Adjustable Laser Microphone Dynamic Targeting
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Solution Overview
Problem
Laser microphones face challenges in capturing high-quality audio due to variations in surface location, material, and reflectivity, leading to low audio quality.
Innovation Solution
A processor-coupled laser microphone system that dynamically adjusts targeting characteristics based on feedback signals, such as signal-to-noise ratio, automatic speech recognition, video data, beamforming data, and radar data, to focus on optimal surfaces for improved audio capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the laser microphone focuses on a surface, then audio can be captured, but audio quality deteriorates when surface location, material, or reflectivity is unfavorable
Solution Approach 1:
The system dynamically adjusts the focusing characteristics of the laser microphone based on feedback signals. The processor continuously monitors audio quality metrics and modifies targeting parameters in real-time to maintain optimal focus on surfaces with favorable acoustic properties, transforming a static system into an adaptive one that overcomes surface dependency
Solution Approach 2:
The system employs feedback signals including signal-to-noise ratio measurements, automatic speech recognition results, video data, beamforming data, and radar data to assess audio quality and surface characteristics. This feedback loop enables the processor to identify unfavorable surfaces and adjust focusing characteristics accordingly, converting information about surface conditions into actionable adjustments that improve audio capture
2Measurement precision
If the laser microphone uses fixed targeting characteristics, then device complexity is reduced, but audio quality varies significantly with surface conditions
Solution Approach 1:
The laser microphone system performs self-adjustment by automatically analyzing feedback signals and modifying its own focusing characteristics without external intervention. The processor within the system autonomously determines when adjustment is needed and executes the focusing changes, enabling the device to service itself and maintain optimal performance across varying surface conditions
Solution Approach 2:
The system integrates multiple functions including audio capture, feedback signal processing, surface characterization using radar and video data, and automatic focusing adjustment within a single unified system. This multi-functionality allows the laser microphone to adapt to diverse surface types and conditions while maintaining a cohesive device architecture
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the capture of high-quality audio by dynamically readjusting the laser microphone's targeting to improve signal-to-noise ratio and speech recognition, effectively addressing the limitations of surface-dependent audio quality.
Implementation Method 1
the microphone may direct the light beam to a surface that is proximate to a sound source, and vibrations of the surface, caused by sound waves from the sound source, may change properties of the reflected light beam
Implementation Method 2
the vibrations of the surface may change a frequency of the light beam and a phase of the light beam
Data Source
AI summary
A method of capturing audio includes initiating capture, at a laser microphone, of first audio of an area of interest. The first audio is captured while the laser microphone is focused on a first target surface associated with the area of interest. The method also includes generating adjustment parameters based on a feedback signal to adjust targeting characteristics of the laser microphone. The method further includes adjusting the targeting characteristics of the laser microphone based on the adjustment parameters to focus the laser microphone on a second target surface associated with the area of interest. The method also includes initiating capture, at the laser microphone, of second audio of the area of interest in response to adjusting the targeting characteristics. The second audio has an audio quality that is greater than the first audio.