suriya-it19 / Face-Mask-Detection

Face Mask Detection and Alert System

Dataset :

We collected the dataset from various domains and added in our project, link to download the dataset :
https://drive.google.com/drive/folders/1qU6aJx0c9imoggQ-5d4yPC7qG5PXC1vX?usp=sharing

Steps :

1.Train the Model using train_mask_detector.py 
     -> arguments for training 
    1. "-d", "--train", "path to input train dataset"
    2. "-t", "--test", "path to input test dataset"
    3. "-e", "--epochs", "No of Iterations"
    4. "-b", "--batch", "Batch Size"
    5. "-p", "--plot", "path to output loss/accuracy plot with name"
    6. "-m", "--model", "path to output face mask detector model with name"

Alternate Ways :

1.  Incase you need to use the pretrained models; The models we trained wit h150 epochs containg 5,000 Images,
(link for the download -> https://drive.google.com/drive/folders/1bwKw0WMF1xUVBOkVJEN46KH1q86JSejj?usp=sharing)
and start using in the cam file

Face Recognition :

Create Data of your Organization Workers or School Students or College Students, to train

Alert system :

Create an account at twilio and start using the code app.py with your API credentials.
Note: Credentials in the won't work, replace with yours.