Multimedia Event Processor for Emergency Notification Aggregation
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Solution Overview
Problem
Current systems lack a coordinated mechanism for aggregating and notifying emergency responders of high-priority events captured by disparate mobile devices, limiting real-time notification and response capabilities.
Innovation Solution
A multimedia event processor that correlates event data from multiple devices, determines event types, and initiates targeted communications with emergency contacts, using pattern recognition and context analysis to prioritize and route notifications effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If event data is collected from multiple disparate mobile devices, then the quantity and diversity of event information increases, but the complexity of aggregating and coordinating this data increases
Solution Approach 1:
The patent introduces a server as an intermediary component that receives event data from multiple mobile devices, aggregates the data, determines event types using pattern recognition, and coordinates notifications to emergency contacts. This intermediary server simplifies the overall system complexity by centralizing the aggregation and analysis functions, rather than requiring direct peer-to-peer coordination between multiple devices.
Solution Approach 2:
The system implements feedback mechanisms where the server analyzes incoming event data, determines event types based on patterns, and uses this analysis to coordinate appropriate emergency notifications. The feedback loop allows the system to learn from aggregated data and improve event type determination and notification coordination over time.
2Loss of time
If real-time notification coordination is implemented across multiple devices, then emergency response time improves, but the complexity of synchronizing notifications increases
Solution Approach 1:
The server acts as a central coordinator that receives event data from multiple devices, determines the event type, and then coordinates notifications to appropriate emergency contacts. This intermediary approach enables real-time response by centralizing the decision-making logic for notification coordination, eliminating the need for complex peer-to-peer synchronization protocols between multiple mobile devices.
Solution Approach 2:
The patent merges the notification coordination function into a centralized server that combines data from multiple sources and generates unified emergency notifications. This consolidation simplifies the synchronization complexity by having a single entity responsible for coordinating all emergency communications rather than requiring multiple devices to independently synchronize their notification actions.
3Measurement precision
If event data from multiple sources is aggregated and analyzed, then the accuracy of event type determination improves, but the processing time and computational resources increase
Solution Approach 1:
The server implements pattern recognition and analysis of aggregated event data to determine event types with high accuracy. The feedback mechanism allows the system to learn from multiple data sources and improve event type determination over time, while the centralized processing architecture optimizes computational efficiency by consolidating analysis operations in a single location with sufficient computational resources.
Data Source
AI summary
An approach for enabling event notifications to be directed to one or more contacts based on the acquiring of common event data by one or more wireless devices is described. A multimedia event processor receives event data corresponding to an event from a mobile device. The event data is associated with a tag for describing the event data and classified as corresponding to a level of severity based on the tag. A target destination is then determined for transmission of a notification message, the event data, or a combination thereof.