Mobile Edge Computing for Low-Latency AR Surveillance
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Solution Overview
Problem
Current systems fail to provide live, high-resolution virtual-reality, mixed-reality, and augmented-reality services with low latency in permissive, semi-permissive, and non-permissive environments, particularly in remote or hostile locations where mobility and connectivity are compromised.
Innovation Solution
A system comprising a surveillance module with multi-spectral imaging sensors, a mobile high-performance computing module for data processing, and a long-range link for transmitting processed data to create a low-latency, 3D visual mosaic, which is then displayed in a virtual environment using an integration module, enabling global reach and immersive viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless connections are used to provide mobility, then ease of operation is improved, but reliability deteriorates in semi-permissive and non-permissive environments
Solution Approach 1:
The patent introduces a mobile edge computing platform as an intermediary between surveillance assets and command centers. This platform processes and relays data through multiple communication channels, ensuring continuous operation even when direct wireless connections are disrupted in hostile environments.
Solution Approach 2:
The system dynamically adapts communication protocols and data transmission methods based on environmental conditions. In semi-permissive and non-permissive environments, the system automatically adjusts to maintain connectivity through alternative pathways while preserving mobility capabilities.
2Measurement precision
If high-resolution multi-spectral imaging is implemented, then measurement precision is improved, but loss of information increases due to data volume
Solution Approach 1:
The mobile edge computing platform extracts and processes only the most critical information from multi-spectral imaging data before transmission. This selective extraction maintains measurement precision for essential parameters while reducing overall data volume to prevent information loss during transmission.
Solution Approach 2:
The system dynamically adjusts imaging parameters such as resolution, spectral bands, and frame rate based on operational requirements and transmission conditions. This allows the system to maintain necessary measurement precision while adapting data volume to available communication capacity.
3Productivity
If real-time processing is implemented, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent divides processing tasks across multiple segments: initial processing occurs at the surveillance asset level, intermediate processing occurs at the mobile edge computing platform, and final processing occurs at the command center. This segmentation enables real-time productivity while distributing energy consumption across the system architecture.
Solution Approach 2:
The system performs partial processing at mobile platforms and partial processing at fixed facilities. Not all data requires the same level of processing, allowing the system to achieve real-time capabilities for critical functions while conserving energy for less time-sensitive operations.
Data Source
AI summary
A system for generating a low latency, ultra-high resolution representation of a surveillance subject at a remote location relative to a viewing site at which the representation is presented includes a surveillance module configured to obtain image data of the surveillance subject, a mobile HPC module in communication with the surveillance module via a first communication link to receive the image data and process the image data, a long range link in communication with the mobile HPC module via a second communication link to communicate the processed image data to the viewing site via a third communication link, and an integration module disposed at the viewing site. The integration module is configured to receive the processed image data via the third communication link, and display a virtual environment based on the processed image data.