Fixed Camera Deployment for Retail Inventory Monitoring
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Solution Overview
Problem
Current stock keeping methods in retail stores face challenges in efficiently monitoring and managing inventory across large areas, particularly in regions with poor accessibility and varying product values, due to limitations in existing sensor deployment strategies.
Innovation Solution
A method involving a robotic system that autonomously navigates to create spatial maps and heatmaps, identifying optimal locations for fixed cameras based on accessibility, product value, and connectivity, allowing for targeted deployment to enhance inventory monitoring and reduce the need for extensive camera installations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive camera installations are deployed throughout the store, then inventory monitoring coverage is improved, but system complexity and cost increase
Solution Approach 1:
The patent applies local quality by deploying cameras selectively at specific locations rather than uniformly throughout the store. The system identifies high-value product regions and places cameras only in those areas, making the monitoring system both effective and cost-efficient. This resolves the contradiction by achieving adequate coverage without extensive installation.
Solution Approach 2:
The patent uses partial action by implementing monitoring only in critical areas where it provides maximum value. Rather than deploying cameras everywhere, the system focuses on high-value product regions, achieving sufficient inventory monitoring coverage without the complexity and cost of comprehensive deployment.
2Reliability
If cameras are deployed in all regions, then monitoring completeness is improved, but cost and installation complexity increase
Solution Approach 1:
The system implements local quality by tailoring camera deployment to specific store regions based on product value and accessibility characteristics. High-value, hard-to-monitor regions receive camera coverage while low-value or easily monitored regions use alternative methods, reducing overall installation complexity while maintaining monitoring completeness where it matters most.
Solution Approach 2:
The patent applies partial action by focusing camera deployment only on regions where it provides necessary monitoring completeness. The system identifies gaps in robotic monitoring and places cameras only in those specific locations, achieving monitoring completeness without the expense and complexity of universal camera deployment.
3Measurement precision
If more cameras are installed, then data collection fidelity is improved, but the number of devices and complexity increase
Solution Approach 1:
The system applies local quality by concentrating camera resources in regions where high data collection fidelity is most valuable - specifically high-value product regions. This ensures measurement precision where it impacts business outcomes most, while using fewer overall cameras compared to uniform deployment strategies.
Solution Approach 2:
The patent uses partial action by deploying cameras only in regions where they provide measurable improvement in data collection fidelity. The system identifies specific high-value regions where camera data is critical and places cameras there, achieving high measurement precision without requiring a large quantity of cameras throughout the entire store.
Data Source
AI summary
One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.