Consumer Tracking via Sensor Fingerprints for Privacy-Safe Engagement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Advertisers lack precise information on actual consumer engagement with advertisements, such as who viewed the ad and their subsequent actions, as existing metrics like impressions and click-throughs do not provide insights into individual consumer behavior or post-view actions.
Innovation Solution
A system that generates a unique representation of consumers using visual or signal-based identifiers, allowing tracking of consumer behavior across locations without revealing their identity, by employing sensors like cameras and RFID/Bluetooth detectors, and storing these as fingerprints for anonymous data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional advertising metrics (impressions, click-throughs) are used, then the system is simple to implement, but the information about actual consumer behavior is insufficient
Solution Approach 1:
The patent introduces an intermediary component (sensor system with fingerprint generator) that bridges the gap between simple advertising delivery and detailed consumer behavior tracking. The intermediary captures consumer presence data through sensors and processes it into actionable insights without requiring direct complex integration between advertisers and consumer identification systems
Solution Approach 2:
The patent replaces traditional mechanical/analog advertising measurement methods (surveys, manual tracking) with electronic sensor-based detection systems. Sensors optically or electronically detect consumer presence and generate digital fingerprints, substituting physical measurement approaches with electronic detection to achieve more precise and automated behavior tracking
2Measurement precision
If personal information about consumers is collected, then advertising targeting can be improved, but consumer privacy is compromised
Solution Approach 1:
The patent extracts only the essential identifying characteristics needed for tracking (visual or signal-based identifiers) while leaving out sensitive personal information. The system captures sufficient data to identify and track consumers across devices and locations but deliberately excludes detailed personal data that would compromise privacy
Solution Approach 2:
The patent transforms consumer identification data from detailed personal information into simplified parameter representations (fingerprints based on visual characteristics or device signals). By changing the parameters from comprehensive personal data to selective identifying features, the system maintains tracking capability while reducing privacy intrusion
3Reliability
If multiple sensors and detection methods are deployed, then consumer tracking accuracy improves, but system cost and complexity increase
Solution Approach 1:
The patent designs the sensor system with multi-functionality, where sensors can operate in multiple modes (optical detection, signal-based detection) and serve various tracking purposes. This universal approach allows the same sensor infrastructure to handle different types of consumer identification scenarios, reducing overall system complexity compared to dedicated sensors for each function
Solution Approach 2:
The patent implements dynamic sensor activation and detection method selection based on environmental conditions and consumer presence. The system adapts its complexity in real-time, using simpler detection methods when sufficient and more sophisticated approaches only when needed, thereby optimizing the balance between reliability and complexity
Data Source
AI summary
A system and method for tracking a consumer is provided. A consumer is detected at a first location within a vicinity of a content player playing a content item. A unique identification of the consumer is captured, such as a facial image or a Bluetooth signal emitted by a device associated with the consumer in some embodiments. A record is stored indicating the consumer perceived the content item. As the consumer perceives other content items or travels to other locations, the record is updated to reflect the consumer's behavior.