In San Antonio, the coronavirus pandemic officially began on March 2020 and by April 2020, the CDC began recommending face mask to help slow the spread of the virus. Since then, we have all, at one point or another, been subject to wearing a face mask.
Create a deep learning, convolutional neural network that detects people in images who are wearing face masks and not wearing face masks.
| Options | Description |
|---|---|
| Option 1 | User can select from pre-set images to test the mask detector. |
| Option 2 | User can upload an image to run the mask detector. |
| Option 3 | User can initiate the webcam feature and use the mask detector LIVE--in real time! |
- Airports can use it in combination with CCTV to check if travelers are complying with face mask rules.
- Tensorflow
- VGGNET
- VGG-19
- Flask App
- Open CV
- HAAR Cascade
- Matplotlib