Augmented Reality Masking for Scene Processing
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Solution Overview
Problem
Augmented reality devices face challenges in managing large amounts of information, leading to user overload and excessive battery usage, as they struggle to prioritize and filter relevant information from the real-world scene, potentially obscuring important objects.
Innovation Solution
A method that determines suboptimal viewing conditions in augmented reality by analyzing user profiles and geographic locations, implementing masks to selectively suppress processing of certain areas within the scene space, thereby reducing sensory overload and battery drain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If augmented reality devices process large amounts of information from the scene space, then the information availability increases, but user overload and battery consumption increase
Solution Approach 1:
The scene space is divided into multiple regions of interest using masks, where only selected regions are processed for augmented reality information overlay. This segmentation allows the system to process a subset of the total scene space, reducing computational load and battery consumption while maintaining access to relevant information in prioritized areas.
Solution Approach 2:
Different processing quality levels are applied to different regions of the scene space. High-priority regions receive full AR processing and information overlay, while low-priority regions are masked out and excluded from processing. This local differentiation optimizes resource allocation by concentrating computational power where it provides maximum user value.
2Quantity of substance
If augmented reality devices process large amounts of information from the scene space, then the information availability increases, but user overload occurs
Solution Approach 1:
The scene space is divided into multiple regions of interest using masks, where only selected regions are processed for augmented reality information overlay. This segmentation allows the system to process a subset of the total scene space, reducing computational load and battery consumption while maintaining access to relevant information in prioritized areas.
Solution Approach 2:
Different processing quality levels are applied to different regions of the scene space. High-priority regions receive full AR processing and information overlay, while low-priority regions are masked out and excluded from processing. This local differentiation optimizes resource allocation by concentrating computational power where it provides maximum user value.
3Quantity of substance
If augmented reality information is displayed throughout the scene space, then information coverage increases, but important real-life objects are obscured
Solution Approach 1:
The scene space is divided into multiple regions of interest using masks, where only selected regions are processed for augmented reality information overlay. This segmentation allows the system to process a subset of the total scene space, reducing computational load and battery consumption while maintaining access to relevant information in prioritized areas.
Solution Approach 2:
Masks are used to extract and exclude specific regions from augmented reality processing, effectively removing the harmful effect of information obscuration from critical real-life objects while maintaining AR information display in safe, non-critical areas of the scene space.
Data Source
AI summary
Modifying augmented reality viewing is provided. It is determined that a user is viewing a scene space via augmented reality at a current geographic location of the user. It is detected that the viewing of the scene space is suboptimal for the user based on at least one of overcrowding of the viewed scene space at the current geographic location and significant battery usage to support augmented reality processing. Priority of one or more masks associated with the viewing of the scene space by the user is determined based on a user profile. The one or more masks associated with the viewing of the scene space are implemented based on the current geographic location of the user and the user profile. The one or more masks indicate that a portion of the viewed scene space is not to be processed for the viewing of the scene space via augmented reality.