Image display device, image display system, image display method, and program
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Solution Overview
Problem
Existing systems for analyzing customer behavior in shops are limited in their ability to provide detailed insights, primarily focusing on measuring time spent and item pickup frequency without deeper analysis.
Innovation Solution
An image display device and system that acquire approach situation information, associate it with specific items based on position, calculate behavioral index values, and display these values alongside item images, enabling more detailed analysis of customer behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic measurement of customer behavior (time spent, item pickup frequency) is implemented, then customer behavior analysis is achieved, but the detail and sophistication of the analysis is insufficient
Solution Approach 1:
The patent segments customer behavior analysis into multiple dimensions: approach situation (approach/no approach), approach position (multiple position zones on shelf), and behavior type (pickup/return/hold). This segmentation enables detailed analysis by breaking down continuous behavior into discrete, measurable categories that can be processed and analyzed separately, achieving high measurement precision without requiring overly complex continuous monitoring systems
Solution Approach 2:
The patent adds positional dimension to behavior analysis by dividing the shelf front into multiple position zones (e.g., left, center, right sections). Instead of merely counting behaviors, the system maps behaviors to spatial dimensions, creating a two-dimensional analysis framework (behavior type × position) that provides deeper insights into customer preferences and shopping patterns while using relatively simple sensor arrays
2Loss of information
If detailed approach situation information is collected for each item position, then sophisticated customer behavior analysis is enabled, but information processing complexity increases
Solution Approach 1:
The patent extracts only the essential behavioral elements needed for analysis: approach situation (binary state), approach position (categorical location), and behavior type (pickup/return/hold). By extracting and focusing on these key parameters rather than processing all possible behavioral data, the system achieves comprehensive customer behavior information while keeping processing complexity manageable through selective data collection
Solution Approach 2:
The patent transforms continuous behavioral data into discrete parameters with defined states. Approach position is converted from continuous spatial coordinates to discrete position zones, and behavior types are categorized into specific states. This parameter discretization reduces information processing complexity by converting unstructured data into structured, countable states that can be efficiently analyzed
Data Source
AI summary
An image display device includes an approach situation information acquirer that acquires approach situation information indicating approach of at least part of a customer's body to a shelf on which a plurality of items are displayed and indicating, when there is the approach, a position of the approach on the shelf at each time; an associator that associates the approach situation information with one item of the plurality of items according to the position indicated by the approach situation information; an index value calculator that calculates an index value relating to the customer's behavior on the basis of information indicating the item associated with the approach situation information; and a display unit that displays the index value calculated by the index value calculator together with an image of the item on the basis of the association made by the associator.