AI-Based Camera Website

This repository contains the source code for an AI-based camera website, developed as part of the CircuitTech Project at NIIT University. The project leverages advanced AI technologies to deliver real-time object detection and enhanced security features.

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• Project Structure
• Future Enhancements
• Contributing
• License

Features

1. AI-Powered Analysis

   • Real-time object detection and recognition using AI models.
   • Integrated with the Cloud Vision API for advanced analytics.

2. Enhanced Security

   • AI-driven motion detection and alert systems.
   • Customizable security settings for monitoring sensitive areas.

3. Analysis Dashboard

   • Live camera feed with overlays for detected objects and events.
   • Data visualization tools to analyze patterns and generate insights.

Technologies Used

• Frontend: HTML, CSS, JavaScript (with modern frameworks for interactivity).
• Backend: Using Vercel
• AI Integration: Google Cloud Vision API.
• Authentication: Firebase
• Deployment: Vercel

Installation

1. Clone the repository:

   git clone https://github.com/your-username/circuitech-ai-based-camera.git

2. Navigate to the project directory:

   cd ai-camera-website

3. Install dependencies:

   npm install

4. Set up environment variables:

   Create a .env file in the root directory with the following details:

   CLOUD_VISION_API_KEY=your-google-cloud-api-key
   MONGO_URI=your-mongodb-connection-string
   

5. Start the development server:

   npm start

6. Open your browser and visit http://localhost:3000.

Usage

1. Live Camera Demo:

   • Access the live feed through the dashboard.
   • Watch real-time AI-powered object detection in action.

2. Analysis Dashboard:

   • Visualize security and analytics data.
   • Monitor activity logs and detected events.

3. Custom Alerts:

   • Configure and test motion detection alerts.

Project Structure

ai-camera-website/
├── public/
│   ├── css/
│   ├── js/
│   ├── images/
├── src/
│   ├── controllers/
│   ├── models/
│   ├── routes/
│   └── views/
├── .env
├── package.json
├── server.js
└── README.md

Future Enhancements

• Add support for multiple camera feeds.
• Integrate additional AI models for specialized use cases (e.g., facial recognition).
• Implement a mobile app for remote monitoring.
• Enhance scalability for large-scale deployments.

Contributing

Contributions are welcome! Follow these steps to contribute:

1. Fork the repository.

2. Create a new branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Description of changes"

4. Push to the branch:

   git push origin feature-name

5. Submit a pull request.

License

This project is licensed under the MIT License.

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We hope this project inspires innovation in AI-powered security solutions. Feel free to reach out for collaborations or queries!