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Supervisor, is a computer vision based AI number plate recognition project. Here user will choose an image and upload. As upload is clicked, deep learning model will process the input and returns output when it detects the number plate and then expected text. It follows Component Wise Frontend, RestFul API principle and SQL for database.

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jatin00000/Supervisor-OCR

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🕵️Supervisor OCR 🚗

Supervisor, is a computer vision based AI number plate recognition project.
Here user will choose an image and upload. As upload is clicked, deep learning model will process the input and returns output when it detects the number plate and then expected text.

Structure

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Working

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System Requirment

  • MySQL
    MySQL is required for database management. Download from here and follow this installation procedure for
    Mac link
    Windows link
    Then in go to app.py file and open it in any text editor like sublime or VS Code. Type your MySQL user name and password at place shown below
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  • Tesseract OCR for reading text from image.Download it from here.
    Follow the following installation part from link.
  • Python language to run the software. Download python from here
    And installation for Mac link and windows link
  • Python Modules for running our application.
    Follow this steps:
    • Create a folder name as ‘Supervisor’.
    • Download all the code in this folder.
    • Open your mac or windows terminal in this folder.
    • Type following command and press enter:
      • pip install -r .\requirement.txt
      • Pip will automatically install all the necessary modules from requirement.txt.
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Running the Application

Install all the Dependencies stated above in document.

  • Open the folder Supervisor in your mac or windows terminal

  • Write following command and press enter
    python app.py

  • Server will start running
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  • In your Web Browser, go to http://127.0.0.1:5000/
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  • Now Enjoy the Application. 🍵


For More details, refer Our Design Document
😄Have a Good Day😄

About

Supervisor, is a computer vision based AI number plate recognition project. Here user will choose an image and upload. As upload is clicked, deep learning model will process the input and returns output when it detects the number plate and then expected text. It follows Component Wise Frontend, RestFul API principle and SQL for database.

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