CN111311355A - Method and module for pushing by applying identity recognition and AR pushing system - Google Patents
Method and module for pushing by applying identity recognition and AR pushing system Download PDFInfo
- Publication number
- CN111311355A CN111311355A CN202010064570.2A CN202010064570A CN111311355A CN 111311355 A CN111311355 A CN 111311355A CN 202010064570 A CN202010064570 A CN 202010064570A CN 111311355 A CN111311355 A CN 111311355A
- Authority
- CN
- China
- Prior art keywords
- information
- target object
- pushing
- target
- face
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- 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
-
- 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
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- 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
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
Abstract
The invention provides a method for pushing by applying identity recognition, which comprises the following steps: when a target object is detected, acquiring face information and posture information of the target object; extracting the face information and the posture information of the target object to obtain the basic characteristic information of the target object; and pushing the corresponding resources according to the basic characteristic information of the target object. The method and the device for pushing the advertisement push resources have the advantages of being strong in purpose and high in conversion rate, corresponding most suitable contents can be given according to different experience crowds, meanwhile, the contents can be updated rapidly and invisibly, the viscosity of the contents of a large screen is increased, and further the conversion rate of the advertisement is increased to generate actual benefits.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an information push method, an information push module, and an AR push system.
Background
Identification is generally a technique of analyzing an input image of a human face or a video stream based on facial features of a person. The current pushing method only analyzes the input face image or video stream, and cannot make customized recommendation for each client. Therefore, if the corresponding most suitable content cannot be given according to different experience groups. Only the face information is acquired, and the shoes with the optimal quality are recommended to the people with leg diseases, so that adverse effects are caused to the mind of the client, the image of an enterprise is influenced, the advertisement investment is wasted, and the development of the enterprise is not facilitated. In addition, the facial features of people can often wear some ornaments, and if the face information is used for identification, the difficulty of identification is higher, and the reliability of the pushed information can be further reduced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to recommend more targeted content to the customer.
In order to solve the above technical problem, a first aspect of the present invention provides a method for pushing by using identity recognition, where the method includes:
s100, when a target object is detected, acquiring face information and posture information of the target object;
s200, extracting the face information and the posture information of the target object to obtain the basic characteristic information of the target object;
and step S300, pushing corresponding resources according to the basic characteristic information of the target object.
Further, step S100, before the step of acquiring the face information and the posture information of the target object when the target object is detected, the method further includes the following steps:
step S010, face information and posture information of the potential target set are obtained;
s020, obtaining target set category information according to the face information and the posture information of the potential target set; and preparing resources to be pushed corresponding to the target set category according to the target set category information.
Optionally, in step S200, in the step of performing feature extraction on the face information and the posture information of the target object to obtain basic feature information of the target object, the method includes:
step S210, connecting a face recognition module of a third party;
and step S220, obtaining age range information of the target object through a face recognition module of the third party according to the face information of the target object.
Preferably, the step of acquiring the face information of the target object and extracting the posture information of the target object when the target object is detected specifically includes:
step S230, establishing a deep learning module for extracting the characteristics of the target object;
step S240, obtaining gender information of the target object through the deep learning module for extracting the features of the target object according to the face information of the target object and the posture information of the target object.
The step S300 of pushing resources according to the basic feature information of the target object specifically includes:
step S310, comparing the face information and the posture information of the target object with the potential target set category information to determine the specific categories of the face information and the posture information of the target object in the target set category information;
step S320, pushing the resource of the corresponding target collection category according to the specific category in the target collection category information.
Preferably, in the step S320 of obtaining the push resource corresponding to the target collection category according to the target collection category information, the method specifically includes:
step S321, analyzing the potential target set category information and formulating a classification configuration table;
step S322, according to the classification configuration table, calling the remote push resources and/or the local push resources corresponding to the target set category.
The second aspect of the present invention provides a module for pushing by using identity recognition, including: the device comprises a target object acquisition unit, a feature extraction unit and a push display unit;
the target object acquisition unit is used for acquiring the face information and the posture information of the target object when the target object is detected;
the feature analysis unit is used for extracting features of the face information and the posture information of the target object to acquire basic feature information of the target object;
and the push display unit is used for sending out push resources according to the basic characteristic information of the target object.
Furthermore, the module for pushing by applying identity recognition also comprises a resource storage unit for storing remote pushing resources and/or local pushing resources.
The invention provides an AR push system, which uses an AR interactive screen to bear the modules.
Further, the AR push system uses a 5G network to transmit information.
The invention has the beneficial effects that: the face information and the posture information of the target object are extracted, so that specific and comprehensive information is obtained, and the accuracy of target object analysis is guaranteed. Then, the feature extraction is carried out on the face information and the posture information of the target object, two information identification dimensions are changed into a set of two arrays, calculation is carried out according to the two arrays, comparison and identification of a computer are facilitated, the calculation accuracy is greatly improved, occupied resources are reduced, and the whole pushing efficiency is better. And sending out the push resources according to the basic characteristic information of the target object. The method can send out more interesting information aiming at specific customers, increase the viscosity of the content of the large screen, and further increase the conversion rate of the advertisement to generate actual benefits.
In summary, the content pushed by the method is equivalent to converting scattered consumers into a mode similar to an organization market and then analyzing the mode. Therefore, the purposiveness is stronger, the information collection of consumers is more accurate, the conversion rate is more excellent, and wrong consumer analysis such as pushing of a stove for children, pushing of lipstick for men and pushing of a model for women are avoided. The reasonable use of public resources is ensured, and the possibility that the enterprise image is influenced is reduced. Moreover, the facial features of people are often decorated by some ornaments, if the facial features are identified by the face information alone, the identification difficulty is higher, and if the body type is taken into consideration, the purpose of pushing content is stronger, and the conversion rate is better.
Drawings
The detailed structure of the invention is described in detail below with reference to the accompanying drawings
Fig. 1 is a flowchart of a first embodiment of a method for pushing by using identity recognition according to the present invention;
FIG. 2 is a flowchart of a second embodiment of a method for pushing resources by applying identity recognition to prepare a potential target set category according to the present invention;
FIG. 3 is a flowchart illustrating a method for pushing a resource to be pushed according to a third embodiment of the present invention;
FIG. 4 is a flowchart illustrating a fourth embodiment of a method for pushing by applying identity recognition according to the present invention to prepare a resource to be pushed;
FIG. 5 is a flowchart illustrating a resource pushing step according to basic feature information of a target object according to a fifth embodiment of the method for pushing by using identity recognition of the present invention;
fig. 6 is a structural diagram of a module for pushing by applying identity recognition according to the present invention.
Detailed Description
In order to explain technical contents, structural features, and objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for pushing by using identity recognition according to a first embodiment of the present invention. In fig. 1, the present application is a method for pushing by using identity recognition, including the following steps:
s100, when a target object is detected, acquiring face information and posture information of the target object;
s200, extracting the face information and the posture information of the target object to obtain the basic characteristic information of the target object;
and step S300, pushing corresponding resources according to the basic characteristic information of the target object.
The most basic beneficial effects of the invention are as follows: the face information and the posture information of the target object are extracted, so that specific and comprehensive information is obtained, and the accuracy of target object analysis is guaranteed. Then, the feature extraction is carried out on the face information and the posture information of the target object, two information identification dimensions are changed into a set of two arrays, calculation is carried out according to the two arrays, comparison and identification of a computer are facilitated, the calculation accuracy is greatly improved, occupied resources are reduced, and the whole pushing efficiency is better. And sending out the push resources according to the basic characteristic information of the target object. The method can send out more interesting information aiming at specific customers, increase the viscosity of the content of the large screen, and further increase the conversion rate of the advertisement to generate actual benefits.
Referring to fig. 2, fig. 2 is a flowchart illustrating a second embodiment of a method for pushing resources by applying identity recognition to prepare a potential target set category according to the present invention.
In fig. 2, before the step of acquiring the face information and the posture information of the target object when the target object is detected in step S100, the following steps are further included:
and step S010, face information and posture information of the potential target set are obtained.
S020, obtaining target set category information according to the face information and the posture information of the potential target set; and preparing resources to be pushed corresponding to the target set category according to the target set category information.
In step S010, face information and posture information of the potential target set are obtained. It will be appreciated that the set of potential targets may be obtained by means of big data mining, questionnaires, or other surveys. The potential targets are known from prior investigations and may occur in the context of the application of the method to individuals or groups with common traits, such as individuals, social groups, non-business organizations, etc., that may be attracted to the pushed content.
It should be understood that, in the present invention, collective face information mainly refers to the same face information of each member in the collective. Specifically, when some members of a company wear hats provided with the company's logo, the hats belong to collective facial information. Based on the same reason, the collective posture information mainly refers to the same posture information of each member in the collective. Specifically, when a large number of students in a certain school wear school uniforms of the school at the same time and appear in a certain occasion, the school uniforms of the school belong to the posture characteristic information. The set of potential targets refers to data representing a majority of the community of potential targets.
In step S020, obtaining target set category information according to the face information and the posture information of the potential target set; and preparing resources to be pushed corresponding to the target set category according to the target set category information.
In this embodiment, the set of potential targets are individuals or groups having a common trait as described above. The facial information of the potential target set comprises facial information of five sense organs and decorations capable of judging identity, and the posture information of the target set comprises the body state, posture and clothes capable of judging identity of the target object. And classifying the classification characteristics according to the information to obtain target set classification information which is more suitable for identifying the identity of the target object.
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for pushing resources to be pushed according to a third embodiment of the present invention.
Step S200, performing feature extraction on the face information and the posture information of the target object to obtain basic feature information of the target object, includes:
step S210, connecting a face recognition module of a third party;
and step S220, obtaining age range information of the target object through a face recognition module of a third party according to the face information of the target object.
Specifically, in step S210, the face recognition module of the third party may be one or a combination of Azure, Baidu cloud, Ariyun cloud, and science-university flying cloud.
Further, in step S220, the age range information of the target object is obtained through a face recognition module of a third party according to the face information of the target object, and optionally, the planning staff performs division, so as to obtain the age range information of the target object.
Optionally, in this embodiment, the planner divides the obtained ages of all the users to obtain a plurality of different age ranges. Therefore, data pushing is carried out on different age groups, wherein the age groups can be divided into different spans according to different application scenes. For example, every 10 years is an age group, or every 3 years is an age group, so that users belonging to the same age range push the same or similar data, while users not belonging to the same age group push different data. The data which accords with the preference of the user is pushed to the user according to the age of the user, so that the user can receive the pushed data more easily, and the data pushing effect is achieved.
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for pushing resources to be pushed according to a fourth embodiment of the present invention by using identification.
Preferably, in step S200, when the target object is detected, the step of acquiring the face information of the target object and extracting the posture information of the target object specifically includes:
and step S230, establishing a deep learning module for extracting the target object characteristics.
Step S240, obtaining gender information of the target object through the deep learning module extracting features of the target object according to the face information of the target object and the posture information of the target object.
In step S230, a deep learning module for extracting the features of the target object is established. Specifically, through a large number of models, the deep learning module for ensuring the characteristics of the target object has higher recognition capability, so that the overall learning effect is improved. And the identification effect is ensured.
Step S240, obtaining gender information of the target object through the deep learning module extracting features of the target object according to the face information of the target object and the posture information of the target object.
It can be understood that, by applying the steps S230 and S240, the initial labor cost is higher, but the controllability is better, which is beneficial to avoiding information leakage. Moreover, if the module is built by self, under certain conditions, an intelligent platform similar to Huacheng cloud can be built.
It should be understood that steps S230 and S240 belong to one embodiment, steps S210 and S220 also belong to one embodiment, and the two embodiments may be combined with each other.
Referring to fig. 5, fig. 5 is a flowchart illustrating a resource pushing method according to a fifth embodiment of the present invention, wherein the resource pushing method is based on basic feature information of a target object.
In fig. 5, in step S300, the step of pushing resources according to the basic feature information of the target object specifically includes:
step S310, comparing the face information and the posture information of the target object with the potential target set category information to determine the specific categories of the face information and the posture information of the target object in the target set category information.
Step S320, pushing the resources corresponding to the target set category according to the specific category in the target set category information.
In step S310, the face information and the posture information of the target object are compared with the potential target set category information to determine the specific categories of the face information and the posture information of the target object in the target set category information.
The information comparison described above is a similarity comparison between data representing features and data of the target set category information. Generally, a preset value needs to be set in the comparison process, and the preset value is used for representing the similarity between the target set category information and the target set category information, so as to judge the specific category.
When the similarity between the target set category information and a certain category of target set category information is greater than the preset value, the target set category information can be confirmed to belong to the category of target set category information, otherwise, the target set category information does not belong to the category of target set category information.
Specifically, each piece of image information is compared with preset image information, the similarity between the image information and the preset image information is generated, the target similarity larger than the preset value in the similarity is determined, and the preset image information corresponding to the target similarity is determined as the target preset image information.
Step S320, obtaining the push resource corresponding to the target set category according to the target set category information, which specifically includes:
and S321, analyzing the potential target set category information and formulating a classification configuration table.
Step S322, according to the classification configuration table, the remote push resources and/or the local push resources corresponding to the target set category are called.
And S321, analyzing the potential target set category information and formulating a classification configuration table. It can be understood that, by setting the classification configuration table, background loading operation can be facilitated, and pushing behavior can be performed more quickly. After the classification configuration table is loaded, it can be determined that the target set category information belongs to a potential target set category information.
Step S322, according to the classification configuration table, the remote push resources and/or the local push resources corresponding to the target set category are called.
After the target set category information is confirmed, the push information corresponding to the potential target set category information is forwarded. Specifically, the remote resource pushing may be sent by a planner after transmission through a network; or directly extracted from a certain database through a classification configuration table and transmitted through a network. The local push resource may be stored in the push distribution device or may be free from the device.
Referring to fig. 6, fig. 6 is a structural diagram of a module for pushing by applying identity recognition according to the present invention. In fig. 6, the present invention further provides a module for pushing by using identity recognition, including: the device comprises a target object acquisition unit, a feature extraction unit and a push display unit;
a target object acquisition unit configured to acquire face information and posture information of a target object when the target object is detected;
the characteristic analysis unit is used for extracting the characteristics of the face information and the posture information of the target object to acquire the basic characteristic information of the target object;
and the push display unit is used for sending out push resources according to the basic characteristic information of the target object.
The module for pushing by application identity recognition is used for bearing the method for pushing by application identity recognition. The module and the method are combined, and the pushing resource can be sent out according to the basic characteristic information of the target object. The method can send out more interesting information aiming at specific customers, increase the viscosity of the content of the large screen, and further increase the conversion rate of the advertisement to generate actual benefits.
Each functional unit in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The module-integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer-readable storage medium.
Further, the module for pushing by using identity recognition further includes a resource storage unit, configured to store a remote pushed resource and/or a local pushed resource, where the resource storage unit is a resource server.
Alternatively, in the resource server, the authority is set for different administrators, and the administrators having different authorities control the resources corresponding to their authorities. The higher the administrator authority is, the larger the encryption degree of the account is, and the higher the resource corresponding to the authority is. Therefore, the problem that some resources which can be played only in a specific period are played in an improper period is avoided.
Based on this, all or part of the flow in the method of the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, and the computer program of the module may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the methods may be implemented. Where the modular computer program comprises computer program code, the modular computer program code may be in the form of source code, object code, an executable file or some intermediate form, or the like. The module computer readable medium may include: any entity or device capable of carrying modular computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
The invention also provides an AR pushing system, and the module is borne by the AR interactive screen.
In this embodiment, an AR interactive large screen is adopted, and the AR interactive large screen is configured with a target object acquisition unit, so that the identity of a client can be identified in time and a push is sent out. The expressive force is stronger, the attraction to the client is better, and the client is easily attracted.
Further, the AR push system uses a 5G network to perform information transmission. The 5G network has the characteristics of high speed, high reliability and low time delay, can seamlessly transmit the AR information to an AR interactive large screen, and ensures the transmission benefit.
In an embodiment, the AR large screen collects face data through a Kinect camera, the identity data is analyzed through an identity recognition module to obtain basic classification information of a current target object, important classification information is extracted, and after a 5G-based pushing background is returned, corresponding content in a preset content pool is pushed to the AR large screen through a 5G network according to a classification label of an experiencer.
Preferably, the planner will classify our contents into a configuration table according to the classification label of the crowd. Dynamically loading the configuration table by a background; and the background receives the experience person information transmitted by the AR large screen and distributes corresponding experience content to the corresponding AR large screen.
It should be noted that the modular computer-readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer-readable media does not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
In summary, by using the method and the device for pushing the resources, the purpose is stronger, the conversion rate is more excellent, the corresponding most suitable content can be provided according to different experience crowds, meanwhile, the updating can be performed rapidly and invisibly, the viscosity of the content of the large screen is increased, and further, the conversion rate of the advertisement is increased to generate actual profits.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A pushing method based on identity recognition is characterized by comprising the following steps:
when a target object is detected, acquiring face information and posture information of the target object;
extracting the face information and the posture information of the target object to obtain the basic characteristic information of the target object;
and pushing the corresponding resources according to the basic characteristic information of the target object.
2. The method for pushing by applying identity recognition according to claim 1, wherein the step of obtaining the face information and the posture information of the target object when the target object is detected further comprises the following steps:
acquiring face information and posture information of a potential target set;
obtaining target set category information according to the face information and the posture information of the potential target set; and preparing resources to be pushed corresponding to the target set category according to the target set category information.
3. The method for pushing by applying identity recognition according to claim 2, wherein the step of extracting the features of the face information and the posture information of the target object to obtain the basic feature information of the target object comprises:
connecting a face recognition module of a third party;
and obtaining the age range information of the target object through the face recognition module of the third party according to the face information of the target object.
4. The method for pushing by applying identity recognition according to claim 2, wherein the step of acquiring the face information of the target object and extracting the posture information of the target object when the target object is detected specifically comprises:
establishing a deep learning module for extracting target object characteristics;
and acquiring gender information of the target object through the deep learning module for extracting the characteristics of the target object according to the face information of the target object and the posture information of the target object.
5. The method for pushing by applying identity recognition according to claim 3 or 4, wherein the step of pushing the resource according to the basic feature information of the target object specifically comprises:
comparing the face information and the posture information of the target object with the potential target set category information to determine the specific categories of the face information and the posture information of the target object in the target set category information;
and pushing the resources of the corresponding target set category according to the specific category in the target set category information.
6. The method for pushing by applying identity recognition according to claim 5, wherein the step of obtaining the push resource corresponding to the target set category according to the target set category information specifically includes:
analyzing the potential target set category information and formulating a classification configuration table;
and calling the remote push resources and/or the local push resources corresponding to the target set categories according to the classification configuration table.
7. The utility model provides a module that application identification carries out propelling movement which characterized in that includes: the device comprises a target object acquisition unit, a feature extraction unit and a push display unit;
the target object acquisition unit is used for acquiring the face information and the posture information of the target object when the target object is detected;
the feature analysis unit is used for extracting features of the face information and the posture information of the target object to acquire basic feature information of the target object;
and the push display unit is used for sending out push resources according to the basic characteristic information of the target object.
8. A module for push with application identity recognition according to claim 7, further comprising a resource storage unit for storing remote push resources and/or local push resources.
9. An AR push system, characterized by: the module of claim 7 or 8 is carried by an AR interactive screen.
10. The AR push system of claim 9, wherein: and carrying out information transmission by using the 5G network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010064570.2A CN111311355A (en) | 2020-01-20 | 2020-01-20 | Method and module for pushing by applying identity recognition and AR pushing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010064570.2A CN111311355A (en) | 2020-01-20 | 2020-01-20 | Method and module for pushing by applying identity recognition and AR pushing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111311355A true CN111311355A (en) | 2020-06-19 |
Family
ID=71146874
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010064570.2A Pending CN111311355A (en) | 2020-01-20 | 2020-01-20 | Method and module for pushing by applying identity recognition and AR pushing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111311355A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160337696A1 (en) * | 2014-02-07 | 2016-11-17 | Samsung Electronics Co., Ltd | Content recommendation method and device |
| CN106991169A (en) * | 2017-03-31 | 2017-07-28 | 北京小米移动软件有限公司 | Recommendation method and device based on augmented reality AR equipment |
| CN109509038A (en) * | 2018-12-27 | 2019-03-22 | 盯盯拍（深圳）云技术有限公司 | Information-pushing method and information push-delivery apparatus |
| CN110264299A (en) * | 2019-05-07 | 2019-09-20 | 平安科技（深圳）有限公司 | Clothes recommended method, device and computer equipment based on recognition of face |
| CN110442783A (en) * | 2019-07-05 | 2019-11-12 | 深圳壹账通智能科技有限公司 | Information-pushing method, device based on recognition of face, computer equipment |
-
2020
- 2020-01-20 CN CN202010064570.2A patent/CN111311355A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160337696A1 (en) * | 2014-02-07 | 2016-11-17 | Samsung Electronics Co., Ltd | Content recommendation method and device |
| CN106991169A (en) * | 2017-03-31 | 2017-07-28 | 北京小米移动软件有限公司 | Recommendation method and device based on augmented reality AR equipment |
| CN109509038A (en) * | 2018-12-27 | 2019-03-22 | 盯盯拍（深圳）云技术有限公司 | Information-pushing method and information push-delivery apparatus |
| CN110264299A (en) * | 2019-05-07 | 2019-09-20 | 平安科技（深圳）有限公司 | Clothes recommended method, device and computer equipment based on recognition of face |
| CN110442783A (en) * | 2019-07-05 | 2019-11-12 | 深圳壹账通智能科技有限公司 | Information-pushing method, device based on recognition of face, computer equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108876526B (en) | Commodity recommendation method and device and computer-readable storage medium | |
| US10635952B2 (en) | Cognitive analysis and classification of apparel images | |
| CN109978630A (en) | A kind of Precision Marketing Method and system for establishing user's portrait based on big data | |
| CN112017015B (en) | Commodity information recommendation method, related device, equipment and storage medium | |
| CN108681970A (en) | Finance product method for pushing, system and computer storage media based on big data | |
| US20220405607A1 (en) | Method for obtaining user portrait and related apparatus | |
| CN108876430B (en) | Advertisement pushing method based on crowd characteristics, electronic equipment and storage medium | |
| Jeong et al. | The key antecedent and consequences of destination image in a mega sporting event | |
| WO2018121541A1 (en) | User attribute extraction method and apparatus, and electronic device | |
| CN110162359A (en) | Method for pushing, the apparatus and system of new hand's guidance information | |
| CN111027838A (en) | Crowdsourcing task pushing method, device, equipment and storage medium thereof | |
| CN116894711A (en) | Commodity recommendation reason generation method and device and electronic equipment | |
| EP3857468A1 (en) | Recommendation method and system and method and system for improving a machine learning system | |
| CN115907868A (en) | Advertisement delivery analysis method and device | |
| CN116308497A (en) | Data processing method and device | |
| CN111311355A (en) | Method and module for pushing by applying identity recognition and AR pushing system | |
| CN113672816B (en) | Account feature information generation method and device, storage medium and electronic equipment | |
| CN111225009A (en) | Method and apparatus for generating information | |
| CN115187277A (en) | Intelligent marketing system based on electronic business card | |
| Gautam et al. | Perceptive advertising using standardised facial features | |
| CN116521937A (en) | Video form generation method, device, equipment, storage medium and program product | |
| CN108573056B (en) | Content data processing method and device, electronic equipment and storage medium | |
| CN114846812A (en) | Abstract video generation method and device and server | |
| CN111415186B (en) | Marketing method, marketing device, computer device, and storage medium | |
| Jia | Innovation, Competitive Advantage, and Customer Loyalty: Insights from Live Streaming Enterprises |
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 |