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Computer Vision solution to match license and face of a person before starting the vehicle to prevent minor drivers from driving. This is a CV prototype and IoT integration is future scope of the project.

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Table of Contents

Introduction

  • In the era of rapid technological advancement, computer vision has emerged as a pivotal technology with diverse applications. One such groundbreaking application is the Face and License Scanner Computer Vision Project, a cutting-edge initiative designed to revolutionize security systems by leveraging advanced image processing and artificial intelligence techniques.

  • The primary focus of the Face and License Scanner Computer Vision Project is to enhance identification and verification processes in public spaces, particularly in areas requiring heightened security measures such as airports, government facilities, and private organizations. By combining facial recognition and license plate recognition technologies, this project aims to provide a comprehensive and sophisticated security solution.

Requirements

cv2 opencv
dlib dlib
winsound python3.11.x
numpy python3.11.x

How to use

  1. Clone this repo.
  • git clone https://github.com/AAC-Open-Source-Pool/face-and-license-scanner
    
  1. Install the required libraries from Requirements
  2. Execute the python script
  3. Add star to this repo if you liked it 😄

Contribution

This section provides instructions and details on how to submit a contribution via a pull request. It is important to follow these guidelines to make sure your pull request is accepted.

  1. Before choosing to propose changes to this project, it is advisable to go through the readme.md file of the project to get the philosphy and the motive that went behind this project. The pull request should align with the philosphy and the motive of the original poster of this project.
  2. To add your changes, make sure that the programming language in which you are proposing the changes should be same as the programming language that has been used in the project. The versions of the programming language and the libraries(if any) used should also match with the original code.
  3. Write a documentation on the changes that you are proposing. The documentation should include the problems you have noticed in the code(if any), the changes you would like to propose, the reason for these changes, and sample test cases. Remember that the topics in the documentation is strictly not limited to the topics aforementioned, but are just an inclusion.
  4. Submit a pull request via Git etiquettes

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Computer Vision solution to match license and face of a person before starting the vehicle to prevent minor drivers from driving. This is a CV prototype and IoT integration is future scope of the project.

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