Mixed Reality Presentation Based on Virtual Location Within a Virtual Model of a Physical Space
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Solution Overview
Problem
Conventional virtual modeling systems for augmented reality environments suffer from inaccurate and uncalibrated rendering of scenes due to the need to process entire virtual models, leading to latency issues in scene rendering.
Innovation Solution
A virtual modeling system that determines a user device's physical location and corresponding virtual location within a virtual model, selectively transmitting a subset of model data including store location data, shelf data, and planogram data relevant to the device's location for generating augmented reality presentations, reducing the need to render the entire model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire virtual model is processed for scene rendering, then complete scene coverage is achieved, but rendering accuracy and speed deteriorate due to excessive computational load
Solution Approach 1:
The virtual model is divided into multiple sub-regions based on spatial location. Instead of processing the entire virtual model, the system segments it into manageable portions and only renders the sub-region corresponding to the user's current physical location, thereby reducing computational complexity while maintaining rendering accuracy for the relevant area
Solution Approach 2:
The system applies different processing quality levels to different parts of the virtual model. High-quality rendering is applied only to the local sub-region where the user is currently located, while other areas are either not rendered or rendered with lower quality, optimizing the balance between accuracy and computational resources
2Manufacturing precision
If the entire virtual model is processed for scene rendering, then complete scene coverage is achieved, but rendering speed deteriorates due to processing time
Solution Approach 1:
The system extracts only the necessary subset of model data corresponding to the user's current location from the complete virtual model. By taking out only the relevant portion needed for the current view, the system achieves high rendering precision for the displayed area while dramatically improving rendering speed by avoiding processing of unnecessary data
Solution Approach 2:
Instead of performing complete processing of the entire virtual model (excessive action), the system performs partial processing only on the subset of data relevant to the current user location. This partial action is sufficient to achieve the rendering goal while significantly reducing processing time and improving speed
3Loss of time
If location-based data filtering is implemented, then data transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The virtual model is pre-divided into sub-regions with associated model data subsets before runtime. When the user's location is determined, the system can quickly retrieve the pre-prepared subset corresponding to that location without needing to perform complex filtering operations in real-time, thus reducing data transmission time while keeping the system manageable
Data Source
AI summary
A modeling system determines a physical location of a device in a store and a virtual location in a virtual model of a store that corresponds to the physical location. The modeling system determines, from the virtual model, a subset of model data based on the virtual location. The model data comprises store location data applicable to the entire store, shelf data applicable to shelves in the store, and planogram data applicable to the shelves and products associated with the shelves. The subset of model data comprises the store location data, a subset of the shelf data applicable to at least a shelf within a predefined distance of the physical location of the device, and a subset of the planogram data applicable to at least the shelf and a product associated with the shelf. The modeling system generates a presentation of a scene based on the subset of model data.