RFID-Based Digital Signage Personalization Without Biometrics
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Solution Overview
Problem
Conventional digital signage systems struggle to dynamically select and display personalized content in real-time due to inaccuracies in biometric data collection and privacy concerns, often relying on rigid scheduling and limited data analysis, which results in irrelevant content being shown to individuals.
Innovation Solution
A system that maps visual content to physical items selected by individuals using RFID tags or other reflectors, analyzing these items to infer characteristics and predict locations, allowing for real-time personalized content display on nearby digital signs without capturing biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional digital signage systems use cameras to capture biometric data for personalization, then content personalization capability is improved, but data security and privacy protection deteriorate
Solution Approach 1:
The patent extracts and removes the harmful element (biometric data collection via cameras) while preserving the useful function (content personalization). Instead of capturing faces or biometric information, the system uses anonymous device identifiers and location data to deliver personalized content, thereby eliminating security risks associated with storing sensitive personal information.
Solution Approach 2:
The patent introduces an intermediary approach by using device identifiers and location information as intermediate data sources. Rather than directly capturing sensitive biometric data, the system uses these intermediate, less sensitive data points to infer user preferences and deliver personalized content, reducing the need to store and protect highly sensitive information.
2Device complexity
If conventional systems use rigid scheduling for content display, then system complexity is reduced, but content relevance to individuals deteriorates
Solution Approach 1:
The patent transforms the static, rigid scheduling system into a dynamic one that adapts to individual users in real-time. The system continuously receives location and device data, dynamically selects relevant content based on user profiles and current context, and delivers personalized content without requiring complex manual scheduling configurations.
3Adaptability or versatility
If conventional systems access personal data from user computing devices, then content personalization is improved, but privacy concerns and data security issues worsen
Solution Approach 1:
The patent implements a self-service model where users voluntarily share their device identifiers and location information with the digital signage system. This eliminates the need for the system to actively access or extract personal data from user devices, as users themselves provide the necessary information for personalization, thereby reducing privacy and security concerns.
4Device complexity
If conventional systems rely on limited biometric data for personalization, then data collection complexity is reduced, but personalization accuracy and real-time responsiveness deteriorate
Solution Approach 1:
The patent creates a universal data collection framework that works across multiple data sources (device identifiers, location information, user profiles) without requiring specialized biometric collection infrastructure. This multi-functional approach enables accurate real-time personalization using readily available data from mobile devices and location services, eliminating the need for complex biometric scanning systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively tailors visual content to individual characteristics and locations in real-time, enhancing personalization and avoiding privacy and security risks by using item-based data analysis rather than biometric data.
Implementation Method 1
The disclosed system identifies physical items in the collection based on signals from radio-frequency identification (RFID) tags affixed to the physical items or signals from other reflectors or devices associated with the physical items.
Data Source
AI summary
This disclosure describes embodiments of methods, systems, and non-transitory-computer readable media that personalize visual content for display on digital signage near a projected location of a person by mapping visual content to physical items selected by the person. In some examples, the disclosed system identifies physical items selected by a person based on signals from the physical items, such as signals emitted by RFID tags affixed to (or other devices associated with) the physical items. The disclosed system analyzes the collection of physical items—as identified by the signals—to tailor digital signage content specific to the person. The disclosed system further tracks the location of the person as the person moves through a physical space and interacts with the physical items. Based on the tracked positions, the disclosed system determines a digital sign in proximity to a predicted location of the person to display the personalized visual content.