Edge Computing AR Data Extrapolation
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Solution Overview
Problem
Current augmented reality systems face challenges in accurately depicting the location and movement of objects, especially when multiple sources provide conflicting or outdated information, leading to inaccurate representations in real-time environments.
Innovation Solution
The implementation of a 6G network slicing framework with edge computing and software-defined networking (SDN) enables the integration of crowd-sourced data from various devices, such as mobile devices, drones, and surveillance cameras, to accurately determine and extrapolate the location, speed, and direction of moving objects, providing enriched and predictive augmented reality experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from multiple sources is integrated to improve AR accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent introduces edge computing nodes as intermediary components that aggregate and process data from multiple sources (mobile devices, drones, surveillance cameras) before providing information to the AR system. These edge nodes serve as mediators that handle the complexity of multi-source data integration, validation, and fusion, thereby improving location accuracy without directly increasing the complexity of end-user AR devices.
Solution Approach 2:
The system is segmented into multiple functional components: data collection from diverse sources, edge computing nodes for local processing and validation, data fusion layers, and AR display systems. This segmentation allows each component to specialize in specific tasks, improving overall measurement precision while distributing complexity across the architecture rather than concentrating it in a single system.
2Speed
If real-time data processing is implemented to improve AR responsiveness, then speed improves, but use of energy increases
Solution Approach 1:
The patent extracts computationally intensive data processing tasks from mobile devices and relocates them to edge computing nodes. By taking out the heavy processing workload from battery-powered devices and performing it at the edge infrastructure, the system achieves real-time processing speed while significantly reducing energy consumption at the device level.
Solution Approach 2:
Edge computing nodes act as intermediaries between data sources and AR applications, performing real-time data validation, fusion, and processing. This intermediary layer enables responsive AR experiences without requiring continuous high-energy processing at the mobile device, as the edge nodes handle the computational burden.
3Reliability
If network slicing is implemented to improve AR service quality, then reliability improves, but device complexity increases
Solution Approach 1:
The patent introduces network slicing as an intermediary mechanism that creates dedicated virtual networks for AR services. These slices act as mediators between the physical network infrastructure and AR applications, providing guaranteed quality of service, prioritized data transmission, and isolated resource allocation. This improves service reliability by ensuring dedicated network resources while abstracting the complexity from end-user devices.
Data Source
AI summary
Global position system tagging the movement of an object and extrapolating its direction and speed can be used for various services including emergency-based services. Location data can be computed using edge computing nodes. The extrapolation system can account for feedback from responding user devices and utilize the user device's location at the time of reporting to facilitate determining the direction, location, and/or speed of a moving object. This data can then be utilized to generate augmented reality displays for mobile devices and/or vehicles that utilize the system. The ability to calculate directional information with edge computing nodes can comprise an ability to add enriched data by predicting an object's whereabouts, route, and/or final destination.