MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland

The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned Aerial Vehicle (UAV) targeting wide array of applications, encompassing search and rescue, surveillance, crowd monitoring, and environmental sensing. This paper focuses on the design and implementation of MAD-STORM, highlighting its environmental sensing for temperature, humidity, and rain detection. Leveraging internet connectivity, MAD-STORM facilitates real-time data streaming and analysis from a ground station, while also aligning with IoT principles to establish cloud connectivity. The inclusion of global positioning system modules aids in determining navigation coordinates, ensuring the precise execution of MAD-STORM activities. This paper offers a comprehensive overview of MAD-STORM's development stages, system design, hardware, software components, intelligent capabilities and challenges. The real-time demonstration video and detals for this work is available at https://www.ulster.ac.uk/research/topic/engineering/afmm/projects/madni.