The unmanned aerial vehicle(UAV) needs to perceive and understand complex and change environments in real time

including weather conditions

terrain

obstacles

etc.It is difficult to plan comprehensive and efficient paths in dynamic environments.Therefore

a research proposes an integrated intelligent AI for UAV inspection task planning algorithm.Firstly

it enhances the image of the electric UAV inspection

and based on this

it corrects the intelligent AI vision collected during the inspection.Using this as input

combine the UAV and intelligent AI to design the process for UAV inspection task planning algorithm.Finally

the experimental results demonstrate that the inspection images corrected by the research algorithm have higher clarity and can completely filter out noise.Under this algorithm

the inspection coverage of UAVs is wider

with good planning effect on inspection tasks.