A Survey on the Use of Unmanned Aerial Vehicles (UAVs) in Monitoring Applications

Abstract

Unmanned aerial vehicles (UAVs), also known as drones, are widely used in real-time applications such as remote sensing, disaster management and recovery, logistics applications, military operations, search and rescue systems, law enforcement operations, and crowd monitoring and controlling due to their low cost, quick processing, and high-resolution photos. Furthermore, drones reduce the risk of threats such as terrorism, disease transmission, temperature disruptions, crop pests, and criminal activities. As a result, the primary purpose of this paper is to present an extensive examination of UAV-based surveillance systems to provide insight into the opportunities, challenges, techniques, and future trends of drones. The paper discusses typical picture preprocessing approaches for drones, as well as prominent one and two-stage deep Learning algorithms used by researchers to detect objects captured by drone cameras. This paper also includes a useful list for researchers of online datasets that include photographs acquired using drone cameras. In addition, the paper includes a comparative examination of recent UAV-based imaging applications, demonstrating the purpose, description, findings, and limitations of each application. Finally, this paper discusses potential research trends and difficulties associated with the utilization of drones.