Edge Intelligence Service Chains for Network-Resilient ACI
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Solution Overview
Problem
Existing documentation systems lack efficiency and accuracy in automating the collection and processing of encounter information, particularly in clinical settings, leading to suboptimal generation and distribution of medical records.
Innovation Solution
An ambient cooperative intelligence system that integrates machine vision and audio recording systems to automate the collection and processing of clinical encounter information, using microphone arrays and null-steering precoding to enhance audio capture, and machine vision to identify participants, generating accurate and efficient medical records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If centralized servers and cloud computing are used to provide intelligent services, then service functionality is improved, but network dependency increases and services become unavailable when network connection is lost
Solution Approach 1:
The patent segments the centralized intelligence system into distributed edge intelligence units deployed across multiple devices. Each edge device maintains local intelligence capabilities, dividing the monolithic cloud system into autonomous segments that can operate independently when network connectivity is lost.
Solution Approach 2:
The patent introduces an intermediary layer between cloud servers and end devices through edge computing nodes. These intermediaries cache data and models locally, enabling services to continue functioning using local resources when the network connection to centralized servers is unavailable.
2Measurement precision
If more data is collected and transmitted to cloud servers for processing, then service intelligence is improved, but network bandwidth consumption and privacy risks increase
Solution Approach 1:
The patent extracts intelligence processing capabilities from centralized cloud servers and places them at the network edge. This extraction allows data to be processed locally where it is generated, eliminating the need to transmit raw data across the network while maintaining high service intelligence through local inference and analysis.
3Adaptability or versatility
If heterogeneous devices with different capabilities are supported, then system versatility is improved, but coordination and collaboration among devices become more complex
Solution Approach 1:
The patent implements a universal service chain framework that can accommodate heterogeneous devices with different capabilities. The service chain architecture provides standardized interfaces and abstraction layers that enable diverse devices to participate in collaborative services without requiring complex device-to-device coordination protocols.
4Reliability
If services are distributed across multiple edge devices, then service reliability is improved, but service chain coordination and management become more complex
Solution Approach 1:
The patent implements feedback mechanisms in the service chain management system where devices report their status, capability changes, and performance metrics to a coordination layer. This feedback enables dynamic service chain composition and optimization, allowing the system to manage distributed services efficiently through continuous monitoring and adaptive reconfiguration.
Data Source
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AI summary
A A method, computer program product, and computing system for generating a three-dimensional model of at least a portion of a three-dimensional space incorporating an ACI system via a video recording subsystem of an ACI calibration platform; and generating one or more audio calibration signals for receipt by an audio recording system included within the ACI system via an audio generation subsystem of the ACI calibration platform.