCU etc.), communication mould
Block and shell composition.Traditional connection type can be used in connection relationship between all parts of the intelligent door lock.
The application utilizes the cooperation of the server, the user terminal and the intelligent door lock three, and user is first
Carry out booking by the user terminal and upload personally identifiable information, the server to upload personally identifiable information into
The a series of data processing of row, verifying, so that it is determined that the authenticity of current personally identifiable information；Later again with the intelligent door lock
Cooperation, further verify active user whether be booking user, when both being only same user, the server is
The door open command can be issued, is opened the door to control the intelligent door lock.The application is by the server and the user
Terminal is acquired image and recognition of face, while storing data in the server or the user terminal, not only drops
The low hardware cost of the intelligent door lock, also improves the safety used.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (12)
1. a kind of intelligent door lock control method based on recognition of face characterized by comprising
Image is acquired in predetermined period, Face datection is carried out to collected described image, and judge whether to detect face；
If judging collected described image for facial image, the people is judged based on non-interactive type face In vivo detection mode
Whether face image is living body；
If judge the facial image for the facial image of living body, by the facial image of the living body and default facial image into
Row compares, and judges whether consistent；
If the facial image of the living body is consistent with the default facial image, door open command is sent to intelligent door lock, with
The intelligent door lock is controlled to open.
2. the intelligent door lock control method based on recognition of face as described in claim 1, which is characterized in that described in default week
Image is acquired in phase, Face datection is carried out to collected described image, and judge whether that the step of detecting face includes:
Image is acquired in the predetermined period, Face datection is carried out to collected described image based on default face algorithm,
And judge whether to detect face；
If judging collected described image for the facial image, if judging described in carrying out, collected described image is behaved
The step of whether facial image is living body then judged based on non-interactive type face In vivo detection mode for face image；
If judging the non-facial image of collected described image, image is resurveyed in the predetermined period.
3. the intelligent door lock control method based on recognition of face as described in claim 1, which is characterized in that if the judgement is adopted
The described image integrated as facial image, then based on non-interactive type face In vivo detection mode judge the facial image whether be
After the step of living body, the method also includes:
If judging the facial image for the facial image of non-living body, return it is described image is acquired in predetermined period, to adopting
The described image collected carries out Face datection, and judges whether the step of detecting face.
4. the intelligent door lock control method based on recognition of face as described in claim 1, which is characterized in that if described judge institute
The facial image that facial image is living body is stated, then the facial image of the living body is compared with default facial image, and sentence
It is disconnected that whether consistent step includes:
If judging the facial image for the facial image of the living body, default facial image is obtained；
The facial image of the living body is compared with the default facial image got based on default face alignment algorithm
It is right, and judge whether consistent.
5. the intelligent door lock control method based on recognition of face as described in claim 1, which is characterized in that if the work
The facial image of body is consistent with the default facial image, then door open command is sent to intelligent door lock, to control the intelligence
Before the step of door lock is opened, the method also includes:
If the facial image of the living body and the default facial image are inconsistent, return to described acquire in predetermined period and scheme
Picture carries out Face datection to collected described image, and judges whether the step of detecting face.
6. the intelligent door lock control method based on recognition of face as claimed in claim 5, which is characterized in that if the work
The facial image of body is consistent with the default facial image, then door open command is sent to intelligent door lock, to control the intelligence
Door lock open the step of include:
If the facial image of the living body is consistent with the default facial image, door open command is sent to by bluetooth described
Intelligent door lock is opened with controlling the intelligent door lock；
The intelligent door lock is unlocked based on the door open command, and records upload server for unlocking.
7. the intelligent door lock control method based on recognition of face as described in claim 1, which is characterized in that described in default week
Image is acquired in phase, Face datection is carried out to collected described image, and before judging whether the step of detecting face, institute
State method further include:
The identity information of typing user and booking request, and the identity information is sent to server；
After the identity information described in the server authentication is correct, the identity information confirmation instruction that the server is sent is received.
8. the intelligent door lock control method based on recognition of face as claimed in claim 7, which is characterized in that the server is tested
The identity information is demonstrate,proved, is specifically included:
It receives user terminal and sends identity card picture, and judge whether the identity card picture is authentic and valid；
If the identity card picture is authentic and valid, human face photo is obtained, and be based on non-interactive type face In vivo detection side
Formula judges whether the human face photo is living body；
If judging the human face photo for the human face photo of living body, by the human face photo of the living body and the identity card picture
It is compared, and judges whether consistent；
If the human face photo of the living body is consistent with the identity card picture, the identity information confirmation instruction is sent.
9. the intelligent door lock control method based on recognition of face as claimed in claim 8, which is characterized in that if the body
Part license piece is authentic and valid, then obtains human face photo, and judge the people based on the non-interactive type face In vivo detection mode
Before the step of whether face photo is living body, the method also includes:
If the identity card picture be not it is authentic and valid, prompt the user terminal to retransmit the identity card picture, and
It returns to the reception user terminal and sends identity card picture, and judge the whether authentic and valid step of the identity card picture.
10. the intelligent door lock control method based on recognition of face as claimed in claim 8, which is characterized in that if the judgement
The human face photo is the human face photo of living body, then the human face photo of the living body is compared with the identity card picture,
And before judging whether consistent step, the method also includes:
If judging the human face photo for the human face photo of non-living body, returns to the reception user terminal and send identity card photograph
Piece, and judge the whether authentic and valid step of the identity card picture.
11. the intelligent door lock control method based on recognition of face as claimed in claim 8, which is characterized in that if the judgement
The human face photo is the human face photo of living body, then the human face photo of the living body is compared with the identity card picture,
And judge whether that consistent step includes:
If judging the human face photo for the human face photo of the living body, by the human face photo of the living body and the identity card
Photo is compared according to default face alignment algorithm, and judges whether consistent.
12. the intelligent door lock control method based on recognition of face as claimed in claim 8, which is characterized in that if described
It is described before the step of human face photo of living body is consistent with the identity card picture, then sends the identity information confirmation instruction
Method further include:
If the human face photo of the living body and the identity card picture are inconsistent, prompt the user terminal photo to compare and lose
It loses, and returns to the reception user terminal and send identity card picture, and judge the whether authentic and valid step of the identity card picture
Suddenly.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112330861A (en) * | 2020-07-30 | 2021-02-05 | 深圳Tcl新技术有限公司 | Face unlocking method of intelligent door lock, terminal equipment and readable storage medium |
| CN115273288A (en) * | 2022-08-03 | 2022-11-01 | 深圳市杉川机器人有限公司 | Unlocking method based on face recognition, intelligent door lock and readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201845368U (en) * | 2010-09-21 | 2011-05-25 | 北京海鑫智圣技术有限公司 | Human face and fingerprint access control with living body detection function |
| CN103106397A (en) * | 2013-01-19 | 2013-05-15 | 华南理工大学 | Human face living body detection method based on bright pupil effect |
| CN106778607A (en) * | 2016-12-15 | 2017-05-31 | 国政通科技股份有限公司 | A kind of people based on recognition of face and identity card homogeneity authentication device and method |
| US20180165899A1 (en) * | 2016-12-14 | 2018-06-14 | Novetechnologies, LLC | Livestock biosecurity system and method of use |
| CN108205834A (en) * | 2017-12-15 | 2018-06-26 | 深圳市商汤科技有限公司 | Access control management method and access control system |
| CN108229362A (en) * | 2017-12-27 | 2018-06-29 | 杭州悉尔科技有限公司 | A kind of binocular recognition of face biopsy method based on access control system |
| CN108830585A (en) * | 2018-08-28 | 2018-11-16 | 杭州魔点科技有限公司 | Unmanned shop payment system, control method and control device based on recognition of face |
| CN109493479A (en) * | 2018-11-08 | 2019-03-19 | 济南浪潮高新科技投资发展有限公司 | A kind of people place dweller's authentication system and method based on recognition of face |
| CN109801412A (en) * | 2018-12-27 | 2019-05-24 | 深圳云天励飞技术有限公司 | Gate inhibition's unlocking method and relevant apparatus |
-
2019
- 2019-05-30 CN CN201910463296.3A patent/CN110335379A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201845368U (en) * | 2010-09-21 | 2011-05-25 | 北京海鑫智圣技术有限公司 | Human face and fingerprint access control with living body detection function |
| CN103106397A (en) * | 2013-01-19 | 2013-05-15 | 华南理工大学 | Human face living body detection method based on bright pupil effect |
| US20180165899A1 (en) * | 2016-12-14 | 2018-06-14 | Novetechnologies, LLC | Livestock biosecurity system and method of use |
| CN106778607A (en) * | 2016-12-15 | 2017-05-31 | 国政通科技股份有限公司 | A kind of people based on recognition of face and identity card homogeneity authentication device and method |
| CN108205834A (en) * | 2017-12-15 | 2018-06-26 | 深圳市商汤科技有限公司 | Access control management method and access control system |
| CN108229362A (en) * | 2017-12-27 | 2018-06-29 | 杭州悉尔科技有限公司 | A kind of binocular recognition of face biopsy method based on access control system |
| CN108830585A (en) * | 2018-08-28 | 2018-11-16 | 杭州魔点科技有限公司 | Unmanned shop payment system, control method and control device based on recognition of face |
| CN109493479A (en) * | 2018-11-08 | 2019-03-19 | 济南浪潮高新科技投资发展有限公司 | A kind of people place dweller's authentication system and method based on recognition of face |
| CN109801412A (en) * | 2018-12-27 | 2019-05-24 | 深圳云天励飞技术有限公司 | Gate inhibition's unlocking method and relevant apparatus |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112330861A (en) * | 2020-07-30 | 2021-02-05 | 深圳Tcl新技术有限公司 | Face unlocking method of intelligent door lock, terminal equipment and readable storage medium |
| CN112330861B (en) * | 2020-07-30 | 2024-09-17 | 深圳Tcl新技术有限公司 | Face unlocking method of intelligent door lock, terminal equipment and readable storage medium |
| CN115273288A (en) * | 2022-08-03 | 2022-11-01 | 深圳市杉川机器人有限公司 | Unlocking method based on face recognition, intelligent door lock and readable storage medium |
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