A drone-facilitated disaster response system with first aid delivery: Intelligent healthcare
dc.contributor.author | Oyan, Ofeoritselaju Jacinta | |
dc.date.accessioned | 2023-06-19T12:14:17Z | |
dc.date.available | 2023-06-19T12:14:17Z | |
dc.date.issued | 2022-05 | |
dc.description | Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2022 | |
dc.description.abstract | The use of drones has become prevalent, especially for big tech companies like Google, Amazon, DHL and so on. It is now becoming the future form of delivery services. In sub- Saharan countries that are developing, UAVs can be used to deliver certain products to parts of the country that vehicles cannot operate or for faster, uninterrupted delivery. Building a system that will be used for natural disaster response (especially fire disasters) and first aid delivery is the focus of this project. In an article discussing fire accident trends in Ghana [1], the researchers discovered that the rate of fire incidences increased each year. A major factor to this increase was negligence and amongst the several causes of fire accidents, 41% of them were due to domestic fires. About 379 deaths and 5489 fire incidents were recorded in the year 2013. This year, about 5 fire accidents have already been recorded in regions like Kumasi, Accra, Apiate and Tema [2]. This project integrates the use of a website application called "Drone Aid" to order drone delivery services and circuitry to build an efficient disaster response and delivery drone. It is also important that the fire response system implements long range communication technology that is also low power and energy efficient. The drone prototype in this project is built from a drone frame kit and further customized for first aid delivery and circuit carriage. While developing this system, other constraints such as cost of materials, drone capacity/payload and drone flight range are considered. | |
dc.description.sponsorship | Ashesi University | |
dc.identifier.uri | https://hdl.handle.net/20.500.11988/902 | |
dc.language.iso | en | |
dc.subject | fire outbreak | en |
dc.title | A drone-facilitated disaster response system with first aid delivery: Intelligent healthcare | |
dc.type | Capstone Project | en |