Real-Time Language Heat-Map Data Structure for Surveillance
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Solution Overview
Problem
The increasing number of audio and video feeds in surveillance systems makes it difficult to review feeds in real-time and derive useful information, leading to a decrease in the ability to identify situations of concern or opportunity.
Innovation Solution
A system for real-time language detection and language heat-map data structure creation and modification using a matrix of audio recording devices, which identifies spoken languages and takes automated actions based on detected language-specific speakers across geographic regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the number of audio and video feeds increases to achieve comprehensive surveillance coverage, then the area of stationary object is improved, but the ease of operation deteriorates as it becomes difficult to review all feeds in real-time
Solution Approach 1:
The patent extracts and isolates the language audio signal from the complex video feed data, separating the critical information (spoken language) from the overwhelming visual data. This allows operators to focus on audio language detection rather than manually reviewing numerous video feeds, resolving the contradiction between comprehensive coverage and ease of operation
Solution Approach 2:
The system introduces an intermediary processing layer that automatically detects and analyzes language in audio feeds, creating a bridge between the raw surveillance data and human operators. This intermediary automatically identifies situations of concern based on language detection, eliminating the need for operators to manually review all feeds while maintaining comprehensive surveillance coverage
2Reliability
If centralized command centers are deployed to monitor recording devices, then the reliability of surveillance is improved, but the device complexity increases
Solution Approach 1:
The system implements self-service capabilities where the surveillance network automatically performs language detection, analysis, and situation identification without requiring complex centralized command centers. The distributed audio processing units autonomously analyze their respective feeds and communicate critical findings, reducing the need for complex centralized infrastructure while maintaining high reliability through automated monitoring
Data Source
AI summary
A process for real-time language detection and language heat map data structure modification includes a computing device receiving, from a first electronic audio source, first audio content and identifying a first geographic location of the first audio content. The computing device then determines that the first audio content includes first speech audio and identifies a first language in which the first speech audio is spoken. A first association is created between the first geographic location and the first language, and a real-time language heat-map data structure modified to include the created first association. Then a further action is taken by the computing device as a function of the modified real-time language heat-map data structure.