Embedded based monitoring system through DNNs

Project Title

Embedded based monitoring system through DNNs

Project Area of Specialization Artificial IntelligenceProject Summary

Deep neural network requires high processing GPUs to implement which are not available to every other person that is why we are implementing DNNs on the embedded system like raspberry pi for the face and mask detection so that we dont need high processing GPUs.

Project Objectives

Implementing DNNs on small devices like embedded system for face and mask detection and through that detection we are going to challan that person/student who is not wearing a mask.

Project Implementation Method

we divided our project in 3 parts 

1) Implementing already built in face and mask detection through DNNs

2) implementing 1st step with out student body dataset in which our model will train.

3)Challan those students through their emails or portal who is not wearing a masks.

Benefits of the Project

1) We dont need to send the videos or images to the server which contain those GPUs and implemented DNNs.

2)Man labour will be less as we dont need the security guard to check every other student who is wearing masks or not.

3)We will get the embedded device which contain the deep neural network inside it which can perform different tasks regarding computer vision.

Technical Details of Final Deliverable

1) implementing embedded based monitoring system through DNNs

2) Challan will be generated which student is not wearing a mask.

Final Deliverable of the Project HW/SW integrated systemCore Industry EducationOther Industries IT , Security Core Technology Artificial Intelligence(AI)Other Technologies NeuroTechSustainable Development Goals Good Health and Well-Being for People, Quality Education, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	14000
raspberry pi 4 1GB	Equipment	1	9500	9500
rashberry pi	Equipment	1	4500	4500