FLUTTER ECOSYSTEM

ChathuraNilanka/Autonomous-Drone-for-Healthcare-System

基於自主無人機配送平台的醫療系統畢業研究

E-Medic - 自主無人機醫療系統 專案封面
Stars
4
Forks
1
最近推送(UTC)
2021年10月6日
專案狀態
未封存
Chathura Nilanka GitHub avatar
GITHUB User

Chathura Nilanka ↗

Graduated from Sri lanka Institute of Information Technology (SLIIT).

Thalawathugoda, Sri Lanka
語言DartJupyter NotebookTypeScriptHTMLPythonJavaScriptSCSSJavaSwiftObjective-C

相關套件與範例

App 分類

原始 README

以下為英文專案原文快照,最新內容請造訪 GitHub。

展開 / 收合專案 README

2020-037

Introduction

This project is created to maintain the Research Project work done by the members of group 2020-037 under the title E-Medic - Autonomous Drone for Healthcare System which is an online platform to deliver medicine via an autonomous drone.

Main objective

E-Medic is a platform that connects doctors, pharmacy, patient and a delivery method (Autonomous Drone). For doctor management, E-medic uses a web portal to track a patient's medical history and upload patients’ prescriptions so that users can order their medicine with the mobile app. For drug management and order management E-medic contains a web portal for pharmacies. This portal contains functionalities to:

  • Manage medicine and orders.
  • Track the real-time location of the delivery.
  • Autonomous drone for medicine delivery.

Main Research Questions

  • What is the most efficient and effective way to deliver medicine to patients in order to reduce the waiting time in medicine purchasing?
  • What is the most convenient method for patients to handle medical prescriptions and medical records?

Individual Research Questions

  • How to manage and handle the Information and logistics of the system?
  • How to develop the autonomous navigation system for the drone?
  • How does the drone manage to avoid obstacles in flight?
  • How to establish the connection between the patient and the drone?

Individual Objectives

  • Platform to manage the system information and its stakeholders.
  • Fully autonomous drone navigation.
  • Detect obstacles and alter the flight path for a successful flight.
  • Connect the drone and the patient with real-time communication.