Vllance - Web-Based Vehicle Surveillance System

Vllance is an intelligent web-based vehicle surveillance and security system that enables users to monitor, lock, and protect their vehicles remotely from anywhere, at any time.

Features

Core Functionality

• Real-Time Vehicle Detection - Advanced AI-powered monitoring with instant vehicle detection capabilities
• Remote Lock/Unlock - Control your vehicle's security from anywhere with one-tap access
• Movement Detection - Real-time alerts for unauthorized vehicle movement
• Live Video Feed - Stream and monitor camera feeds via RTSP or video files
• Interactive Vehicle Selection - Click-to-select vehicles from video frames for targeted monitoring

Security & Management

• Movement Threshold Monitoring - Configurable pixel-based movement detection
• Instant Alerts - Get notified immediately when suspicious activity is detected
• User Authentication - Secure login and registration system
• Admin Dashboard - Comprehensive zone and user management

Monitoring Dashboard

• Video Display Panel - Real-time video feed with detection overlays
• Control Panel - Start/stop monitoring with live statistics
• Detection Stats - Track detected vehicles and movement distance

Tech Stack

Backend

• Framework: ASP.NET Core 9.0 (MVC)
• Language: C# 13.0
• Database: SQL Server with Entity Framework Core 9.0
• ORM: Entity Framework Core

Frontend

• UI: Razor Pages with custom CSS
• Fonts: Google Fonts (Inter, Poppins)
• Icons: Custom SVG illustrations
• Animations: CSS transitions and keyframes

AI & Detection

• Integration: FastAPI backend (Python)
• Detection: YOLO-based vehicle detection
• Video Processing: Support RTSP stream and prerecorded video file

📋 Prerequisites

• .NET 9.0 SDK
• SQL Server
• Visual Studio 2022 or VS Code
• FastAPI Backend Server (for vehicle detection features)

🚀 Getting Started

Installation

1. Clone the repository

git clone https://github.com/Tamim-Rahman101/Vllance.git

2. Restore dependencies

cd Vllance
dotnet restore

3. Update database connection string - Edit appsettings.json with your SQL Server connection details

"ConnectionStrings": {
    "DefaultConnection": "Server=YOUR_SERVER;Database=VllanceDB;TrustServerCertificate=true"
}

4. Apply database migrations

dotnet ef database update

5. Configure FastAPI backend

• Update the apiBaseUrl in Demo.cshtml (default: http://localhost:8000)
• Ensure your FastAPI server is running with the following endpoints:
  • /api/detect_first_frame
  • /api/select_vehicle
  • /api/monitor_control
  • /api/monitor_vehicle
  • /api/current_frame

6. Run the application

dotnet run

7. Access the application

http://localhost:5000

Usage

User Flow

1. Register/Login - Register an account or log in
2. Access Demo - Try the vehicle detection demo from the homepage
3. Load Video Feed - Enter RTSP URL or video file path
4. Detect Vehicles - System automatically detects vehicles in the frame
5. Select Vehicle - Click on a detected vehicle to monitor it
6. Start Monitoring - Begin real-time movement tracking
7. Receive Alerts - Get notified of any unauthorized movement

Author

Tamim Rahman

• GitHub: @Tamim-Rahman101

Acknowledgments

• YOLO for vehicle detection capabilities
• Entity Framework Core team
• ASP.NET Core community
• Github copilot for AI assistance