In this project, we have developed a deep learning model for face mask detection using Python, Keras, and OpenCV. We developed the face mask detector model for detecting whether person is wearing a mask or not. We have trained the model using Keras with network architecture. Training the model is the first part of this project and testing using webcam using OpenCV is the second part.
Coronavirus disease 2019 has affected the world seriously. According to WHO, One major protection method for people is to wear masks in public areas. In this, we will use Deep Learning to accurately identify that a person wearing a mask or not from a Live Webcam.
Language : Python Machine learning : OpenCV, Numpy, sklearn, matplot etc. Deep learning : Natural Language Processing, Convolutional Neural Network (CNN) Model : Caffe Model, Cascade Model Deep Learning frameworks : TensorFlow, Caffe, and PyTorch. Tools : Visual Studio Code, Jupyter Notebook, Command Prompt, Git Bash, PyCharm
- First we train our machine with data set
- then it create a Deep learning Model
- This Model will help to accurately identify that a person wearing a mask or not from a Live Webcam.
