KR20240018734A - Behavioral data ai analysis outdoor advertising method and system - Google Patents

Abstract

The present invention relates to a behavioral data AI analysis outdoor advertising method and system, and the behavioral data AI analysis outdoor advertising system according to the present invention is based on the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the mobile device. A Wi-Fi-Bluetooth sensor 110 that collects and transmits the MAC address of the device, a CCTV camera 120 that generates video data of the pedestrian, and an advertising display 130 that displays advertisements. Outdoor advertising device (100); A WiFi-Bluetooth sensor analysis unit 210 that receives and analyzes the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device, and photographs the pedestrian. It is configured to include an image data AI analysis unit 220 that receives and analyzes image data, and uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the image data AI analysis unit 220 to identify the pedestrian. A data analysis server 200 that generates statistical analysis data including the direction of travel and speed of travel; and an advertisement control server 300 including an advertisement management unit 310 that controls advertisements displayed on the advertisement display 130 using the statistical analysis data.

Description

Behavioral data AI analysis outdoor advertising method and system {BEHAVIORAL DATA AI ANALYSIS OUTDOOR ADVERTISING METHOD AND SYSTEM}

The present invention relates to an outdoor advertising method and system for AI analysis of behavioral data. More specifically, the present invention relates to an outdoor advertising method and system for analyzing behavioral data AI, and more specifically, collects surrounding images and sensor data when transmitting an outdoor advertisement to analyze advertising effects such as the floating population at the time of advertising transmission and the advertising inflow rate. It is about a behavioral data AI analysis outdoor advertising method and system that can provide relevant statistical data to advertisers.

Digital signage is an outdoor advertisement using a digital information display (DID), which refers to a billboard that allows the control center to control advertisement content through a communication network.

It is commonly seen in places with a large floating population, such as subway stations, bus stops, apartment elevators, banks, commercial areas, and cultural sites.

In general, digital signage simply provides a service that alternately exposes advertisements in the form of video with sound at different times, or it also provides services through two-way communication with users using touch panel technology.

However, most existing digital signages only provide pre-registered advertisements to an unspecified number of people and fail to provide targeted advertisements tailored to the characteristics of the floating population.

Patent Document 1: Registered Patent Publication No. 10-1796157 (2017.11.15)

The present invention was created to solve the above-mentioned problem. The present invention seeks to provide quantitative advertising performance measurement through customer behavior data AI analysis technology and provide advanced advertising design based on real-time monitoring and behavior data analysis.

In addition, the present invention provides real-time advertising performance reporting according to advertisements through advertising performance measurement, real-time data analysis through analysis based on camera and sensor data installed in outdoor advertising devices, and confirmation of whether advertisements are normally provided and hardware abnormalities. We aim to provide real-time automatic monitoring of status.

In addition, the present invention transmits and provides automatic advertisements tailored to TPO (Time, Place, Occasion) by accumulating data such as floating population, gender, age group, residence time, and advertising inflow rate through advertising automation, and analyzing floating population and advertising inflow rate. Analysis of floating population by age/gender can be used for target advertising, and an automatic advertising solution is provided to analyze the number of effective exposures compared to the floating population and provide automatic advertising transmission suitable for TPO. Real estate/commercial districts, etc. are provided through analysis of city population data. We aim to provide utilization of floating population data and construction of urban population data.

In addition, the present invention quantifies the effect of outdoor advertising through the accumulation of big data, provides various data-based advertising campaigns, provides reports to advertisers based on the analyzed data, uses it for automatic advertising, and provides advertising content. We aim to secure and analyze big data by major commercial districts.

The behavioral data AI analysis outdoor advertising system according to an embodiment of the present invention to solve the above-described problem includes the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device ( An outdoor advertising device ( 100); A WiFi-Bluetooth sensor analysis unit 210 that receives and analyzes the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device, and photographs the pedestrian. It is configured to include an image data AI analysis unit 220 that receives and analyzes image data, and uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the image data AI analysis unit 220 to identify the pedestrian. A data analysis server 200 that generates statistical analysis data including the direction of travel and speed of travel; and an advertisement control server 300 including an advertisement management unit 310 that controls advertisements displayed on the advertisement display 130 using the statistical analysis data.

According to another embodiment of the present invention, the data analysis server 200 uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the video data AI analysis unit 220 to determine the floating population and average stay. Statistical analysis data can be generated including time, effective population, or advertising inflow rate.

According to another embodiment of the present invention, the Wi-Fi-Bluetooth sensor analysis unit 210 calculates the average residence time using the first and last recognized times of the MAC address of the pedestrian's mobile device, and The advertisement inflow rate is calculated using the installed distance and average stay time between the outdoor advertising devices 100, and according to the order and intensity in which the same MAC address is detected in the consecutive outdoor advertising devices 100. Statistical analysis data including the pedestrian's travel direction and speed can be generated.

According to another embodiment of the present invention, the video data AI analysis unit 220 divides the video data captured of the pedestrian into images and performs deep learning analysis for each divided image to identify the pedestrian's information. and convert it into metadata, and compare the metadata between each of the images to determine whether the pedestrian appears continuously. If the pedestrian appears continuously, average stay time, effective resident population, or advertisement inflow rate Statistical analysis data including may be stored in the database, and if pedestrians do not appear continuously, statistical analysis data including the floating population may be stored in the database.

According to another embodiment of the present invention, the advertising control server 300 uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 to recognize the direction of passage of the pedestrian and controls the advertising management unit 310. Through this, it can be controlled to sequentially provide similar or continuous advertisements to the outdoor advertising devices 100 in the direction of traffic.

According to another embodiment of the present invention, the outdoor advertising device 100 further includes a sensor unit 140 that measures temperature and humidity and concentration of fine dust, and the advertising control server 300 measures the measured temperature and humidity. It may further include a sensor data analysis unit 230 that analyzes the correlation between the concentration of fine dust and the statistical analysis data.

According to the present invention, quantitative advertising performance can be measured through customer behavior data AI analysis technology, and advanced advertising design can be provided based on real-time monitoring and behavior data analysis.

In addition, according to the present invention, real-time advertising performance reporting according to advertisements is provided through advertising performance measurement, real-time data analysis is provided through analysis based on camera and sensor data installed in outdoor advertising devices, and confirmation of whether advertisements are normally provided and hardware Abnormalities can be automatically monitored in real time.

In addition, according to the present invention, through advertising automation, data such as floating population, gender, age group, residence time, and advertising inflow rate are accumulated, and automatic advertisements tailored to TPO (Time, Place, Occasion) are transmitted and provided, through analysis of floating population and advertising inflow rate. Analysis of age/gender of floating population by time zone can be used for target advertising, and an automatic advertising solution is provided to analyze the number of effective exposures compared to floating population and automatic advertising transmission suitable for TPO. Real estate/commercial districts are provided through analysis of city population data. It can be used for floating population data and construction of city population data.

Furthermore, according to the present invention, the effect of outdoor advertising is quantified through the accumulation of big data, various data-based advertising campaigns are provided, reports are provided to advertisers based on the analyzed data and utilized for automatic advertising, and advertising content is provided. It is possible to secure and analyze big data by major commercial districts.

Figure 1 is a configuration diagram of a behavioral data AI analysis outdoor advertising system according to an embodiment of the present invention.
Figure 2 is a diagram showing an outdoor advertising device according to an embodiment of the present invention.
Figure 3 is a diagram for explaining an advertisement control server according to an embodiment of the present invention.
Figure 4 is a flowchart illustrating a video deep learning analysis method of a data analysis server according to an embodiment of the present invention.
Figure 5 is a flowchart illustrating an advertisement control method of an advertisement control server according to an embodiment of the present invention.

Since the present invention can be modified in various ways and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all transformations, equivalents, and substitutes included in the spirit and technical scope of the present invention.

However, in describing the embodiments, if it is determined that specific descriptions of related known functions or configurations may unnecessarily obscure the gist of the present invention, detailed descriptions thereof will be omitted. Additionally, the size of each component in the drawings may be exaggerated for explanation and does not mean the actual size.

In addition, throughout the specification, when a component is referred to as "connected" or "connected" to another component, the component may be directly connected or directly connected to the other component, but in particular Unless there is a contrary description, it should be understood that it may be connected or connected through another component in the middle. In addition, throughout the specification, when a part "includes" a certain element, this means that it may further include other elements rather than excluding other elements, unless specifically stated to the contrary.

The present invention relates to an outdoor advertising method and system for AI analysis of behavioral data. More specifically, the present invention relates to an outdoor advertising method and system for analyzing behavioral data AI, and more specifically, collects surrounding images and sensor data when transmitting an outdoor advertisement to analyze advertising effects such as the floating population at the time of advertising transmission and the advertising inflow rate. It is about a behavioral data AI analysis outdoor advertising method and system that can provide relevant statistical data to advertisers.

Figure 1 is a configuration diagram of a behavioral data AI analysis outdoor advertising system according to an embodiment of the present invention, Figure 2 is a diagram showing an outdoor advertising device according to an embodiment of the present invention, and Figure 3 is an example of the present invention. This is a diagram for explaining an advertisement control server according to an embodiment.

From now on, the behavioral data AI analysis outdoor advertising system according to an embodiment of the present invention will be described with reference to FIGS. 1 to 3.

As shown in FIG. 1, the behavioral data AI analysis outdoor advertising system according to an embodiment of the present invention includes an outdoor advertising device 100, a data analysis server 200, and an advertising control server 300.

The outdoor advertising device 100 may be configured to include a WiFi-Bluetooth Sensor (110), a CCTV camera 120, an advertising display 130, and a sensor unit 140.

The WiFi-Bluetooth Sensor (110) collects and transmits the strength of the WiFi or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device.

The CCTV camera 120 generates image data capturing the pedestrian, the advertisement display 130 displays advertisements, and the sensor unit 140 measures temperature and humidity and concentration of fine dust.

In addition, referring to FIG. 2, the outdoor advertising device 100 may have the advertising display 130 installed on the front, an advertising sheet on the rear, and a recycling bin and a garbage bin may be installed on the lower part. .

Meanwhile, the data analysis server 200 periodically uses the data of the Wi-Fi-Bluetooth sensor 110, the data of the sensor unit 140, and the image data captured of the pedestrian to analyze the WiFi for each outdoor advertising device 100. -Brings Bluetooth data and video analysis data and performs data analysis for each signage and advertising video. For example, floating population, average stay time, effective stay population, advertising inflow rate, etc. can be analyzed. Analysis can also be performed by gender/age group, and information on the surrounding environment at a specific time based on information stored for each sensor data. The analysis results can be stored in the database 201 for reference.

To this end, the data analysis server 200 may be configured to include a Wi-Fi-Bluetooth sensor analysis unit 210, an image data AI analysis unit 220, and a sensor data analysis unit 230.

The Wi-Fi-Bluetooth sensor analysis unit 210 receives and analyzes the strength of the Wi-Fi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device.

In addition, the video data AI analysis unit 220 receives and analyzes video data taken of the pedestrian.

At this time, the video data AI analysis unit 220 calculates the average stay time using the first and last recognized times of the MAC address of the pedestrian's mobile device, and determines the average residence time between the outdoor advertising devices 100. The advertisement inflow rate is calculated using the installed distance and average stay time, and the pedestrian's direction and speed are determined according to the order and intensity in which the same MAC address is detected in the consecutive outdoor advertising devices 100. Statistical analysis data containing can be generated.

In addition, the video data AI analysis unit 220 divides the video data captured of the pedestrian into images, performs deep learning analysis for each divided image, identifies the pedestrian's information, and converts it into metadata. Then, the metadata between each of the images is compared to determine whether the pedestrian appears continuously. In the case of a pedestrian appearing continuously, statistical analysis data including average stay time, effective stay population, or advertisement inflow rate is stored in the database. If pedestrians do not appear continuously, statistical analysis data including the floating population can be stored in the database.

That is, the video data AI analysis unit 220 analyzes the strength of the received WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address data of the mobile device to identify the floating population, Calculate resident population, residence time, advertising inflow rate, etc. At this time, the residence time of a specific mobile device can be calculated by the time the first MAC address and the last MAC address recognized in the sensor data are recognized.

Therefore, the data analysis server 200 uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the video data AI analysis unit 220 to generate statistical analysis data including the direction and speed of the pedestrian. can be created.

More specifically, the data analysis server 200 uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the video data AI analysis unit 220 to calculate floating population, average stay time, effective stay population, or Statistical analysis data including advertising inflow rate can be generated.

The data analysis server 200 may store the statistical analysis data generated in this way in the database 201.

Additionally, the sensor data analysis unit 230 may analyze the correlation between the temperature and humidity and concentration of fine dust measured by the sensor unit 140 and the statistical analysis data. For example, the sensor data analysis unit 230 measures the surrounding environment at the time of advertisement transmission using a temperature and humidity sensor, a fine dust measurement sensor, etc., and stores the measured data in the database 201 to be used as reference data for advertisement efficiency data analysis. It can be used as

Meanwhile, the advertising control server 300 can perform the role of controlling advertising in real time based on the main direction of passage of pedestrians and floating population analyzed in real time and the characteristics of the floating population (gender, age group, etc.). Depending on the main direction and speed of traffic, the advertising content of the surrounding outdoor advertising device 100 can be changed or the playback speed can be controlled.

To this end, the advertisement control server 300 may be configured to include an advertisement management unit 310 that controls advertisements displayed on the advertisement display 130 using the statistical analysis data.

To be described in more detail with reference to FIG. 3, the advertising control server 300 uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 to recognize the direction of passage of the pedestrian, and the advertising management unit 310 It can be controlled to sequentially provide similar or continuous advertisements to the outdoor advertising devices 100 in the direction of traffic.

In addition, the advertising control server 300 may further include a member management unit 320, an outdoor advertising device management unit 330, and an advertising statistics indicator providing unit 340.

The member management unit 320 may provide management of advertiser members through the advertising manager terminal 410, and the outdoor advertising device management unit 330 may provide the outdoor advertising device 100 through the outdoor advertising device manager terminal 420. Management can be provided, and the advertising statistics indicator providing unit 340 can receive the statistical analysis data from the database 201 and provide inquiry of advertising statistics indicators through the advertiser terminal 430.

In this way, according to the present invention, quantitative advertising performance can be measured through customer behavior data AI analysis technology, and advanced advertising design can be provided based on real-time monitoring and behavior data analysis.

In addition, according to the present invention, real-time advertising performance reporting according to advertisements is provided through advertising performance measurement, real-time data analysis is provided through analysis based on camera and sensor data installed in outdoor advertising devices, and confirmation of whether advertisements are normally provided and hardware Abnormalities can be automatically monitored in real time.

Figure 4 is a flowchart illustrating a video deep learning analysis method of a data analysis server according to an embodiment of the present invention.

Referring to FIG. 4, the data analysis server according to an embodiment of the present invention divides image data into images in a specific fps unit (S401) and performs image analysis using a deep learning image analysis model (S402).

Afterwards, individual objects in each consecutive image can be recognized through a learned deep learning model to identify gender, age range, gaze information, distance from signage, etc., and can be processed into non-identifiable data to protect personal information. (S403).

In addition, the identified information is converted into metadata and stored (S404), and compared with the metadata of the pedestrian that appeared in the previous image to identify whether it is a continuous pedestrian area (S405). At this time, the similarity is greater than a certain similarity threshold. If it is high, it can be considered as a continuously appearing pedestrian. Similarity and threshold may be calculated differently depending on the situation.

In the case of continuous pedestrians, data such as direction of passage, effective resident population, and advertisement inflow rate can be analyzed by gender/age group (S406).

Additionally, if the pedestrians are not continuous, it can be analyzed using data such as floating population by gender/age group. Information such as received images/videos is not stored separately, and processed non-identified data can be stored in a dedicated database (S407).

Figure 5 is a flowchart illustrating an advertisement control method of an advertisement control server according to an embodiment of the present invention.

The advertising control server according to an embodiment of the present invention recognizes the direction of pedestrian traffic through CCTV cameras and Wi-Fi-Bluetooth sensors (S501), then selects the next outdoor advertising device installed continuously in the direction of traffic (S502), Advertising content can be controlled for each order of outdoor advertising devices, taking pedestrian traffic speed into account (S503).

The controlled advertising content may be similar to the first exposed advertisement or may provide consecutive advertisements to pedestrians (S504). At this time, the content can be changed or the content playback speed can be controlled.

In this way, according to the present invention, data such as floating population, gender, age group, residence time, and advertising inflow rate are accumulated through advertising automation, and automatic advertisements are sent and provided according to TPO (Time, Place, Occasion) to analyze the floating population and advertising inflow rate. Through this, analysis of the age/gender of the floating population by time zone can be used for target advertising, and by providing an automatic advertising solution, analysis of the effective number of exposures compared to the floating population and automatic advertisement transmission suitable for TPO are provided, and real estate/ It can be used for floating population data such as commercial districts and to build city population data.

In addition, according to the present invention, the effect of outdoor advertising is quantified through the accumulation of big data, various data-based advertising campaigns are provided, reports are provided to advertisers based on the analyzed data and utilized for automatic advertising, and advertising content is provided. It is possible to secure and analyze big data by major commercial districts.

In the detailed description of the present invention as described above, specific embodiments have been described. However, various modifications are possible without departing from the scope of the present invention. The technical idea of the present invention should not be limited to the above-described embodiments of the present invention, but should be determined not only by the claims but also by equivalents to the claims.

100: Outdoor advertising device
110: WiFi-Bluetooth Sensor
120: CCTV camera
130: Advertising display
140: sensor unit
200: data analysis server
201: database
210: Wi-Fi-Bluetooth sensor analysis unit
220: Video data AI analysis unit
230: Sensor data analysis unit
300: Advertising control server
310: Advertising management department
320: Membership Management Department
330: Outdoor advertising device management department
340: Advertising statistics index provision unit
400: User terminal
410: Advertising manager terminal
420: Outdoor advertising device manager terminal
430: Advertiser terminal

Claims (6)

A WiFi-Bluetooth sensor 110 that collects and transmits the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device, and video data captured of the pedestrian An outdoor advertising device 100 including a CCTV camera 120 that generates and an advertising display 130 that displays an advertisement;
A WiFi-Bluetooth sensor analysis unit 210 that receives and analyzes the strength of the WiFi signal or Bluetooth signal of the pedestrian's mobile device and the MAC address of the mobile device, and photographs the pedestrian. It is configured to include an image data AI analysis unit 220 that receives and analyzes image data, and uses the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the image data AI analysis unit 220 to identify the pedestrian. A data analysis server 200 that generates statistical analysis data including the direction of travel and speed of travel; and
an advertisement control server 300 including an advertisement management unit 310 that controls advertisements displayed on the advertisement display 130 using the statistical analysis data;
Behavioral data AI analysis outdoor advertising system comprising:
In claim 1,
The data analysis server 200,
An action of generating statistical analysis data including floating population, average stay time, effective stay population, or advertisement inflow rate using the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210 and the video data AI analysis unit 220. Data AI analysis outdoor advertising system.
In claim 2,
The video data AI analysis unit 220,
The average residence time is calculated using the first and last recognized times of the MAC address of the pedestrian's mobile device, and the advertisement inflow rate is calculated using the installed distance and average residence time between the outdoor advertising devices 100. Behavioral data AI that calculates and generates statistical analysis data including the direction and speed of the pedestrian's passage according to the order and intensity in which the same MAC address is detected in the consecutive outdoor advertising devices 100. Analytical outdoor advertising system.
In claim 3,
The video data AI analysis unit 220,
Dividing the video data captured of the pedestrian into images,
Deep learning analysis is performed on each segmented image to identify the pedestrian information and convert it into metadata,
Compare the metadata between each of the images to determine whether the pedestrian appears in succession,
In the case of pedestrians appearing continuously, statistical analysis data including average stay time, effective stay population, or advertisement inflow rate is stored in the database.
A behavioral data AI analysis outdoor advertising system that stores statistical analysis data including floating population in a database when it is not a pedestrian that appears continuously.
In claim 1,
The advertising control server 300,
Recognize the direction of passage of the pedestrian using the results analyzed by the Wi-Fi-Bluetooth sensor analysis unit 210,
A behavioral data AI analysis outdoor advertising system that controls the advertising management unit 310 to sequentially provide similar or continuous advertisements to the outdoor advertising devices 100 in the direction of travel.
In claim 1,
The outdoor advertising device 100,
It further includes a sensor unit 140 that measures temperature and humidity and concentration of fine dust,
The advertising control server 300,
A behavioral data AI analysis outdoor advertising system further comprising a sensor data analysis unit 230 that analyzes the correlation between the measured temperature and humidity and concentration of fine dust and the statistical analysis data.