Store Visitor Recognition System for Trading Area Derivation
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Solution Overview
Problem
Existing systems can only capture license plates to identify store visitors, failing to effectively utilize the state of the visitor during a visit.
Innovation Solution
An information processing system that recognizes store visitors and transporters by analyzing video information, determines their moving range, and derives a trading area for the store based on this analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only license plate capture is performed to identify store visitors, then the system complexity is low, but the effectiveness of utilizing visitor state information is insufficient
Solution Approach 1:
The system segments the video analysis task into distinct functional modules: a recognizer module that identifies visitors and transporters, a determiner module that calculates moving ranges, and a deriving module that determines trading areas. This segmentation allows complex information extraction to be performed through coordinated simple modules, resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The video capture system serves multiple functions simultaneously: capturing visitor identification information, transporter type data, moving range information, and spatial behavior patterns. This multi-functionality allows a single camera system to provide diverse information for various analytical purposes without proportionally increasing system complexity.
2Measurement precision
If video information analysis is performed to recognize visitors and transporters, then the trading area determination accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-defining the analytical framework for video processing, including the types of information to extract (visitor identity, transporter type, moving range) and the mathematical models for calculating trading areas. This preliminary preparation allows efficient real-time processing during actual video analysis, reducing processing time while maintaining accuracy.
Solution Approach 2:
The video analysis operates continuously, with the recognizer, determiner, and deriving modules processing video streams in real-time without interruption. This continuous processing eliminates idle time between analysis steps and maintains consistent accuracy levels, resolving the contradiction between processing speed and measurement precision.
Data Source
AI summary
There is disclosed an information processing system for effectively using information indicating the state of a store visitor at the time of a visit. The system includes a recognizer that recognizes a store visitor and a transporter at the time of a visit by analyzing video information captured by an outside-the-store camera provided outside a store. The system also includes a determiner that determines a moving range of each store visitor recognized by the recognizer. Furthermore, the system includes a deriving unit that derives a trading area of the store based on a determination result of the determiner.