Design of a Water Surface Intelligent Drowning Rescue UAV Based on Deep Learning
This paper points out that drowning has become a major public health problem worldwide,and the use of UAVs for water surface rescue has become a current research hotspot;the main difficulties in using UAVs for water drowning rescue are:how to accurately identify the target being rescued in the first time,how to quickly reach the location and accurately deliver rescue supplies to the target in need,and how to continuously track the rescue target,update the location,and maintain communication after delivering rescue supplies.In response to these difficulties,this paper utilizes deep learning technology to integrate target self-recognition systems,hovering delivery systems,target tracking systems,UAV voice and communication systems,and combines artificial intelligence technology to build a multi-dimensional UAV water surface rescue system based on deep learning.It mainly targets drowning scenarios for rescue,which can shorten rescue time,improve rescue efficiency and success rate,and provide a new intelligent solution for UAV water surface rescue.At the same time,the built system can be extended to various types of water surface and land natural disaster rescue work,providing reference for UAV rescue research work.
万方数据
维普
