Ad Display Feedback Using Viewer Detection and Location Sensing
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Solution Overview
Problem
There is no effective mechanism to measure the effectiveness of advertisements displayed on public display boards, leading to wastage of resources and lack of feedback on target viewership.
Innovation Solution
A device and system comprising image capturing devices, location sensors, and a processing unit connected to a central hub to analyze viewer engagement and provide feedback for updating advertisements, including facial expression analysis and metrics for cost-effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If advertisement displays are presented without feedback mechanism, then resource wastage occurs, but implementing feedback mechanism increases device complexity
Solution Approach 1:
The patent implements a feedback mechanism where image capturing devices detect viewers in the vicinity of display boards, and this information is fed back to update and optimize subsequent advertisement displays. This resolves the contradiction by enabling resource optimization through viewer feedback while managing system complexity through modular architecture.
Solution Approach 2:
The system enables self-service by automatically detecting viewers and updating advertisements without manual intervention. The display boards autonomously optimize their content based on real-time viewer detection, reducing the need for external resource allocation decisions and minimizing waste.
2Productivity
If general advertisements are displayed without target viewer consideration, then reachability is maximized, but effectiveness to specific audience decreases
Solution Approach 1:
The patent applies local quality by tailoring advertisement content to specific viewer demographics detected in different locations. Instead of uniform general advertisements, the system adjusts display content based on the specific characteristics of viewers in each vicinity, thereby improving effectiveness to target audiences while maintaining overall reachability.
Solution Approach 2:
The system dynamically adjusts advertisement displays based on real-time viewer detection and characteristics. The advertisement content, timing, and frequency are continuously optimized according to the detected audience, transforming static general displays into dynamic targeted communications that improve both reachability and effectiveness.
3Reliability
If viewer engagement is monitored through image capturing devices, then advertisement effectiveness is improved, but privacy concerns and system complexity increase
Solution Approach 1:
The patent uses image capturing devices as intermediaries that detect viewer presence and characteristics without directly accessing sensitive personal information. The system processes visual data to determine demographic characteristics and engagement levels while maintaining privacy, thereby improving measurement reliability without proportionally increasing complexity.
Data Source
AI summary
Systems and methods for measuring effectiveness of advertisement displays in public areas. A smart sensor box is connected to the display screen incorporating cameras to capture images of the vicinity of the display and individuals within it. A location sensor captures the location of the display. A processing unit identifies and profiles individuals viewing the display based on data captured by the cameras and the location sensors. A communication interface transmits processed data to a central hub and receives feedback from the central hub. The central hub analyses display engagement and profiles of individuals for measuring the effectiveness of the advertisement being displayed and provides feedback for updating the display.


