CN111626781A - Advertisement putting method based on artificial intelligence - Google Patents
Advertisement putting method based on artificial intelligence Download PDFInfo
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- CN111626781A CN111626781A CN202010463675.5A CN202010463675A CN111626781A CN 111626781 A CN111626781 A CN 111626781A CN 202010463675 A CN202010463675 A CN 202010463675A CN 111626781 A CN111626781 A CN 111626781A
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- G—PHYSICS
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- 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
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0265—Vehicular advertisement
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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Abstract
The invention provides an advertisement putting method based on artificial intelligence, and belongs to the technical field of advertisement putting. The advertisement putting method based on artificial intelligence is characterized in that when the method is used, firstly, an advertisement putting person collects and inputs image information through multipoint camera crowds and vehicles in a putting area, then, the obtained information is operated through an AI system, analyzed and identified, then, the crowds in different age groups are classified according to the ages and the sexes of the crowds, meanwhile, different vehicle categories are classified, at the moment, the mutual matching with different advertisements is completed through the ages, the sexes and the vehicle categories, and the advertisements are put in, finally, the collected data can be shared with an external shared database, so that different advertisements can be put in different audience crowds in the advertisement putting process, the advertisement putting accuracy is improved, advertisement resources are utilized to the maximum extent, and the advertisement putting effect is improved to the maximum extent.
Description
Technical Field
The invention relates to the field of advertisement putting, in particular to an advertisement putting method based on artificial intelligence.
Background
The advertisement delivery can select specific target users and areas on a digital media trading platform, a media collection online advertisement delivery platform or a network number system platform according to the content of the advertisements and accurately deliver the advertisements to the users in three forms of characters, pictures or videos.
At present, the existing advertisement putting accuracy is relatively low, so that the advertisement putting effect and the advertisement putting cost are caused, and the resource utilization rate of the advertisement is low.
Disclosure of Invention
In order to make up for the above deficiencies, the invention provides an advertisement putting method based on artificial intelligence, aiming at solving the problems that the existing advertisement putting precision is relatively low, so that the advertisement putting effect and the advertisement putting cost are caused, and the resource utilization rate of the advertisement is low.
The invention is realized by the following steps:
the invention provides an advertisement putting method based on artificial intelligence, which comprises the following steps:
s1: information acquisition, namely performing information input on the crowd and the vehicles in the advertisement delivery area through camera equipment;
s2: information identification and classification, namely performing big data operation, analysis and identification through an AI system according to the input information to obtain big data of a human face and a vehicle, and classifying the obtained information;
s3: advertising, namely identifying and classifying according to the information of S2, and automatically matching corresponding advertisement categories;
s4: playing the advertisement, namely playing the advertisement through an external playing system according to the delivery of the advertisement S3;
s5: and sharing the information, namely sharing the acquired information to a sharing system of the external composite request through the sharing device and storing the information through S1 and S2.
In one embodiment of the invention, the camera device is a camera of an advertisement delivery area.
In an embodiment of the present invention, the AI system in step S2 is a computer intelligent system, and is mainly divided into a dynamic AI system and a collaborative AI system.
In one embodiment of the present invention, the step S2 completes AI data modeling according to the picture information of the human face and the vehicle entered in S1, and completes information comparison and analysis with a database in the sharing system through data modeling.
In one embodiment of the present invention, the step S2 collects the age and sex of the specific face through AI data modeling, and classifies people of different ages and sexes according to the age and sex.
In one embodiment of the present invention, the step S2 is classified according to the type of the collected specific vehicle and according to the vehicle type through AI data modeling.
In one embodiment of the present invention, the age and gender information is uploaded to step S5, and the AI system performs matching setting of age, gender and advertisement placement.
In one embodiment of the present invention, the vehicle information is uploaded to S5, and the AI system performs mutual matching setting of the vehicle type and the advertisement placement.
In an embodiment of the present invention, the external playing system in step S4 is a display screen and a voice player in the advertisement delivery area.
In an embodiment of the present invention, the sharing system in step S5 refers to a subject participating in resource sharing, and implements effective flow of resources through various coordination mechanisms to meet the use of resources by the demander.
The invention has the beneficial effects that: the invention obtains the advertisement putting method based on artificial intelligence through the design, when in use, firstly, an advertisement putting person collects and inputs image information through the multipoint camera crowd and the vehicle in the putting area, then the obtained information is operated, analyzed and identified through the AI system, then the crowds in different age groups are classified according to the age and the gender of the crowds, simultaneously, different vehicle categories are classified, at the same time, the mutual matching with different advertisements is completed through the age, the gender and the vehicle categories, and the putting is carried out, finally, the collected data can be shared with an external shared database, thus, the putting of different advertisements to different audience crowds can be completed in the advertisement putting process, thereby improving the advertisement putting precision, utilizing the advertisement resources to the maximum extent, and improving the advertisement putting effect to the maximum extent, meanwhile, the data can be identified by using the existing camera image in the society in the input process of the advertisement, and the data sharing is completed, so that the cost of repeated construction is reduced.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided below is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
Examples
The invention provides an advertisement putting method based on artificial intelligence, which comprises the following steps:
s1: information acquisition, namely performing information input on the crowd and the vehicles in the advertisement delivery area through camera equipment; the camera equipment is a camera in the advertisement delivery area, the camera is a waterproof camera, so that people and vehicles can be continuously recorded in different weather, the recording of people and vehicles in the advertisement delivery area can be completed through the camera, and recorded people and vehicle videos are stored.
S2: information identification and classification, namely performing big data operation, analysis and identification through an AI system according to the input information to obtain big data of a human face and a vehicle, and classifying the obtained information; the AI system in the step S2 is a computer intelligent system, which is mainly divided into a dynamic AI system and a collaborative AI system, and the entered information of the crowd and the vehicle can be more vividly and comprehensively calculated, analyzed and identified through the dynamic AI system and the collaborative AI system; the step S2 completes AI data modeling according to the picture information of the human face and the vehicle, which is input in the step S1, and completes information comparison and analysis through the data modeling and the shared database; through the arrangement, the classification of crowds and running vehicles in different areas is completed, different advertisements can be distinguished in different advertisement putting areas, and therefore the maximum value of advertisement putting is improved.
It should be noted here that the AI system uses Python to complete programming, and the Python has simple syntax and multiple functions, and is one of the favorite AI development programming languages for developers. The use of Python for machine learning is very pleasing to developers because it is simpler than C + + and Java languages. Python is also a very portable language because it can be used on Linux, Windows, Mac OS and UNIX platforms. Python is also popular with developers because it allows developers to create interactive, interpretable, modular, dynamic, portable, and high-level code, which makes it more unique than the Java language.
In addition, Python is a multi-paradigm programming language that supports object-oriented, procedural and functional programming styles. Python is well suited for the development of neural networks and Natural Language Processing (NLP) solutions because it has a simple function library and an ideal structure.
S3: advertising, namely identifying and classifying according to the information of S2, and automatically matching corresponding advertisement categories; the step S2 acquires specific face age and gender through AI data modeling, and classifies people of different age groups and genders according to age and gender; the step S2 is classified according to the type of the collected specific vehicle through AI data modeling and according to the type of the vehicle; uploading the age and gender information to step S5, and completing the mutual matching setting of the age, gender and advertisement delivery by the AI system; the vehicle information is uploaded to S5, and the AI system completes the mutual matching setting of the vehicle type and the advertisement putting; different advertisements are put in different crowds, different advertisements are put in crowds driving different vehicles, the advertisements can be put in more accurately, the advertisement putting effect is greatly improved, advertisement resources are utilized to the maximum extent, and therefore the advertisement putting effect is improved.
S4: playing the advertisement, namely playing the advertisement through an external playing system according to the delivery of the advertisement S3; in the step S4, the external playing system is a display screen and a voice player in the advertisement delivery area, and the sound of the advertisement and the dynamic picture can be delivered in combination by setting the display screen and the voice player, so that the attention of the crowd can be attracted, and the advertisement delivery effect is improved.
S5: sharing information, namely sharing the acquired information to a sharing system with an external composite requirement through sharing equipment and storing the information through S1 and S2; the sharing system in step S5 is a subject participating in resource sharing, and realizes effective flow of resources through various coordination mechanisms to meet the use of resources by consumers, thereby reducing the cost of redundant construction by using the existing image recognition data of the cameras in the society.
The structure of the resource sharing system model is a circulation system of three types of main bodies and two types of information flows. "three classes of subjects" means: first, resource demander; the second category, resource providers; the third category, intermediaries. Two types of "information flows" refer to: first, demand information flow; and a second type, providing information flow. The interaction, mutual restriction and mutual dependency among the agents are the various states of self-organization, dynamic adaptation and evolution of the sharing system due to the mutual influence relationship generated by the sharing agents through the interaction of information flows.
The working principle of the block-based transaction behavior limiting method is as follows: firstly, an advertisement putting person collects and inputs image information through multipoint camera crowds and vehicles in a putting area, then the obtained information is calculated, analyzed and identified through an AI system, then the crowds in different age groups are classified according to the ages and the sexes of the crowds, simultaneously different vehicle categories are classified, at the moment, the mutual matching of different advertisements and the putting are completed through the ages, the sexes and the vehicle categories, finally, the collected data can be shared with an external shared database, so that the putting of different advertisements to different crowds can be completed in the advertisement putting process, the advertisement putting accuracy is improved, advertisement resources are utilized to the maximum extent, the advertisement putting effect is improved to the maximum extent, meanwhile, the existing camera image identification data in the society can be utilized in the advertisement inputting process, and data sharing is completed, thereby reducing the cost of repeated construction.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The advertisement putting method based on artificial intelligence is characterized by comprising the following steps:
s1: information acquisition, namely performing information input on the crowd and the vehicles in the advertisement delivery area through camera equipment;
s2: information identification and classification, namely performing big data operation, analysis and identification through an AI system according to the input information to obtain big data of a human face and a vehicle, and classifying the obtained information;
s3: advertising, namely identifying and classifying according to the information of S2, and automatically matching corresponding advertisement categories;
s4: playing the advertisement, namely playing the advertisement through an external playing system according to the delivery of the advertisement S3;
s5: and sharing the information, namely sharing the acquired information in the sharing system of the compound request through the sharing device and storing the information through S1 and S2.
2. The artificial intelligence based advertising method according to claim 1, wherein the camera device is a camera of an advertising area.
3. The method for advertising based on artificial intelligence of claim 1, wherein the AI system in step S2 is a computer intelligence system, which is mainly divided into a dynamic AI system and a collaborative AI system.
4. The artificial intelligence based advertising method according to claim 2, wherein the step S2 performs AI data modeling according to the face and vehicle picture information entered in S1, and performs information comparison and analysis with the database through data modeling.
5. The artificial intelligence based advertising method according to claim 4, wherein the step S2 is implemented by collecting specific human face ages and sexes through AI data modeling, and classifying people and sexes of different ages according to the ages and sexes.
6. The artificial intelligence based advertising method according to claim 4, wherein the step S2 is performed by classifying according to the type of the collected specific vehicle through AI data modeling.
7. The artificial intelligence based advertising method according to claim 5, wherein the age and gender information is uploaded to step S5, and the AI system performs mutual matching setting of age, gender and advertising.
8. The artificial intelligence based advertising method according to claim 5, wherein the vehicle information is uploaded to S5, and the AI system performs mutual matching setting of vehicle type and advertising.
9. The artificial intelligence based advertisement delivery method according to claim 1, wherein the external playing system in step S4 is a display screen and a voice player in the advertisement delivery area.
10. The method for advertising based on artificial intelligence of claim 1, wherein the sharing system in step S5 refers to a subject participating in resource sharing, and through various coordination mechanisms, effective flowing of resources is realized to meet the use of resources by the demander.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010194368 | 2020-03-19 | ||
| CN2020101943681 | 2020-03-19 |
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| CN111626781A true CN111626781A (en) | 2020-09-04 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116384A (en) * | 2020-09-14 | 2020-12-22 | 北京明略昭辉科技有限公司 | Taxi advertisement targeted delivery method and system based on image processing |
| CN112435075A (en) * | 2020-12-09 | 2021-03-02 | 辽宁省视讯技术研究有限公司 | Artificial intelligence advertising system based on image recognition |
| CN115099866A (en) * | 2022-07-07 | 2022-09-23 | 悦诚智慧(厦门)科技有限公司 | Advertisement delivery system based on AI glasses |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160550A (en) * | 2015-08-21 | 2015-12-16 | 浙江视科文化传播有限公司 | Intelligent advertisement delivery method and apparatus |
| CN106846066A (en) * | 2017-02-07 | 2017-06-13 | 张帆 | Intelligent advertisement put-on method and system |
| CN109934625A (en) * | 2019-03-01 | 2019-06-25 | 统云信息科技有限公司 | A kind of artificial intelligence display screen advertisement dynamic throwing system and method |
-
2020
- 2020-05-27 CN CN202010463675.5A patent/CN111626781A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105160550A (en) * | 2015-08-21 | 2015-12-16 | 浙江视科文化传播有限公司 | Intelligent advertisement delivery method and apparatus |
| CN106846066A (en) * | 2017-02-07 | 2017-06-13 | 张帆 | Intelligent advertisement put-on method and system |
| CN109934625A (en) * | 2019-03-01 | 2019-06-25 | 统云信息科技有限公司 | A kind of artificial intelligence display screen advertisement dynamic throwing system and method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116384A (en) * | 2020-09-14 | 2020-12-22 | 北京明略昭辉科技有限公司 | Taxi advertisement targeted delivery method and system based on image processing |
| CN112435075A (en) * | 2020-12-09 | 2021-03-02 | 辽宁省视讯技术研究有限公司 | Artificial intelligence advertising system based on image recognition |
| CN115099866A (en) * | 2022-07-07 | 2022-09-23 | 悦诚智慧(厦门)科技有限公司 | Advertisement delivery system based on AI glasses |
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