External Microphone Placement for Clear Incident Audio Capture
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Solution Overview
Problem
Surveillance cameras often capture audio with inconsistent quality, particularly at locations farther from the camera, leading to poor audio clarity that can obscure critical details in investigations.
Innovation Solution
An electronic computing device analyzes video recordings using a video analytics engine to identify incidents of interest and determine audio quality, recommending the placement of external microphones at optimal positions or orientations to improve audio quality to a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If surveillance cameras use integrated microphones to capture audio, then the device complexity is reduced, but the audio quality at locations farther from the camera deteriorates
Solution Approach 1:
The system segments the audio capture function by separating the camera (video capture) from external microphones (audio capture). The camera and microphones are independent components that can be optimally positioned for their respective functions, with multiple microphones potentially deployed at different locations to capture audio from specific areas of interest.
Solution Approach 2:
The system introduces an intermediary computing device that receives video data from the camera and audio data from external microphones, processes them together, and correlates them temporally and spatially. This intermediary coordinates the separate video and audio capture systems to produce synchronized multi-media recordings.
2Area of stationary object
If a single camera position is used to monitor a large area, then the area of coverage is increased, but the audio quality at distant locations deteriorates
Solution Approach 1:
The monitoring area is segmented into multiple zones, each with its own optimally positioned external microphone. This allows the system to maintain good audio quality in each specific zone while collectively covering a large overall area, rather than relying on a single distant microphone.
Solution Approach 2:
The system adds the spatial dimension of microphone placement independently from camera positioning. Multiple microphones can be distributed throughout the monitored area at different locations, creating a three-dimensional audio capture network that complements the two-dimensional video coverage.
3Measurement precision
If external microphones are added to improve audio quality, then the audio quality is improved, but the device complexity increases
Solution Approach 1:
The external microphones serve multiple functions: they capture audio for incident scenes, provide ambient sound context, and can be positioned to monitor specific high-risk areas. This multi-functionality justifies the added device complexity by delivering comprehensive audio surveillance capabilities.
Solution Approach 2:
The system includes automated processing that receives, synchronizes, and processes video and audio data without manual intervention. The computing device automatically correlates temporal and spatial information, reducing the operational complexity despite the added hardware components.
4Reliability
If video analytics engine analyzes all video recordings continuously, then the detection of incidents is improved, but the processing time and energy consumption increase
Solution Approach 1:
The video analytics engine performs preliminary analysis of video recordings to identify potential incidents before full processing is initiated. This preliminary detection allows the system to prioritize and process only those time periods containing incidents, reducing overall processing time and energy consumption while maintaining reliable incident detection.
Data Source
AI summary
A process of improving quality of audio captured corresponding to an incident. An electronic computing device determines that an incident is likely to occur at a particular location within a field of view of a camera when the analysis of the video recordings indicate a repeated pattern of occurrences of the incident at the particular location within the field of view. When the device determines that audio quality of the audio of the video recordings captured corresponding to the particular location is below a predetermined audio quality threshold, the electronic computing device identifies a position or orientation relative to the particular location for placing an external microphone and improving the audio quality of the audio captured corresponding to the particular location. The electronic computing device then provides an electronic notification with a recommendation to place the external microphone at the identified position or orientation relative to the particular location.