AI Applications of Drones

Abstract

Unmanned aerial vehicles (known as drones) and artificial intelligence are attracting academic and industrial attention. Unmanned aerial vehicles (UAVs) have increased the ability to manage and supervise from remote locations. Unmanned aerial vehicles are employed in a variety of purposes and are becoming extremely popular. Recent advancements in unmanned drones and artificial intelligence have created a new opportunity for independent flying and maintenance. Artificial intelligence and deep learning are already driving the advancement of unmanned aerial vehicles and ensuring their independent future. Computer vision has made significant advances in image feature extraction and classification, as well as object recognition, making this a very appealing research subject when used on unmanned aerial vehicles. Because UAVs learn via techniques and apply them for decision making purposes, artificial intelligence is also vital and beneficial, but it can also be hazardous and severe. Artificial intelligence has decreased the number of obstacles faced by unmanned aerial vehicles while also boosting their capabilities and allowing them to enter new markets. The combination of Unmanned Drones and Artificial intelligence has resulted in quick and accurate results. The integration of UAVs and artificial intelligence has aided in real-time surveillance, data collection and analysis, and forecasting in computer/wireless network infrastructure, smart cities, the armed services, agricultural production, and mining. This study obtained and consolidated studies on the usage of UAVs, along with artificial intelligence and related algorithms, in various domains and countries. The goal was to illustrate overall scope and significance of artificial intelligence models in improving UAV performance, problem solving, and a variety of application domains.