The problem Face Mask Violation and Alert System solves

The purpose was that many service centers gets filled with people in their working time and they have handle the crowd in which they cannot say each and every one to wear a mask,
So the application will help the staff members to control the alarm and as we know as once customers gets to know about the strict regultions followed by any shop they follow the rules.
So once a visitor enter violating the COVID regulations or do not maintain social distancing a alarm get triggered and the visitor gets notified which makes the people realize about his mistake and follow the rules.
In case there is any false alarm in some case that can be prevented by each and every staff by their mobile application.
The system automatically captures the image as a proof of not maintaining the COVID regulations.

Challenges I ran into

Integrating a mobile application to control the alarm system,it was solved by running a flask server at host 0.0.0.0 on separate Thread, which makes the Tkinter application run on the main thread and flask server on a child daemon thread.
Making a Face mask detecction app using normal CNN would take a lot of computing power so I came across Mobil Net V2 architecture in Tensorflow which proved to be better performant and light weight detector model.