CN109376614A - A kind of service providing method and device based on face - Google Patents
A kind of service providing method and device based on face Download PDFInfo
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- 235000012054 meals Nutrition 0.000 description 11
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- G—PHYSICS
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- 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
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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Abstract
This application provides a kind of service providing method and device based on face, interface is provided according to the display service of target facial image, and destination service content corresponding with target facial image is searched in the first face database, because the first face database is the face database being made of the facial image of the equipment acquisition in preset range, preset range is to meet the equipment of preset distance threshold at a distance from the equipment of acquisition target facial image, so compared with general face library, because the quantity of face is few, so that searches is high-efficient, but because preset range considers the scope of activities of user, therefore relative to using general face library, discrimination can't reduce.Also, in the payment stage, it is only necessary to be compared collected facial image with target facial image, without being matched in face database to confirm user identity, thus, it is also possible to improve efficiency.
Description
Technical field
This application involves electronic information field more particularly to a kind of service providing methods and device based on face.
Background technique
With the development of electronic information technology, recognition of face is gradually used in every field, provides particularly with service
Field, foundation of the face as user identity identification can improve being experienced by service for user.By taking catering industry as an example, user
Face recognition technology can be used, realization is ordered and payment process.
In the service providing process based on recognition of face, how efficiency and discrimination are taken into account, becomes urgently to be resolved at present
The problem of.
Summary of the invention
This application provides a kind of service providing method and device based on face, it is therefore intended that solve how to be based on people
The problem of taking into account efficiency and discrimination in the service providing process of face identification.
To achieve the goals above, this application provides following technical schemes:
A kind of service providing method based on face, comprising:
Acquire the first image；
If in the first image including target facial image, display service provides interface, the target facial image
For the facial image for meeting preset condition；
Interface, displaying target service content are provided in the service, the destination service content is the target face figure
As corresponding service content, the destination service content is searched according to the target facial image and is obtained from the first face database,
First face database be by the face database that forms of facial image of the equipment acquisition in preset range, the preset range be with
The distance for acquiring the equipment of the target facial image meets the equipment of preset distance threshold；
Based on the payment request for being directed to the service content, the second image is acquired, second image is the target person
The trigger condition of the face image payment request in response.
Optionally, the preset condition includes:
Area is maximum in multiple facial images, area be greater than first threshold, angle within a preset range, clarity be greater than the
At least one of in two threshold values.
Optionally, after the display services and provides interface, further includes:
It detects whether that the target facial image can be traced into；
If the target facial image cannot be traced into, after providing the service to interface holding preset duration, exit
The service provides interface, and/or, prompt information is issued, the prompt information is for prompting the target user to move face
Move predeterminable area.
Optionally, it is exited after the service provides interface described, further includes:
Service content of the caching before exiting in service offer interface.
Optionally, further includes:
If in the preset time range after service content before the caching exits in service offer interface,
Detect the target facial image, the service of display caching provides the service content in interface.
A kind of service providing method based on face, comprising:
Target facial image is obtained, the target facial image is the facial image for meeting preset condition；
From the first face database, destination service content is searched, first face database is for storing preset facial image
And the corresponding relationship of service content；First face database is to be made of the facial image of the equipment acquisition in preset range
Face database, the preset range are to meet setting for preset distance threshold at a distance from the equipment for acquiring the target facial image
It is standby；The destination service content is service content corresponding with the target facial image；
Obtain the payment request for being directed to the destination service content；
If including the target facial image in the payment request, the payment request is responded.
Optionally, further includes:
If not including the destination service content in first face database, the target is searched from the second face database
Service content, second face database are used to store the corresponding relationship of preset facial image and service content；Described second
The quantity for the face that facial image in face database indicates is greater than the face that the facial image in first face database indicates
Quantity.
Optionally, further includes:
If finding multiple target users from second face database, input identity is prompted to distinguish information；
Information is distinguished according to the identity, a target user, second people are determined from the multiple target user
It further include the corresponding relationship that identity distinguishes information and facial image and service content in face library.
A kind of service providing client based on face, comprising:
Acquisition module, for acquiring the first image；
Display module, if display service provides interface, described for including target facial image in the first image
Target facial image is the facial image for meeting preset condition；
The display module is also used to, and provides interface, displaying target service content, in the destination service in the service
Holding is the corresponding service content of the target facial image, and the destination service content is from the first face database, according to the mesh
It marks facial image and searches acquisition, first face database is the face being made of the facial image of the equipment acquisition in preset range
Library, the preset range are to meet the equipment of preset distance threshold at a distance from the equipment for acquiring the target facial image；
The acquisition module is also used to, and based on the payment request for being directed to the service content, acquires the second image, and described the
Two images are the trigger condition of the target facial image payment request in response.
Optionally, the preset condition includes:
Area is maximum in multiple facial images, area be greater than first threshold, angle within a preset range, clarity be greater than the
At least one of in two threshold values.
Optionally, further includes:
Tracking module, for detecting whether the target facial image can be traced into；If the mesh cannot be traced into
Facial image is marked, after providing the service to interface holding preset duration, the service is exited and interface is provided, and/or, sending mentions
Show information, the prompt information is for prompting the target user that face is moved to predeterminable area.
Optionally, the tracking module is also used to:
Exited after the service provides interface described, caching before exiting the service provide in the service in interface
Hold.
Optionally, the tracking module is also used to:
If in the preset time range after service content before the caching exits in service offer interface,
Detect the target facial image, the service of display caching provides the service content in interface.
A kind of service offer server-side based on face, comprising:
Module is obtained, for obtaining target facial image, the target facial image is the face figure for meeting preset condition
Picture；
Searching module, for from the first face database, searching destination service content, first face database is pre- for storing
If facial image and service content corresponding relationship；First face database is by the people of the equipment acquisition in preset range
The face database of face image composition, the preset range are preset to meet at a distance from the equipment for acquiring the target facial image
The equipment of distance threshold；The destination service content is service content corresponding with the target facial image；
The acquisition module is also used to, and obtains the payment request for being directed to the destination service content；
Payment module, if responding the payment request for including the target facial image in the payment request.
Optionally, the searching module is also used to:
If not including the destination service content in first face database, the target is searched from the second face database
Service content, second face database are used to store the corresponding relationship of preset facial image and service content；Described second
The quantity for the face that facial image in face database indicates is greater than the face that the facial image in first face database indicates
Quantity.
Optionally, the searching module is also used to:
If finding multiple target users from second face database, input identity is prompted to distinguish information；According to
Information is distinguished according to the identity, a target user is determined from the multiple target user, is also wrapped in second face database
Include the corresponding relationship that identity distinguishes information and facial image and service content.
Service providing method and device described herein based on face is provided according to the display service of target facial image
Interface, and destination service content corresponding with target facial image is searched in the first face database, because the first face database is served as reasons
The face database of the facial image composition of equipment acquisition in preset range, preset range are the equipment with acquisition target facial image
Distance meet the equipment of preset distance threshold, so, because the quantity of face is few, being searched compared with general face library
It is high-efficient, but because preset range considers the scope of activities of user, relative to general face library is used, identify
Rate can't reduce.Also, in the payment stage, it is only necessary to collected facial image is compared with target facial image,
Without being matched in face database to confirm user identity, thus, it is also possible to improve efficiency.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow chart of the service providing method based on face disclosed in the embodiment of the present application；
Fig. 2 is the flow chart of the process of ordering based on face disclosed in the embodiment of the present application；
Fig. 3 is the structural schematic diagram of the service providing client based on face disclosed in the embodiment of the present application；
Fig. 4 provides the structural schematic diagram of server-side for the service based on face disclosed in the embodiment of the present application.
Specific embodiment
Service providing method based on face disclosed in the embodiment of the present application executes with client and server-side,
In practice, client and server-side can be set on an entity device, can also be distributed and different entity devices is arranged in
On.
Client includes but is not limited to: self-help meal ordering machine, Self-service Tickets, self-service sale device, ATM in bank, automatic brake
Machine, amusement facility etc..
In general, it can also include but is not limited to optionally to pass that client, which may include controller, display screen and camera,
The auxiliary devices such as sensor, printer, code reader.
In following embodiment of the invention, camera includes but is not limited to common camera, depth camera, infrared takes the photograph
As head, environment light video camera head etc..
The software systems of client include but is not limited to the boundaries such as Windows system, Linux desktop system, android system
Face operating system and software on operating system is operated in, software provides face recognition algorithms and calls camera
Driver.
Server-side can be server.
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 description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Fig. 1 is a kind of service providing method based on face disclosed in the embodiment of the present application, comprising the following steps:
S101: client acquires the first image.
In the present embodiment, client can include but is not limited to people in acquired image by camera collection image
Face image.
S102: whether client judges in the first image of acquisition including meeting the facial image of preset condition (referred to as
Target facial image), if so, S103 is executed, if not, executing S101.
Wherein, preset condition includes: that area is maximum in multiple faces, area is greater than first threshold, angle in preset range
Interior, clarity is greater than at least one in second threshold.Wherein, angle refers to face and acquires the angle of equipment, including but not
It is limited to: the elevation angle, the angle of depression, left and right angle etc. of the face relative to acquisition equipment.
The purpose that preset condition is arranged is, the face for having demand for services and collected other faces is distinguished, to keep away
Exempt from by the face false triggering of not demand for services, to save resource.
S103: client display service provides interface.
It is the interface provided services to the user, such as the interface of ordering of self-help meal ordering machine that service, which provides interface,.It is being waken up
Before, client can show advertisement interface, or be in standby.
S104: target facial image is issued server-side by client.
S105: server-side from the first face database, search destination service content, wherein target user be and target face
The corresponding service content of image.
First face database be used for store preset facial image, user information (option is used to indicate user) and
The corresponding relationship of service content.
It is emphasized that the first face database is the face being made of the facial image of the equipment acquisition in preset range
Library, preset range are to meet the equipment of preset distance threshold at a distance from the equipment of acquisition target facial image.Wherein, equipment
For image capture devices such as the camera of setting on the client.
Because the facial image in the first face database is at a distance from the client for collecting target facial image default
The collected facial image of client in range therefore in practice, can be by the size of restriction preset range, to set
The size of fixed first face database.For example, server-side comparison facial image makes after the client in a dining room collects facial image
Face database are as follows: the face database being made of the facial image for the client acquisition being arranged in the dining room near the dining room.
As it can be seen that the first face database used in the present embodiment is compared with existing general face library, the negligible amounts of face,
Therefore it can be improved matched efficiency, but because it is contemplated that the zone of action of user, therefore can't be because of the quantity of face
Reduce discrimination less.
S106: server-side sends destination service content to client.
S107: client provides interface display service content in service.
S108: client receives the first payment request for being directed to destination service content.
S109: client acquires the second image.
In the present embodiment, " first " and " second " is used to distinguish the image acquired at different opportunitys (S101 and S109).
S110: the second payment request is issued server-side by client.
It further include the second image in second payment request other than including the content in the first payment request.For example, second
It include the payment informations such as the second image and payment amount in payment request.
S111: whether server-side judges in the second image to include target facial image, if so, S112 is executed, if not,
Authentication error request is sent to client.
S112: response payment request.
In general, response payment request can pay for payment request is issued third-party payment system, such as pay
At to client transmission payment success message, otherwise prompt payment failure.
It can be seen that server-side from process shown in FIG. 1 and use first face database smaller than General Face Image library, matching
The facial image that client is sent, therefore search efficiency is higher, and because face in the first face database by with people to be matched
Equipment acquisition of the acquisition equipment of face image within the scope of pre-determined distance, so, it is contemplated that the scope of activities of user, the first face
A possibility that including face to be matched in library can't because of facial image quantity reduction and reduce, relative to using
General face library, discrimination can't reduce.And, it is only necessary to the facial image that phase acquisition arrives will be paid and led to matched
The target facial image crossed is compared, and can be paid, without will pay the facial image that arrives of phase acquisition again in people
Face is matched in library to confirm user identity, thus, it is also possible to improve efficiency.In conclusion method shown in FIG. 1, not only
Efficiency is improved, discrimination also with higher.
Fig. 2 is described in detail the process of ordering based on face by taking Self-help ordering scene as an example.
Fig. 2 the following steps are included:
S201: self-help meal ordering machine is in standby, and acquires image with the preset period.
It, will acquired image be known as the first image (before S203) in the standby state in the present embodiment.
S202: whether self-help meal ordering machine judges in the first image to include target facial image, if so, executing S203, such as
Fruit is no, executes S01.
Specifically, whether self-help meal ordering machine judges in the first image to include facial image, if so, having detected whether multiple
Facial image, if so, using the maximum facial image of area as target facial image, the area for detecting target facial image is
It is no to be greater than first threshold, if so, detection target facial image angle (angle can include but is not limited to nod direction, shake
The angle in head direction, hunt direction) whether within a preset range, if so, the clarity of detection target facial image is
It is no to be greater than second threshold, if it is, including target (meeting preset condition) facial image in the first image.Each of the above
Detecting step is not include the case where target facial image in the first image in a case of no.
The deterministic process (S202) that triggering shows interface of ordering is executed by self-help meal ordering machine, is conducive to raising and shows the boundary that orders
The response speed in face.
S203: target facial image is issued server-side by self-help meal ordering machine.
S204: server-side judges the corresponding target food and drink of target facial image whether can be found from the first face database
Content, if so, S205 is executed, if not, executing S212.
S205: target food and drink content is issued self-help meal ordering machine by server-side.
Specifically, if the corresponding user of target facial image (i.e. target user) is historical user, target face figure
As the history in corresponding food and drink content including target user is ordered content, so that target user quickly can select history to order
Food product in content.It can be with if target user is not historical user, in the corresponding target food and drink content of target facial image
Including recommending the contents such as food product.Certainly, ordering in order to facilitate user can wrap in the corresponding food and drink content of face images
Include the list of whole food and drink.
S206: self-help meal ordering machine shows interface of ordering, and includes the corresponding target food and drink of target facial image in the page of ordering
Content.
User can select the food and drink needed on self-help meal ordering machine.
S207: self-help meal ordering machine detects whether that target facial image can be traced into, if not, executing S208-S211, such as
Fruit is to execute S207.
S208: client display reminding information, prompt information is for prompting target user that face is moved to predeterminable area.
Predeterminable area is the region that can trace into target facial image.
For example, the user to order turns on head because of certain reasons, so that camera does not acquire facial image,
Client issues prompt, and prompting user that face is moved on to can be in acquisition range, so that ordering for user is not disrupted.
S209: it after the page of ordering including target food and drink content is kept preset duration by client, exits service and circle is provided
Face.
It should be noted that preset duration timing since tracking fall short facial image.
S210: client-cache exit before the page of ordering.
Interface of ordering before exiting, it may be possible to target food and drink content, it is also possible to which target user is in target food and drink content
Content after being operated, for example, having selected part food and drink from target food and drink content.
S211: if client resurveys target facial image, the page of ordering of display caching.
It should be noted that S211 is executed in preset time range after executing S210, that is to say, that if because used
Family temporarily turns round face and leads to exit interface of ordering, then user face is rotated back into again can be in acquisition range in the case where, again
Show interface of ordering.And it is too long with interval time for resurveying to the first facial image if exiting interface of ordering, have very much
Possible user no longer needs to order, so, be provided with preset time range, can continue in time terminal order process and
It can ensure the privacy of user.
S212: server-side searches destination service content from the second face database.
Second face database is used to store the corresponding relationship of preset facial image, user's (option) and service content,
The quantity for the face that facial image in second face database indicates is greater than the people that the facial image in first face database indicates
The quantity of face.Second face database can be general face library.
That is, server-side first matches target facial image from the first face database, if matching is less than from range
It is matched in biggish second face database.
Because the quantity of the face information in the second face database is more, matched accuracy may reduce, and having can
Multiple target users can be matched to, so, it further include S213 in the present embodiment.
S213: if server-side finds multiple target users, input identity is prompted to distinguish information, distinguishes letter according to identity
Breath determines a target user from the multiple target user.
Specifically, server-side, which will be prompted to information, issues client, client display reminding information.For example, prompt input hand
Machine number etc. can distinguish the information of user.
In the case where executing S213, in the second face database further include identity distinguish information and facial image, user and
The corresponding relationship of service content.
It should be noted that if target facial image is not matched to destination service information in the second face database,
Illustrate that user needs to register, i.e. input facial image and identity information (including identity distinctive information).
Optionally, if target facial image is not matched to destination service information in the first face database, and second
It is matched to destination service information in face database, then deposits the corresponding relationship of target image, target user and destination service information
It stores up into the first face library, although recognition of face is led to so that user to the shop in a region in the case where ordering for the first time
Crossing rate may be lower, but point is postprandial for the first time, and the first face database is the facial image that can store user, so discrimination and efficiency are equal
It can be obviously improved.
After user orders, into payment flow:
S214: client acquires the second image, and the payment request including the second image is issued server-side.
S215: whether server-side judges in payment request to include target facial image, if so, S216 is executed, otherwise, to
Client sends authentication error information.
S216: response payment request.
In the present embodiment, the foundation for responding payment request is target facial image, and target facial image logs in for user
The foundation of (i.e. wake-up client display service provides interface), as long as the identification success of i.e. user's landing phase, pays the stage,
Only need to verify whether it is consistent with logging in the facial image used, i.e. from face in the verifying of 1:1, with existing payment flow
The face i.e. mode of 1:N that library goes matching client to send is compared, more efficient.
Fig. 3 is the service providing client based on face disclosed in the embodiment of the present application, comprising: acquisition module, display mould
Block and tracking module.
Acquisition module, for acquiring the first image.If display module is for including target face in the first image
Image, display service provide interface.Display module is also used to provide interface, displaying target service content in the service.Acquisition
Module is also used to acquire the second image based on the payment request for being directed to the service content, and second image is the target
The trigger condition of the facial image payment request in response.
Tracking module is for detecting whether target facial image can be traced into.If target face figure cannot be traced into
Picture, after providing service to interface holding preset duration, service of exiting provides interface, and/or, issue prompt information, prompt information
For prompting target user that face is moved to predeterminable area.And after the service exited provides interface, caching exits preceding service
Service content in interface is provided.If service provides the preset time model after the service content in interface before caching exits
In enclosing, target facial image is detected, the service of display caching provides the service content in interface.
The specific implementation of the function of the above modules, may refer to above method embodiment, and which is not described herein again.
Fig. 4 provides server-side for the service based on face disclosed in the embodiment of the present application, comprising: obtains module, searches mould
Block and payment module.
Module is obtained for obtaining target facial image.Searching module is used for from the first face database, searches destination service
Content is searched in destination service if in first face database not including the destination service content from the second face database
Hold, if finding multiple target users from the second face database, prompts input identity to distinguish information, and according to identity area
Divide information, a target user is determined from multiple target users.
The module that obtains is also used to obtain the payment request for being directed to destination service content.If payment module is for paying
Include target facial image in request, responds payment request.
The specific implementation of the function of the above modules, may refer to above method embodiment, and which is not described herein again.
The above client and server-side assist to complete the service offer process based on face, discrimination with higher and effect
Rate.
If function described in the embodiment of the present application method is realized in the form of SFU software functional unit and as independent production
Product when selling or using, can store in a storage medium readable by a compute device.Based on this understanding, the application is real
The part for applying a part that contributes to existing technology or the technical solution can be embodied in the form of software products,
The software product is stored in a storage medium, including several requests are used so that a calculating equipment (can be personal meter
Calculation machine, server, mobile computing device or network equipment etc.) execute each embodiment the method for the application whole or portion
Step by step.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), with
Machine accesses various Jie that can store program code such as memory (RAM, Random Access Memory), magnetic or disk
Matter.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other
The difference of embodiment, same or similar part may refer to each other between each embodiment.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (16)
1. a kind of service providing method based on face characterized by comprising
Acquire the first image；
If in the first image including target facial image, display service provides interface, and the target facial image is full
The facial image of sufficient preset condition；
Interface, displaying target service content are provided in the service, the destination service content is the target facial image pair
The service content answered, the destination service content is searched according to the target facial image and is obtained from the first face database, described
First face database is the face database being made of the facial image of the equipment acquisition in preset range, and the preset range is and acquisition
The equipment that the distance of the equipment of the target facial image meets preset distance threshold；
Based on the payment request for being directed to the service content, the second image is acquired, second image is the target face figure
As the trigger condition of the payment request in response.
2. the method according to claim 1, wherein the preset condition includes:
Area is maximum in multiple facial images, area be greater than first threshold, angle within a preset range, clarity be greater than the second threshold
At least one of in value.
3. the method according to claim 1, wherein after the display services and provides interface, further includes:
It detects whether that the target facial image can be traced into；
If the target facial image cannot be traced into, after providing the service to interface holding preset duration, exit described
Service provides interface, and/or, prompt information is issued, the prompt information is for prompting the target user to be moved to face
Predeterminable area.
4. according to the method described in claim 3, also wrapping it is characterized in that, exited after the service provides interface described
It includes:
Service content of the caching before exiting in service offer interface.
5. according to the method described in claim 4, it is characterized by further comprising:
If in the preset time range after service content before the caching exits in service offer interface, detection
To the target facial image, the service of display caching provides the service content in interface.
6. a kind of service providing method based on face characterized by comprising
Target facial image is obtained, the target facial image is the facial image for meeting preset condition；
From the first face database, search destination service content, first face database for store preset facial image and
The corresponding relationship of service content；First face database is the face being made of the facial image of the equipment acquisition in preset range
Library, the preset range are to meet the equipment of preset distance threshold at a distance from the equipment for acquiring the target facial image；
The destination service content is service content corresponding with the target facial image；
Obtain the payment request for being directed to the destination service content；
If including the target facial image in the payment request, the payment request is responded.
7. according to the method described in claim 6, it is characterized by further comprising:
If not including the destination service content in first face database, the destination service is searched from the second face database
Content, second face database are used to store the corresponding relationship of preset facial image and service content；Second face
The quantity for the face that facial image in library indicates is greater than the quantity for the face that the facial image in first face database indicates.
8. the method according to the description of claim 7 is characterized in that further include:
If finding multiple target users from second face database, input identity is prompted to distinguish information；
Information is distinguished according to the identity, a target user, second face database are determined from the multiple target user
In further include corresponding relationship that identity distinguishes information and facial image and service content.
9. a kind of service providing client based on face characterized by comprising
Acquisition module, for acquiring the first image；
Display module, if for including target facial image, display service offer interface, the target in the first image
Facial image is the facial image for meeting preset condition；
The display module is also used to, and provides interface, displaying target service content in the service, the destination service content is
The corresponding service content of the target facial image, the destination service content is from the first face database, according to the target person
Face image, which is searched, to be obtained, and first face database is the face database being made of the facial image of the equipment acquisition in preset range,
The preset range is to meet the equipment of preset distance threshold at a distance from the equipment for acquiring the target facial image；
The acquisition module is also used to, and based on the payment request for being directed to the service content, acquires the second image, second figure
Trigger condition as being the target facial image payment request in response.
10. client according to claim 9, which is characterized in that the preset condition includes:
Area is maximum in multiple facial images, area be greater than first threshold, angle within a preset range, clarity be greater than the second threshold
At least one of in value.
11. client according to claim 9, which is characterized in that further include:
Tracking module, for detecting whether the target facial image can be traced into；If the target person cannot be traced into
Face image after providing the service to interface holding preset duration, exits the service and provides interface, and/or, issue prompt letter
Breath, the prompt information is for prompting the target user that face is moved to predeterminable area.
12. client according to claim 11, which is characterized in that the tracking module is also used to:
Exited after the service provides interface described, caching before exiting the service service content in interface is provided.
13. client according to claim 12, which is characterized in that the tracking module is also used to:
If in the preset time range after service content before the caching exits in service offer interface, detection
To the target facial image, the service of display caching provides the service content in interface.
14. a kind of service based on face provides server-side characterized by comprising
Module is obtained, for obtaining target facial image, the target facial image is the facial image for meeting preset condition；
Searching module, for from the first face database, searching destination service content, first face database is preset for storing
The corresponding relationship of facial image and service content；First face database is by the face figure of the equipment acquisition in preset range
As the face database of composition, the preset range is to meet preset distance at a distance from the equipment for acquiring the target facial image
The equipment of threshold value；The destination service content is service content corresponding with the target facial image；
The acquisition module is also used to, and obtains the payment request for being directed to the destination service content；
Payment module, if responding the payment request for including the target facial image in the payment request.
15. server-side according to claim 14, which is characterized in that the searching module is also used to:
If not including the destination service content in first face database, the destination service is searched from the second face database
Content, second face database are used to store the corresponding relationship of preset facial image and service content；Second face
The quantity for the face that facial image in library indicates is greater than the quantity for the face that the facial image in first face database indicates.
16. server-side according to claim 15, which is characterized in that the searching module is also used to:
If finding multiple target users from second face database, input identity is prompted to distinguish information；According to institute
It states identity and distinguishes information, a target user is determined from the multiple target user, further includes body in second face database
Part distinguishes the corresponding relationship of information and facial image and service content.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738777A (en) * | 2019-09-27 | 2020-01-31 | 恒大智慧科技有限公司 | Property management method and system, and storage medium |
| CN110825765A (en) * | 2019-10-23 | 2020-02-21 | 中国建设银行股份有限公司 | Face recognition method and device |
| CN111723618A (en) * | 2019-03-21 | 2020-09-29 | 浙江莲荷科技有限公司 | Information processing method and device |
| CN111768201A (en) * | 2019-04-02 | 2020-10-13 | 普天信息技术有限公司 | Payment method and device for specific groups of people based on face recognition |
| CN112150231A (en) * | 2019-06-28 | 2020-12-29 | 阿里巴巴集团控股有限公司 | Data processing method, device and system |
| CN112950840A (en) * | 2019-12-11 | 2021-06-11 | 阿里巴巴集团控股有限公司 | Information processing method and device and service terminal |
| CN113032605A (en) * | 2019-12-25 | 2021-06-25 | 中移(成都)信息通信科技有限公司 | Information display method, device and equipment and computer storage medium |
| CN113158823A (en) * | 2021-03-30 | 2021-07-23 | 浙江大华技术股份有限公司 | Face recognition method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101770613A (en) * | 2010-01-19 | 2010-07-07 | 北京智慧眼科技发展有限公司 | Social insurance identity authentication method based on face recognition and living body detection |
| CN106126992A (en) * | 2016-06-27 | 2016-11-16 | 惠州Tcl移动通信有限公司 | A kind of Intelligent Service based on recognition of face provides method, system and intelligent terminal |
| CN106779292A (en) * | 2016-11-18 | 2017-05-31 | 浪潮（苏州）金融技术服务有限公司 | A kind of is the method and device of offering customers service based on recognition of face |
| CN107665434A (en) * | 2017-09-15 | 2018-02-06 | 维沃移动通信有限公司 | A kind of method of payment and mobile terminal |
| CN108062673A (en) * | 2017-11-15 | 2018-05-22 | 平安科技（深圳）有限公司 | Method of payment, terminal device and computer readable storage medium |
| CN108090772A (en) * | 2018-01-29 | 2018-05-29 | 河北三川科技有限公司 | Hotel occupancy brush face payment system and method based on recognition of face |
| CN108108698A (en) * | 2017-12-25 | 2018-06-01 | 哈尔滨市舍科技有限公司 | Method for tracking target and system based on recognition of face and panoramic video |
| CN108182414A (en) * | 2017-12-29 | 2018-06-19 | 阿里巴巴集团控股有限公司 | Current detection method, device and system |
-
2018
- 2018-09-29 CN CN201811147442.3A patent/CN109376614A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101770613A (en) * | 2010-01-19 | 2010-07-07 | 北京智慧眼科技发展有限公司 | Social insurance identity authentication method based on face recognition and living body detection |
| CN106126992A (en) * | 2016-06-27 | 2016-11-16 | 惠州Tcl移动通信有限公司 | A kind of Intelligent Service based on recognition of face provides method, system and intelligent terminal |
| CN106779292A (en) * | 2016-11-18 | 2017-05-31 | 浪潮（苏州）金融技术服务有限公司 | A kind of is the method and device of offering customers service based on recognition of face |
| CN107665434A (en) * | 2017-09-15 | 2018-02-06 | 维沃移动通信有限公司 | A kind of method of payment and mobile terminal |
| CN108062673A (en) * | 2017-11-15 | 2018-05-22 | 平安科技（深圳）有限公司 | Method of payment, terminal device and computer readable storage medium |
| CN108108698A (en) * | 2017-12-25 | 2018-06-01 | 哈尔滨市舍科技有限公司 | Method for tracking target and system based on recognition of face and panoramic video |
| CN108182414A (en) * | 2017-12-29 | 2018-06-19 | 阿里巴巴集团控股有限公司 | Current detection method, device and system |
| CN108090772A (en) * | 2018-01-29 | 2018-05-29 | 河北三川科技有限公司 | Hotel occupancy brush face payment system and method based on recognition of face |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111723618A (en) * | 2019-03-21 | 2020-09-29 | 浙江莲荷科技有限公司 | Information processing method and device |
| CN111768201A (en) * | 2019-04-02 | 2020-10-13 | 普天信息技术有限公司 | Payment method and device for specific groups of people based on face recognition |
| CN112150231A (en) * | 2019-06-28 | 2020-12-29 | 阿里巴巴集团控股有限公司 | Data processing method, device and system |
| CN110738777A (en) * | 2019-09-27 | 2020-01-31 | 恒大智慧科技有限公司 | Property management method and system, and storage medium |
| CN110825765A (en) * | 2019-10-23 | 2020-02-21 | 中国建设银行股份有限公司 | Face recognition method and device |
| CN112950840A (en) * | 2019-12-11 | 2021-06-11 | 阿里巴巴集团控股有限公司 | Information processing method and device and service terminal |
| CN113032605A (en) * | 2019-12-25 | 2021-06-25 | 中移(成都)信息通信科技有限公司 | Information display method, device and equipment and computer storage medium |
| CN113032605B (en) * | 2019-12-25 | 2023-08-18 | 中移(成都)信息通信科技有限公司 | Information display method, device, equipment and computer storage medium |
| CN113158823A (en) * | 2021-03-30 | 2021-07-23 | 浙江大华技术股份有限公司 | Face recognition method and device |
| CN113158823B (en) * | 2021-03-30 | 2023-05-12 | 浙江大华技术股份有限公司 | Face recognition method and device |
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