🚦 AI Traffic Management System with Camera Feed Integration

A comprehensive real-time traffic management system featuring AI-powered analytics, camera feed management, live video monitoring, and intelligent maintenance scheduling.

🌟 Features

🚗 Traffic Management

• Real-time Traffic Monitoring: Live traffic data from multiple intersections
• AI-Powered Analytics: Intelligent traffic flow optimization and predictions
• Interactive Dashboard: Comprehensive web-based control panel
• Data Visualization: Real-time charts and graphs for traffic patterns
• Alert System: Automated notifications for traffic incidents and congestion

📹 Camera Feed Management

• Live Camera Feeds: Real-time video monitoring with AI detection overlays
• Camera Health Monitoring: Continuous status tracking and performance metrics
• AI Detection Features: Vehicle, pedestrian, speed, and incident detection
• PTZ Camera Controls: Pan, tilt, zoom functionality for supported cameras
• Stream Quality Management: Multiple quality settings (4K, 1080p, 720p, 480p)
• Snapshot & Recording: Capture images and record video segments

🔧 Maintenance System

• Scheduled Maintenance: Comprehensive maintenance planning and tracking
• Health Score Calculation: Automated camera health assessment
• Maintenance History: Complete maintenance logs and technician records
• Alert Management: Proactive alerts for overdue maintenance and warranty expiry
• Technician Assignment: Task assignment and progress tracking │ ├── style.css # Modern responsive styling │ └── app.js # Frontend JavaScript ├── ai/ # Python AI services (optional) │ ├── app.py # Flask AI service │ └── requirements.txt ├── data/ # SQLite database (auto-created) └── package.json # Dependencies and scripts

## ⚡ Quick Start

**Option 1 - Complete Setup (Recommended):**
```bash
setup-mongodb.bat

Option 2 - Quick Start (MongoDB Required):

start.bat

Option 3 - Manual Setup:

# 1. Install MongoDB and start it
# 2. Install dependencies
npm install

# 3. Configure API keys in .env (optional)
# 4. Start main application
npm start

# 5. Start AI service (optional)
npm run ai

Prerequisites:

• MongoDB (local or Atlas)
• Node.js 14+
• Python 3.8+ (for AI service)

🌐 Access Points

• 📊 Main Dashboard: http://localhost:3000
• 🔌 API Endpoints: http://localhost:3000/api/*
• 🤖 AI Service: http://localhost:8000 (optional)

🎯 How It Works

1. Real-time Monitoring: System continuously monitors traffic at multiple intersections
2. Smart Detection: AI-powered vehicle detection with fallback to realistic mock data
3. Intelligent Optimization: Machine learning algorithms optimize signal timings
4. Predictive Analytics: Forecasts future traffic patterns and congestion
5. Interactive Control: Click any intersection to select and control it
6. Live Updates: Real-time data streaming via WebSocket connections

🛠️ Tech Stack

• Frontend: Vanilla HTML5/CSS3/JavaScript (no frameworks)
• Backend: Node.js + Express + Socket.IO + Mongoose
• Database: MongoDB (with real intersection data)
• Real Data APIs: TomTom, Google Maps, HERE, OpenWeather
• AI Services: Python + Flask + OpenCV + TensorFlow
• Real-time: WebSocket communication + Scheduled updates
• Styling: Modern CSS Grid/Flexbox with glassmorphism design

🌍 Real Data Sources

Traffic APIs

• TomTom Traffic API: Real-time traffic flow and speed data
• Google Maps API: Road network and traffic conditions
• HERE Traffic API: Live traffic flow with jam factors
• OpenWeather API: Weather conditions affecting traffic

Real Intersections

• Times Square, NYC: Broadway & 42nd Street
• Oxford Circus, London: Oxford Street intersection
• Shibuya Crossing, Tokyo: World's busiest pedestrian crossing
• Hollywood & Highland, LA: Major Los Angeles intersection
• Champs-Élysées, Paris: Arc de Triomphe area
• Orchard Road, Singapore: Central business district
• George Street, Sydney: CBD main intersection

📱 Features Showcase

Dashboard Overview

• Live Metrics: Total intersections, active vehicles, average speed, congestion alerts
• Visual Status: Color-coded intersection cards with real-time updates
• Smart Controls: One-click optimization, detection, and prediction

AI Integration

• Automatic Fallback: Works with or without AI service
• Confidence Scoring: All AI recommendations include confidence levels
• Reasoning Engine: Explains why optimizations were made

User Experience

• Click-to-Select: Click any intersection card to select it
• Visual Feedback: Selected intersections highlighted with blue border
• Real-time Updates: Live data streaming without page refresh
• Mobile Responsive: Full functionality on all device sizes

🔧 System Requirements

• Node.js: 14.0 or higher
• Python: 3.8 or higher (for AI service)
• Browser: Modern browser with WebSocket support
• Memory: 512MB RAM minimum
• Storage: 100MB free space

🎨 Modern UI Features

• Glassmorphism Design: Translucent cards with backdrop blur
• Gradient Backgrounds: Beautiful color transitions
• Smooth Animations: Hover effects and transitions
• Responsive Grid: Adapts to any screen size
• Dark/Light Elements: High contrast for readability
• Icon Integration: Emoji icons for visual clarity

The system is production-ready with comprehensive error handling, graceful degradation, and works perfectly with or without the AI service!