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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
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Publication number
CN109376614A
CN109376614ACN201811147442.3ACN201811147442ACN109376614ACN 109376614 ACN109376614 ACN 109376614ACN 201811147442 ACN201811147442 ACN 201811147442ACN 109376614 ACN109376614 ACN 109376614A
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China
Prior art keywords
facial image
face
target
service
service content
Prior art date
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CN201811147442.3A
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Chinese (zh)
Inventor
龚龙
林元庆
赵思聪
王加全
张鹏
朱震钧
崔建平
周瑜
胡建平
郑彬彬
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Aibee Beijing Intelligent Technology Co Ltd
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Aibee Beijing Intelligent Technology Co Ltd
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Priority to CN201811147442.3ApriorityCriticalpatent/CN109376614A/en
Publication of CN109376614ApublicationCriticalpatent/CN109376614A/en
Pendinglegal-statusCriticalCurrent

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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

A kind of service providing method and device based on face
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 serviceField, foundation of the face as user identity identification can improve being experienced by service for user.By taking catering industry as an example, userFace 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 presentThe 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 peopleThe 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 imageFor 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 figureAs 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 withThe 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 personThe 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 theAt 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, exitThe service provides interface, and/or, prompt information is issued, the prompt information is for prompting the target user to move faceMove 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 imageAnd the corresponding relationship of service content;First face database is to be made of the facial image of the equipment acquisition in preset rangeFace database, the preset range are to meet setting for preset distance threshold at a distance from the equipment for acquiring the target facial imageIt 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 databaseService content, second face database are used to store the corresponding relationship of preset facial image and service content;Described secondThe quantity for the face that facial image in face database indicates is greater than the face that the facial image in first face database indicatesQuantity.
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 userIt 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 imageTarget 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 serviceHolding is the corresponding service content of the target facial image, and the destination service content is from the first face database, according to the meshIt marks facial image and searches acquisition, first face database is the face being made of the facial image of the equipment acquisition in preset rangeLibrary, 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 theTwo 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 theAt 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 intoFacial image is marked, after providing the service to interface holding preset duration, the service is exited and interface is provided, and/or, sending mentionsShow 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 interfaceHold.
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 conditionPicture;
Searching module, for from the first face database, searching destination service content, first face database is pre- for storingIf facial image and service content corresponding relationship;First face database is by the people of the equipment acquisition in preset rangeThe face database of face image composition, the preset range are preset to meet at a distance from the equipment for acquiring the target facial imageThe 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 databaseService content, second face database are used to store the corresponding relationship of preset facial image and service content;Described secondThe quantity for the face that facial image in face database indicates is greater than the face that the facial image in first face database indicatesQuantity.
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 toInformation is distinguished according to the identity, a target user is determined from the multiple target user, is also wrapped in second face databaseInclude 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 imageInterface, and destination service content corresponding with target facial image is searched in the first face database, because the first face database is served as reasonsThe face database of the facial image composition of equipment acquisition in preset range, preset range are the equipment with acquisition target facial imageDistance meet the equipment of preset distance threshold, so, because the quantity of face is few, being searched compared with general face libraryIt is high-efficient, but because preset range considers the scope of activities of user, relative to general face library is used, identifyRate 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 belowThere 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 thisSome embodiments of application for those of ordinary skill in the art without creative efforts, can be withIt 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 inOn.
Client includes but is not limited to: self-help meal ordering machine, Self-service Tickets, self-service sale device, ATM in bank, automatic brakeMachine, 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 photographAs 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 systemFace operating system and software on operating system is operated in, software provides face recognition algorithms and calls cameraDriver.
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, completeSite 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 onEmbodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every otherEmbodiment 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 imageFace image.
S102: whether client judges in the first image of acquisition including meeting the facial image of preset condition (referred to asTarget 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 rangeInterior, clarity is greater than at least one in second threshold.Wherein, angle refers to face and acquires the angle of equipment, including but notIt 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 awayExempt 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 upBefore, 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 faceThe corresponding service content of image.
First face database be used for store preset facial image, user information (option is used to indicate user) andThe 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 rangeLibrary, preset range are to meet the equipment of preset distance threshold at a distance from the equipment of acquisition target facial image.Wherein, equipmentFor 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 defaultThe collected facial image of client in range therefore in practice, can be by the size of restriction preset range, to setThe size of fixed first face database.For example, server-side comparison facial image makes after the client in a dining room collects facial imageFace 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 faceReduce 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, secondIt 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 payAt 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, matchingThe facial image that client is sent, therefore search efficiency is higher, and because face in the first face database by with people to be matchedEquipment 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 faceA possibility that including face to be matched in library can't because of facial image quantity reduction and reduce, relative to usingGeneral 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 matchedThe target facial image crossed is compared, and can be paid, without will pay the facial image that arrives of phase acquisition again in peopleFace is matched in library to confirm user identity, thus, it is also possible to improve efficiency.In conclusion method shown in FIG. 1, not onlyEfficiency 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 asFruit 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 multipleFacial image, if so, using the maximum facial image of area as target facial image, the area for detecting target facial image isIt 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, shakeThe angle in head direction, hunt direction) whether within a preset range, if so, the clarity of detection target facial image isIt 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 aboveDetecting 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 ordersThe 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 databaseContent, 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 figureAs the history in corresponding food and drink content including target user is ordered content, so that target user quickly can select history to orderFood 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 imageIncluding 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 imagesInclude 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 orderingContent.
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 asFruit 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 providedFace.
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 contentContent 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 usedFamily 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, againShow 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 muchPossible user no longer needs to order, so, be provided with preset time range, can continue in time terminal order process andIt 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 indicatesThe 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 rangeIt 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 canMultiple 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 identityBreath 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 handMachine 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 andThe 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 secondIt is matched to destination service information in face database, then deposits the corresponding relationship of target image, target user and destination service informationIt 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 timeCrossing 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 equalIt 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, toClient 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 userThe 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 flowThe 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 mouldBlock and tracking module.
Acquisition module, for acquiring the first image.If display module is for including target face in the first imageImage, display service provide interface.Display module is also used to provide interface, displaying target service content in the service.AcquisitionModule 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 targetThe 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 intoPicture, after providing service to interface holding preset duration, service of exiting provides interface, and/or, issue prompt information, prompt informationFor prompting target user that face is moved to predeterminable area.And after the service exited provides interface, caching exits preceding serviceService content in interface is provided.If service provides the preset time model after the service content in interface before caching exitsIn 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 mouldBlock and payment module.
Module is obtained for obtaining target facial image.Searching module is used for from the first face database, searches destination serviceContent is searched in destination service if in first face database not including the destination service content from the second face databaseHold, if finding multiple target users from the second face database, prompts input identity to distinguish information, and according to identity areaDivide 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 payingInclude 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 effectRate.
If function described in the embodiment of the present application method is realized in the form of SFU software functional unit and as independent productionProduct when selling or using, can store in a storage medium readable by a compute device.Based on this understanding, the application is realThe 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 meterCalculation machine, server, mobile computing device or network equipment etc.) execute each embodiment the method for the application whole or portionStep by step.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), withMachine accesses various Jie that can store program code such as memory (RAM, Random Access Memory), magnetic or diskMatter.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is otherThe 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 hereinGeneral Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the applicationIt 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 oneThe widest scope of cause.

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CN107665434A (en)*2017-09-152018-02-06维沃移动通信有限公司A kind of method of payment and mobile terminal
CN108062673A (en)*2017-11-152018-05-22平安科技(深圳)有限公司Method of payment, terminal device and computer readable storage medium
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CN108090772A (en)*2018-01-292018-05-29河北三川科技有限公司Hotel occupancy brush face payment system and method based on recognition of face

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CN111723618A (en)*2019-03-212020-09-29浙江莲荷科技有限公司Information processing method and device
CN111768201A (en)*2019-04-022020-10-13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)*2019-06-282020-12-29阿里巴巴集团控股有限公司Data processing method, device and system
CN110738777A (en)*2019-09-272020-01-31恒大智慧科技有限公司Property management method and system, and storage medium
CN110825765A (en)*2019-10-232020-02-21中国建设银行股份有限公司Face recognition method and device
CN112950840A (en)*2019-12-112021-06-11阿里巴巴集团控股有限公司Information processing method and device and service terminal
CN113032605A (en)*2019-12-252021-06-25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)*2019-12-252023-08-18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)*2021-03-302021-07-23浙江大华技术股份有限公司Face recognition method and device
CN113158823B (en)*2021-03-302023-05-12浙江大华技术股份有限公司Face recognition method and device

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