Study and Technical Implementation of Drone Operations in a Drone-as-a-Service Model

Introduction Unmanned Aerial Vehicles (UAV) refers to technological devices invented for purposes of reconnaissance and surveillance work by the armed forces but are increasingly becoming popular through commercial and industry use. Improvement made in technologies such as microelectronic, communication, and sensors has enabled drones to be capable of performing complicated tasks with efficiency and accuracy. For instance, drones have become highly integrated with different types of sensors that include RGB camera, montage sensors, and thermal cameras that utilize temperature. Drones have become highly significant in activities that involve collecting infrastructural data spatially, for instance, in agriculture, infrastructure surveillance, environmental monitoring, and disaster management. However, despite the many benefits, there are critical aspects limiting the utilization of drone technologies. There is a huge cost involved that involves not only the UAVs, sensors, and associated software systems but also most of these being of professional levels. Also, the usage of drones requires trained operators since there is a need for flight planning, navigation, and data analysis. To be honest, another aspect that may limit their use relates to restrictions posed by the aviation authority in the form of licenses. These problems have been addressed through the consideration of DaaS as an innovative approach to operational strategy. Here, the clients receive ready-to-use data and analytics without having to own and control drones' infrastructure and systems. This approach helps overcome economic and technological constraints while encouraging the usage of drones in diverse industrial sectors. This research is grounded on the technical implementation analysis and the DaaS operation flow analysis in terms of agricultural and infrastructure surveillance applications. Its purpose is to analyze the contribution of drone-based services in creating productive and economical operational flows and in making decisions based on information.