The system consists of an audio signal filter that takes the operating state parameters of the UAV component as the input signal and a microphone coupled to it. The audio signal filter performs a comprehensive analysis on the operating status of the carrier components and the distance between the carrier components and the microphone, and filters out the noise information emitted by the operation of the drone.
GoPro pointed out that the importance of this technology lies in its ability to monitor the operating status of the components of the carrier from multiple aspects such as speed, acceleration, heat dissipation information, and rotor speed. This noise elimination system provides a new method for in-depth identification of noise-producing components, as well as a new way for audio signal filters to process noise information. Through the identification process of the noise generating components, the noise reduction system generates a baseline noise profile that can be used by the audio signal filter. This baseline noise profile can set the noise reduction starting point for the user to adjust the noise filtered out by the noise reduction system. The problem with using drones to shoot video is that the noise from drone operations will drown out the background sounds needed to shoot the video. In this case, the audio signal filter that takes the operating state parameters of the aircraft component as the input can completely integrate the captured video signal with the recorded audio signal, which is a new way to solve the problem of drone noise.