Method, device, computer equipment and storage medium for unmanned aerial vehicle rescue materials release

Abstract

The invention relates to a method, device, computer equipment and storage medium for unmanned aerial vehicle rescue materials release. The method includes obtaining the position of the person in need of rescue; obtaining the release accuracy of the rescue material; and calculating the release of the rescue material according to the release accuracy and the position of the person in need of rescue Height; send the release height to the drone, so that the drone releases the materials at the release height to get the release result; judge whether the release result is completed; if not, continue to wait, and return to judge whether the release result is complete freed. The present invention determines the position of the person in need of rescue by acquiring the image data of the rescue area, and then calculates the release height of the rescue materials, and accurately releases the rescue materials to the designated position according to the release height, so that the position of the victim can be accurately grasped, And use the drone to release the relief materials more accurately to the location of the victims.

Description

technical field [0001] The present invention relates to a material release method, and more specifically refers to a method, device, computer equipment and storage medium for unmanned aerial vehicle rescue material release. Background technique [0002] Drones are gaining increasing support from researchers and organizations around the world as a complement to search and rescue operations. Many rescue systems including remote-controlled drones have been proposed to establish robotic assistance in emergency management, considering the need for fully autonomous rescue by unmanned aircraft. [0003] But when drones support rescue efforts, the separation of crowded and non-crowded areas is obvious for the safe flight of drones. A new method is to enhance the no-fly zone avoided by crowds by using deep CN , due to the definition of the no-fly zone, personnel are required to control it in the no-fly zone, which will increase the cost, and the accuracy is not high, it is impossibl...

AI Technical Summary

Problems solved by technology

[0003] But when drones support rescue efforts, the separation of crowded and non-crowded areas is obvious for the safe flight of drones. A new method is to enhance the no-fly zone avoided by crowds by using deep CN , due to the definition of the no-fly zone, personnel are required to control it in the no-fly zone, which will increase the cost, and the accuracy is not high, it is impossible to detect the positions of all victims, and there is a problem of missed rescue.

Images