Unmanned aerial vehicles called drones are utilised for a range of tasks. These gadgets were initially operated manually and remotely. But nowadays, artificial intelligence is frequently included into drones, replacing parts or all tasks. Drone suppliers can gather and exploit visual as well as environmental data by using information gathered by sensors connected to that same drone in combination with AI. By enabling autonomous or aided flight, such information allows easy access and facilitates operations. Drones nowadays are widely viable to individuals and companies as a component of smart mobility solutions. Drones powered by AI mostly utilize computer vision. Drones can now recognize items while they're in the air and analyse and record data on the ground thanks to this technology. Drones can recognise, classify, or track objects with the help of neural networks. Drones can find and track targets while also avoiding crashes thanks to the real-time combination of this data. While employing neural network models in drones, researchers really should teach the algorithm of machine learning how it can recognise and accurately classify objects in a variety of settings. This is accomplished by supplying the algorithm with specifically labelled photos. Drone data analysis is currently extending further into cloud utilizing bandwidth monitoring enabling data processing, where decisions will be made to protect property but also human lives based on picture identification.