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| Title | Design And Development Of Unmanned Aerial Vehicle For Multi-Purposes Delivery In Smart Cities |
|---|---|
| ID_Doc | 18489 |
| Authors | Aznil Mohd Taib M.A.; Saud Al-Humairi S.N.; Mohd Hanafiah M.H.; Jaharadak A.A. |
| Year | 2024 |
| Published | 2024 IEEE 15th Control and System Graduate Research Colloquium, ICSGRC 2024 - Conference Proceeding |
| DOI | http://dx.doi.org/10.1109/ICSGRC62081.2024.10691217 |
| Abstract | Integrating state-of-the-art technologies, such as drones, artificial intelligence, robots, and the Internet of Things (IoT), focuses on enhancing delivery services in response to the growing demand. The comprehensive overview encompasses existing and potential drone applications in healthcare, explicitly emphasizing disease surveillance, disaster response, and medical supply delivery. Despite drones gaining national prominence, their gradual adoption in the delivery sector underscores the need for increased research. This paper presents a semi-autonomous drone designed to revolutionize multi-service delivery applications, contributing significantly to the advancement of smart cities. The specially crafted drone, featuring GPS and location tracking capabilities, effectively transports multiple packages with seamless navigation, overcoming traffic constraints. The project is also explores the application of drones, or Unmanned Aerial Vehicles (UAVs), in delivery scenarios to address challenges like limited road access in urban areas and contagion zones. The methodology advocates for the potential of drones in delivering medications, parcels, emergency medical equipment, laboratory samples, and pharmaceuticals. The study demonstrates that the drone can safely and efficiently transport payloads up to 4.5 kg, with a maximum flight time of 65 minutes on a full charge. Additionally, it can maintain a stable GPS signal at speeds up to 12 m/s, ensuring reliable and uninterrupted delivery operations. The overarching goal is to leverage advanced technologies to contribute to the development of smarter cities, addressing critical challenges in delivery services and healthcare. The primary aim remains the design of an efficient drone capable of delivering items precisely in terms of time and location. © 2024 IEEE. |
| Author Keywords | Delivery Application; Drone Delivery; Internet of Things; Semi-autonomous drone; UAVs |
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