Control method for image beautification and video clipping of UAV airborne camera

Abstract

The invention discloses a control method for image beautification and video clipping of an on-board camera of an unmanned aerial vehicle. The method includes: sending a control instruction from a remote control terminal to the unmanned aerial vehicle. The control instruction includes image beautification, video clipping, etc. A series of camera setting instructions; the UAV receives the control instructions, converts the received control instructions into camera setting instructions and sends them to the onboard camera; the onboard camera recognizes the camera setting instructions, and then sets the corresponding camera image output . The invention can realize the beautification and video editing of the picture and picture quality of the airborne camera through the APP on the mobile device, so as to make the drone's aerial photography effect better.

Description

technical field [0001] The invention relates to the field of aircraft, in particular to a control method for realizing image beautification and video clipping of an onboard camera of an unmanned aerial vehicle. technical background [0002] At present, UAVs are widely used in civilian, commercial and military fields. In the civilian field, more and more extreme sports enthusiasts use UAVs to record. In addition to tracking aerial photography, drones have also entered the logistics industry, which can deliver goods to remote areas where human delivery is difficult and slow. Therefore, UAVs have a wide range of applications and broad market prospects. [0003] Since the aerial photography effect is easily affected by the environment and other disturbances when the UAV is flying in the air, it has high requirements for the climate environment, and the airborne camera installed on the UAV cannot perform real-time monitoring according to the actual aerial photography environment...

AI Technical Summary

Problems solved by technology

[0003] Since the aerial photography effect is easily affected by the environment and other disturbances when the UAV is flying in the air, it has high requirements for the climate environment, and the airborne camera installed on the UAV cannot perform real-time monitoring according to the actual aerial photography environment and climate. Adjustment, so that in the case of a relatively harsh environment, most of the images returned by the drone’s onboard camera are blurry or even unusable. At the same time, the onboard camera itself cannot realize image beautification, video editing and other functions

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