Radio Alert System for Keyword-Based Audio Prioritization
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Solution Overview
Problem
Radio users, particularly in public safety communication systems, face challenges in distinguishing important audio messages from irrelevant or overlapping communications due to environmental noise and manual volume adjustments, leading to a high likelihood of missing critical information.
Innovation Solution
A method and system that generate keywords based on contextual parameters to provide alerts, modifying audio streams by adjusting volume, frequency, and adding sound effects, and using haptic and visual feedback to ensure users focus on important messages, even in noisy environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual volume adjustment is used to filter radio messages, then users can reduce distraction from irrelevant messages, but users may miss important information and the process is manually intensive
Solution Approach 1:
The radio system automatically monitors and analyzes incoming audio messages, generating keywords and detecting important communications without user intervention. The system self-adjusts volume levels and provides alerts based on detected keywords, eliminating the need for manual volume control while ensuring important messages are not missed.
Solution Approach 2:
The system provides visual and haptic feedback to users when important keywords are detected in radio communications. This feedback loop allows the system to automatically respond to detected patterns and alert users to important messages, replacing manual monitoring with an automated feedback mechanism.
2Loss of information
If multiple radio communications are broadcast simultaneously, then users receive comprehensive information, but important messages become difficult to identify among overlapping audio
Solution Approach 1:
The system extracts and processes audio streams from multiple radio communications simultaneously, analyzing each stream independently for keywords. By separating the analysis of multiple audio sources and selectively alerting users to messages containing important keywords, the system maintains comprehensive information reception while making important messages easily identifiable.
Solution Approach 2:
The system applies different processing and alerting strategies to different audio streams based on their content and relevance. Instead of treating all communications uniformly, the system identifies and highlights specific messages containing important keywords, giving different quality of attention to different audio sources.
3Ease of operation
If environmental noise and competing audio are present, then users can hear radio communications, but important messages become difficult to hear over background noise
Solution Approach 1:
The system transitions from purely audio-based communication to multi-sensory feedback by adding visual displays and haptic vibrations. When important keywords are detected, the system provides alerts through multiple dimensions (visual and tactile), allowing users to perceive important messages even when audio is obscured by environmental noise.
Data Source
AI summary
A method and system for providing alerts for radio communications are provided. One or more keywords are generated based on one or more contextual parameters associated with a radio device. An audio stream is received at the radio device from a radio transmitter. One or more of the one or more keywords are detected in the audio stream, and an alert for the audio stream is provided to a user of the radio device.