DroneVideoManager

A professional video management application designed specifically for drone videographers. DroneVideoManager helps you organize, analyze, and manage your drone footage efficiently.

Features

• Video Management

  • Import and organize drone videos
  • Extract and display video metadata
  • Support for various video formats (MP4, MOV, AVI)
  • Automatic video file organization
  • Thumbnail generation
  • Video preview

• Metadata Analysis

  • Extract camera settings and flight data
  • Display telemetry information
  • View drone model and settings
  • Analyze flight paths and statistics
  • Export metadata to CSV/JSON
  • Timeline visualization

• Project Organization

  • Create and manage projects
  • Organize videos into folders
  • Add tags and categories
  • Search and filter videos
  • Custom metadata fields
  • Project templates

• File System Integration

  • Monitor folders for new videos
  • Automatic metadata extraction
  • File system event handling
  • Backup and restore capabilities
  • File integrity checks
  • Duplicate detection

Prerequisites

• Development Environment

  • .NET 8.0 SDK
  • Visual Studio 2022 or Visual Studio Code
  • Git

• Runtime Requirements

  • Windows 10/11
  • SQL Server 2019 or later
  • FFMpeg (for video processing)
  • TagLibSharp (for metadata extraction)
  • 8GB RAM minimum
  • 500MB free disk space

Installation

1. Clone the repository:

git clone https://github.com/yourusername/DroneVideoManager.git

2. Navigate to the project directory:

cd DroneVideoManager

3. Restore NuGet packages:

dotnet restore

4. Update the connection string in appsettings.json:

{
  "ConnectionStrings": {
    "DefaultConnection": "Server=(localdb)\\mssqllocaldb;Database=DroneVideoManager;Trusted_Connection=True;MultipleActiveResultSets=true"
  },
  "Logging": {
    "LogLevel": {
      "Default": "Information",
      "Microsoft": "Warning",
      "Microsoft.Hosting.Lifetime": "Information"
    }
  }
}

5. Run database migrations:

dotnet ef database update

6. Build and run the application:

dotnet build
dotnet run

Project Structure

DroneVideoManager/
├── DroneVideoManager.Core/         # Core models and interfaces
│   ├── Models/                     # Domain models
│   └── Services/                   # Service interfaces
├── DroneVideoManager.Services/     # Service implementations
│   ├── Video/                      # Video processing services
│   ├── Metadata/                   # Metadata extraction services
│   └── FileSystem/                 # File system services
├── DroneVideoManager.Data/         # Data access layer
│   ├── Configurations/             # Entity configurations
│   └── Migrations/                 # Database migrations
└── DroneVideoManager.UI/           # WPF user interface
    ├── ViewModels/                 # View models
    ├── Views/                      # XAML views
    └── Converters/                 # Value converters

Dependencies

• Core Dependencies

  • FFMpegCore (5.2.0) - Video processing
  • Microsoft.EntityFrameworkCore (8.0.2) - Database access
  • System.IO.Abstractions (22.0.13) - File system operations
  • TagLibSharp (2.3.0) - Metadata extraction

• Development Dependencies

  • xUnit - Unit testing
  • Moq - Mocking framework
  • FluentAssertions - Assertion library

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Guidelines

• Follow C# coding conventions
• Write unit tests for new features
• Update documentation
• Use meaningful commit messages

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to all contributors who have helped with this project
• Special thanks to the open-source community for their tools and libraries
• FFMpeg team for video processing capabilities
• TagLibSharp team for metadata extraction

Support

For support, please:

1. Check the documentation
2. Search existing issues
3. Create a new issue if needed

Roadmap

Short Term

• Add support for DJI Mavic 3
• Implement basic video editing
• Add cloud storage integration (OneDrive, Google Drive)

Medium Term

• Create mobile companion app
• Add AI-powered video analysis
• Implement collaborative features

Long Term

• Web-based version
• Advanced video editing suite
• Drone fleet management