Edge Metadata Classification for Contextual Enrichment
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Solution Overview
Problem
Mobile device users often capture photos and videos while visiting new places but lose additional information about their surroundings, which could be valuable for learning about and sharing local culture, businesses, and security insights.
Innovation Solution
A method and system that capture and process metadata at the edge of a network, classifying and tagging it to provide context to user device data, allowing users to share information about their environment, including location, events, and security alerts, through a machine learning engine and edge cloud service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users only capture photos and videos with mobile devices, then the captured data is simple and easy to store, but additional contextual information about the surrounding environment is lost
Solution Approach 1:
The patent introduces an intermediary metadata processing system that captures environmental context information separately from user photos and videos. This intermediary system collects metadata from various sources (sensors, cameras, microphones) and processes it independently before combining with user content, thus recovering lost environmental information without directly complicating the user's mobile device
Solution Approach 2:
The system enables self-service by allowing the metadata processing system to automatically capture, classify, and process environmental context information without requiring user intervention. The system autonomously aggregates data from multiple sources, applies classification algorithms, and generates contextual information that supplements user-generated content
2Loss of information
If metadata is captured and processed at the edge of the network, then contextual information about locations is preserved and enriched, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the metadata processing function into distinct modular components: data collection from multiple sources, classification processing, aggregation logic, and output generation. This segmentation allows the edge processing system to handle complex metadata tasks through specialized sub-systems, making the overall complexity more manageable and maintainable
Solution Approach 2:
The system adds another dimension to data processing by implementing a multi-layered approach: raw metadata collection, classification layer, aggregation layer, and application layer. This dimensional expansion allows the system to process environmental context information comprehensively without overwhelming any single processing component
3Loss of information
If classified metadata with tokens and tags is generated and transmitted, then users gain insights into their surroundings and security risks, but the data processing and transmission overhead increases
Solution Approach 1:
The patent applies preliminary action by pre-classifying and tagging metadata before transmission to user devices. The system performs classification, token assignment, and tag generation in advance at the edge processing system, so that when metadata is transmitted to users, it is already organized and ready for immediate consumption, reducing processing time at the user end
Data Source
AI summary
In one embodiment, a method includes receiving, by a storage device located at an edge of a network, user device data from a first user device and receiving, by the storage device, metadata associated with an environment of the first user device. The method also includes classifying, by the storage device, the metadata into a category to generate classified metadata and applying, by the storage device, a policy to the classified metadata to generate policy-based classified metadata. The method further includes assigning, by the storage device, one or more tokens to the policy-based classified metadata and assigning, by the storage device, one or more tags to the policy-based classified metadata. The method further includes transmitting, by the storage device, the one or more tags to a second user device in accordance with the one or more tokens.