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Identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .

Jupyter Notebook 100.00%
caffemodel colab-notebook colaboratory dnn face-recognition facedetection-realtime machine-learning opencv python siamese-neural-network tensorflow

masked-face-recognition's Introduction

Masked Face Recognition

Alt Text

We should be able to identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .

Deployment

To deploy this project there are 2 options :

  • Run on COLAB : Open Colab folder in the repo
  • Run Locally : Coming Soon

Prerequisites

Install these libraries

Features

  • Recognition at varying angles varying angle
  • Recognition of people wearing surgical masks due to covid-19 mask face
  • Identifying using limited suspect images
  • No training requied to be done on dataset (dynamic recognition)

Contributing

Contributions are always welcome!

Contributors

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masked-face-recognition's People

Contributors

4k5h1t avatar akhbarsha avatar alby0n avatar shrishn avatar sudi050 avatar

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masked-face-recognition's Issues

What is your algorithm?

Hi Mr, I really want to know your algorithm to make this system because I want to make similar things for university article.
Can you tell me how should I start, which book is help full? And your algorithm and possible algorithms and things like that?

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