CORONA SAFETY APP

Project Title

CORONA SAFETY APP

Project Area of Specialization Computer ScienceProject Summary

This project is about to study on monitoring a human disease and their safety precautions. We all know about the current situation of (COVID-19) in current world. So there is a need to develop application to identify human’s wearing mask or not in crowded areas. And also generates alerts. This application reduce the COVID 19 spread in crowed areas.

Project Objectives

1. To ensure the public safety from COVID-19.
2. To identify the person who are either wearing mask or not.
3. To maintain the analytics of people who are either wearing mask or not.
4. To develop an application that run on Android.

Project Implementation Method

The first step of the application is to collect the data set of images then we have to remove the useless images from the data set now we have to draw bounding box on collected dataset and the n we have to start training of model on dark net using yoloV3 . The next step is to perform the testing of  custom trained weights after that we are ready to detect the people who are either wearing mask or not. At last it will also show the number of people who are either wearing mask or not.

Benefits of the Project

Daily increment in the corona virus patients will decreses. Lack of interest in wearing masks in croweded areas will be monitor easily. Any organization can maintain check and balance on its people easily.

Technical Details of Final Deliverable

TASKS	DELIVERABLES
Dataset collection	Document
Drawing the B-Box on images	Detection of people
Start training using dark net	Identifying people with mask/unmask with images
Testing the trained model	Testing Model of identifying people
Applying object counting API	Counting-Total number of people
Integration the location API	Identifying-the location with API
Connecting Database	Connect whole project with Database to store everything
Final Development	Finalizing-whole development
Final Testing	After-final development whole project will tested.

TASKS

Dataset collection

Drawing the B-Box on images

Start training using dark net

Testing the trained model

Applying object counting API

Integration the location API

Connecting Database

Final Development

Final Testing

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Health Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for People, Life on LandRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Dataset collection	Document
Month 2	Drawing the B-Box on images	Detection of people
Month 3	Start training using dark net	Identifying people with mask/unmask with images
Month 4	Testing the trained model	Testing Model of identifying people
Month 5	Applying object counting API	Counting-Total number of people
Month 6	Integration the location API	Identifying-the location with API
Month 7	Connecting Database	Connect whole project with Database to store everything
Month 8	Final Development	Finalizing-whole development
Month 9	Final Testing	After-final development whole project will tested.
Month 10	Completed Final Project	Final Project