Our choosing of this particular challenge “ Human Factors “ was not easy at all, but with the help of NASA , ESA, JAXA, CSA and CENS data and resources we were able to comply with our decision and arrange our ideas to be faster to use the data, targeting the hotspots of the diseases and appends the infected to assistance them and reducing the spread of this epidemic “ COVID-19 “ for peace, saving life and good health. which has recently spread in all over the world and is currently one of the most famous diseases. Unfortunately, At this moment on May 31 there’s 23449 were infected and 913 case in Egypt only. You can imagine that this happened in one country within a few months, so what about the world ?
Our idea was inspired by such a point regarding the website from OREFO Project and Korea,through iot system, Through NASA's Black Marble map of earth night light and locating congestion, Was used
HTML5, CSS3, javaScript, ES6, Jquery, Bootstrap4, PHP, mySql
In site programming and API
And we used AI (builtin Python) model to identify the face with Python, Overcoming corona infection
First see this video to understand (https://youtu.be/ElUZIFU7A8s)
We use drone with thermographic camera in order to capture people and select those who have temperature > 38 and report their locations to telecom companies to detect their SIM cards and then their data, after that we report all these data to Health center and via call we will inform this human that he may be infected and ask him to be away from any crowd. after confirming infected this human's location timeline during last 14 days will published on map on our website
(You can visit this website from this link: htttp://www.horizons.rf.gd/horizons_closing) and informing all registered users on our website who visited and places may be indicted to be aware.
Also we will use telecom servers and their data to analyse all patients data in order to predict those who are indicted without any syndromes and report health center about him for doing tests on them.
You can see how we are going to do that by review our flowcharts
from below link
https://drive.google.com/file/d/1AXhzrqAaBPptTkEoCJwmQtFAcncnXNlD/view?usp=sharing
From Challenge's resources
The community survey that was conducted in America was approved by the model infections diseases agent study, in which the locations of the elderly were determined because they are the most threatened category and their places of concentration were determined from an economic or health point of view, but unfortunately no other information was available but we saw that the implementation plan of our project is necessary Initially, it should be launched in the places of elderly people, and allocate customized health care, separate from the rest, so that the matter of their monitoring and treatment is quick ,We benefited from NASA SEDAC by identifying the places of extreme crowding, so we determine the places that are suitable because they are like the control centre and are in the centre of crowding, because the drone is flying 30 minutes while we start from the centre of crowding, so we will benefit greatly from it. Through the NASA black marble and the map of the earth night light that they present, we are able to observe the most places that will need the drone to be present at night more than morning, because often places of light are places of subsistence . Why do you discuss drone in the same place at night and morning? In order to achieve the maximum benefit from it, because in the morning, it will be directed to interests, places of business, places of congestion, and at night places will be closed, so it will go to other places where there is congestion in this period and may cause the spread of the epidemic. Also we notice that MIDAS used American Community Survey to find where elderly to work in order be careful during working on solving economic problems to make their place safe as possible because those is easiest prey for the covid-19, depends on that we hope if government applied this project to apply it at first at regions or workspace where we can found a lot of elderly to protect them
The community survey that was conducted in America was
approved by the model infections diseases agent study, in
which the locations of the elderly were determined because
they are the most threatened category and their places of
concentration were determined from an economic or health
point of view, but unfortunately no other information was
available but we saw that the implementation plan of our
project is necessary Initially, it should be launched in the
places of elderly people, and allocate customized health
care, separate from the rest, so that the matter of their
monitoring and treatment is quick ,We benefited from NASA
SEDAC by identifying the places of extreme crowding, so we
determine the places that are suitable because they are like
the control center and are in the center of crowding, because
the drone is flying 30 minutes while we start from the center
of crowding, so we will benefit greatly from it. Through the
nasa black marble and the map of the earth night light that
they present, we are able to observe the most places that