Project Overview

• Title: Drone Management System
• Objective: Develop a system for dynamic drone flight authorization and traffic management.
• Team:
  • Leader: 김대현
• Focus Areas:
  • Real-time drone flight permission requests.
  • Server communication via APIs.
  • Data visualization and traffic monitoring.

Key Features

1. Dynamic Authorization:
   • Real-time processing of drone flight permission requests.
   • Avoids traditional static authorization delays.
2. Server Architecture:
   • Main Server: Processes data and manages permissions.
   • Sub Servers: Generate flight data and communicate with the main server.
   • Environment: AWS Ubuntu, Raspberry Pi.
3. Data Processing and Visualization:
   • Logs all requests and approvals.
   • Visualizes drone traffic zones using Kakao Maps and polygons.
4. Web Interface:
   • Developed using Django and React.
   • Displays approved data and drone traffic zones.

Development Environment

• Tools: Jupyter Notebook, Visual Studio Code.
• Languages: Python, Django, Flask, MySQL.
• Hardware: AWS, Raspberry Pi 3/400, Microsoft Surface Book 3.
• Frameworks: Flask for RESTful APIs, Django for web server.