CORONA SAFETY APP
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 appli
Project Title
CORONA SAFETY APP
Project Area of Specialization
Project 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
- To ensure the public safety from COVID-19.
- To identify the person who are either wearing mask or not.
- To maintain the analytics of people who are either wearing mask or not.
- 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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required 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 |
If you need this project, please contact me on contact@adikhanofficial.com
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