CN111738777A - Coupon pushing method and device, storage medium and intelligent terminal - Google Patents
Coupon pushing method and device, storage medium and intelligent terminal Download PDFInfo
- Publication number
- CN111738777A CN111738777A CN202010693154.9A CN202010693154A CN111738777A CN 111738777 A CN111738777 A CN 111738777A CN 202010693154 A CN202010693154 A CN 202010693154A CN 111738777 A CN111738777 A CN 111738777A
- Authority
- CN
- China
- Prior art keywords
- coupon
- face
- information
- pushing
- coupons
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0236—Incentive or reward received by requiring registration or ID from user
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Multimedia (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Human Computer Interaction (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a coupon pushing method and device, a storage medium and an intelligent terminal. The method comprises the steps that a camera carries out real-time face detection on a person in front of a screen, when the fact that the person passes is monitored, an avatar is triggered, and the avatar sends a coupon in real time through voice and actions according to consumption habits and preferences of members and the valid period of the existing coupon and reminds the expiration of the coupon. A method for obtaining coupons without logging into an electronic service platform is provided. The method has the advantages that the pushing audience of the coupons is increased, the individual coupons of each user can be pushed accurately, interactivity and interestingness in the process of pushing the coupons are increased, member experience is improved, and the verification and marketing rate of the coupons is increased.
Description
Technical Field
The invention relates to the technical field of coupon pushing, in particular to a coupon pushing method and device, a storage medium and an intelligent terminal.
Background
With the development of network technology, various coupon distribution modes appear. For example, the e-commerce service platform displays the coupon, and the user logs in the e-commerce service platform and clicks and acquires the coupon. However, in the prior art, a user needs to actively log in an e-commerce service platform and actively click to obtain a coupon, and these coupon push methods have the problems of complex operation, incapability of pushing on demand, low coupon verification and sale rate, poor push effect and the like.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, coupons cannot be pushed according to requirements, the coupon verification and sale rate is low, the pushing effect is poor, the operation is complex, a user needs to actively take the coupons, and the like.
In order to achieve the purpose, the invention provides a coupon pushing method, a coupon pushing device, a storage medium and an intelligent terminal.
The coupon pushing method comprises the following steps:
acquiring an image;
carrying out face detection on the image;
when a face is detected, extracting a characteristic value of the face by using a pre-trained face characteristic model to obtain a face template;
carrying out face matching on the face template and a face data set preset in a member face library;
when the face template is matched with face data of a certain member in the face data set, first information is obtained, wherein the first information comprises consumption habit and preference information of the member;
the avatar pushes a coupon to the member through voice and action.
Further, the pushing of the coupon to the member by the avatar through voice and action specifically includes:
providing a target coupon according to the first information;
storing the target coupon to the member's electronic coupon package;
the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and actions.
Further, still include:
receiving a coupon inquiry request instruction of the member;
providing matched coupons according to the coupon information of the merchants;
storing the matched coupon to the member's electronic coupon package;
the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and actions.
Further, still include:
after the face template is matched with a face data set preset in a member face library,
when the face template is not matched with all member face data in the face data set, sending a member joining request;
storing the human face into a member face library according to the response of the member joining request;
the avatar transmits the member joining information in voice and motion.
Further, still include:
when a human face is detected, acquiring material data of the virtual image;
rendering the material data;
triggering the virtual image, and displaying the virtual image on a screen.
Further, still include:
acquiring state change information of the virtual image in the process of pushing the coupon;
acquiring corresponding target material data according to the state change information;
rendering the target material data;
updating the avatar on the screen.
Further, the pre-trained face feature model is constructed by Eigenfaces algorithm or Fisherfaces algorithm.
A coupon push device, the device comprising:
a first acquisition module configured to acquire an image;
a face detection module configured to perform face detection on the acquired image;
the extraction module is configured to extract a characteristic value of a human face by using a pre-trained human face characteristic model when the human face is detected to obtain a human face template;
the face matching module is configured to match the face template with a face data set preset in a member face library;
a second obtaining module configured to obtain first information when the face template matches face data of a member in the face data set, the first information including consumption habit and preference information of the member;
a push module configured to push a coupon to the member by the avatar through voice and action.
A readable storage medium storing a program which, when executed by a processor, causes the processor to perform the steps of the coupon push method.
An intelligent terminal comprising a memory and a processor, the memory storing a program that, when executed by the processor, causes the processor to perform the steps of the coupon push method.
The invention has the beneficial effects that:
according to the method, the device, the storage medium and the intelligent terminal for pushing the coupons, people passing through the screen are subjected to real-time face detection through the camera, when the situation that people pass is detected, the virtual image is triggered, the virtual image sends the coupons in real time through voice and actions according to consumption habits and preferences of members and the valid period of the existing coupons and reminds the expiration of the coupons, and the virtual image can change different shapes or make corresponding actions and expressions in the process of pushing the coupons according to the types of the pushed coupons to attract the attention of users and increase the interestingness of a coupon pushing link. A method for obtaining coupons without logging into an electronic service platform is provided. The method has the advantages that the pushing audience of the coupons is increased, the individual coupons of each user can be pushed accurately, interactivity and interestingness in the process of pushing the coupons are increased, member experience is improved, and the verification and marketing rate of the coupons is increased.
The features and advantages of the present invention will be described in detail by embodiments in conjunction with the accompanying drawings.
Drawings
FIG. 1 is a schematic illustration of an avatar of an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a coupon pushing method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of the embodiment of the present invention in which an avatar pushes a coupon to a member through voice and action;
FIG. 4 is a flowchart illustrating the steps of receiving a coupon query request instruction from the member according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of registration of a newly-entered member in the embodiment of the present invention;
FIG. 6 is a schematic flow chart of triggering an avatar in an embodiment of the present invention;
FIG. 7 is a flowchart illustrating the status update of the avatar during the coupon pushing process according to an embodiment of the present invention;
FIG. 8 is a block diagram showing the structure of a coupon pushing apparatus according to an embodiment of the present invention;
fig. 9 is a block diagram of the intelligent terminal device in the embodiment of the present invention.
Detailed Description
The screen terminal can be a group of spliced screens of LCD or LED screens, and is generally placed in places where people flow in shopping centers, such as an atrium and the like. The screen terminal and the server are connected through a network. One or more cameras are arranged on the screen terminal and used for acquiring images. The acquired image is used for carrying out real-time face detection, and when a face is detected, material data of a virtual image is acquired from a local or server; the avatar is then displayed at the screen terminal. As shown in fig. 1, the avatar may be the avatar of one or more cartoon characters. The virtual image interacts with the customer according to the result of the face recognition, and the virtual image can make different body actions and send out different voice prompts. For example, the avatar can issue coupons and remind the coupon expiration in real time based on the consumption habits and preferences of the existing member and the expiration date of the coupon he has. The issuing and reminding of the coupons are completed through voice and screen terminal display. The server can be one or more of a WEB server, a database server, an application server and an SDK server, and can be implemented by an independent server or a server cluster formed by a plurality of servers.
As shown in fig. 2, in one embodiment, a coupon push method is provided. Referring to fig. 2, the coupon push method specifically includes the following steps:
step S201 acquires an image.
The mode of acquiring the image is through one or more cameras, and the one or more cameras are integrated around a screen of the terminal and used for recording image information right opposite to the screen.
In this embodiment, the terminal directly transmits the acquired video signal to a face detection and recognition server, the face detection and recognition server is configured to perform face detection and face recognition on the acquired image, and the face detection and recognition server may be one or more SDK servers.
In other embodiments, the terminal transcodes and stores the acquired video signal to a local hard disk.
In other embodiments, the terminal transcodes and transmits the acquired video signal to the video streaming server.
Step S202 performs face detection on the acquired image.
The purpose of face detection is to search images or video frames using a face detection algorithm to determine whether a face is present in the images or video frames for any given image or video frame, because the images or video frames may contain objects that are not faces, such as landscapes, buildings, and other parts of a person (e.g., legs, shoulders, and arms). Face detection algorithms usually start with searching for human eyes, which constitute the so-called valley region, one of the most easily detected features. Once the eyes are detected, the algorithm attempts to detect facial regions, including eyebrows, mouth, nose, nostrils, and irises, and once the face algorithm infers that a facial region is detected, additional tests may be applied to verify that a face is indeed detected.
In this embodiment, the terminal detects a video frame acquired by the camera through a built-in face detection algorithm, and if a face exists in the frame, the terminal sends a virtual image triggering request to the server, the built-in face detection algorithm can be implemented by using a classifier provided by an OpenCV, and the OpenCV is an open-source cross-platform computer vision library and can be operated on operating systems such as Linux, Windows, Android and the like. Can be used for image processing and computer vision application development.
In other embodiments, the avatar is displayed on the screen all the time after power is applied to the screen.
In other embodiments, the terminal uploads the acquired image data to a face detection and recognition server, which may include one or more SDK servers, and sends a face detection request. The face detection and recognition server responds to the face detection request and detects video frames or images acquired by the camera and uploaded to the server through a face detection algorithm built in the server.
In other embodiments, the terminal may output the position, size and posture of the face on the electronic screen and send a trigger virtual object request to the server after detecting the face. In the practical application of the coupon pushing method, the face of the customer who is carrying out face detection is displayed on the electronic screen, so that the customer can be aware that a series of next service objects are the customer, the customer can attract the attention of the customer in combination with the appearance of the next virtual image, the coupon pushing is more targeted, the whole face recognition and coupon pushing process can be smoothly carried out, the scenes that the customer leaves halfway are reduced, the better interaction effect is achieved, the verification and sale rate of the coupon is increased, and the coupon pushing is more efficient.
In other embodiments, Histogram of Oriented Gradients (HOG) may be used to detect face locations. The picture is grayed first and then the gradient of the pixels in the image is calculated. By converting the image into HOG form, the face position can be detected and obtained.
And step S203, when the human face is detected, extracting the characteristic value of the human face by using a human face characteristic model trained in advance to obtain a human face template.
The pre-trained face feature model can be constructed by Eigenfaces algorithm or Fisherfaces algorithm and other algorithms. For example, the Eigenfaces algorithm projects an original face image to a feature space to obtain a set of images (also called feature vectors). A group of images form a characteristic face subspace which is a face template. Any face image (minus the average face) can be projected into this subspace to obtain a weight vector. And calculating the Euclidean distance between the vector and the weight vector of each person in the face library, so as to determine the identity of the face image to be detected.
In this embodiment, the face detection and recognition server extracts feature values of a detected face through a pre-trained face feature model built in the server to obtain a face template.
In other embodiments, the terminal extracts feature values of the detected face through a pre-trained face feature model built in the terminal to obtain a face template. The pre-trained face feature model can be obtained by calling a Facerecognizer type self-contained face recognition algorithm in OpenCV. The facerecognizers comprise Eigenfaces algorithm and Fisherfaces algorithm and provide a universal interface for face recognition algorithm.
Step S204, the face template is matched with a face data set preset in a member face library to determine the authority of the face.
The member face library is a database for storing a plurality of facial photos of all members, wherein all the photos are facial photos taken when the members are registered, and the photos are taken under different conditions and comprise facial information under different expressions and different illumination conditions. If a person is not registered as a member, the face photos of the person will not appear in the face library.
In this embodiment, the face recognition system automatically compares the input face template with the face data sets of all members in the face library, and determines whether the detected face customer is a registered member. Specifically, whether the collected face customer is a registered member or not can be determined by calculating the euclidean distance between the weight of the feature vector of the input face template and the weight of the feature vectors of all members in the member face library.
In other embodiments, the face recognition system automatically compares the face template with the face data sets of all members in the face database one by one, and the system sets a threshold as a criterion for determining whether the input face is the same as the face in the database, wherein the threshold is measured by a score or a percentage, and the threshold is used for determining whether the input face and the face in the database belong to the same subject. When the similarity value of the face comparison is larger than the threshold value, the person is judged to be the same person, and if the similarity is smaller than the threshold value, the person is judged not to be the same person. And if all comparison results are smaller than the threshold value, determining that the main body of the input face is not a member.
Step S205 is executed to acquire first information when the face template matches with face data of a member in the face data set, where the first information includes consumption habits and preference information of the member.
The face recognition system automatically acquires a comparison result of the acquired face and the face of a member in the face library, and acquires first information of the member when the acquired face and the face of the member logged in the face library are the same. The coupon information and the consumption habit, taste information are stored in a database server.
In this embodiment, the terminal transmits a first information query request about the member to the coupon database server with the member ID, and the coupon database server responds to the request and returns the coupon information and consumption habit and preference information of the member stored in the database with the member. And transmitting the first information stored in the coupon server to the terminal.
In other embodiments, the terminal stores first information of the member by using the member ID as a database, wherein the first information includes member coupon information, consumption habit and preference information of the member, and the like, and the member coupon information is coupon information already existing for the member. The consumption habit and preference information includes usage record information of each consumption ticket. These status information are all recorded in the background.
Step S206, the virtual image pushes the coupon to the member through voice and action.
In this embodiment, the avatar is displayed on the screen all the time after the power is applied to the screen.
In other embodiments, the terminal displays the obtained coupon on a screen, and meanwhile, an avatar on the screen pushes the coupon in voice and actions.
In other embodiments, the avatar calls the member's name in the form of voice, attracts the member's attention, and actively displays coupon pictures or coupon list information to be pushed to the member on a screen, and transmits the coupons to the member's electronic coupon package in the form of electronic coupons.
In other embodiments, the avatar calls the member's name with voice, and then displays different body movements on the screen to attract the member's attention, such as dancing while calling the member's name, delivering a gift while pushing a coupon, and displaying the pushed coupon on the screen in the form of picture to remind the member, and sending the coupon to the member's e-coupon package in the form of e-coupon.
In other embodiments, the avatar pushes coupons and displays the images of the coupons on the screen, and the member makes a selection of the pushed coupons by voice or by action, the selection including rejecting all coupons, accepting a portion of coupons, accepting all coupons. After selection, the selected coupon is transmitted to the member's electronic coupon package in the form of an electronic coupon. When the member accepts all coupons or accepts a portion of coupons, the avatar makes a happy, positive expression and corresponding action. When the member rejects all coupons, the avatar makes a depressed, missing expression and corresponding action. In the whole process of pushing the coupons, a series of actions and voice of the virtual images can play roles of attracting the attention of members, increasing the coupon verification and sale rate and improving the interestingness of the coupon pushing process.
In an embodiment, as shown in fig. 3, the step of pushing the coupon to the member by the avatar through voice and action may specifically be:
step S310, providing a target coupon according to the first information;
in this embodiment, the system classifies the member consumption and preference information in the acquired first information according to the existing consumption record, and automatically pushes the relevant coupon to the member. The member consumption preference information can be consumption coupon use records of the member, and the consumption coupon use records can be divided into different categories according to clothes, food, residence and rows and then divided into different categories. For example, when the system acquires that the member has a large number of hot pot consumption coupon use records, the system automatically pushes the hot pot related coupons to the member. The method and the system have the advantages that the coupons are more accurate in the pushing process, the behavior of pushing massive coupons for members is avoided, and the verification and marketing rate of the coupons is increased.
In other embodiments, the system classifies the member consumption preference information in the acquired first information according to the existing consumption records, and selectively pushes the coupons with large weights in the classification according to the weights of the coupons in the classification. For example, if the member has a large number of usage records of the catering coupons and a very small number of usage records of the daily use consumption coupons, the system automatically pushes a certain number of the catering coupons to the member. The method and the system have the advantages that the coupons are more accurate in the pushing process, the behavior of pushing massive coupons for members is avoided, and the verification and marketing rate of the coupons is increased.
In other embodiments, the first information further includes existing coupon information of the member, that is, coupon information stored in the member electronic member coupon package, the system acquires the existing coupon information in the first information, and the avatar reminds the member of the coupon which is about to expire and the expiration date of the coupon by voice. For example, the member has 5 coupons for mcdonald's will expire tomorrow. The avatar informs the member of the kind of consumption ticket about coming due and the specific due time of the consumption ticket in the form of voice and motion.
In other embodiments, the first information further includes existing coupon information of the member, that is, coupon information stored in the member electronic member coupon package, the system sorts the acquired existing coupon information in the first information according to expiration time, and the avatar reminds the member of the first expired consumption coupon or coupons and specific expiration date of the consumption coupon by voice and action. The member can obtain more accurate coupon information which is about to expire soon, so that the user experience is better in the process of obtaining the coupon information owned by the member, and the verification and sale rate of the coupon is increased.
In other embodiments, if the member is a new member and the consumption habit and preference information of the member or the existing coupon information is not stored in the database, the system automatically pushes a preset coupon to the member. The predetermined coupon may be all or a portion of the coupons recently issued by the various merchants in the marketplace.
Step S320 of storing the target coupon to the member' S electronic coupon package;
and step S330, the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and action.
In the embodiment, the virtual image pushes the coupons or reminds the expiration time of the coupons in the form of voice and actions, and displays the coupons on the terminal screen in the form of images. The coupon is pushed to the member in a virtual image voice and action mode, the interactivity and the interestingness in the process of pushing the coupon are improved, the user experience is improved, and the verification and marketing rate of the coupon is increased.
In one embodiment, as shown in fig. 4, the coupon pushing method further includes:
step S410, receiving a coupon inquiry request instruction of the member;
in this embodiment, if the member wants to know that a specific discount activity held in a certain mall recently can directly inquire the avatar on the terminal, the terminal will accept the voice inquiry of the member, convert the voice inquiry into a coupon inquiry request, and request the database or local cache for the coupon information recently released by the merchant and uploaded to the database. For example, a member may trigger the issuance of a coupon via voice interaction, the member asks the avatar what hot pot offers are available today, and the avatar provides a relevant matching coupon based on the merchant's coupon content.
Step S420, providing a matched coupon according to the coupon information of the merchant;
in this embodiment, after coupon information that is recently pushed out by the relevant merchant and uploaded to the database is acquired, the coupon is pushed to the member.
In other embodiments, after acquiring coupon information which is recently pushed by a related merchant and uploaded to a database or a local cache, the terminal pushes all the coupons to the member, and the member selects a part of the coupons required by the member on a pushing interface of a screen.
Step S430, storing the matched coupon to the member' S electronic coupon package;
step S440, the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and action.
In the embodiment, the virtual image pushes the coupons in the form of voice and motion, and displays the coupons on the terminal screen in the form of images. The virtual image reminds the members of the coupon which is about to expire and the expiration date and the issuing condition of the coupon by voice. The interactivity and the interestingness of the coupon are improved when the coupon is pushed, the member experience is improved, and the verification and marketing rate of the coupon is increased.
In one embodiment, as shown in fig. 5, the coupon pushing method further includes:
after the face template is matched with a face data set preset in a member face library,
step S510, when the face template is not matched with all member face data in the face data set, a member joining request is sent;
in this embodiment, if the face template acquired by the face detection is not matched with all the face data sets in the face library, it is determined that the person is not a member. The avatar sends a join member request to the person in the form of voice and motion, enabling the person to join a member.
Step S520, receiving a request response of joining a member, and storing the human face in a member face library;
the avatar transmits the member joining information in voice and motion at step S530.
In the embodiment, users who are not members are registered as members and log in the member face library, and the users are informed of the operation through voice and actions, so that the audience of the coupons is increased, accurate increase of pushing of each user individual and the coupons is achieved, interactivity and interestingness when the coupons are pushed are increased, member experience is improved, and the verification and marketing rate of the coupons is increased.
In one embodiment, as shown in fig. 6, the coupon pushing method further includes:
step S610, when a human face is detected, acquiring material data of a virtual image;
step S620, rendering the material data;
step S630 triggers the avatar, which is displayed on the screen.
In this embodiment, when a face is detected, an avatar is triggered, which is displayed on the screen.
The virtual image can be one or more cartoon characters or one or more cartoon animal and plant images, and the virtual image is used for attracting customers and interacting with the customers so as to complete the whole coupon pushing process of a designated individual, namely a member, in the crowd. The interaction comprises: the method comprises the steps of pushing a coupon which is not used by a member to the member through voice, notifying the member of the valid period of the coupon which is not used by the member through voice, providing the member with a matched merchant coupon through voice and the action of an avatar according to consumption habit and preference information of the member, and the like.
In the present embodiment, when detecting the presence of a human face in a video image, the terminal transmits to the server a trigger avatar request, which is mainly for acquiring material data of an avatar stored in the server, the material data of the avatar being modeled according to a UI. The server transmits the material data of the virtual image to the terminal, and a series of actions and voice of the virtual image are displayed on a terminal screen through rendering of terminal software.
In other embodiments, when the human face is detected to exist in the video image, the human face detection and recognition server sends a request for triggering the virtual image to the server, the server transmits the material data of the virtual image to the terminal, and the terminal calls a rendering tool to render the material data of the virtual image, so as to obtain a series of actions of the displayable virtual image of the virtual image and display the actions on a screen of the terminal.
In other embodiments, when a human face exists in a video image, the terminal sends a request to the server through the HTTP protocol, the request is used to obtain material data of an avatar, the Web server responds to the request to transmit the corresponding material data of the avatar to the terminal, and the terminal invokes the rendering tool WebGL to render the material data of the avatar, so as to obtain a displayable avatar and display the displayable avatar on a built-in Web page or a separate browser (e.g., HTML5 Web page) of the client of the terminal screen. Among them, WebGL is a JavaScript API (Application Programming Interface) for presenting interactive 3D and 2D graphics in a Web browser without using a plug-in.
In one embodiment, as shown in fig. 7, the coupon pushing method further includes:
step S710, acquiring the state change information of the virtual image in the process of pushing the coupon;
for example, if the coupon pushing process needs to push the coupon related to the hot pot, the state of the avatar changes and becomes the image of eating the hot pot, and the terminal sends an avatar state change message in advance.
Step S720, acquiring corresponding target material data according to the state change information;
step S730, rendering the target material data;
step S740 updates the avatar on the screen.
In this embodiment, when different types of coupons are pushed, the state of the avatar may change, and the screen terminal may acquire corresponding target material data stored in the server or the local storage. Through the rendering of the terminal software, the state of the virtual image can be changed, better interactive experience and interestingness are brought to the coupon pushing process, member experience is improved, and the verification and sale rate of the coupon is increased.
As shown in fig. 8, in one embodiment, there is provided a coupon pushing device, including:
a first acquisition module 810 configured to acquire an image;
a face detection module 820 configured to perform face detection on the acquired image;
an extraction module 830, configured to, when a human face is detected, extract feature values of the human face by using a pre-trained human face feature model to obtain a human face template;
a face matching module 840 configured to perform face matching on the face template and a face data set preset in a member face library;
a second obtaining module 850, configured to obtain first information when the face template matches with face data of a member in the face data set, where the first information includes existing coupon information of the member and consumption habit preference information of the member;
a push module 860 configured to push the coupon to the member by voice and action by the avatar.
Fig. 9 shows an internal structural diagram of the intelligent terminal in the embodiment of the present invention. As shown in fig. 9, the intelligent terminal device includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the intelligent terminal stores an operating system and also stores a program, and when the program is executed by the processor, the program can enable the processor to realize a coupon pushing method. The internal memory may also have stored therein a program that, when executed by the processor, causes the processor to perform a coupon delivery method.
Those skilled in the art will appreciate that the configuration shown in fig. 9 is a block diagram of only a portion of the configuration associated with the present application, and does not constitute a limitation on the smart terminal to which the present application is applied, and a particular smart terminal may include more or less components than those shown in the drawings, or may combine certain components, or have a different arrangement of components.
In this embodiment, the coupon pushing apparatus provided by the present application may be implemented in the form of a program, and the program may be executed on an intelligent terminal device as shown in fig. 9. The memory of the intelligent terminal may store various program modules constituting the coupon pushing apparatus, such as the first obtaining module 810, the face detection module 820, the extraction module 830, the face matching module 840, the second obtaining module 850, and the pushing module 860 shown in fig. 8. The program modules constitute a program which causes the processor to execute the steps in the coupon pushing method of the embodiments of the present application described in the specification.
For example, the intelligent terminal shown in fig. 9 may execute S201 through the first obtaining module 810 in the coupon pushing device shown in fig. 8. The smart terminal may perform S202 through the face detection module 820. The smart terminal may perform S203 through the extraction module 830. The intelligent terminal may perform S204 through the face matching module 840. The smart terminal may perform S205 through the second obtaining module 850. The intelligent terminal may perform S206 through the push module 860.
In other embodiments, an intelligent terminal is provided, which includes a memory and a processor, wherein the memory stores a program, and the program, when executed by the processor, causes the processor to execute the steps of the coupon pushing method. Here, the steps of a coupon push method may be steps in a coupon push method according to the above embodiments.
In other embodiments, a readable storage medium is provided, which stores a program that, when executed by a processor, causes the processor to perform the steps of the above-described interactive task execution method. The steps of a coupon push method herein may be the steps in the coupon push methods of the various embodiments described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by controlling the related hardware, and the described programs can be stored in a non-volatile computer readable storage medium, and when executed, the programs can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The above embodiments are illustrative of the present invention, and are not intended to limit the present invention, and any simple modifications of the present invention are within the scope of the present invention.
Claims (10)
1. A coupon pushing method is characterized by comprising the following steps:
acquiring an image;
carrying out face detection on the image;
when a face is detected, extracting a characteristic value of the face by using a pre-trained face characteristic model to obtain a face template;
carrying out face matching on the face template and a face data set preset in a member face library;
when the face template is matched with face data of a certain member in the face data set, first information is obtained, wherein the first information comprises consumption habit and preference information of the member;
the avatar pushes a coupon to the member through voice and action.
2. The method for pushing the coupon according to claim 1, wherein the pushing of the coupon to the member by the avatar through voice and action specifically comprises:
providing a target coupon according to the first information;
storing the target coupon to the member's electronic coupon package;
the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and actions.
3. The coupon pushing method of claim 1, further comprising:
receiving a coupon inquiry request instruction of the member;
providing matched coupons according to the coupon information of the merchants;
storing the matched coupon to the member's electronic coupon package;
the virtual image reminds the coupon expiration time and the coupon issuing condition through voice and actions.
4. The coupon pushing method of claim 1, further comprising:
after the face template is matched with a face data set preset in a member face library,
when the face template is not matched with all member face data in the face data set, sending a member joining request;
storing the human face into a member face library according to the response of the member joining request;
the avatar transmits the member joining information in voice and motion.
5. The coupon pushing method of claim 1, further comprising:
when a human face is detected, acquiring material data of the virtual image;
rendering the material data;
triggering the virtual image, and displaying the virtual image on a screen.
6. The coupon pushing method of claim 1, further comprising:
acquiring state change information of the virtual image in the process of pushing the coupon;
acquiring corresponding target material data according to the state change information;
rendering the target material data;
updating the avatar on the screen.
7. The method for pushing coupons as claimed in claim 1, wherein said pre-trained face feature model is constructed by Eigenfaces algorithm or Fisherfaces algorithm.
8. A coupon pusher apparatus, comprising:
a first acquisition module configured to acquire an image;
a face detection module configured to perform face detection on the acquired image;
the extraction module is configured to extract feature values of a human face by using a pre-trained human face feature model when the human face is detected to obtain a human face template;
the face matching module is configured to match the face template with a face data set preset in a member face library;
a second obtaining module configured to obtain first information when the face template matches face data of a member in the face data set, the first information including consumption habit and preference information of the member;
a push module configured to push a coupon to the member in an avatar through voice and action.
9. A readable storage medium storing a program which, when executed by a processor, causes the processor to perform the steps of the method according to any one of claims 1 to 7.
10. An intelligent terminal comprising a memory and a processor, the memory storing a program that, when executed by the processor, causes the processor to perform the steps of the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010693154.9A CN111738777A (en) | 2020-07-17 | 2020-07-17 | Coupon pushing method and device, storage medium and intelligent terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010693154.9A CN111738777A (en) | 2020-07-17 | 2020-07-17 | Coupon pushing method and device, storage medium and intelligent terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111738777A true CN111738777A (en) | 2020-10-02 |
Family
ID=72654971
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010693154.9A Pending CN111738777A (en) | 2020-07-17 | 2020-07-17 | Coupon pushing method and device, storage medium and intelligent terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111738777A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113689256A (en) * | 2021-08-06 | 2021-11-23 | 江苏农牧人电子商务股份有限公司 | Virtual article pushing method and system |
| CN114004662A (en) * | 2021-12-31 | 2022-02-01 | 浙江口碑网络技术有限公司 | Resource verification and cancellation method and device, storage medium and computing equipment |
| CN114240444A (en) * | 2021-12-17 | 2022-03-25 | 支付宝(杭州)信息技术有限公司 | Face brushing payment method and device and face brushing payment equipment |
| CN114900305A (en) * | 2022-02-23 | 2022-08-12 | 杭州脸脸会网络技术有限公司 | Block chain-based data processing method and device, electronic device and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104575339A (en) * | 2014-07-21 | 2015-04-29 | 北京智膜科技有限公司 | Media information pushing method based on face detection interface |
| CN106384237A (en) * | 2016-08-31 | 2017-02-08 | 北京志光伯元科技有限公司 | Member authentication-management method, device and system based on face identification |
| CN109859011A (en) * | 2019-01-31 | 2019-06-07 | 傲宝珠宝文化发展(深圳)有限公司 | Based on the information push method in store, system and its storage medium in jewellery wire |
| CN110264234A (en) * | 2019-05-06 | 2019-09-20 | 北京三快在线科技有限公司 | Distribution method, device, intelligent television equipment and the storage medium of discount coupon |
| CN110287363A (en) * | 2019-05-22 | 2019-09-27 | 深圳壹账通智能科技有限公司 | Resource supplying method, apparatus, equipment and storage medium based on deep learning |
| CN111291087A (en) * | 2020-01-16 | 2020-06-16 | 广州康行信息技术有限公司 | Information pushing method and device based on face detection |
-
2020
- 2020-07-17 CN CN202010693154.9A patent/CN111738777A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104575339A (en) * | 2014-07-21 | 2015-04-29 | 北京智膜科技有限公司 | Media information pushing method based on face detection interface |
| CN106384237A (en) * | 2016-08-31 | 2017-02-08 | 北京志光伯元科技有限公司 | Member authentication-management method, device and system based on face identification |
| CN109859011A (en) * | 2019-01-31 | 2019-06-07 | 傲宝珠宝文化发展(深圳)有限公司 | Based on the information push method in store, system and its storage medium in jewellery wire |
| CN110264234A (en) * | 2019-05-06 | 2019-09-20 | 北京三快在线科技有限公司 | Distribution method, device, intelligent television equipment and the storage medium of discount coupon |
| CN110287363A (en) * | 2019-05-22 | 2019-09-27 | 深圳壹账通智能科技有限公司 | Resource supplying method, apparatus, equipment and storage medium based on deep learning |
| CN111291087A (en) * | 2020-01-16 | 2020-06-16 | 广州康行信息技术有限公司 | Information pushing method and device based on face detection |
Non-Patent Citations (1)
| Title |
|---|
| 张超: "《制度嵌入性视角下的旅游消费行为研究》", 30 September 2014 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113689256A (en) * | 2021-08-06 | 2021-11-23 | 江苏农牧人电子商务股份有限公司 | Virtual article pushing method and system |
| CN114240444A (en) * | 2021-12-17 | 2022-03-25 | 支付宝(杭州)信息技术有限公司 | Face brushing payment method and device and face brushing payment equipment |
| CN114004662A (en) * | 2021-12-31 | 2022-02-01 | 浙江口碑网络技术有限公司 | Resource verification and cancellation method and device, storage medium and computing equipment |
| CN114900305A (en) * | 2022-02-23 | 2022-08-12 | 杭州脸脸会网络技术有限公司 | Block chain-based data processing method and device, electronic device and storage medium |
| CN114900305B (en) * | 2022-02-23 | 2024-03-19 | 杭州脸脸会网络技术有限公司 | Block chain-based data processing method and device, electronic device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111738777A (en) | Coupon pushing method and device, storage medium and intelligent terminal | |
| JP4165095B2 (en) | Information providing apparatus and information providing method | |
| US11238655B2 (en) | Offline shopping guide method and apparatus | |
| JP6267861B2 (en) | Usage measurement techniques and systems for interactive advertising | |
| US9123061B2 (en) | System and method for personalized dynamic web content based on photographic data | |
| JP5190560B2 (en) | Content output apparatus, content output method, content output program, and recording medium on which content output program is recorded | |
| JP5224360B2 (en) | Electronic advertising device, electronic advertising method and program | |
| CN106713255B (en) | User information management method and system | |
| CN108475381A (en) | The method and apparatus of performance for media content directly predicted | |
| WO2018121541A1 (en) | User attribute extraction method and apparatus, and electronic device | |
| CN108197519A (en) | Method and apparatus based on two-dimensional code scanning triggering man face image acquiring | |
| KR101905501B1 (en) | Method and apparatus of recommending contents | |
| JP6498900B2 (en) | Advertisement evaluation system, advertisement evaluation method | |
| CN111311315A (en) | Video processing method and device, electronic equipment and storage medium | |
| CN113887884A (en) | Business-super service system | |
| US12033190B2 (en) | System and method for content recognition and data categorization | |
| KR102335918B1 (en) | Digital signage to sell fashion goods using big data and artificial intelligence algorithm | |
| CN109074498A (en) | Visitor's tracking and system for the region POS | |
| WO2019192455A1 (en) | Store system, article matching method and apparatus, and electronic device | |
| TWI554965B (en) | Advertising apparatus and advertising method with identity recognition function | |
| KR20220019750A (en) | Method for recommending contents style based on performance using artificial intelligence | |
| WO2015118061A1 (en) | Method and system for displaying content to a user | |
| CN108573056B (en) | Content data processing method and device, electronic equipment and storage medium | |
| US20190370865A1 (en) | Method and device of appealing to customer smartly | |
| JP2021176061A (en) | Signage control system and signage control program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201002 |