Distributed AR Environment Analysis via Device Data Sharing
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Solution Overview
Problem
Augmented reality (AR) systems face high processing burdens and power consumption when analyzing environments in real-time, particularly in environments with multiple users, leading to potential battery drain and inefficiencies in providing accurate AR displays.
Innovation Solution
Implementing a method where portable electronic devices share data and processing responsibilities with nearby devices to reduce the computational load, utilizing short-range wireless communication protocols like Bluetooth or Wi-Fi to facilitate peer-to-peer data exchange and distribute analysis tasks based on device capabilities and trustworthiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If environment analysis is performed in real-time on portable devices, then AR display accuracy and responsiveness are improved, but power consumption increases and battery life decreases
Solution Approach 1:
The environment analysis task is segmented and distributed across multiple portable devices in proximity. Each device performs partial analysis on its captured media, and results are aggregated to form a comprehensive environment model, reducing the computational burden on any single device and thereby lowering power consumption while maintaining analysis accuracy.
Solution Approach 2:
Multiple devices merge their computational resources and analysis results to collectively perform environment analysis. By combining processing power and sharing analysis data between devices, the system achieves accurate real-time environment understanding without overloading individual devices, thus balancing accuracy requirements with power consumption constraints.
2Measurement precision
If environment analysis is performed on portable devices, then AR display quality is improved, but device complexity and processing requirements increase
Solution Approach 1:
The complex environment analysis process is divided into manageable segments that can be distributed across multiple devices. Each device handles specific analysis tasks based on its capabilities, and results are integrated to produce high-quality AR displays, reducing the processing burden on individual devices while maintaining overall system quality.
Solution Approach 2:
Devices act as intermediaries by sharing their captured media and analysis results with nearby devices. This intermediary approach allows complex analysis to be distributed across the network of devices rather than concentrated on a single device, reducing individual processing requirements while maintaining high AR display quality through aggregated results.
3Measurement precision
If multiple devices perform independent environment analysis, then AR display accuracy for each user is improved, but overall system efficiency decreases
Solution Approach 1:
The system merges environment analysis results from multiple devices to create a shared understanding of the environment. By combining data from multiple sources and aggregating analysis results, the system maintains high accuracy for each user's AR display while improving overall system efficiency through resource sharing and avoiding redundant independent analysis of the same environmental features.
Data Source
AI summary
When providing augmented reality display to users in an environment, two or more electronic devices operable to analyse the environment for augmented reality display purposes that are near to each other share data and/or processing relating to the analysis of the environment for augmented reality display purposes, with each device then using the data it receives from the other device when providing an augmented reality display to a user.