Emergency Call Voice-Visual Correlation for Scene Feature Identification
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Solution Overview
Problem
Existing emergency communication systems struggle to accurately identify and convey relevant information from emergency calls, particularly when callers provide unclear or inaccurate descriptions, and there is a disconnect between the location of the caller and the actual emergency scene.
Innovation Solution
A system that combines voice recognition with visual content analysis to extract key words and phrases from emergency calls, using spatial and temporal data to correlate audio symbols with visual features, enabling efficient identification of objects and situations in the emergency scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If voice recognition is used to extract audio symbols from emergency calls, then information extraction speed is improved, but accuracy deteriorates when callers provide unclear or inaccurate descriptions
Solution Approach 1:
The patent introduces visual content (images or video frames from the emergency scene) as an intermediary to bridge the gap between potentially inaccurate audio descriptions and accurate feature identification. The system correlates audio symbols with visual features by comparing described objects against actual visual content from the scene, using the visual data as a mediator to verify and correct audio-based identifications.
Solution Approach 2:
The system implements feedback by using visual content analysis to verify and correct audio symbol extraction results. When voice recognition extracts audio symbols, the system cross-references these with visual features detected from the emergency scene, providing feedback that confirms accurate identifications or corrects inaccuracies based on actual visual evidence from the scene.
2Measurement precision
If spatial and temporal data are used to correlate audio symbols with visual features, then feature identification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies multi-functionality by using a single integrated system that simultaneously handles voice recognition, visual content analysis, spatial data processing, and temporal correlation. The emergency response system performs multiple functions including extracting audio symbols, analyzing visual features, correlating spatial-temporal data, and generating unified feature identifications, reducing the need for separate specialized systems.
Solution Approach 2:
The system merges previously separate functions into a unified process: voice recognition and visual content analysis are combined, as are spatial data processing and temporal correlation. By integrating these functions into a single correlated analysis framework, the system manages complexity through consolidation rather than through multiple independent subsystems.
3Reliability
If visual content analysis is combined with voice recognition, then emergency response accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-processing and preparing visual content for analysis before it is needed for correlation with audio symbols. The system pre-analyzes visual features from the emergency scene and organizes spatial-temporal data in advance, so that when voice recognition extracts audio symbols, the visual reference data is already ready for rapid comparison and correlation, minimizing additional processing time.
Data Source
AI summary
A method includes receiving visual content of a physical location, the visual content identified by a content timestamp, the physical location identified by a spatial identifier; receiving audio content of a call; performing voice recognition on the call to extract a first audio symbol; receiving a first timestamp of the call, the first timestamp indicating a time at which the call was initiated or a time extracted from the call by voice recognition; and determining a feature in the visual content, at least in part based on the first audio symbol, the feature defined by a person, object, or situation.