Alert System Detecting Command Reception Barriers
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Solution Overview
Problem
First responders face challenges in communicating verbal commands effectively due to barriers such as headphones or ambient noise, which can lead to public safety incidents escalating or the wasteful deployment of resources.
Innovation Solution
A system that determines, using multimedia data and video analysis, if a target person has heard an aural command and alerts the commanding person when the likelihood of non-compliance meets a threshold, allowing for alternative communication methods to be employed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If verbal commands are issued by first responders, then communication with persons of interest is attempted, but the commands may not be heard due to barriers such as headphones or ambient noise
Solution Approach 1:
The system continuously monitors video and audio data to detect whether the person of interest has heard the verbal command. Video analysis detects barriers like headphones, while audio analysis measures ambient noise levels. This feedback loop allows the system to determine communication effectiveness in real-time and alert the first responder when the command has not been heard, enabling corrective action.
2Productivity
If backup resources are deployed when commands are not followed, then public safety incidents may be managed, but technical resources are wasted when the person simply did not hear the command
Solution Approach 1:
The system performs preliminary analysis of video and audio data to determine whether the person of interest heard the verbal command before backup resources are deployed. By detecting barriers to hearing in advance and providing alerts to the first responder, the system enables corrective communication attempts without unnecessarily deploying additional resources, thereby improving resource utilization efficiency.
3Reliability
If the system analyzes multimedia data to determine command reception, then communication effectiveness is improved, but device complexity increases
Solution Approach 1:
The system uses a single computing device that performs multiple functions: capturing video data, capturing audio data, analyzing video for barriers to hearing, analyzing audio for ambient noise levels, and generating alerts. By consolidating these functions into one multi-functional device rather than separate specialized devices, the system improves command reception detection accuracy while minimizing the increase in overall system complexity.
Data Source
AI summary
A device, system and method for controlling a communication device to provide alerts. One or more computing devices determine, using multimedia data received from one or more multimedia devices at a location of a commanding person, that an aural command has been directed from the commanding person to a target person. The one or more computing devices identify, using video data received from the one or more multimedia devices, one or more barriers to the target person hearing the aural command. The one or more computing devices determine, based on the one or more barriers that are identified using the video data, a likelihood that the target person has not heard the aural command. When the likelihood that the target person has not heard the aural command meets a threshold condition, the one or more computing devices cause a communication device associated with the commanding person to provide an alert.