Automated Parking System

An advanced parking management solution that uses computer vision to identify free parking slots and provides an integrated user authentication and payment system.

Table of Contents

• Features
• Installation
• Usage
• Technologies Used
• Contributing
• License

Features

• Computer Vision: Utilizes OpenCV to identify free parking slots in real-time.
• Dockerized Application: The computer vision model is hosted on DockerHub for easy deployment.
• Node.js Backend: Provides an API for parking lot management.
• MongoDB Database: Stores user and parking lot information.
• Redis Caching Layer: Improves performance and scalability.
• Google OAuth 2.0: User authentication and authorization.
• Stripe Payment Gateway: Handles payments and generates QR code tickets.
• Frontend: Built with HTML, CSS, and JavaScript located in the public folder.

Installation

Prerequisites

• Docker
• Node.js
• npm
• MongoDB
• Redis

Clone the Repository

git clone https://github.com/akshatjainei/APS.git

Computer Vision Model Setup and Redis

docker compose up

Backend Setup

• Install Node.js dependencies:

npm install

-Set up environment variables: Create a .env file in the directory and add the following:

PORT=your_port_number
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret
STRIPE_SECRET_KEY=your_stripe_secret_key
MONGO_URI=your_mongodb_url

• Run the backend:

nodemon app.js

Usage

User Authentication

• Navigate to http://localhost:PORT/auth to authenticate using Google OAuth 2.0.

Parking Lot Management

• Access the parking lot API at http://localhost:PORT/parkingLot for managing parking slots.

Payments and QR Code Generation

• The Stripe payment gateway is integrated, and upon successful payment, a QR code ticket is generated for the user.

Frontend

• The frontend can be accessed by opening the index.html file located in the public folder.

Technologies Used

• OpenCV: For computer vision and free slot detection.
• Docker: To containerize the computer vision model.
• Node.js: Backend server.
• MongoDB: Database for storing user and parking lot data.
• Redis: Caching layer to enhance performance.
• Google OAuth 2.0: For user authentication.
• Stripe: For payment processing.
• QR Code Generator: To generate QR code tickets.
• HTML, CSS, JavaScript: Frontend technologies used in the public folder.

Contributing

• Fork the repository.
• Create a new branch (git checkout -b feature-branch).
• Commit your changes (git commit -m 'Add some feature').
• Push to the branch (git push origin feature-branch).
• Open a pull request.

License

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