CN111062752A - Elevator scene advertisement putting method and system based on audience group - Google Patents
Elevator scene advertisement putting method and system based on audience group Download PDFInfo
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Abstract
The invention relates to an elevator scene advertisement putting method and system based on audience groups, wherein the putting method comprises the following steps: a. acquiring an image in an elevator, and then acquiring a human body screenshot of a person taking the elevator in the elevator; b. according to the human body screenshot, performing attribute analysis on the elevator taking personnel; c. confirming the advertisement playing type and playing a preset advertisement according to the attributes of elevator taking personnel; d. accumulating the attributes of elevator-taking personnel who watch the advertisement according to the type of the played advertisement, and completing audience and crowd analysis of the type of the advertisement; e. and performing cluster analysis on audience crowd attributes of different types accumulated in the elevator, updating the advertisement playing rules, and playing the advertisement according to the advertisement playing rules. According to the method, whether the elevator taking personnel watch the advertisement is judged through the image information, and the accuracy of advertisement putting is guided by combining a plurality of elevators and counting the human body attribute characteristics of the watching personnel (audience groups) of the specific type of advertisement for a long time.
Description
Technical Field
The invention relates to the field of computer vision and the field of advertisement recommendation, in particular to an elevator scene advertisement putting method and an elevator scene advertisement putting system based on audience groups.
Background
An elevator as a current socially important vehicle is always a key scene for advertisement putting due to the frequency of use and the tightness of the environment. The traditional putting method at present is to post advertisement posters and electronic screen carousel advertisements; or targeted delivery of specific advertisements by gender or age. However, this method has two disadvantages:
(1) the mode of randomly playing advertisements cannot ensure that audiences and crowds playing the advertisements each time conform to the advertisement content;
(2) the specific advertisement is put according to gender and age, and the way of putting the prior information is completely based on the supervisor, for example, young women only put the fashion cosmetic advertisement, so that the audience population of the advertisement is reduced to a great extent.
With the development of artificial intelligence technology, more and more technicians begin to improve the efficiency and accuracy of advertisement delivery based on monitoring images.
The prior art is as follows: CN 201810973909-elevator advertisement switching method and related products. According to the invention, the face information is obtained through the image, the category of the historical advertisement browsing information is obtained through communication with the smart phone, and the advertisement corresponding to the category is extracted to be played, so that the accurate advertisement putting is realized.
The invention has obvious disadvantages:
because of the problems of light, camera view angle, camera resolution and the like in the elevator, the face information or clear face information can not be acquired for everyone only by depending on images;
interaction with a mobile phone of a user is needed, efficiency is low in a short elevator taking time, and privacy of elevator taking personnel is involved.
Disclosure of Invention
The invention aims to solve the problems and provides an elevator scene advertisement putting method and an elevator scene advertisement putting system based on audience groups.
In order to achieve the purpose, the invention provides an elevator scene advertisement putting method based on audience groups, which comprises the following steps:
a. acquiring an image in an elevator, and then acquiring a human body screenshot of a person taking the elevator in the elevator;
b. according to the human body screenshot, performing attribute analysis on the elevator taking personnel;
c. confirming the advertisement playing type and playing a preset advertisement according to the attributes of elevator taking personnel;
d. accumulating the attributes of elevator-taking personnel who watch the advertisement according to the type of the played advertisement, and completing audience and crowd analysis of the type of the advertisement;
e. and performing cluster analysis on audience crowd attributes of different types accumulated in the elevator, updating the advertisement playing rules, and playing the advertisement according to the advertisement playing rules.
According to one aspect of the invention, in the b step, the attribute analysis includes face orientation analysis, gender and age analysis and dress analysis.
According to one aspect of the invention, the face analysis uses a resnet18 network with outputs fc (N), N ═ 1, and sigmoid is used as an activation function to normalize the outputs to 0-1; a threshold O is then used for the 0-1 outputtJudged to be greater than OtRepresenting a face facing the advertisement being played;
wherein fc (N) represents a full connection layer, N is the number of output units, and N ═ 1 represents that the number of output units is 1; o ist＝0.53。
According to one aspect of the invention, the gender age analysis uses a resnet18 network, the output is fc (8), the total output units are 8, the 1 st gender judgment unit uses a sigmoid activation function to judge the threshold Oa0.5; items 2 to 8 are age determination units using softmax as an activation function, and the maximum value is locatedThe location is the corresponding age group.
According to one aspect of the invention, the age group is divided into 7 age groups of 0-6 years old young children, 6-12 years old children, 12-18 years old young children, 18-25 years old young children, 25-30 years old young children, 35-50 years old children, older adults over 50 years old.
According to one aspect of the invention, the apparel analysis uses the resnet18 network with the output fc (6);
wherein, the 1 st is the clothing score, and the clothing score value of 1-7 points is output;
of which 2 to 6 are of a fashion style.
According to one aspect of the invention, in the step e, every other period, the cloud server performs cluster analysis on audience crowd attributes of different types of advertisements accumulated by all the accessed elevators to obtain high-frequency attributes of the audience crowds of the different types of advertisements, and then sends the attributes as new advertisement playing rules to each elevator for playing.
In order to achieve the above object, the present invention further provides a delivery system for implementing the elevator scene advertisement delivery method based on audience groups, including:
the video acquisition module is used for acquiring images in the elevator;
the front-end equipment is used for intercepting and analyzing the image and delivering advertisements based on the analysis result;
and the cloud server is used for receiving the image sent by the front-end equipment and analyzing the attribute information of the image.
According to an aspect of the invention, the front-end apparatus comprises:
the computing unit is used for receiving the image acquired by the video acquisition module and acquiring the face orientation of the elevator taking personnel;
the playing unit is used for playing the corresponding advertisement;
and the storage unit is used for storing the advertisement information, regularly communicating with the cloud end and updating the local advertisement storage.
According to one aspect of the invention, the camera used for collecting the images in the video collecting unit is oriented in the same direction as the playing unit used for playing the advertisements in the front-end equipment.
According to the method and the system, whether the elevator passengers watch the advertisement is judged through the image information, and the accuracy of advertisement putting is guided by combining a plurality of elevators and counting the human body attribute characteristics of the viewers (audience groups) of the specific type of advertisement for a long time. Furthermore, the invention only needs to obtain the image information of the elevator passengers, analyze the attribute characteristics of the passengers watching the advertisements, analyze the attribute characteristics of the audiences and crowds of different types of advertisements, and regularly update the advertisement playing rules, thereby achieving the accurate recommendation of personalized advertisements.
Drawings
Fig. 1 schematically shows a flow chart of an audience segment based elevator scenario advertisement delivery method according to the present invention;
fig. 2 schematically shows a composition diagram of a delivery system according to the invention implementing the above-described delivery method.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
In describing embodiments of the present invention, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship that is based on the orientation or positional relationship shown in the associated drawings, which is for convenience and simplicity of description only, and does not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, the above-described terms should not be construed as limiting the present invention.
The present invention is described in detail below with reference to the drawings and the specific embodiments, which are not repeated herein, but the embodiments of the present invention are not limited to the following embodiments.
Fig. 1 schematically shows a flow chart of an audience segment based elevator scenario advertisement delivery method according to the present invention. As shown in fig. 1, the method for delivering an advertisement to an elevator scene based on audience groups according to the present invention includes the following steps:
a. acquiring an image in an elevator, and then acquiring a human body screenshot of a person taking the elevator in the elevator;
b. according to the human body screenshot, performing attribute analysis on the elevator taking personnel;
c. confirming the advertisement playing type and playing a preset advertisement according to the attributes of elevator taking personnel;
d. according to the type of the played advertisement, accumulating the attributes of the elevator taking personnel watching the advertisement, and completing the audience and crowd analysis of the advertisement type
e. And performing cluster analysis on audience crowd attributes of different types accumulated in the elevator, updating the advertisement playing rules, and playing the advertisement according to the advertisement playing rules.
According to an embodiment of the present invention, in the step a, the video stream is decoded into image information, and the captured and transmitted video stream information is decoded into RGB image information. The human body screenshot information acquisition refers to human body detection in RGB image information, the detection method comprises but is not limited to general yolo3, maskrnn, resnet and other detection networks, due to the uniqueness of an elevator scene and the consideration of calculation efficiency, all the networks of the invention adopt resnet18, and the structure of the network is shown in the following table 1:
TABLE 1
Where fc (N) represents the full connection layer, and N is the number of output units.
According to an embodiment of the present invention, in the step b, the attribute analysis includes face orientation analysis, gender and age analysis, and clothing analysis. The analysis processes are calculated in a cloud server, and the human body screenshots are used as input.
The face analysis uses a resnet18 network, the output is FC (N), N is 1, sigmoid is used as an activation function, and the output is normalized to be 0-1; a threshold O is then used for the 0-1 outputtJudged to be greater than OtNamely, the face is shown facing the advertisement playing unit, namely, the person is shown watching the advertisement; as described above, fc (N) indicates a full connection layer, N is the number of output units, and N ═ 1 indicates that the number of output units is 1; o ist＝0.53。
The gender and age analysis uses a resnet18 network, the output is fc (8), 8 output units are counted, the 1 st is a gender judgment unit, a sigmoid activation function is used, and a judgment threshold O is obtaineda0.5; items 2 to 8 are age determination units, and the position of the maximum value is the corresponding age group using softmax as the activation function. In the present embodiment, the age groups are divided into 7 age groups of 0 to 6 years old children, 6 to 12 years old children, 12 to 18 years old juveniles, 18 to 25 years old young children, 25 to 30 years old young children, 35 to 50 years old children, and older adults over 50 years old.
The dress analysis uses a resnet18 network, and the output is fc (6);
wherein, the 1 st is the clothing score, and the clothing score value of 1-7 points is output;
2 to 6 of the costume styles are casual, sports, fashionable, business and uniform (uniform such as work uniform, school uniform and the like).
Of course, in practical application, the attribute analysis is not limited to the above three analysis parts, and the invention is only exemplified by the above three attributes, and in practical application, the invention may also include attributes such as personnel category, clothing category (shirt, one-piece dress, etc.).
According to an embodiment of the present invention, the confirming of the advertisement broadcasting type means that the advertisement broadcasting type is confirmed according to the obtained attribute of the elevator-taking person and the advertisement broadcasting rule which is periodically updated from the server, for example: if the elevator riding personnel are female and 18-25 years old and wear the elevator fashionably, the elevator plays beauty advertisements and the like.
Playing the preset advertisement means that the advertisement of the corresponding type is selected from the advertisement data stored locally to be played according to the type of the obtained advertisement.
According to one embodiment of the invention, audience and crowd analysis means that for the advertisement types, the attributes of the crowd watching the advertisement types are accumulated and accumulated; such as { beauty advertisement, male, 25-35 years old, clothing score 5.8, apparel style business }.
In the embodiment, every month, the cloud server performs cluster analysis on the audience crowd attributes of different types of advertisements accumulated by all the accessed elevators to obtain the high-frequency attributes of the audience crowd of the different types of advertisements, and then sends the attributes to each elevator to play as new advertisement playing rules.
Fig. 2 schematically shows a composition diagram of a delivery system according to the invention implementing the above-described delivery method. As shown in fig. 2, the delivery system according to the present invention includes a video capture module, a front-end device, and a cloud server. In this embodiment, the video capture module refers to a device capable of acquiring video stream data and image information in an elevator, and includes, but is not limited to, a surveillance camera, a camera integrated in a front-end device, and the like. The system is used for collecting the information in the current car and transmitting the data to the next module for processing. The data transmission includes but is not limited to network cable, WIFI, Bluetooth and the like.
In the present invention, in order to ensure the accuracy of the face orientation, it is required that the relative orientation of the camera towards the front end display device is known and the included angle is a right angle.
According to one embodiment of the present invention, a front-end apparatus comprises:
the computing unit is used for receiving the image acquired by the video acquisition module and acquiring the face orientation of the elevator taking personnel;
the playing unit is used for playing the corresponding advertisement;
and the storage unit is used for storing the advertisement information, regularly communicating with the cloud end and updating the local advertisement storage.
In this embodiment, the cloud server is mainly used for receiving the human body screenshot data sent by the front-end device, analyzing the attribute information and the like of the human body screenshot data, and the front-end device communicates with the front-end device in real time. The communication method includes, but is not limited to, network cable, 4G/5G network, etc.
According to the method and the system, whether the elevator passengers watch the advertisement is judged through the image information, and the accuracy of advertisement putting is guided by combining a plurality of elevators and counting the human body attribute characteristics of the viewers (audience groups) of the specific type of advertisement for a long time. Furthermore, the invention only needs to obtain the image information of the elevator passengers, analyze the attribute characteristics of the passengers watching the advertisements, analyze the attribute characteristics of the audiences and crowds of different types of advertisements, and regularly update the advertisement playing rules, thereby achieving the accurate recommendation of personalized advertisements.
The foregoing is merely exemplary of particular aspects of the present invention and devices and structures not specifically described herein are understood to be those of ordinary skill in the art and are intended to be implemented in such conventional ways.
The above description is only one embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made 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. An elevator scene advertisement putting method based on audience groups comprises the following steps:
a. acquiring an image in an elevator, and then acquiring a human body screenshot of a person taking the elevator in the elevator;
b. according to the human body screenshot, performing attribute analysis on the elevator taking personnel;
c. confirming the advertisement playing type and playing a preset advertisement according to the attributes of elevator taking personnel;
d. accumulating the attributes of elevator-taking personnel who watch the advertisement according to the type of the played advertisement, and completing audience and crowd analysis of the type of the advertisement;
e. and performing cluster analysis on audience crowd attributes of different types accumulated in the elevator, updating the advertisement playing rules, and playing the advertisement according to the advertisement playing rules.
2. The audience segment-based elevator scene advertisement delivery method according to claim 1, wherein in the step b, the attribute analysis comprises face orientation analysis, gender and age analysis and clothing analysis.
3. The audience segment-based elevator scene advertisement delivery method according to claim 2, wherein the face analysis uses a renet 18 network, the output is fc (N), N ═ 1, sigmoid is used as an activation function, and the output is normalized to 0-1; a threshold O is then used for the 0-1 outputtJudged to be greater than OtRepresenting a face facing the advertisement being played;
wherein fc (N) represents a full connection layer, N is the number of output units, and N ═ 1 represents that the number of output units is 1; o ist＝0.53。
4. The audience population-based elevator scene advertisement delivery method according to claim 2, wherein the gender and age analysis uses a resnet18 network, the output is fc (8), 8 output units are counted, the 1 st is a gender judgment unit, and a sigmoid activation function is used to judge the threshold Oa0.5; items 2 to 8 are age determination units, and the position of the maximum value is the corresponding age group using softmax as the activation function.
5. The audience segment-based elevator scene advertising method of claim 4, wherein the age segments are divided into 7 age segments in total, namely, children 0-6 years old, children 6-12 years old, teenagers 12-18 years old, young adults 18-25 years old, young adults 25-30 years old, middle-aged adults 35-50 years old, and old people over 50 years old.
6. The audience segment-based elevator scenario advertisement delivery method of claim 2, wherein the clothing analysis uses a resnet18 network, with output fc (6);
wherein, the 1 st is the clothing score, and the clothing score value of 1-7 points is output;
of which 2 to 6 are of a fashion style.
7. The elevator scene advertisement putting method based on audience groups according to any one of claims 1 to 6, wherein in the step e, every other period, the cloud server performs cluster analysis on the audience group attributes of different types of advertisements accumulated by all accessed elevators to obtain high-frequency attributes of the audience groups of the different types of advertisements, and then sends the attributes to each elevator as new advertisement playing rules to play.
8. A delivery system for implementing the audience segment-based elevator scenario advertisement delivery method of any one of claims 1 to 7, comprising:
the video acquisition module is used for acquiring images in the elevator;
the front-end equipment is used for intercepting and analyzing the image and delivering advertisements based on the analysis result;
and the cloud server is used for receiving the image sent by the front-end equipment and analyzing the attribute information of the image.
9. The delivery system of claim 8, wherein the head-end device comprises:
the computing unit is used for receiving the image acquired by the video acquisition module and acquiring the face orientation of the elevator taking personnel;
the playing unit is used for playing the corresponding advertisement;
and the storage unit is used for storing the advertisement information, regularly communicating with the cloud end and updating the local advertisement storage.
10. The delivery system of claim 8, wherein the camera of the video capture unit for capturing images is oriented in the same direction as the display unit of the front-end device for displaying advertisements.
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| CN111724199A (en) * | 2020-05-30 | 2020-09-29 | 同济大学 | Intelligent community advertisement accurate delivery method and device based on pedestrian active perception |
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| CN113657933A (en) * | 2021-08-16 | 2021-11-16 | 浙江新再灵科技股份有限公司 | Preparation method of elevator advertisement recommendation data |
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Application publication date: 20200424 |