Digital Advertising System with Anonymous Video Analytics
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Solution Overview
Problem
The digital signage industry faces challenges in providing clear return on investment (ROI) data and targeting advertising effectively to specific demographics, as existing technologies lack the ability to determine the effectiveness of ad content and adapt it in real time based on viewer demographics.
Innovation Solution
The implementation of anonymous video analytics (AVA) and data mining techniques to equip digital signs with sensors and processors, allowing them to detect viewer demographics and adapt ad content in real time, correlating viewership data with sales data to measure ROI and target ads effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital signs display advertising content, then advertising reach is improved, but ability to measure effectiveness and target specific demographics deteriorates
Solution Approach 1:
The system implements feedback by capturing video analytics data of viewers, analyzing demographic information, and using this feedback to dynamically adjust and optimize advertising content delivery. Sensors and processors on digital signs continuously monitor viewer characteristics and feed this information back to the content management system for real-time advertising optimization.
Solution Approach 2:
The digital signage system performs self-service by automatically capturing viewer demographic data through integrated sensors, analyzing the data through processors, and autonomously selecting and displaying appropriate advertising content without manual intervention. The system serves itself by making real-time decisions based on observed viewer characteristics.
2Productivity
If digital signs adapt content in real time, then ad effectiveness is improved, but system complexity deteriorates
Solution Approach 1:
The system merges multiple functions into the digital sign by integrating sensors, processors, and content management capabilities directly into the display device. This consolidation enables real-time viewer analysis and content adaptation while reducing the need for separate external systems, thereby managing complexity through integration.
Solution Approach 2:
The digital sign is designed as a multi-functional device that not only displays advertising content but also captures video analytics, analyzes demographic data, and autonomously selects advertising content. This universal design allows a single device to perform multiple functions, improving adaptability while managing complexity through functional integration.
Data Source
AI summary
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.