Open AccessSmart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning
Author(s) -
Shipra Verma,
Manoj Kumar Phadwas
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206262
Subject(s) - internet of things , computer science , covid-19 , big data , analytics , warning system , trace (psycholinguistics) , infectious disease (medical specialty) , computer security , the internet , data science , telecommunications , world wide web , data mining , disease , medicine , linguistics , philosophy , pathology
Our goal is to develop an environment to monitor and controlling a corona virus of 2019 (COVID-19) with I2OT i. e. Intelligent Internet of Things. Analytics have changed the way disease outbreaks are tracked and managed, hence saving lives. Using technology smart sensor, facial recognition and location, existing surveillance cameras to identify, trace, and monitor people that may have contracted the coronavirus. The Internet of Things, a network of interconnected systems and advances in data analytics, artificial intelligence and ubiquitous connectivity can help by providing an early warning system to curb the spread of infectious diseases.