The purpose of this challenge is to use remote-sensing data and satellite images to help form a better understanding of societal trends as affected by COVID-19. Your challenge is to discern how human activity in communities of minority, low-income, tribal, and indigenous populations have changed as a result of COVID-19.
A system of loudspeakers using which it will be possible to notify people of possible COVID-19 danger in their region and necessary hygiene methods. The system uses radio signal to communicate with the server and get notifications about current coronavirus situation.
Our team developed a 3D model of loudspeakers with a radio signal detector that will be able to get messages about coronavirus danger in the respective region and inform people of necessary hygiene methods. What's more, we developed the server part that analyzes the provided data and can convert it into radio signal and send it out to the loudspeaker systems. It is important to notify everybody of the coronavirus statistics to prevent the spread of the disease. We are using the data of COVID-19 cases for each country to determine if the epidemic situation is bad enough to impose any strict restrictions. The data will be sent every day to the loudspeaker system, but if the COVID-19 data is too alarming, we will send a message recommending to provide more restrictions.
This solution is important to citizens of poorer countries around the world as they do not have neither tools to obtain valuable and relevant information about the coronavirus nor medicines to tackle a major virus wave. Consequently, it is better to prevent the spread of the disease by informing people of up-to-date situation in their region. We will use the data about the population and the Facebook user density to partly detect poor countries without widespread access to Internet. They will most likely benefit from our solution the most. We hope to prevent the spread of the disease in countries without the access to good medicine supplies and provide information for those who find it hard to get it.
All of our team members are from Ukraine. Although we all live in big cities and have access to Internet and information, not everybody in villages knows up-to-date information about the COVID-19. Therefore, we decided to create a special solution for poorer neighbourhoods to obtain relevant data on coronavirus situation and necessary hygiene precautions.
We used the most out of the given time and created a complex solution in the given time span.
First of all, a designer in our team developed a CAD model of a system of loudspeakers with a radio signal sensor using SolidWorks. We observed the data about the population and Facebook user density to determine where the loudspeakers are in need and where there is no widespread access to Internet. The sensor and loudspeakers were dessigned to be not very energy-consuming and will not be very expensive to maintain.
Then, we developed a Python sever application that processes the data in the form of JSON and can convert it into a different radio signal depending on the input data.
Such a complex solution will make it possible for people to know more about the threat of the coronavirus disease and prevent its spread.
We used the Facebook population density data by Facebook Data For Good and UN WPP-Adjusted Population Density to determine the needed location of megaphones that need to be placed to notify people of possible dangers.
We use the COVID-19 data drom Our World In Data about every country to provide users with useful information regarding their location.
https://www.canva.com/design/DAEixtOIk9c/sXXufB4dBKcATTd3-gigdA/view?utm_content=DAEixtOIk9c&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink
https://drive.google.com/drive/folders/1G3OteuE163IcdEtwJ500qSvB657IALXo?usp=sharing
We can integrate the server part into the dashboard. If a user wants to view the coronavirus data, they will be asked, whether they want to get notifications every day about the coronavirus situation data in the region that they select. Consequently, our solution will be used by EO Dashboard users.
https://gitlab.com/losamtcifiiku/eodashboard
https://drive.google.com/drive/folders/1G3OteuE163IcdEtwJ500qSvB657IALXo?usp=sharing
We used the Facebook population density data by Facebook Data For Good and UN WPP-Adjusted Population Density to determine the needed location of megaphones that need to be placed to notify people of possible dangers.
We use the COVID-19 data drom Our World In Data about every country to provide users with useful information regarding their location.
We used SolidWorks to build a CAD model of our loudspeakers and Pyhton with gnu radio library to develop a server application that analyzes the data from JSON.
https://gitlab.com/losamtcifiiku/eodashboard
#coronavirus, #epidmic, #pandemic, #danger, #information, #covid, #facebook
This project has been submitted for consideration during the Judging process.