Corona Safety On Campus

Project Title

Corona Safety On Campus

Project Area of Specialization Artificial IntelligenceProject Summary

In the present scenario due to Covid-19, there is no efficient
face mask detection applications which are now in high
demand for transportation means, densely populated areas,
residential districts, large-scale manufacturers and other
enterprises to ensure safety. Also, the absence of large
datasets of ‘with_mask’ images has made this task more
cumbersome and challenging.

Project Objectives

This system can therefore be used in real-time applications
which require face-mask detection for safety purposes due
to the outbreak of Covid-19. This project can be integrated
with embedded systems for application in airports, railway
stations, offices, schools, and public places to ensure that
public safety guidelines are followed.

Project Implementation Method

Our face mask detector didn't use any morphed masked
images dataset.

The model is accurate, and since we used the
MobileNetV2 architecture.

It’s also computationally efficient and thus making it
easier to deploy the model to embedded systems
(Raspberry Pi, Google Coral, etc.).

Benefits of the Project

This Project will help institutions to keep an eye on the employees as well as it will gather the data of the new person.

Technical Details of Final Deliverable

In the present scenario due to Covid-19, there is no efficient
face mask detection applications which are now in high
demand for transportation means, densely populated areas,
residential districts, large-scale manufacturers and other
enterprises to ensure safety. Also, the absence of large
datasets of ‘with_mask’ images has made this task more
cumbersome and challenging.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	65000
GPU Upgrade	Equipment	1	65000	65000