Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in real-time video streams.

COVID-19 pandemic has taken the world by surprise and there is a high need for efficient face mask detection applications for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The sole purpose of this application is to ease this process and make a fully automatic face-mask detection application.

• OpenCV
• Caffe-based face detector
• Tensorflow and Keras
• MobileNetV2

To install the dependencies:

pip install -r requirements.txt

To train the model:

python train_model.py

Alternatively, you can also use the already trained model present in the folder.

To detect face masks in real-time:

python detect_face.py