Face Mask Detection

Welcome to Face Mask Detection Project! It uses computer vision to detect whether a person is wearing a face mask or not. The system is built using Python and OpenCV.

Introduction

This project starts at the onset of the COVID-19 pandemic. It is an innovative solution that aims to reduce the cost and enhance the efficiency of COVID-19 testing. By using computer vision and deep learning model, the system can detect whether a person is wearing a face mask or not. This can be used in a variety of settings, such as schools, hospitals, and public spaces, to ensure that people are following the guidelines for wearing masks. Although the pandemic is slowing down, it is a valuable project to demostrate and may be used in future.

Framework

1. Train the model using CNN.
2. Use face detection model haarcascade_frontalface_default.xml to detect faces.
3. Input faces into the model.

Resources

• Kaggle Dataset
• OpenCV Docs
• Streamlit Docs