Verifly: A drone-supported First Aid system for Ashesi University

Applied project submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Management Information Systems, April 2019Drones are autonomous vehicles that have been beneficial to humans since their creation. Drones are considered to carry out activities efficiently. In the last ten years, drones are becoming a common sight. Filming for TV and Movies, surveillance, delivery, and hobby flight are some tasks which make use of drones. The potential of drones is slowly, but surely being uncovered and yet we`ve just scratched the surface. Companies like Amazon use drones to make deliveries more efficient. Drones can make standard services efficient, like in healthcare, public security, etc. This project utilizes drones for deploying emergency healthcare and uses technologies like GPS location, mobile applications, web services, drones, and ground control stations. The system is designed to aid first responders to an incident or injured people. This project also introduces a drone policy to govern the use of drones at Ashesi University.Ashesi Universit

Development of First Aid Kit with Intuitive Touch Screen Display and Voice Instruction

First aid kit has been used to treat minor pain or injuries before one can receive a qualified treatment from the medical doctor. It is found that the contents inside the first aid is only checked periodically and as a result, there is a high chance that certain important medicine is not there by the time it is needed. Thus, the development of smart first aid kit that prioritizes on content management via intuitive display and voice instruction is presented in this paper. The developed smart first aid kit offers several unique features. First is the use of infrared sensor to detect the availability of the first aid content. If the content is taken, the red LED will be lit up, and the user is notified through Blynk apps in smartphone and email by means of NodeMCU. Second feature is the developed first aid is equipped with the Smart TFT LCD touch screen display and speaker. This smart touch screen can display the list of first aid contents as well as provide a quick button for voice instructions. The voice instruction button will play the recorded guidance and medical instructions in the form of phrases and voices. The programming for the touch screen display, the voice instructions (played by Arduino Mini MP3 module) and speaker are all processed by the Arduino Mega. Simple testing and analysis on sensor detection and notification revealed that both sensor and Blynk app are working fine if the medications are placed in the correct position. In conclusion, a smart first aid kit with touch screen medications instructions menu equipped with voice instructions and the ability to alert the end user whenever the content of first aid is taken out has been successfully developed and executed in this study. All sensors and the programming for the touch screen and voice instruction are working accordingly. For future work, several improvements are recommended such as a better data management can be done which is by developing a database that can save the complete record on date, time, and name of the content that is taken out as well as alerting the user on expiry date. This can help the person in charge to efficiently monitor the content in the first aid

A GRASP-Based Approach for Planning UAV-Assisted Search and Rescue Missions

Search and Rescue (SAR) missions aim to search and provide first aid to persons in distress or danger. Due to the urgency of these situations, it is important to possess a system able to take fast action and effectively and efficiently utilise the available resources to conduct the mission. In addition, the potential complexity of the search such as the ruggedness of terrain or large size of the search region should be considered. Such issues can be tackled by using Unmanned Aerial Vehicles (UAVs) equipped with optical sensors. This can ensure the efficiency in terms of speed, coverage and flexibility required to conduct this type of time-sensitive missions. This paper centres on designing a fast solution approach for planning UAV-assisted SAR missions. The challenge is to cover an area where targets (people in distress after a hurricane or earthquake, lost vessels in sea, missing persons in mountainous area, etc.) can be potentially found with a variable likelihood. The search area is modelled using a scoring map to support the choice of the search sub-areas, where the scores represent the likelihood of finding a target. The goal of this paper is to propose a heuristic approach to automate the search process using scarce heterogeneous resources in the most efficient manner