scholarly journals COVID Safety Measures Alert System

2021 ◽  
Vol 9 (VII) ◽  
pp. 269-276
Author(s):  
D. Gayatri Devi
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Social Distance ◽  
Face Mask ◽  
Detection Algorithm ◽  
World Health ◽  
Health Crisis ◽  
Protection Method ◽  
Alert Message ◽  
The World

The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection method is wearing a face mask and maintaining social distance in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports Indicate that wearing facemasks and maintaining social distance while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. So we are doing a Project on detecting whether a person wears a mask or not, also giving an alert message to the person to wear a mask, and maintain social distance or not. A hybrid model using deep and classical machine learning for face mask detection will be presented for face mask detection, a face recognition model is used to identify faces and an object detection algorithm is used to identify persons and also calculate social distance between each other. We collected face mask detection dataset consisting of mask and without mask images, and person photos to identify the person. We are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and TensorFlow and Keras, use a face recognition module to identify faces and a YOLO algorithm to detect objects and calculate social distance. Our goal is to identify whether the person on a video stream is wearing a face mask or not, if not give an alert message to wear a mask and check for social distance between each other with the help of computer vision and deep learning.

scholarly journals Face Mask Detection Using Deep Learning and Computer Vision

2022 ◽  
Vol 10 (1) ◽  
pp. 511-516
Author(s):  
Prod. Roshan R. Kolte
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Virus Transmission ◽  
Face Mask ◽  
Video Stream ◽  
World Health ◽  
Health Crisis ◽  
Protection Method ◽  
The World ◽  
Health Organization

Abstract: COVID-19 pandemic has rapidly affected our day-to-day life the world trade and movements. Wearing a face mask is very essentials for protecting against virus. People also wear mask to cover themselves in order to reduce the spread of covid virus. The corona virus covid-19 pandemic is causing a global health crisis so the effective protection method is wearing a face mask in public area according to the world health organization (WHO). The covid-19 pandemic forced government across the world to impose lockdowns to prevent virus transmission report indicates that wearing face mask while at work clearly reduce the risk of transmission .we will use the dataset to build a covid-19 face mask detector with computer vision using python,opencv,tensorflow,keras library and deep learning. Our goal is to identify whether the person on image or live video stream is wearing mask or not wearing face mask this can help to society and whole organization to avoid the transfer of virus one person to antother.we used computer vision and deep learning modules to detect a with mask image and without mask image. Keywords: face detection, face recognition, CNN, SVM, opencv, python, tensorflow, keras.

scholarly journals A Review on COVID-19 Face Mask Detection using CNN

2021 ◽  
pp. 39-45
Author(s):  
Kavita R. Singh ◽  
Shailesh D. Kamble ◽  
Samiksha M. Kalbande ◽  
Punit Fulzele
Keyword(s):  
Computer Vision ◽  
Face Mask ◽  
World Health ◽  
Effective Protection ◽  
Protection Measure ◽  
Public Places ◽  
The World ◽  
Secure Environment ◽  
Health Organization ◽  
Corona Viruses

The World Health Organization claims (WHO),Corona Viruses the COVID-19 pandemic is causing a nationwide crisis, wearing a mask on a face in public places is an effective protection measure. The COVID-19 pandemic forced governments all over the world to implement quarantine measures in order to deter virus spread. Reports suggest that the risk of transmission is clearly minimized by wearing face masks when at work. An effective and economic approach to the use of AI in a manufacturing setting to build a secure environment. Using a face mask detection dataset, we will use Open CV to perform real-time face detection from a live stream from our webcam. Using Keras, Python, Tensorflow and Open CV, and, it will build a COVID-19 face mask detector with computer vision. Using computer vision and CNN, I aim to decide whether or not the person in the image or video streaming is wear a mask.

scholarly journals The Temperature Screening and Face Mask Detection for Preventing Spread of COVID-19

2021 ◽  
pp. 639-646
Author(s):  
Gautami Kale ◽  
Akash Jasoriya ◽  
Divesh Jain ◽  
Abhilasha Narote
Keyword(s):  
Public Service ◽  
Social Distance ◽  
Service Providers ◽  
Virus Disease ◽  
National Level ◽  
Face Mask ◽  
Protection Method ◽  
The World ◽  
Public Areas ◽  
Screen Temperature

Corona virus disease 2019 has affected the world seriously. One major protection method for people is to wear masks in public areas. Furthermore, many public service providers require customers to use the service only if they wear masks correctly. On national level, temperature screening by employers is not mandatory. However, it is strongly recommended for businesses with more than 50 employees and businesses where maintaining social distance may not be realistic. Also government decided to reopen all religious places in this case temperature screening and mask plays crucial role hence we proposed system which automatically detects mask and screen temperature and allows only those who are wearing mask and has body temperature within range. Here we used infrared thermometer for thermal scanning and CNN algorithm for mask detection.

scholarly journals Face Mask Detection System

2021 ◽  
Vol 9 (11) ◽  
pp. 639-642
Author(s):  
Prof. A. T. Sonwane
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Computer Vision ◽  
Image Analysis ◽  
Detection System ◽  
Face Mask ◽  
Public Places ◽  
Protection Method ◽  
The World ◽  
Public Areas

Abstract: There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public places during the coronavirus pandemic. Coronavirus disease 2019 has affected the world seriously. One major protection method for people is to wear masks in public areas. The risk of transmission is highest in public places. However, there are only a few research studies about face mask detection based on image analysis. This paper aims to present a review of various methods and algorithms used for human recognition with a face mask. The proposed system to classify face mask detection using COVID-19 precaution both in images and videos using convolution neural network, TensorFlow and OpenCV to detect face masks on people. This system has various applications at public places, schools, etc. where people need to be detected with the presence of a face mask and recognize them and help society. Keywords: COVID-19, Tensorflow, OpenCV, Face Mask, Image Processing, Computer Vision

TIRYAQ-E-ARBA (A POLY HERBAL UNANI FORMULATION) IN FIGHTING AGAINST COVID 19 LIKE CONDITIONS – UNANI PERSPECTIVE

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Nafisa Qibriya Khan ◽  
A. H. Farooqui ◽  
Syed Ayesha Fatima ◽  
Jalil Ahmad ◽  
Tausif S. Khan
Keyword(s):  
Respiratory Infections ◽  
Transmission Rate ◽  
Multiple Organ ◽  
World Health ◽  
Upper Respiratory Tract ◽  
Health Crisis ◽  
Unani Medicine ◽  
The World ◽  
Health Organization ◽  
Almost All

Coronavirus disease 2019 (COVID-19) is a pandemic disease of modern time with unique and rapid transmission rate and affected almost all the nations without respecting any border. Coronavirus disease 2019 (COVID-19) is arguably the biggest health crisis the world has faced in 21st century. It is an infectious disease and declared pandemic by the World Health Organization. The coronavirus disease 2019 (COVID-19) outbreak, which originated in Wuhan, China, has now spread to 192 countries and administrative regions infecting nearly 800,000 individuals of all ages as of 31 March 2020. Though most infected individuals exhibit mild symptoms including fever, upper respiratory tract symptoms, shortness of breath, and diarrhoea, or are asymptomatic altogether, severe cases of infection can lead to pneumonia, multiple organ failure, and death. Globally, at least 7900 deaths have been directly attributed to COVID19, and this number is expected to rise with the ongoing epidemic. This is particularly crucial as the current outbreak involves a new pathogen (SARS-CoV-2), on which limited knowledge exists of its infectivity and clinical profile. Research is in progress on therapeutic efficacy of various agents including anti-malarials (Chloroquine and Hydroxychloroquine), antiviral drugs, and convalescent serum of recovered patients. Unani system of medicine is one of the traditional systems of medicine which is being explored for providing preventive, supportive and rehabilitative care to patients. Unani system of medicine has a detailed description of drugs that are utilized in many infectious diseases, including respiratory infections. Immune response is essential to eliminate virus and to preclude disease progression to severe stages. Therefore, it is important to summarize the evidence regarding the preventive measures, control options such as immune-stimulator and prophylactic treatment in Unani medicine against Covid19. This review summarizes various pharmacological actions of Unani formulation Tiryaq-e-Arba in Unani literature and various reported pharmacological activities which can possibly provide prevention, control and reduction of complications of this deadly disease.

scholarly journals Four pandemics: lessons learned, lessons lost

2020 ◽  
Keyword(s):  
Public Health ◽  
Lessons Learned ◽  
World Health ◽  
Swine Flu ◽  
Global Public Health ◽  
Health Crisis ◽  
The World ◽  
Spanish Flu ◽  
Future Events ◽  
Health Organization

In the past 100 years, the world has faced four distinctly different pandemics: the Spanish flu of 1918-1919, the SARS pandemic of 2003, the H1N1 or “swine flu” pandemic of 2012, and the ongoing COVID-19 pandemic. Each public health crisis exposed specific systemic shortfalls and provided public health lessons for future events. The Spanish flu revealed a nursing shortage and led to a great appreciation of nursing as a profession. SARS showed the importance of having frontline clinicians be able to work with regulators and those producing guidelines. H1N1 raised questions about the nature of a global organization such as the World Health Organization in terms of the benefits and potential disadvantages of leading the fight against a long-term global public health threat. In the era of COVID-19, it seems apparent that we are learning about both the blessing and curse of social media.

scholarly journals The Covid infodemic

2021 ◽  
Author(s):  
Ken Hyland ◽  
Feng (Kevin) Jiang
Keyword(s):  
Social Anxiety ◽  
Global Health ◽  
Medical Research ◽  
World Health Organization ◽  
Research Methods ◽  
World Health ◽  
Health Crisis ◽  
The World ◽  
Health Organization ◽  
Highly Cited

Abstract Covid-19, the greatest global health crisis for a century, brought a new immediacy and urgency to international bio-medical research. The pandemic generated intense competition to produce a vaccine and contain the virus, creating what the World Health Organization referred to as an ‘infodemic’ of published output. In this frantic atmosphere, researchers were keen to get their research noticed. In this paper, we explore whether this enthusiasm influenced the rhetorical presentation of research and encouraged scientists to “sell” their studies. Examining a corpus of the most highly cited SCI articles on the virus published in the first seven months of 2020, we explore authors’ use of hyperbolic and promotional language to boost aspects of their research. Our results show a significant increase in hype to stress certainty, contribution, novelty and potential, especially regarding research methods, outcomes and primacy. Our study sheds light on scientific persuasion at a time of intense social anxiety.

scholarly journals Penggunaan Aplikasi Google Classroom sebagai Metode Pembelajaran Daring Selama Pandemi Covid-19

2021 ◽  
Vol 14 (2) ◽  
pp. 11-17
Author(s):  
Mirza Ghulamudin Ghulamudin ◽  
Maufur ◽  
Beni Habibi
Keyword(s):  
Distance Learning ◽  
World Health ◽  
Ministry Of Education ◽  
Health Crisis ◽  
Use Of Technology ◽  
The World ◽  
Teachers And Students ◽  
The Government ◽  
Health Organization ◽  
In The Beginning

Covid-19 has now attacked Indonesia, where the spread of the disease is very fast. Not only in Indonesia, but all corners of the world are currently experiencing a health crisis. In the beginning, the spread of Covid-19 had an impact on economic activity which began to sluggish. This also has an impact on the education system in Indonesia. Until several countries decided to close schools and universities. In an effort to prevent the spread of covid-19, the World Health Organization (WHO) recommends temporarily stopping activities that would potentially cause crowds. Even during the outbreak, covid-19 in Indonesia, there were many ways that the government did to prevent its spread through social distancing. Kemendikbud instructed through the Ministry of Education and Culture (Kemendikbud) Directorate of Higher Education Circular No. 1 of 2020 concerning the prevention of the spread of covid-19 in the world of Education to organize distance learning and advise students to learn from their homes. Teachers and students are starting to be required to follow the current situation by using technology as a distance learning medium. One of the media that is being favored by teachers as a learning medium is the Google Classroom application. This application is an application that can make it easier for students and teachers to create effective learning. Given that students today are a generation who are very familiar with the use of technology. The use of technology in learning is an alternative method used by teachers during the Covid-19 Pandemic.

scholarly journals Global Governance and the WHO’s Mandate Post-COVID-19 Crisis

2021 ◽  
Author(s):  
Jean Vilbert
Keyword(s):  
Global Health ◽  
Negative Relationship ◽  
World Health ◽  
First Year ◽  
Health Crisis ◽  
Nation States ◽  
Democratic Principle ◽  
The World ◽  
Distribution Of Power ◽  
Health Organization

The COVID-19 has renovated the debate about global health governance. A number of scholars have proposed that the World Health Organization should assume the position of a central coordinator with hierarchical powers, demanding nation-states to “share their sovereignty”. This article presents four main objections to this project. First, when international institutions receive leverage, they use to impose “one-size-fits-all” policies, which conflicts with the characteristic heterogeny across countries. Second, geopolitical questions and the distribution of power in multilateral institutions put developing countries in a position of vulnerability within a hierarchical order. Third, the risk of crowding out parallel initiatives, especially from non-state actors. Fourth, decisions about health can have a major impact on countries, which may thwart the internal democratic principle. A Pareto improvement would be possible by strengthening the WHO’s operational capacity and its ability to issue technical guidance and coordinate with countries. To test this hypothesis, this study analyses the possible influence of the WHO’s guidance in the first year of the coronavirus health crisis, from January 2020 to January 2021, in 37 countries reported in the World Values Survey Wave 7 (2017-2020). The OLS regression performed shows a statistically significant negative relationship between the trust in the WHO, assumed as a proxy for the level of the organization's penetration, and the number of cases of COVID-19 (per million people) in the countries of the sample. These findings reinforce the hypothesis that there is a valid case for the countries to strengthen the WHO’s mandate post-COVID-19, but they should enhance the operations of provision of reliable information and support. Nation-states, in particular the developing ones, should eschew the temptation to create a hierarchical global health structure, which may not only fail due to countries’ asymmetries but is likely to create losers in the process.

scholarly journals Exploring WHO Communication during the COVID 19 Pandemic through the WHO Website Based on W3C Guidelines: Accessible for All?

2020 ◽  
Vol 17 (16) ◽  
pp. 5663
Author(s):  
Elena Fernández-Díaz ◽  
Patricia P. Iglesias-Sánchez ◽  
Carmen Jambrino-Maldonado
Keyword(s):  
The Elderly ◽  
Point Of View ◽  
World Health ◽  
Health Crisis ◽  
Digital Version ◽  
Recommendations For Action ◽  
The World ◽  
Accessibility Guidelines ◽  
Health Organization ◽  
Health Content

Health crisis situations generate greater attention and dependence on reliable and truthful information from citizens, especially from those organisations that represent authority on the subject, such as the World Health Organization (WHO). In times of global pandemics such as COVID-19, the WHO message “health for all” takes on great communicative importance, especially from the point of view of the prevention of the disease and recommendations for action. Therefore, any communication must be understandable and accessible by all types of people, regardless of their technology, language, culture or disability (physical or mental), according to the World Wide Web Consortium (W3C), taking on special relevance for public health content. This study analysed whether the WHO is accessible in its digital version for all groups of citizens according to the widely accepted standards in the field of the Internet. The conclusion reached was that not all the information is accessible in accordance with the Web Content Accessibility Guidelines 2.1, which implies that there are groups that are, to some extent, left out, especially affecting the elderly. This study can contribute to the development of proposals and suggest ways in which to improve the accessibility of health content to groups especially vulnerable in this pandemic.

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