ABSTRACT
The outbreak of the deadly Covid-19 virus has snatched smiles from everyone’s face and now the entire world has been affected directly or indirectly by the effects of the virus, this virus keeps on mutating due to which there is no proper medicine or a final vaccine that assures it will curb the spread of the virus, major countries all over the world has lost more people than in a war and is still losing its people even after getting fully vaccinated. The horror is so much imbibed in each human it seems unrealistic to even think that the world will be normal ever again. This outbreak of the unknown virus is certainly a black-swan event that has annihilated people economically, emotionally, and socially and has made each individual realize the importance of one’s health and how to be a responsible person by taking care of whatever finances one has, as in unprecedented times savings are the only resort left with a person. It is a testing time and everyone is at war, we all are soldiers in this pandemic and our health care workers, administration, and government are trying their best to stop the spread of the disease as it has killed more than four lakh people in India only and in the world tally is more than forty lakhs with numbers increasing. In this appalling situation when everything has been shifted to online mode solutions must be looked at in more technologically driven methods, in today’s world due to rapid advancement in the IT and computer science sector there are ways to track the next rising hotspot of the virus and how it can be contained by taking swift actions if predicted within a particular time frame. Data collection, data analysis, and studying trends can help in assessing the upcoming threats, and in this manner, new job opportunities can also be created as it will involve people being prepared with limited medical knowledge to cure the people affected with the virus. In these times government and administration must adopt technologically backed solutions which will help the system to make accurate decisions based on real-time data-driven modeling capable of identifying the relevant information. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
With the development of mankind and growth of our civilization, more and more need is felt for exploration of and working in hazardous environments. The fast development of technology and capability to perform complex computing has made it possible for mankind to remotely perform some work which would otherwise require manual working in close proximity of hazardous environment. Thus mankind has been able to develop remotely controlled vehicle to explore the hazardous environment. A semi-autonomous Remotely Operated Vehicle (ROV) is developed in the present work. A webcam and sensors mounted on the ROV transmits the picture of the immediate neighbourhood and data collected by sensors, to the computer stationed in a remote control room using a Arduino and a few other modules. The picture and sensor data are presented to the operator by a Man Machine Interface. The operator remotely controls the movement of the ROV using a Joystick interfaced to the computer. The ROV has been successfully tested in an infectious disease ward ( like covid ward) of a hospital to deliver medicine, food, clothes and goods to the patients who are suffering from infectious disease by a health care person controlling the ROV from a remote control room. © 2022 IEEE.
Subject(s)
COVID-19 , Internship and Residency , Humans , India/epidemiology , Pandemics , SARS-CoV-2ABSTRACT
Data Science, being the most imperative part of Medical Science, is contributing its vital role in finding solutions to the greatest existing hurdles. It is being used to develop drugs, diagnose diseases, automate ventilators, and what not in a very short span of time which can otherwise become a very lengthy process. In early 2020 we have seen the arrival of another deleterious disease named as Covid-19. Artificial Intelligence is playing a major role in controlling the outbreak of this disease which has been declared a pandemic by WHO. Elaborating the power of computer vision, in this project we are trying to detect the Covid-19 pandemic with the help of Chest X-rays of the patients suffering from this disease. © 2020 IEEE.