Virtual Reality Device Real-World Object Detection and Rendering
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Solution Overview
Problem
Current virtual reality technologies fail to effectively integrate real-world objects and environments into virtualized environments, leading to disorientation and potential collisions due to lack of sensory awareness of surrounding objects and people.
Innovation Solution
A method and apparatus that generate a virtualized environment by detecting real-world objects using sensors and rendering their imagery, with adjustable distance-based introduction to minimize disruption, allowing users to interact with virtualized environments while maintaining awareness of real-world objects and people.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-world objects are completely excluded from virtualized environments, then the virtual environment can be fully controlled and optimized, but users lose awareness of real-world surroundings leading to disorientation and collisions
Solution Approach 1:
The system performs preliminary detection of real-world objects using sensors before the user interacts with the virtual environment. Objects are pre-processed and prepared for integration, allowing the system to proactively manage object introduction and prevent disorientation by having advance knowledge of the spatial layout and potential collision risks.
Solution Approach 2:
The patent introduces an intermediary layer between the real-world objects and the virtual environment. This intermediary system processes real-world data, determines appropriate rendering conditions based on distance thresholds, and mediates the integration of real objects into the virtual space, thereby controlling the balance between immersion and awareness.
2Ease of operation
If real-world objects are immediately and fully rendered in the virtualized environment, then user awareness of surroundings is maximized, but user immersion and engagement with the virtual environment is reduced
Solution Approach 1:
The system dynamically adjusts the rendering of real-world objects based on the user's distance to each object. The rendering parameters (opacity, detail level, visibility) are made dynamic and adaptive, allowing the system to optimize the balance between awareness and immersion in real-time based on spatial context.
Solution Approach 2:
The patent changes rendering parameters such as object opacity, detail level, and visibility based on the determined distance between the user and detected objects. This parameter adjustment allows the same object to be rendered differently under different spatial conditions, maintaining immersion when distance is large while providing awareness when distance is small.
3Ease of operation
If distance-based rendering thresholds are implemented, then user disorientation is reduced, but the complexity of object detection and rendering control increases
Solution Approach 1:
The system uses distance as a key parameter to automatically adjust rendering behavior. By changing the rendering state based on distance thresholds, the system simplifies the control logic compared to complex manual adjustment mechanisms, while still achieving the goal of reducing disorientation through automated adaptive rendering.
4Reliability
If real-world imagery is merged with virtual environment imagery, then user immersion is enhanced, but the ability to detect and respond to real-world objects decreases
Solution Approach 1:
The system performs preliminary detection and classification of real-world objects before merging them with the virtual environment. By pre-processing object detection and spatial mapping, the system maintains the ability to detect real-world objects even while their imagery is merged with the virtual environment, thus preserving both immersion and detection capabilities.
Data Source
AI summary
Certain embodiments may relate to presenting imagery within a virtualized environment. A method and apparatus may be provided. The method may include generating a virtualized environment for a user. The method may also include detecting an object in the real world. The method may further include rendering imagery corresponding to the detected object in the virtualized environment.