CN115099866B - Advertisement putting system based on AI glasses - Google Patents
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Abstract
The invention provides an advertisement putting system based on AI glasses, which comprises a viewing mode setting module, a user group classification module and a putting processing module; the viewing mode setting module is used for setting the type of the viewing mode of the AI glasses; the user group classification module is used for classifying the user groups of the AI glasses; the delivery processing module is used for analyzing and processing according to the using group and the current viewing mode and obtaining an advertisement delivery result; the watching mode setting module comprises a far-looking unit, a near-looking unit, an eye protection unit and an object recognition unit; the invention can set the advertisement putting mode according to the type of the user and the current watching mode of the user so as to solve the problem of reduced using experience of the user caused by mismatching of the advertisement putting of the conventional AI glasses with the actual use of the user.
Description
Technical Field
The invention relates to the technical field of package display, in particular to an advertisement putting system based on AI glasses.
Background
AI is artificial intelligence, and artificial intelligence is a branch of computer science, and it is the essence of understanding intelligence to it is tried to produce a new intelligent machine that can react with the similar mode of human intelligence, and research in this field includes robot, language identification, image recognition, natural language processing and expert system etc. with AI technical application, AI glasses can provide intelligent recognition's mode for the user, in the prior art, when using AI glasses to carry out advertisement delivery, the experience when many advertisements all can influence user's actual use, brings bad user experience for the user.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an advertisement putting system based on AI glasses, which can set an advertisement putting mode according to the type of a user and the current watching mode of the user so as to solve the problem that the use experience of the user is reduced due to the fact that the advertisement putting of the existing AI glasses is not matched with the actual use of the user.
In order to achieve the above object, the present invention is realized by the following technical scheme: an advertisement putting system based on AI glasses comprises a watching mode setting module, a user group classification module and a putting processing module; the viewing mode setting module is used for setting the type of the viewing mode of the AI glasses; the user group classification module is used for classifying the user groups of the AI glasses; the delivery processing module is used for analyzing and processing according to the using group and the current viewing mode and obtaining an advertisement delivery result;
the watching mode setting module comprises a far-looking unit, a near-looking unit, an eye protection unit and an object recognition unit; the far vision unit is used for setting the AI glasses to a far vision mode, the near vision unit is used for setting the AI glasses to a near vision mode, the eye protection unit is used for setting the AI glasses to an eye protection mode, and the object recognition unit is used for setting the AI glasses to an object recognition mode;
the delivery processing module comprises an advertisement database, a pattern analysis unit and a delivery processing unit; the advertisement database stores advertisement types of different groups; the pattern analysis unit is used for analyzing the use group and the current viewing pattern; and the delivery processing unit is used for delivering advertisements based on the analysis result of the mode analysis unit.
Further, the viewing mode setting module is configured with a viewing mode release setting policy, the viewing mode release setting policy comprising: setting a far-view throwing index for a far-view mode, setting a near-view throwing index for a near-view mode, setting an eye-protection throwing index for an eye-protection mode, and setting an identification throwing index for an identification mode.
Further, the usage crowd classification module is configured with a usage crowd classification policy, the usage crowd classification policy comprising: the crowd is divided into young, middle-aged and elderly women, middle-aged and elderly men;
and setting a young throwing index, a middle-aged female throwing index, a middle-aged male throwing index and an aged throwing index for the young group, the middle-aged female group, the middle-aged male throwing index and the aged group respectively.
Further, the advertisement database is configured with advertisement storage policies, the advertisement storage policies comprising: sequentially sequencing the time length of watching advertisements in a far-view mode, a near-view mode, an eye protection mode and an object recognition mode of the young groups from high to low, and selecting the advertisement of the first young in the ranking of each watching mode as the advertisement type of the young groups in each watching mode;
sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye-protection mode and the object recognition mode of the middle-aged women group from high to low, and selecting the advertisement of the selected number of the first middle-aged women before ranking in each watching mode as the advertisement type of the middle-aged women group in each watching mode;
sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye-protection mode and the object recognition mode of the middle-aged man group from high to low, and selecting the advertisement of the selected number of first middle-aged men in the ranking of each watching mode as the advertisement type of the middle-aged man group in each watching mode;
and sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye protection mode and the object recognition mode of the senile group from high to low, and selecting the advertisement of the first senile putting selection number before ranking in each watching mode as the advertisement putting type of the senile group in each watching mode.
Further, the pattern analysis unit is configured with a pattern analysis strategy comprising: accumulating the young throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain young far-looking throwing frequency, young near-looking throwing frequency, young eye-protecting throwing frequency and young object-identifying throwing frequency respectively;
accumulating the middle-aged women's throwing index, the far-sighted throwing index, the near-sighted throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged women's far-sighted throwing frequency, middle-aged women's near-sighted throwing frequency, middle-aged women's eye-protecting throwing frequency and middle-aged women's object-identifying throwing frequency;
respectively accumulating the middle-aged male throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged male far-looking throwing frequency, middle-aged male near-looking throwing frequency, middle-aged male eye-protecting throwing frequency and middle-aged male object-identifying throwing frequency;
the aged throwing index and the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index are respectively accumulated to obtain aged far-looking throwing frequency, aged near-looking throwing frequency, aged eye-protecting throwing frequency and aged object-identifying throwing frequency.
Further, the delivery processing unit is configured with a delivery processing policy, where the delivery processing policy includes: according to the release frequencies of young, middle-aged and middle-aged men and elderly groups in different watching modes, releasing the corresponding release advertisement types;
and obtaining the sum of the watching time length and the sum of the advertisement time length of the first three groups of advertisements of the using group in the process of putting, substituting the sum of the watching time length and the sum of the advertisement time length into an advertisement putting compensation frequency formula to obtain the putting compensation frequency, and continuing putting advertisements according to the putting compensation frequency.
Further, the advertisement placement compensation frequency formula is configured to:
wherein Pbc is the frequency of putting compensation, zgk is the duration of watching and integrating, ztf advertisement duration is integrated, z1 is the compensation coefficient, and the value range of z1 is 0-1.
The invention has the beneficial effects that: according to the invention, the viewing mode of the AI glasses can be set to be a far viewing mode, a near viewing mode, an eye protection mode and an object recognition mode through the viewing mode setting module, the use group of the AI glasses can be classified through the use group classification module, finally, the advertisement putting result can be obtained through analysis and processing according to the use group and the current viewing mode through the putting processing module, and the advertisement putting can be carried out according to the type of the use group and the current viewing mode of the use group, so that the matching degree of advertisement putting is improved, and the use feeling of advertisement watching of a user is improved.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a schematic diagram of a classification of viewing modes;
fig. 3 is a schematic diagram of classification of a user population.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Referring to fig. 1, the invention provides an advertisement putting system based on AI glasses, which can set an advertisement putting mode according to the type of a user and the current watching mode of the user, so as to solve the problem that the use experience of the user is reduced due to the fact that the advertisement putting of the conventional AI glasses is not matched with the actual use of the user.
The throwing system comprises a watching mode setting module, a user group classification module and a throwing processing module, and is set based on the type of the user and the watching mode of the user using the AI glasses currently, so that the matching degree of advertisement throwing and user use can be improved, and the use experience of the user is improved.
Referring to fig. 2, the viewing mode setting module is configured to set a type of viewing mode of the AI glasses; the watching mode setting module comprises a far-looking unit, a near-looking unit, an eye protection unit and an object recognition unit; the far vision unit is used for setting the AI glasses to a far vision mode, the near vision unit is used for setting the AI glasses to a near vision mode, the eye protection unit is used for setting the AI glasses to an eye protection mode, and the object recognition unit is used for setting the AI glasses to an object recognition mode; the viewing mode setting module is configured with a viewing mode release setting strategy, and the viewing mode release setting strategy comprises: setting a far-looking throwing index for a far-looking mode, setting a near-looking throwing index for a near-looking mode, setting an eye-protection throwing index for an eye-protection mode, and setting an identification throwing index for an identification mode, wherein the throwing index for a watching mode is arranged into the identification throwing index, the near-looking throwing index, the far-looking throwing index and the eye-protection throwing index from large to small, the identification mode is a process of identifying external objects by using groups, the process can increase advertisement throwing, the other three modes belong to a process of experiencing the use feeling of AI glasses by a user, the advertisement throwing rate in the mode needs to be reduced, the throwing rate in the near-looking mode is larger than that in the far-looking mode, and the throwing rate in the far-looking mode is larger than that in the eye-protection mode.
Referring to fig. 3, the usage population classification module is configured to classify usage populations of AI glasses; the usage crowd classification module is configured with a usage crowd classification policy, the usage crowd classification policy comprising: the crowd is divided into young, middle-aged and elderly women, middle-aged and elderly men; setting a young throwing index, a middle-aged female throwing index, a middle-aged male throwing index and an elderly throwing index for a young group, a middle-aged female group, a middle-aged male group and an elderly throwing index for an elderly group respectively, wherein the throwing indexes of the user groups are ranked into the middle-aged female group, the young group, the middle-aged male group and the elderly group from big to small, the advertisement throwing proportion of the middle-aged female group is highest, the throwing proportion of the young group is second, and the middle-aged male group and the elderly group are ranked into a third position and a fourth position.
The delivery processing module is used for analyzing and processing according to the using group and the current viewing mode and obtaining an advertisement delivery result; the delivery processing module comprises an advertisement database, a pattern analysis unit and a delivery processing unit; the advertisement database stores advertisement types of different groups; the advertisement database is configured with advertisement storage policies, the advertisement storage policies comprising: sequentially sequencing the time length of watching advertisements in a far-view mode, a near-view mode, an eye protection mode and an object recognition mode of the young groups from high to low, and selecting the advertisement of the first young in the ranking of each watching mode as the advertisement type of the young groups in each watching mode; sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye-protection mode and the object recognition mode of the middle-aged women group from high to low, and selecting the advertisement of the selected number of the first middle-aged women before ranking in each watching mode as the advertisement type of the middle-aged women group in each watching mode; sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye-protection mode and the object recognition mode of the middle-aged man group from high to low, and selecting the advertisement of the selected number of first middle-aged men in the ranking of each watching mode as the advertisement type of the middle-aged man group in each watching mode; and sequentially sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye protection mode and the object recognition mode of the senile group from high to low, and selecting the advertisement of the first senile putting selection number before ranking in each watching mode as the advertisement putting type of the senile group in each watching mode.
The pattern analysis unit is used for analyzing the use group and the current viewing pattern; the pattern analysis unit is configured with a pattern analysis strategy comprising: accumulating the young throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain young far-looking throwing frequency, young near-looking throwing frequency, young eye-protecting throwing frequency and young object-identifying throwing frequency respectively; in the addition process of the throwing frequency of the young group, sequentially multiplying the throwing frequency by the throwing coefficient of the young group to convert, wherein the throwing coefficient of the young group is set between 0.5 and 1; accumulating the middle-aged women's throwing index, the far-sighted throwing index, the near-sighted throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged women's far-sighted throwing frequency, middle-aged women's near-sighted throwing frequency, middle-aged women's eye-protecting throwing frequency and middle-aged women's object-identifying throwing frequency; in the process of accumulating the release frequency of the middle-aged women, sequentially multiplying the release frequency by the release coefficient of the middle-aged women to convert, wherein the release coefficient of the middle-aged women is set between 1 and 1.5; respectively accumulating the middle-aged male throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged male far-looking throwing frequency, middle-aged male near-looking throwing frequency, middle-aged male eye-protecting throwing frequency and middle-aged male object-identifying throwing frequency; in the adding process of the throwing frequency of the middle-aged male group, sequentially multiplying the throwing frequency by the throwing coefficient of the middle-aged male group to convert, wherein the throwing coefficient of the middle-aged male group is set between 0.5 and 0.8; the aged throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index are respectively accumulated to obtain aged far-looking throwing frequency, aged near-looking throwing frequency, aged eye-protecting throwing frequency and aged object-identifying throwing frequency, and in the process of accumulating the throwing frequencies of the aged groups, the aged group throwing frequency is sequentially multiplied by the aged group throwing coefficient to be converted, and the aged group throwing coefficient is set between 0.3 and 0.5.
The advertisement delivery processing unit is used for delivering advertisements based on the analysis result of the mode analysis unit, and is configured with a delivery processing strategy, and the delivery processing strategy comprises: according to the release frequencies of young, middle-aged and middle-aged men and elderly groups in different watching modes, releasing the corresponding release advertisement types; and obtaining the sum of the watching time length and the sum of the advertisement time length of the first three groups of advertisements of the using group in the process of putting, substituting the sum of the watching time length and the sum of the advertisement time length into an advertisement putting compensation frequency formula to obtain putting compensation frequency, wherein the advertisement putting compensation frequency formula is configured as follows:
wherein Pbc is the advertisement delivery compensation frequency, zgk is the comprehensive of the watching duration, ztf is the comprehensive of the advertisement duration, z1 is the compensation coefficient, and the value range of z1 is between 0 and 1, wherein z1 is set between 0 and 1, so that the subsequent advertisement delivery frequency can be reduced, a comfortable advertisement delivery mode is created for users as much as possible, and advertisements are continuously delivered according to the delivery compensation frequency.
Working principle: the viewing mode of the AI glasses is set to be a far viewing mode, a near viewing mode, an eye protection mode and an object recognition mode through the viewing mode setting module, the using groups of the AI glasses are classified through the group classification module, finally, analysis and processing can be carried out according to the using groups and the current viewing mode through the putting processing module, and an advertisement putting result is obtained, so that advertisement putting can be carried out according to the types of the using groups and the current viewing mode of the using groups.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. An advertisement putting system based on AI glasses is characterized in that the putting system comprises a watching mode setting module, a user group classification module and a putting processing module; the viewing mode setting module is used for setting the type of the viewing mode of the AI glasses; the user group classification module is used for classifying the user groups of the AI glasses; the delivery processing module is used for analyzing and processing according to the using group and the current viewing mode and obtaining an advertisement delivery result;
the delivery processing module comprises an advertisement database, a pattern analysis unit and a delivery processing unit; the advertisement database stores advertisement types of different groups; the pattern analysis unit is used for analyzing the use group and the current viewing pattern; the delivery processing unit is used for delivering advertisements based on the analysis result of the mode analysis unit;
the pattern analysis unit is configured with a pattern analysis strategy comprising: accumulating the young throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain young far-looking throwing frequency, young near-looking throwing frequency, young eye-protecting throwing frequency and young object-identifying throwing frequency respectively;
accumulating the middle-aged women's throwing index, the far-sighted throwing index, the near-sighted throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged women's far-sighted throwing frequency, middle-aged women's near-sighted throwing frequency, middle-aged women's eye-protecting throwing frequency and middle-aged women's object-identifying throwing frequency; respectively accumulating the middle-aged male throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain middle-aged male far-looking throwing frequency, middle-aged male near-looking throwing frequency, middle-aged male eye-protecting throwing frequency and middle-aged male object-identifying throwing frequency; respectively accumulating the aged throwing index, the far-looking throwing index, the near-looking throwing index, the eye-protecting throwing index and the object-identifying throwing index to obtain aged far-looking throwing frequency, aged near-looking throwing frequency, aged eye-protecting throwing frequency and aged object-identifying throwing frequency;
the watching mode setting module comprises a far-looking unit, a near-looking unit, an eye protection unit and an object recognition unit; the far vision unit is used for setting the AI glasses to a far vision mode, the near vision unit is used for setting the AI glasses to a near vision mode, the eye protection unit is used for setting the AI glasses to an eye protection mode, and the object recognition unit is used for setting the AI glasses to an object recognition mode;
the release processing unit is configured with a release processing strategy, and the release processing strategy comprises: according to the release frequencies of young, middle-aged and middle-aged men and elderly groups in different watching modes, releasing the corresponding release advertisement types;
and obtaining the sum of the watching time length and the sum of the advertisement time length of the first three groups of advertisements of the using group in the process of putting, substituting the sum of the watching time length and the sum of the advertisement time length into an advertisement putting compensation frequency formula to obtain the putting compensation frequency, and continuing putting advertisements according to the putting compensation frequency.
2. The AI-glasses-based advertising system of claim 1, wherein the viewing mode setting module is configured with a viewing mode placement setting policy comprising: setting a far-view throwing index for a far-view mode, setting a near-view throwing index for a near-view mode, setting an eye-protection throwing index for an eye-protection mode, and setting an identification throwing index for an identification mode.
3. The AI-glasses-based advertising system of claim 2, wherein the usage crowd classification module is configured with a usage crowd classification policy comprising: the crowd is divided into young, middle-aged and elderly women, middle-aged and elderly men;
and setting a young throwing index, a middle-aged female throwing index, a middle-aged male throwing index and an aged throwing index for the young group, the middle-aged female group, the middle-aged male throwing index and the aged group respectively.
4. The AI-glasses-based advertising system of claim 3, wherein the advertising database is configured with an advertisement storage policy comprising: sequentially sequencing the time length of watching advertisements in a far-view mode, a near-view mode, an eye protection mode and an object recognition mode by the young people group from high to low, and selecting the advertisement type of the advertisement ranked first in each watching mode as the advertisement type of the young people group in each watching mode;
sequentially sequencing the time length of watching advertisements in a far-view mode, a near-view mode, an eye-protection mode and an object recognition mode of the middle-aged women group from high to low, and selecting the advertisement type of the advertisement ranked first in each watching mode as the advertisement type of putting the middle-aged women group in each watching mode; the method comprises the steps of sequentially sequencing the time length of watching advertisements in a far-view mode, a near-view mode, an eye-protection mode and an object recognition mode of a middle-aged man group from high to low, and selecting the advertisement type of the advertisement ranked first in each watching mode as the advertisement type of the middle-aged man group in each watching mode; and sequencing the time length of watching advertisements in the far-view mode, the near-view mode, the eye protection mode and the object recognition mode of the senile group from high to low in sequence, and selecting the advertisement type of the advertisement ranked first in each watching mode as the advertisement type of the senile group in each watching mode.
5. The AI-glasses-based advertising system of claim 4, wherein the advertising compensation frequency formula is configured to:
wherein Pbc is the frequency of putting compensation, zgk is the duration of watching and integrating, ztf advertisement duration is integrated, z1 is the compensation coefficient, and the value range of z1 is 0-1.
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| 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 |
| CN111768250A (en) * | 2020-07-31 | 2020-10-13 | 京东数字科技控股股份有限公司 | Method, device, computer readable medium and electronic equipment |
| CN112163909A (en) * | 2020-10-29 | 2021-01-01 | 杭州次元岛科技有限公司 | Advertisement delivery system based on big data |
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