Fast-Automated-Entrance-System README

Introduction

Fast-Automated-Entrance-System is designed to automate parking lot entrances using advanced technologies for speed and security.

Project Structure

Fast-Automated-Entrance-System
│   README.md
│
├───client_side (Python scripts, OCR, OpenCV)
├───mongodb (Database schema and files)
└───server_side (Node.js server, web assets)

Setup and Installation

Installation Commands

Python Installation

• For Windows:

  Download and install from https://www.python.org/downloads/windows/
  

• For Linux:

  sudo apt-get update
  sudo apt-get install python3
  

Node.js Installation

• For Windows:

  Download and install from https://nodejs.org/en/download/
  

• For Linux:

  sudo apt-get update
  sudo apt-get install nodejs
  sudo apt-get install npm
  

MongoDB Installation

• For Windows:

  Download and install from https://www.mongodb.com/try/download/community
  

• For Linux:

  Follow the official guide at https://docs.mongodb.com/manual/administration/install-on-linux/
  

Raspberry Pi Client-Side Scripts Setup

• Install Python (usually pre-installed on Raspberry Pi OS).
• Install OpenCV for Python:

  pip install opencv-python
  

• Install OCR libraries for Python (example for Tesseract OCR):

  sudo apt-get install tesseract-ocr
  pip install pytesseract
  

These commands will set up the necessary environment for running the Fast-Automated-Entrance-System on various platforms.

Server-Side

Prerequisites

• Python, Node.js, MongoDB
• Raspberry Pi for client-side scripts
• OpenCV and OCR libraries for Python

Database Setup

1. MongoDB Import:
   • Navigate to mongodb/smartparking.
   • Use mongorestore to import the database schema:

     mongorestore /path/to/smartparking
     

Server-Side Setup

1. Node.js Server:
   • Navigate to server_side.
   • Install dependencies: npm install.
   • Start the server: node server.js.

Accessing the Web Interface

• Open http://localhost:3000 or server URL in a browser.

Prerequisites for Raspberry Pi

• Python installed.
• OpenCV installed for Python. You can install it using pip:

  pip install opencv-python
  

• OCR libraries installed for Python.

Running the Client-Side Application

• Transfer the client_side directory to your Raspberry Pi.
• Navigate to the client_side directory on the Raspberry Pi.
• Run the latest Mainx.py script (where x is the version number). For example:

  python Main8.py
  

This script will initiate the processing and authentication mechanism essential for the Fast-Automated-Entrance-System to function. Ensure that all dependencies are correctly installed for the script to run successfully.