CN112116384A - Taxi advertisement targeted delivery method and system based on image processing - Google Patents
Taxi advertisement targeted delivery method and system based on image processing Download PDFInfo
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Abstract
The invention provides a taxi advertisement targeted delivery method and system based on image processing, wherein the method comprises the following steps: classifying and labeling the advertisement materials to be launched of the taxi to obtain different labeled advertisement materials; acquiring videos of rear vehicles in the running process of a taxi in real time, and performing framing processing on the videos to obtain a picture set; identifying the picture set, obtaining the driver attribute and the vehicle characteristic attribute of the rear vehicle, matching the driver attribute with the face database, matching the vehicle characteristic attribute with the vehicle type database, obtaining the driver preference attribute and the consumption capability level of the rear vehicle, and carrying out targeted advertisement delivery according to the driver attribute, the driver preference attribute, the driver consumption capability attribute and the label advertisement material. The method realizes the targeted advertisement delivery, enlarges the influence of the advertisement, stimulates the consumption demand of consumers, improves the conversion rate of advertisement delivery to purchase, and can help advertisers to carry out targeted advertisement delivery more efficiently.
Description
Technical Field
The invention relates to the technical field of advertisement putting, in particular to a taxi advertisement directional putting method and system based on image processing.
Background
With the diversified development of outdoor advertising forms, outdoor advertising enables more and more applicable scenes, and taxi projection and LED screen advertising are gradually increased.
Currently, in the prior art, if each advertiser wants to expand the influence of its advertisement and improve the purchasing power of the advertisement goods, the advertisement of each advertiser is continuously and circularly played through the time interval of purchasing the advertisement on the taxi.
However, the continuous and cyclic playing mode of the advertisement has many disadvantages:
(1) the advertisement can not be directionally put, and when the advertisement is put in the crowd with insufficient consumption capacity or no consumption desire, the influence of the advertisement is insufficient;
(2) the consumption demand of the consumers cannot be stimulated, and the conversion rate from advertisement putting to purchasing is low.
Disclosure of Invention
In order to solve the technical problems that the targeted advertisement delivery can not be delivered, the influence is low and the conversion rate is low in the prior art, the invention provides the targeted advertisement delivery method for the taxi based on the image processing.
The invention provides a taxi advertisement targeted delivery method based on image processing, which comprises the following steps:
s1: classifying and labeling the advertisement materials to be launched of the taxi to obtain different labeled advertisement materials;
s2: acquiring videos of rear vehicles in the running process of a taxi in real time, and performing frame processing on the videos of the rear vehicles to obtain a picture set;
s3: identifying the picture set to obtain the driver attribute and the vehicle characteristic attribute of the rear vehicle;
s4: matching the driver attribute with a face database to determine the driver preference attribute of the rear vehicle;
s5: matching the vehicle characteristic attribute with a vehicle type database, and determining a driver consumption capability attribute of the rear vehicle;
s6: and determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material, and performing targeted advertisement delivery based on the target label advertisement material.
The taxi advertisement targeted delivery method includes, in the step S1, specifically:
s11: identifying the advertisement content of the advertisement material to be delivered, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
s12: determining the price of the commodity in the advertisement material to be launched according to the advertisement content;
s13: classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
s14: and adding labels to the classification result of the step S13 according to the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
The method for targeted delivery of taxi advertisements comprises the step S3, wherein the driver attributes include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
The taxi advertisement targeted delivery method includes, in the step S4, specifically:
s41: constructing a face database, wherein the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
s42: matching the driver face attribute with the face database to determine a driver face ID of the rear vehicle;
s43: querying a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
The taxi advertisement targeted delivery method includes, in the step S5, specifically:
s51: constructing a vehicle database, wherein the vehicle type database comprises vehicle types, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle types;
s52: matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
s53: and determining the consumption capability attribute of the driver of the rear vehicle according to the new official price attribute and the second-hand vehicle price attribute of the rear vehicle.
The invention also provides a taxi advertisement targeted delivery system based on image processing, which comprises:
the classification label unit is used for classifying and labeling the advertisement materials to be launched of the taxi to obtain different label advertisement materials;
the image acquisition unit is used for acquiring videos of rear vehicles in the running process of the taxi in real time and performing framing processing on the videos of the rear vehicles to obtain a picture set;
the image processing unit is used for identifying the picture set and obtaining the driver attribute and the vehicle characteristic attribute of the rear vehicle;
the preference attribute matching unit is used for matching the driver attribute with a face database and determining the driver preference attribute of the rear vehicle;
the consumption capability attribute matching unit is used for matching the vehicle characteristic attribute with a vehicle type database and determining the consumption capability attribute of the driver of the rear vehicle;
and the targeted delivery unit is used for determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material and performing targeted delivery of the advertisement based on the target label advertisement material.
The taxi advertisement targeted delivery system described above, wherein the classification tag unit specifically includes:
the identification module is used for identifying the advertisement content of the advertisement material to be launched, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
the commodity price determining module is used for determining the commodity price in the advertisement material to be launched according to the advertisement content;
the commodity classification module is used for classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
and the label module is used for adding labels to the classification result of the commodity classification module by combining the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
The taxi advertisement targeted delivery system, wherein the attributes of the driver in the image processing unit include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
The taxi advertisement targeted delivery system, wherein the preference attribute matching unit specifically includes:
the system comprises a face database construction module, a face database management module and a face database management module, wherein the face database construction module is used for constructing a face database, and the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
the face ID determining module is used for matching the face attribute of the driver with the face database and determining the face ID of the driver of the rear vehicle;
a preference attribute query module configured to query a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
In the taxi advertisement targeted delivery system, the consumption capability attribute matching unit specifically includes:
the system comprises a vehicle database construction module, a vehicle database management module and a vehicle database management module, wherein the vehicle database construction module is used for constructing a vehicle database, and the vehicle database comprises vehicle models, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle models;
the price attribute determining module is used for matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
and the consumption capability attribute determining module is used for determining the driver consumption capability attribute of the rear vehicle according to the new official price attribute and the used vehicle price attribute of the rear vehicle.
The invention has the technical effects or advantages that:
the invention provides a taxi advertisement targeted delivery method based on image processing, which is characterized in that classified labels are carried out on advertisement materials to be delivered of a taxi to obtain different label advertisement materials; acquiring videos of rear vehicles in the running process of a taxi in real time, and performing framing processing on the videos to obtain a picture set; identifying a picture set, obtaining the driver attribute and the vehicle characteristic attribute of a rear vehicle, matching the driver attribute with a face database, matching the vehicle characteristic attribute with a vehicle model database, obtaining the driver preference attribute and the consumption capacity level of the rear vehicle, determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption capacity attribute and the label advertisement material, and performing targeted advertisement based on the target label advertisement material. By the method, the corresponding advertisements are delivered based on the consumption preference and the consumption capacity of the driver of the rear vehicle, the targeted delivery of the advertisements is realized, the influence of the advertisements is enlarged, the consumption demand of consumers is stimulated, the conversion rate of the delivery of the advertisements to the purchase is improved, and the targeted advertisement delivery can be carried out more efficiently by an advertiser.
Drawings
Fig. 1 is a flowchart of a taxi advertisement targeted delivery method based on image processing according to an embodiment of the present invention;
FIG. 2 is a flowchart of step S1 according to an embodiment of the present invention;
FIG. 3 is a flowchart of step S4 according to an embodiment of the present invention;
FIG. 4 is a flowchart of step S5 according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a taxi advertisement targeted delivery system based on image processing according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another. Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict. Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
In order to solve the technical problems that the targeted advertisement delivery can not be delivered, the influence is low and the conversion rate is low in the prior art, the invention provides the targeted advertisement delivery method for the taxi based on the image processing.
The technical solution of the present invention will be described in detail below with reference to the specific embodiments and the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart of a taxi advertisement targeted delivery method based on image processing according to an embodiment of the present invention. The taxi advertisement targeted delivery method based on image processing provided by the embodiment comprises the following steps:
s1: classifying and labeling the advertisement materials to be launched of the taxi to obtain different labeled advertisement materials;
in an embodiment of the present invention, referring to fig. 2, in step S1, the method specifically includes:
s11: identifying the advertisement content of the advertisement material to be delivered, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
s12: determining the price of the commodity in the advertisement material to be launched according to the advertisement content;
s13: classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
s14: and adding labels to the classification result of the step S13 according to the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
In specific application, the advertisement content in the advertisement material to be delivered can be identified through logo identification technology, character identification technology and the like. In this embodiment, the consumption attribute refers to the consumption ability of the crowd, and the consumption ability of the crowd may be divided according to the average payroll level and consumption level of the advertisement delivery site, and may be divided into a leaner and leaner class, a white collar class, a well-being class, a midwife class, a luxury class, and a super luxury class. For example, through an identification technology, the advertisement content in a certain advertisement material to be placed is identified, wherein the advertiser is a great wall, the product name is a commercial automobile, the brand name is Harvard, the product characteristics comprise 7 seats, the price of the product is determined to be 20-30 ten thousand according to the advertisement content, the product is classified into the automobile advertisement material of 20-30 ten thousand according to the advertisement content and the price of the product, and the label of a 20-30-year-old male group and a midge-class group is added to the automobile advertisement material.
S2: acquiring videos of rear vehicles in the running process of a taxi in real time, and performing frame processing on the videos of the rear vehicles to obtain a picture set;
in the embodiment of the invention, the video of the rear vehicle in the running process of the taxi is acquired through the built-in camera of the taxi.
S3: identifying the picture set to obtain the driver attribute and the vehicle characteristic attribute of the rear vehicle;
in an embodiment of the present invention, the driver attributes in step S3 include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
In specific application, the face attribute of a driver in each picture in a picture set, namely the face feature of the driver, is captured through a face recognition technology, and the gender attribute and the age attribute of the driver are judged according to the face feature of the driver. And identifying the logo attribute, the headlight attribute, the width attribute and the contour attribute of the vehicle in the picture by using an image identification technology, namely the brand of the vehicle, the shape and the size of the headlight and the width of the vehicle, namely the contour shape of the vehicle.
S4: matching the driver attribute with a face database to determine the driver preference attribute of the rear vehicle;
in an embodiment of the present invention, referring to fig. 3, the step S4 specifically includes:
s41: constructing a face database, wherein the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
s42: matching the driver face attribute with the face database to determine a driver face ID of the rear vehicle;
s43: querying a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
In a particular application, the face ID is unique, and the preference attribute refers to which type of product is primarily preferred for consumption. For example, if the driver of the rear vehicle prefers the commodity of the cosmetics category, the commodity of the cosmetics category is directed to the driver according to the preference attribute.
S5: matching the vehicle characteristic attribute with a vehicle type database, and determining a driver consumption capability attribute of the rear vehicle;
in this embodiment, referring to fig. 4, the step S5 specifically includes:
s51: constructing a vehicle database, wherein the vehicle type database comprises vehicle types, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle types;
s52: matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
s53: and determining the consumption capability attribute of the driver of the rear vehicle according to the new official price attribute and the second-hand vehicle price attribute of the rear vehicle.
In a specific application, in step S53, after the new official price attribute and the used vehicle price attribute are averaged, the current price of the rear vehicle may be determined, and the consumption capability attribute of the driver of the rear vehicle, that is, which rank the consumption capability of the driver of the rear vehicle belongs to, may be determined according to the current price of the rear vehicle.
S6: and determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material, and performing targeted advertisement delivery based on the target label advertisement material.
In an embodiment of the present invention, the targeted delivery of the tag advertising material is based on the class, preference attribute, gender, and age of the driver of the rear vehicle. For example, if the driver of the rear vehicle is 20-30 years old, the gender is male, the preference attribute is car type goods, and the consumption ability attribute is middle-school, then the tag advertisement material of the car type goods belonging to the 20-30 years old male and being the tag of the crowd in the middle-school is targeted to be put on the rear vehicle.
According to the taxi advertisement targeted delivery method based on image processing, the corresponding advertisement is delivered based on the consumption preference and the consumption capability of the driver of the rear vehicle, the targeted delivery of the advertisement is realized, the influence of the advertisement is enlarged, the consumption demand of consumers is stimulated, the conversion rate of advertisement delivery to purchase is improved, and an advertiser can be helped to deliver the targeted advertisement more efficiently.
The embodiment further provides a taxi advertisement targeted delivery system based on image processing, and with reference to fig. 5, the system includes:
the classification label unit is used for classifying and labeling the advertisement materials to be launched of the taxi to obtain different label advertisement materials;
the image acquisition unit is used for acquiring videos of rear vehicles in the running process of the taxi in real time and performing framing processing on the videos of the rear vehicles to obtain a picture set;
the image processing unit is used for identifying the picture set and obtaining the driver attribute and the vehicle characteristic attribute of the rear vehicle;
the preference attribute matching unit is used for matching the driver attribute with a face database and determining the driver preference attribute of the rear vehicle;
the consumption capability attribute matching unit is used for matching the vehicle characteristic attribute with a vehicle type database and determining the consumption capability attribute of the driver of the rear vehicle;
and the targeted delivery unit is used for determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material and performing targeted delivery of the advertisement based on the target label advertisement material.
In an embodiment of the present invention, the classification label unit specifically includes:
the identification module is used for identifying the advertisement content of the advertisement material to be launched, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
the commodity price determining module is used for determining the commodity price in the advertisement material to be launched according to the advertisement content;
the commodity classification module is used for classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
and the label module is used for adding labels to the classification result of the commodity classification module by combining the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
In an embodiment of the present invention, the driver attributes in the image processing unit include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
In this embodiment of the present invention, the preference attribute matching unit specifically includes:
the system comprises a face database construction module, a face database management module and a face database management module, wherein the face database construction module is used for constructing a face database, and the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
the face ID determining module is used for matching the face attribute of the driver with the face database and determining the face ID of the driver of the rear vehicle;
a preference attribute query module configured to query a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
In an embodiment of the present invention, the consuming capability attribute matching unit specifically includes:
the system comprises a vehicle database construction module, a vehicle database management module and a vehicle database management module, wherein the vehicle database construction module is used for constructing a vehicle database, and the vehicle database comprises vehicle models, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle models;
the price attribute determining module is used for matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
and the consumption capability attribute determining module is used for determining the driver consumption capability attribute of the rear vehicle according to the new official price attribute and the used vehicle price attribute of the rear vehicle.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A taxi advertisement targeted delivery method based on image processing is characterized by comprising the following steps:
s1: classifying and labeling the advertisement materials to be launched of the taxi to obtain different labeled advertisement materials;
s2: acquiring videos of rear vehicles in the running process of a taxi in real time, and performing frame processing on the videos of the rear vehicles to obtain a picture set;
s3: identifying the picture set to obtain the driver attribute and the vehicle characteristic attribute of the rear vehicle;
s4: matching the driver attribute with a face database to determine the driver preference attribute of the rear vehicle;
s5: matching the vehicle characteristic attribute with a vehicle type database, and determining a driver consumption capability attribute of the rear vehicle;
s6: and determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material, and performing targeted advertisement delivery based on the target label advertisement material.
2. The image processing-based targeted advertising method for taxi advertisements according to claim 1, wherein the step S1 specifically includes:
s11: identifying the advertisement content of the advertisement material to be delivered, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
s12: determining the price of the commodity in the advertisement material to be launched according to the advertisement content;
s13: classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
s14: and adding labels to the classification result of the step S13 according to the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
3. The image processing-based targeted advertising method for taxi advertisements according to claim 1, wherein the driver attributes in the step S3 include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
4. The image-processing-based targeted advertising method for taxi advertisements as claimed in claim 3, wherein the step S4 specifically comprises:
s41: constructing a face database, wherein the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
s42: matching the driver face attribute with the face database to determine a driver face ID of the rear vehicle;
s43: querying a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
5. The image-processing-based targeted advertising method for taxi advertisements according to claim 4, wherein the step S5 specifically comprises:
s51: constructing a vehicle database, wherein the vehicle type database comprises vehicle types, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle types;
s52: matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
s53: and determining the consumption capability attribute of the driver of the rear vehicle according to the new official price attribute and the second-hand vehicle price attribute of the rear vehicle.
6. A taxi advertisement targeted delivery system based on image processing is characterized by comprising:
the classification label unit is used for classifying and labeling the advertisement materials to be launched of the taxi to obtain different label advertisement materials;
the image acquisition unit is used for acquiring videos of rear vehicles in the running process of the taxi in real time and performing framing processing on the videos of the rear vehicles to obtain a picture set;
the image processing unit is used for identifying the picture set and obtaining the driver attribute and the vehicle characteristic attribute of the rear vehicle;
the preference attribute matching unit is used for matching the driver attribute with a face database and determining the driver preference attribute of the rear vehicle;
the consumption capability attribute matching unit is used for matching the vehicle characteristic attribute with a vehicle type database and determining the consumption capability attribute of the driver of the rear vehicle;
and the targeted delivery unit is used for determining a target label advertisement material according to the driver attribute, the driver preference attribute, the driver consumption ability attribute and the label advertisement material and performing targeted delivery of the advertisement based on the target label advertisement material.
7. The image processing-based taxi advertisement targeted delivery system according to claim 6, wherein the classification label unit specifically comprises:
the identification module is used for identifying the advertisement content of the advertisement material to be launched, wherein the advertisement content comprises an advertiser, a trade name, a brand name and a commodity characteristic;
the commodity price determining module is used for determining the commodity price in the advertisement material to be launched according to the advertisement content;
the commodity classification module is used for classifying commodities in the advertisement material to be launched based on the advertisement content and the commodity price;
and the label module is used for adding labels to the classification result of the commodity classification module by combining the gender attribute, the age attribute and the consumption capability attribute to obtain different label advertisement materials.
8. The image processing-based taxi advertising targeted delivery system according to claim 6, wherein the driver attributes in the image processing unit include:
a driver face attribute, a driver gender attribute, and a driver age attribute;
the vehicle characteristic attributes include:
logo attributes, car light attributes, width attributes, and contour attributes.
9. The image processing-based taxi advertisement targeted delivery system according to claim 8, wherein the preference attribute matching unit specifically comprises:
the system comprises a face database construction module, a face database management module and a face database management module, wherein the face database construction module is used for constructing a face database, and the face database comprises a face attribute, a face ID corresponding to the face attribute and a preference attribute corresponding to the face ID;
the face ID determining module is used for matching the face attribute of the driver with the face database and determining the face ID of the driver of the rear vehicle;
a preference attribute query module configured to query a driver preference attribute of the rear vehicle corresponding to the driver face ID based on the driver face ID.
10. The image processing-based taxi advertisement targeted delivery system according to claim 9, wherein the consumption capability attribute matching unit specifically comprises:
the system comprises a vehicle database construction module, a vehicle database management module and a vehicle database management module, wherein the vehicle database construction module is used for constructing a vehicle database, and the vehicle database comprises vehicle models, and vehicle characteristic attributes, new vehicle official price attributes and second-hand vehicle price attributes corresponding to the vehicle models;
the price attribute determining module is used for matching the vehicle characteristic attribute of the rear vehicle with the vehicle type database, determining the vehicle model of the rear vehicle, and determining the new official price attribute and the second-hand vehicle price attribute of the rear vehicle based on the vehicle model of the rear vehicle;
and the consumption capability attribute determining module is used for determining the driver consumption capability attribute of the rear vehicle according to the new official price attribute and the used vehicle price attribute of the rear vehicle.
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| CN202010959898.0A CN112116384A (en) | 2020-09-14 | 2020-09-14 | Taxi advertisement targeted delivery method and system based on image processing |
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| CN202010959898.0A CN112116384A (en) | 2020-09-14 | 2020-09-14 | Taxi advertisement targeted delivery method and system based on image processing |
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