Signage Control System Using Preliminary Customer Behavior Analysis
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Solution Overview
Problem
Conventional signage control systems cannot change content displayed on digital signage based on customer behavior before the customer approaches the signage and cannot immediately attract the customer's attention when they enter the area where the signage is visible.
Innovation Solution
A signage control system that uses both signage-side and surveillance cameras to estimate customer attributes and behavior, allowing for content changes based on expected visibility and prior behavior, enabling immediate attraction of the customer's interest when they enter the relevant area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only signage-side camera is used to analyze customer attributes and behavior, then the system is simple, but the system cannot start analyzing before the customer comes in front of the signage and cannot immediately display attractive content
Solution Approach 1:
The system performs preliminary analysis of customer attributes and behavior using surveillance cameras before the customer reaches the signage. This allows the system to pre-process and prepare personalized content in advance, so that when the customer arrives at the signage, the attractive content can be immediately displayed without delay. The surveillance cameras capture images in advance, and the analysis is performed preliminarily to enable rapid response.
2Loss of time
If surveillance cameras are added to capture images before customer arrival, then the system can analyze customer behavior in advance and immediately display attractive content, but the device complexity increases
Solution Approach 1:
Surveillance cameras are deployed to capture customer images in advance before they reach the signage. This preliminary capture enables the system to start analyzing customer attributes and behavior earlier, reducing the time loss. The content can be prepared in advance based on this preliminary analysis, ensuring immediate display of attractive content when the customer arrives.
Solution Approach 2:
The system introduces an intermediary mechanism (surveillance cameras and image processing system) that bridges the gap between customer approach and signage display. This intermediary allows continuous tracking and analysis of customer behavior from a distance, enabling the system to prepare personalized content before the customer actually reaches the signage, thus reducing analysis start time without requiring complex direct interaction at the signage location.
3Adaptability or versatility
If content is changed based on real-time customer attributes only, then the system is simple to operate, but it cannot consider customer behavior patterns before they reach the signage
Solution Approach 1:
The system continuously receives feedback from surveillance cameras about customer attributes and behavior patterns. This feedback loop enables the system to dynamically adjust and personalize content based on real-time customer characteristics and observed behavior. The feedback mechanism allows the system to consider both current attributes and preceding behavior patterns, enhancing content adaptability while maintaining automated operation.
Solution Approach 2:
The system performs preliminary analysis of customer behavior patterns using surveillance images captured before customers reach the signage. This preliminary analysis includes identifying customer attributes, movement patterns, and behavioral characteristics in advance. Based on this preliminary information, the system prepares personalized content that adapts to individual customer preferences and behaviors, enabling sophisticated content personalization without complicating the operational process.
Data Source
AI summary
A signage control system comprises: a primary estimation circuitry to use signage-side images and surveillance-side images to estimate a person feature, attributes and behavior of each person captured in these frame images; a storage device to associate and store results of estimations of the person feature, the attributes and the behavior of each specific person; an estimation result linkage circuitry to use the person feature stored in the storage device to link the results of estimations based on the frame images from multiple ones of the cameras for the same person so as to generate a group of estimation results for each person; and a content change circuitry to change a content displayed on the signage to another based on the attributes of each person expected to be in a position where such person can visually recognize the content on the signage, and based on preceding behavior of such person.