Directional Impression Analysis Through Multi-Camera Gaze Tracking
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Solution Overview
Problem
Traditional point of sale systems in shopping stores cannot effectively provide data on shopper interest in items that are not purchased or picked up, limiting insights for product design and marketing strategies.
Innovation Solution
A system that tracks shopper gaze directions using multiple cameras and image recognition engines to identify items of interest in real space, calculating distances and durations of gaze, and storing data for correlation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional point of sale systems are used to track shopper behavior, then the system complexity remains low, but the measurement precision of shopper interest in items is insufficient
Solution Approach 1:
The patent replaces traditional mechanical point of sale systems with an optical-based gaze tracking system using cameras and image recognition engines. This substitution enables precise measurement of shopper interest through gaze direction analysis, transforming the measurement mechanism from indirect sales data to direct visual attention detection.
Solution Approach 2:
The patent introduces gaze direction data as an intermediary between shoppers and items. By tracking where shoppers look rather than what they purchase, the system creates a new measurement dimension that reveals interest in items not necessarily bought, providing deeper insights into shopper behavior.
2Measurement precision
If multiple cameras and image recognition engines are deployed to track gaze directions, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent divides the shopping store environment into multiple zones covered by different cameras, with each camera capturing specific regions. The image recognition engines process these segmented views independently to identify gaze directions, allowing scalable deployment while maintaining precision through distributed processing.
Solution Approach 2:
The patent designs the camera system to serve multiple functions: capturing shopper locations, tracking gaze directions, and identifying items of interest. This multi-functionality reduces the need for separate specialized sensors, managing system complexity while enhancing measurement capabilities.
3Productivity
If real-time gaze tracking is implemented to provide immediate insights, then the productivity of data collection improves, but the use of energy increases
Solution Approach 1:
The patent implements periodic gaze tracking rather than continuous monitoring, analyzing gaze directions at key moments when shoppers interact with or pass near items. This periodic approach maintains data collection productivity for understanding shopping behavior while significantly reducing energy consumption compared to continuous tracking.
Solution Approach 2:
The system performs gaze tracking selectively on shoppers who exhibit potential interest behaviors (stopping, looking at items) rather than tracking all shoppers continuously. This partial action approach optimizes the balance between data collection productivity and energy consumption by focusing resources on relevant shopping moments.
Data Source
AI summary
Systems and techniques are provided for detecting subject interest in identified items in an area of real space. The system identifies a subject in the area of real space by linking the subject to a user account. The system detects the identified subject's interest in one or more identified items in the area of real space. The system stores the identified items for which interest was identified as entries in a database, and the entries include data attributes associated with at least one of a subject identifier, an item identifier, and a location of the item. The system analyzes the entries in the database to determine a correlation between data attributes in the database.