Drone Microphone Noise Reduction via Acoustic Shielding
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Solution Overview
Problem
Drones face challenges in capturing high-quality audio signals due to distance from sound sources and interference from self-generated noise such as rotor and wind turbulence, making it difficult to synchronize audio and video recordings.
Innovation Solution
The system employs microphones on drones to receive and process audio signals, using techniques like beam forming and noise reduction methods to enhance signal quality, and controls flight characteristics based on identified audio sources to minimize noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio signals are captured via a separate microphone on the remote control, then audio signals can be captured, but synchronization between audio and video becomes difficult due to latency issues
Solution Approach 1:
The patent combines the audio capture function with the drone itself by integrating microphones into the drone body, rather than using a separate remote control microphone. This merging eliminates the synchronization latency issue by capturing both video and audio from the same platform at the same location, ensuring they remain naturally synchronized without requiring complex latency compensation algorithms.
2Adaptability or versatility
If the drone operates at a considerable distance from the sound source, then the drone can perform its primary functions, but the captured audio signal quality deteriorates
Solution Approach 1:
The patent employs dynamic microphone positioning systems that allow the microphones to move relative to the drone body and adjust their orientation toward the sound source in real-time. This dynamic adjustment enables the drone to maintain optimal audio capture quality even when operating at various distances from the sound source, effectively decoupling the trade-off between operational range and audio quality.
3Measurement precision
If microphones are positioned on the drone, then audio signals can be captured closer to the source, but noise from motors and rotors degrades the audio signal
Solution Approach 1:
The patent segments the drone structure into distinct acoustic zones by positioning microphones in locations physically separated from the motor and rotor assemblies. The drone body itself acts as an acoustic barrier, creating spatial segmentation between the noise-generating components and the sensitive microphone elements. This segmentation allows the microphones to capture sound from external sources while being shielded from self-generated motor and rotor noise.
4Speed
If wind turbulence is present during drone operation, then the drone can maintain flight, but the captured audio signal becomes degraded
Solution Approach 1:
The patent introduces acoustic shielding structures and windbreaks as intermediary elements between the external environment and the microphones. These intermediaries protect the microphones from direct exposure to wind turbulence while allowing them to continue capturing audio signals. The shielding structures act as a buffer that filters out wind-induced noise without completely blocking sound from the target source, thus maintaining audio clarity during active drone flight in windy conditions.
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
This approach effectively improves the quality of audio signals captured by drones, reducing noise interference and enabling better synchronization with video recordings.
Implementation Method 1
receiving audio signals via one or more microphones positioned relative to a location on a drone
Data Source
AI summary
A drone system and method. Audio signals are received via one or more microphones positioned relative to a location on a drone and one or more of the audio signals are identified as of interest. Flight characteristics of the drone are then controlled based on the audio signals that are of interest.