Face Mask Detection System built with OpenCV, TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in real-time video streams.
This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. 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.
The dataset used can be downloaded here - Click to Download
This dataset consists of 3955 images belonging to two classes:
- with_mask: 2037 images
- without_mask: 1918 images
The images used were real images of faces wearing and not wearning masks.
- Save all the files in the same folder.
- Save Both the Datasets in the same folder(I named the folder name as Data)
- Install all the modules beforehand (tensorflow, keras, imutils, numpy, opencv-python, matplotlib, etc.)
- Change the path directory as per your system.
PS: Do not forgot to star the repository if you found it useful βπ