Dynamic Light Filtering for AR Headsets Using Multi-Sensor Adaptation
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Solution Overview
Problem
Excessive and intense natural and artificial light sources in the environment cause visual artifacts and high latency issues for head-mounted displays (HMDs) used in Augmented Reality (AR) and Virtual Reality (VR), making it difficult to blend virtual and real-world interactions effectively.
Innovation Solution
A filtering device and method that utilize ultraviolet, infra-red, and visible light sensors to dynamically select and apply filters based on environmental light conditions, ensuring optimal image quality and low latency by continuously adjusting to changing light conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single static filter is used for light filtering, then the device complexity is low, but the adaptability to changing environmental light conditions is poor, causing visual artifacts and high latency
Solution Approach 1:
The patent implements dynamic filter selection by continuously monitoring environmental light conditions through multiple sensors (UV, IR, visible light sensors) and automatically switching between different filter profiles based on detected conditions such as sunlight, indoor lighting, or darkness. This dynamic adaptation resolves the contradiction by making the filtering system responsive to changing environments while maintaining manageable complexity through automated control.
Solution Approach 2:
The system changes filtering parameters by selecting different filter profiles (e.g., sunlight filter, indoor filter, darkness filter) based on detected environmental conditions. Each profile has specific optical characteristics optimized for its target condition, allowing the system to adapt to varying lighting scenarios without requiring a completely complex redesign of the filtering mechanism.
2Reliability
If multiple sensors and dynamic filter selection are implemented, then the adaptability to light conditions is improved, but the device complexity increases
Solution Approach 1:
The patent employs a multi-functional sensor system where UV, IR, and visible light sensors work together to comprehensively detect environmental conditions. The same filtering circuit handles multiple filtering tasks by switching between different filter profiles, making the system universally applicable to various lighting conditions while maintaining reliable image quality and low latency through coordinated operation of these multi-functional components.
Solution Approach 2:
The system implements feedback control by continuously monitoring environmental light conditions through multiple sensors and using this information to automatically adjust filter selection. This closed-loop feedback mechanism ensures reliable image quality and low latency performance by constantly adapting to changing conditions while managing device complexity through automated, intelligent control rather than requiring overly complex hardware designs.
3Object-affected harmful factors
If filters are applied to reduce intense light, then visual artifacts are reduced, but the latency increases due to continuous adjustment
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple filter profiles (sunlight filter, indoor filter, darkness filter) that are ready to be activated based on predicted or detected conditions. By having pre-configured filtering solutions and using predictive algorithms to anticipate lighting changes, the system can apply appropriate filters more quickly, reducing the latency penalty while still effectively reducing visual artifacts from intense light.
Solution Approach 2:
The system uses periodic monitoring of environmental conditions through multiple sensors to detect lighting changes and trigger filter transitions only when necessary. This periodic rather than continuous adjustment approach reduces unnecessary processing and latency while maintaining effective artifact reduction during actual lighting condition changes, balancing visual quality with temporal performance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively minimizes latency and removes visual artifacts, allowing for seamless integration of virtual and real-world elements, enhancing the user experience by dynamically filtering intense light sources and maintaining accurate gesture recognition.
Implementation Method 1
an ultraviolet light sensor configured to sense ultraviolet light
Implementation Method 2
an infra-red light sensor configured to sense infra-red light
Implementation Method 3
a visible light sensor configured to sense visible light
Implementation Method 4
a filtering circuit configured to apply the selected filter
Data Source
AI summary
According to various embodiments, a filtering device may be provided. The filtering device may include: an ultraviolet light sensor configured to sense ultraviolet light; an infra-red light sensor configured to sense infra-red light; a visible light sensor configured to sense visible light; a filter selection circuit configured to select a filter based on at least two outputs selected from a list of outputs consisting of: an output of the ultraviolet light sensor; an output of the infra-red light sensor; and an output of the visible light sensor; and a filtering circuit configured to apply the selected filter.