/Real-Time-Face-Mask-Detection-Model

Real-Time Face Mask Detection Model

Primary LanguageJupyter NotebookMIT LicenseMIT

Real Time Face-Mask Detection Model

Tech / Framework Used

  1. OpenCV
  2. Keras
  3. Caffe based Face Detection Model

Features

The Model is trained with above 3000 images of people with and without mask Hence providing a very high accuracy in its predictions

This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Sars-Cov-2. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.

Model Architecture

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Model Accuracy & Loss

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Mask-Detection in an Image

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Mask-Detection in a Real-Time Video-Stream

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Model & Dataset

Dataset : https://drive.google.com/file/d/1L9Adlq4NKLKWvdbrlaDxxuoVBj9KATN8/view?usp=sharing

Model : https://drive.google.com/file/d/1ClH05eYVa2T3X2AAnJvn8wMFTnj8biVS/view?usp=sharing