Digital advertising system

Abstract

A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

1 . (canceled) 
     
     
         2 . A method for selecting digital content to be displayed on a digital display screen, the method comprising:
 identifying a digital display screen;   gathering analytics data associated with one or more viewers of the digital display screen, the analytics data obtained from a sensor that is at least one of included in, proximate to, or communicatively coupled to the digital display screen;   identifying an attribute of the one or more viewers of the digital display screen;   requesting an output to be displayed on the digital display screen from a content information system, the content information system using a trained model to determine an effectiveness of the output to be displayed on the digital display screen based on the identified attribute of the one or more viewers and selecting the output based on the effectiveness of the output for the one or more viewers;   receiving the output to be displayed on the digital display screen from the content information system; and   displaying the output on the digital display screen.   
     
     
         3 . The method of  claim 2  wherein gathering analytics data includes detecting a length of time that the one or more viewers of the digital display screen glances at the digital display screen. 
     
     
         4 . The method of  claim 2 , wherein the sensor is a camera located proximate to the digital display screen. 
     
     
         5 . The method of  claim 2 , further comprising:
 anonymizing the analytics data to create anonymous analytics data.   
     
     
         6 . The method of  claim 2 , wherein the analytics data includes a viewing pattern of the one or more viewers of the digital display screen. 
     
     
         7 . The method of  claim 2 , wherein the analytics data is a demographic characteristic of the one or more viewers of the digital display screen. 
     
     
         8 . The method of  claim 7 , wherein the demographic characteristic of the one or more viewers is at least one physical characteristic of the one or more viewers. 
     
     
         9 . The method of  claim 7 , wherein the effectiveness of the output is based on an impact of the output on one or more previous viewers of the digital display screen making up a demographic group, wherein the one or more previous viewers have at least one similar demographic characteristic as the one or more viewers of the digital display screen, and wherein the impact of the output on the demographic group is determined by correlating sales data from a point of sale terminal with analytics data of the demographic group. 
     
     
         10 . The method of  claim 2 , wherein the output is an advertisement selected by the trained model, and wherein the advertisement is provided from a server to the digital display screen. 
     
     
         11 . At least one non-transitory machine-readable medium containing instructions that, when executed by one or more processors of a computer, cause the computer to:
 gather, using a sensor that is at least one of included in, proximate to, or communicatively coupled to a digital display screen, analytics data associated with one or more viewers of the digital display screen;   identify an attribute of the one or more viewers of the digital display screen;   request an output to be displayed on the digital display screen from a content information system, the content information system using a trained model to determine an effectiveness of the output to be displayed on the digital display screen based on the identified attribute of the one or more viewers and selecting the output based on the effectiveness of the output for the one or more viewers;   receive the output to be displayed on the digital display screen from the content information system; and   display the output on the digital display screen.   
     
     
         12 . The at least one non-transitory machine-readable medium of  claim 11 , wherein gathering analytics data includes detecting a length of time the one or more viewers of the digital display screen glances at the digital display screen. 
     
     
         13 . The at least one non-transitory machine-readable medium of  claim 11 , wherein the sensor is a camera located proximate to the digital display screen, wherein the output is an advertisement selected by the trained model, and wherein the advertisement is provided from a server to the digital display screen. 
     
     
         14 . The at least one non-transitory machine-readable medium of  claim 11 , wherein the instructions further cause the processor to:
 anonymize the analytics data to create anonymous analytics data.   
     
     
         15 . The at least one non-transitory machine-readable medium of  claim 11 , wherein the analytics data includes a viewing pattern of the one or more viewers of the digital display screen. 
     
     
         16 . The at least one non-transitory machine-readable medium of  claim 11 , wherein the analytics data is a demographic characteristic of the one or more viewers of the digital display screen. 
     
     
         17 . The at least one non-transitory machine-readable medium of  claim 16 , wherein the demographic characteristic of the one or more viewers is at least one physical characteristic of the one or more viewers. 
     
     
         18 . The at least one non-transitory machine-readable medium of  claim 16 , wherein the effectiveness of the output is based on an impact of the output on one or more previous viewers of the digital display screen making up a demographic group, wherein the one or more previous viewers have at least one similar demographic characteristic as the one or more viewers of the digital display screen, and wherein the impact of the output on the demographic group is determined by correlating sales data from a point of sale terminal with analytics data of the demographic group. 
     
     
         19 . A digital display device comprising:
 a display screen;   processor circuitry;   communication circuitry to communicate with a content information system; and   memory, including instructions that, when executed by the processor, cause the processor circuitry to:
 gather, using a sensor that is at least one of included in, proximate to, or communicatively coupled to the digital display screen, analytics data associated with one or more viewers of the digital display screen; 
 identify an attribute of the one or more viewers of the digital display screen; 
 request, via the communication circuitry, an output to be displayed on the display screen from the content information system, the content information system using a trained model to determine an effectiveness of the output to be displayed on the display screen based on the identified attribute of the one or more viewers and selecting the output based on the effectiveness of the output for the one or more viewers; 
 receive, via the communication circuitry, the output to be displayed on the display screen from the content information system; and 
 display the output on the display screen. 
   
     
     
         20 . The digital display device of  claim 19 , wherein gathering analytics data includes detecting a length of time the one or more viewers of the display screen glances at the display screen. 
     
     
         21 . The digital display device of  claim 19 , wherein the sensor is a camera located proximate to the display screen, wherein the output is an advertisement selected by the trained model, and wherein the advertisement is provided from a server to the display screen. 
     
     
         22 . The digital display device of  claim 19 , wherein the instructions further cause the processor circuitry to:
 anonymize the analytics data to create anonymous analytics data.   
     
     
         23 . The digital display device of  claim 19 , wherein the analytics data is a demographic characteristic of the one or more viewers of the display screen. 
     
     
         24 . The digital display screen of  claim 23 , wherein the demographic characteristic of the one or more viewers is at least one physical characteristic of the one or more viewers. 
     
     
         25 . The digital display screen of  claim 23 , wherein the effectiveness of the output is based on an impact of the output on one or more previous viewers of the display screen making up a demographic group, wherein the one or more previous viewers have at least one similar demographic characteristic as the one or more viewers of the display screen, and wherein the impact of the output on the demographic group is determined by correlating sales data from a point of sale terminal with analytics data of the demographic group.