Retail Group Reunion via Image Analysis and Zone Segmentation
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Solution Overview
Problem
In large retail stores, family and friend groups often experience difficulties in reuniting when one member becomes separated, leading to stress for both the individual and the group, due to the complexity of the store layout and the quickness of separations.
Innovation Solution
A computing system that utilizes a network of security cameras and price check stations to track and identify socially interrelated individuals, providing a map to reunite members by analyzing images and determining their social connections, allowing for real-time location tracking and route guidance within the store.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a computing system tracks and identifies socially interrelated individuals using security cameras and image analysis, then the speed and accuracy of reuniting separated group members is improved, but the device complexity and cost increase
Solution Approach 1:
The system segments the retail store into multiple monitoring zones covered by security cameras, and divides the group tracking function into modular components: image capture, image analysis, group identification, location tracking, and reunion guidance. This segmentation allows each component to operate independently and reduces overall system complexity while maintaining high speed of operation.
Solution Approach 2:
The computing system performs multiple functions using a unified approach: it tracks individual movements, identifies social connections between people, monitors group compositions, and provides reunion guidance. By making the system universal and multi-functional, the patent avoids the need for separate specialized systems for each function, thereby reducing device complexity while improving reunion speed.
2Measurement precision
If the system analyzes images to identify social connections and track groups in real-time, then the accuracy of group member identification is improved, but the use of energy and computational resources increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing social connection models and group profiles before separations occur. When a separation event is detected, the system uses these pre-established models to quickly identify and track group members, reducing the need for intensive real-time computational analysis and thereby lowering energy consumption while maintaining high identification accuracy.
Solution Approach 2:
The system uses the natural behavior patterns and social interactions of the people themselves as the data source for identification, rather than requiring external active participation. By leveraging the self-service nature of people's natural movements and interactions, the system achieves accurate group member identification without requiring additional energy-intensive active measurement or user input.
3Reliability
If security cameras and image analysis are deployed throughout the retail store, then the reliability of detecting separated members is improved, but the cost and complexity of the system increase
Solution Approach 1:
The system implements local quality by deploying security cameras at specific strategic locations rather than uniformly throughout the entire store. Each camera is positioned to monitor specific zones where separations are most likely to occur, and the image analysis function is localized to process images from relevant cameras only. This approach maintains high reliability for detecting separated members while reducing the overall complexity and cost of the camera network.
Data Source
AI summary
A control server associated with a retail store places or assigns people that are determined to be socially interrelated into corresponding groups. When a group member becomes separated from the group, an image of that person is analyzed and used to identify his/her group. Once identified, the control server generates a notification indicating the current locations in the retail store of both the group and the person who became separated, and indicates a route the person can take through the store to reunite with the group.