DESCRIPTION The project is called the Face Mask Detection where it uses facial and object recognition to accurately distinguish those with or without masks.
The program will use a device (e.g. webcam, camera etc.) through which it will detect whether the person or the persons are wearing face masks or not.
If it detects a person without face mask then it will capture an image and store it into the database. This project is needed to prevent higher risk of
spreading the coronavirus and to enforce those who don't follow proper guidelines to wear a mask.
FEATURES
Python
Deep Learning
Tensorflow
Keras
APIs
IMPORTANCE Wearing a facial mask in public has become a mandatory requirement since the start of COVID-19. They’re important in public space
(ex. stadiums, airports, warehouses, and other crowded spaces) where foot traffic is heavy and safety regulations are critical to safeguarding
everyone’s health.
PROBLEM & SOLUTION
Problem: There are people who don’t follow the proper guidelines and thus, create a higher risk of spreading this contagious virus.
Solution: Thus, we need to find a solution to figure out how to detect those who don’t wear and mask and enforce them to put one on. This
program will analyze images and/or videos of faces and will say whether or not they’re wearing a mask. It will be able to accurately
distinguish those with or without masks.