Skip to content

An automated Face Mask detection system and age prediction with Email Authentication is built using the Deep Learning technique called Convolutional Neural Networks (CNN).

Notifications You must be signed in to change notification settings

adityaasawant/Face-mask-detection-and-Age-prediction-with-Email-Authentication

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Face mask detection and age prediction with Email Authentication using Deep Learning.

Problem:

In 2020, Face masks became compulsory for everyone worldwide. However, some people due to their negligence of not wearing the mask, make the situation severe. So for organizations, manually checking everyone 24 hr is a bit tedious task. So here comes an Automated Face Mask detection system and age prediction with Email Authentication which is built using the Deep Learning technique called Convolutional Neural Networks (CNN). This CNN Model is built using the TensorFlow framework and the OpenCV library which is highly used for real-time applications.

TECH/FRAMEWORK USED:

  • OPENCV
  • TENSORFLOW
  • Tkinter
  • KERAS
  • Numpy
  • MOBILE NET V2
  • Xampp Server

Objective:

To make a LIVE STREAM MASK DETECTION SYSTEM where it detects and recognizes the face and warns that person to wear a mask and also sends mail alerts to the admin when it finds someone without the mask.

Here are some Outputs:

fmd_website

fmd_website_working

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT