Automation of Number Plate Detection

Images of frontend

python work

This is a Python script that detects Garbage in CCTV video and saves the corresponding images to a specified folder. Additionally, it sends the saved images to a server using HTTP requests.

Prerequisites This script requires the following Python libraries to be installed:

1. number.py OpenCV Numpy Requests os

2. api.py sqlite3 flask config pandas

Getting Started

To get started, follow these steps:

1. Clone the repository to your local machine.

make extra folder in this file

1.core inside make "media" folder in this file

2. Install the required libraries using pip: pip install all #import file

    pip install opencv
   
    pip install numpy
   
    pip install Requests
   
    pip instal sqlight3
   
    pip install flask
   
    pip install flask_cors
   
    pip install pandas
   
    pip install config
   

3. save photo in Internal on machine and using flask frame work store photo in sqlite3 database table

4. Run api then make user in api

   user name = admin user

   email = admin@gmail.com

   user passwors = admin

   Start API then write on your search engine this command

     http://127.0.0.1:5000/admin/admin@gmail.com/admin
   

5. Update the save_folder variable in the script to specify the folder where you want to save the detected number plate images.

6. Update the send_img function in the script to specify the URL of the server where you want to send the images.

7. set your path of where your program work store image in only core/media folder video file name is IMG_1891.mp4

8. Run the script using the commands:

   python api.py
   
   python number.py
   

License : This script is distributed under the GNU General Public License

Acknowledgements: This project uses the haarcascade_russian_plate_number.xml file from the OpenCV,GitHub repository.

React js Work

This is a React JS program that demonstrates the use of various React components and libraries. The program displays a simple user interface that allows users to perform various actions, such as adding and deleting items from a list, filtering and searching items, and displaying charts.

1. Requirements : This app is run online react-bootstrapt so internet and some offline images

2. Installation of React js :

3. create wab app using Terminal :

   1. npx create-react-app number
   
   2. cd number
   
   3. npm start
   

4. Installation commands:

   npm axios
   
   npm Modal
   
   npm Button 
   
   npm react-toastify
   
   npm menu
   

5. And install other Requirements

6. Features :

This program demonstrates the following features of React JS:

1. Components: The program is built using various React components, such as buttons, forms, and charts.
2. State management: The program uses state to manage the data displayed on the user interface.
3. Props: The program passes data between components using props.
4. Hooks: The program uses various React hooks, such as useState and useEffect.
5. React Router: The program uses React Router to handle navigation between different pages.

License: This program is licensed under the MIT License. See the LICENSE file for more information.