Vehicle number plate detection Deep Learning Project Source code

Number Plate recognition, also called License Plate realization or recognition using image processing methods is a potential research area in smart cities and the Internet of Things. An exponential increase in the number of vehicles necessitates the use of automated systems to maintain vehicle information for various purposes.

Project Descriptions :-

  1.  This is **"SSD"** algorithm based **Tensorflow Object Detection** model.
  2. It can detect the number plates of vehicle.
  3. For text extraction **"EasyOcr"** model is used
  4.  Based on the number plates it will give corresponding state (from India) of that vehicle.
  5. This is flask based webapp which you can deploy it on pivotal cloud.
  6. For accurate results Image size should be minimum of **800 x 600**.
  7. Supported image file formats are **".PNG"**,**".JPG"**,**".JPEG"**.

Technology Used in the project :-

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. Flask: Project has been developed over the Flask Framework

Supported Operating System :-

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.6.10, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Installation Step : -

  1. python 3.6.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python


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