  In this paper, we explore the application of Unmanned Aerial Vehicles (UAVs)
in maritime search and rescue (mSAR) missions, focusing on medium-sized
fixed-wing drones and quadcopters. We address the challenges and limitations
inherent in operating some of the different classes of UAVs, particularly in
search operations. Our research includes the development of a comprehensive
software framework designed to enhance the efficiency and efficacy of SAR
operations. This framework combines preliminary detection onboard UAVs with
advanced object detection at ground stations, aiming to reduce visual strain
and improve decision-making for operators. It will be made publicly available
upon publication. We conduct experiments to evaluate various Region of Interest
(RoI) proposal methods, especially by imposing simulated limited bandwidth on
them, an important consideration when flying remote or offshore operations.
This forces the algorithm to prioritize some predictions over others.
