Sensor-Integrated Mirror for Consumer Behavior Analysis
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Solution Overview
Problem
Point-of-sale (POS) data fails to capture consumer shopping behavior before a purchase and is inadequate for merchandise items seldom bought, limiting retailers' understanding of consumer preferences and decision-making processes.
Innovation Solution
A mirror system that uses an image sensor to capture sequential images of consumers trying on merchandise, analyzing demographic groups, behavior patterns, and interest levels, determining mappings between demographics and item preferences, and presenting relevant merchandise based on detected characteristics and correlations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If POS data is used to capture consumer behavior, then purchase information is obtained, but pre-purchase shopping behavior is not captured
Solution Approach 1:
The mirror system performs preliminary capture and analysis of consumer behavior data before the purchase decision is made. By positioning the image sensor and analysis system in the fitting room, the system collects visual data of consumers trying on clothes, examining items, and interacting with merchandise before they reach the POS counter, thus preserving pre-purchase behavior information that would otherwise be lost
2Loss of information
If POS data is used to track consumer behavior, then purchased items are recorded, but seldom-purchased items are not captured
Solution Approach 1:
The mirror system enables self-service data collection by automatically capturing and analyzing consumer behavior without requiring manual input or purchase transactions. The image sensor continuously monitors the fitting room, and the analysis system automatically processes the visual data to identify consumer interactions with various items, including those that are seldom purchased, thus generating comprehensive behavior data without relying on purchase volumes
3Measurement precision
If traditional POS monitoring is used, then purchase transactions are tracked, but consumer interest levels and preferences are not determined
Solution Approach 1:
The system replaces the mechanical POS data collection method with an optical-based image sensing and analysis system. Instead of relying on transactional data from cash registers, the system uses image sensors to capture visual information of consumer behavior, then applies image processing and pattern recognition algorithms to automatically determine consumer interest levels, preferences, and shopping patterns, achieving precise measurement without proportionally increasing physical device complexity
Data Source
AI summary
A mirror system includes an image sensor coupled to a mirror, and gathers consumer shopping preferences for merchandise items. During operation, the system gathers one or more sequential images, from the image sensor, of a consumer wearing a first wearable merchandise item in front of the image sensor. Next, the system identifies in the one or more sequential images a first merchandise item being worn by the consumer. Then, the system determines a demographic group associated with the consumer, and detects behavior patterns for the consumer, wherein the behavior pattern indicates an interest level of the consumer for the identified merchandise item. The system then determines a mapping between the identified consumer demographic group and an interest level for the identified merchandise item, and produces a model which encodes the mapping.