Virtual Rendering System for Retail Camera Placement Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating models for camera systems in retail environments lack effectiveness in addressing blind spots and physical restrictions, such as lamps, which hinder optimal camera placement and coverage.
Innovation Solution
A method involving a virtual rendering system to simulate and optimize camera settings by considering blind spots and physical restrictions, allowing for the generation of improved three-dimensional feeds and subsequent real-world camera system installation, enhancing coverage and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual camera system settings are used in retail environments, then installation is straightforward, but blind spots and physical restrictions cannot be effectively addressed
Solution Approach 1:
The patent applies preliminary action by creating a virtual replica of the retail store environment and performing camera system optimization simulations before actual installation. The system pre-identifies blind spots and tests various camera placements virtually, allowing the real-world installation to be optimized based on prior virtual experimentation. This ensures reliable coverage while maintaining straightforward installation procedures.
Solution Approach 2:
The patent uses copying by creating a digital twin or virtual replica of the physical retail store environment. This virtual copy includes accurate representations of physical restrictions like lamps and shelving. By working with this copy in the virtual environment, the system can test camera placements without affecting the real store, thereby improving coverage reliability while keeping the actual installation simple.
2Area of stationary object
If more cameras are installed to cover blind spots, then coverage improves, but system complexity and cost increase
Solution Approach 1:
The patent applies partial or excessive action by using the virtual environment to test not just the minimum number of cameras needed, but various configurations including excessive camera placements. This allows the system to identify the optimal subset of cameras that provides complete coverage without unnecessary complexity. The virtual testing reveals whether fewer cameras can achieve the same coverage or if additional cameras are truly necessary.
Solution Approach 2:
By performing preliminary virtual simulations, the system determines the exact number and placement of cameras needed before actual installation. This pre-planning ensures that the minimum necessary cameras are installed to achieve complete coverage, avoiding both insufficient coverage and unnecessary system complexity from over-installation.
3Measurement precision
If camera placement is optimized for maximum coverage, then monitoring accuracy improves, but installation difficulty increases due to physical restrictions
Solution Approach 1:
The patent introduces an intermediary - the virtual environment - that mediates between the conflicting requirements of monitoring accuracy and installation ease. The virtual replica accurately represents physical restrictions like lamps and shelving, allowing the system to find camera placements that achieve maximum coverage while respecting physical constraints. This intermediary enables optimization without the complexity of manual trial-and-error in the physical space.
Solution Approach 2:
The system performs preliminary optimization in the virtual environment, identifying camera placements that achieve maximum monitoring accuracy while accounting for physical restrictions. Once the optimal placement is determined virtually, it can be directly transferred to the physical installation, making the actual installation process straightforward despite the complex optimization that occurred beforehand.
4Reliability
If virtual simulation is performed to optimize camera settings, then coverage and accuracy improve, but time and computational resources are consumed
Solution Approach 1:
The patent applies partial or excessive action by implementing iterative simulation that starts with a baseline camera configuration and progressively refines it. Rather than exhaustively testing every possible configuration, the system performs a series of targeted simulations that focus on the most promising placements identified in previous iterations. This approach achieves high reliability while limiting the time investment to a practical level.
Data Source
AI summary
This application relates to systems, methods, devices, and other techniques that can be utilized to generate models for a camera system simulation in a retail environment and perform simulation to perfect these models.