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Detecting the humans faces whether they have worn face mask or not automatically by the system for the breakout of worldwide pandemic COVID-19. We have used deep learning to develop the face detector model with libraries Keras, TensorFlow, OpenCV.
Face Mask Detection using Computer Vision: A project for real-time identification of mask-wearing individuals in images and video streams to enhance public health compliance with mask mandates.
This repository contains the files used to create a soft-sensor that seeks to identify whether or not a person is wearing a mask from an image captured by the Arduino BLE Sense 33 camera
This is a code sample repository for using Convolutional Neural Network (CNN) to build an image classification model to recognition people are correctly wearing the face mask or not.
This repository contains Python code for a face mask type detection project using multiclass classification. The project focuses on classifying different types of face masks, including cloth face masks, N95 face masks, N95 face masks with valves, surgical face masks, and images without any face masks.