Artificial Intelligence Empowered Models for UAV Communications

UAVs and AI are used for a variety of tasks, including object detection, segmentation, tracking, facial recognition, fire and smoke detection, and so on. Drones can collect data from sensors thanks to AI, resulting in a smart, agile model for businesses and consumers. AI technology aids UAVs in identifying things while in flight, resulting in data collection and analysis on the ground. UAVs can recognize and track objects using a neural network, which is considered the foundation model of AI. Drones also help in conducting risky work in construction sites and monitoring agricultural activities. UAVs use a variety of methods from machine learning, which is a subset of artificial intelligence. Deep learning, a subset of machine learning, is also included, which aids with object detection and image recognition. This chapter discusses the usage of artificial intelligence techniques in real-world scenarios. It also discusses usage of UAV in various fields. Better connectivity, a good prediction system, and increased UAV network performance are all made possible by combining AI, ML, and DL. Because they capture photographs via drones and large data is smoothly linked with multiple commercial applications, AI-based platforms offer a lot of potentials.