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 Bare Face Person Recognition System using Deep Learning

2021 ◽  
Vol 9 (VI) ◽  
pp. 329-337
Author(s):  
Prachi Satpute
Keyword(s):  
Deep Learning ◽  
Public Space ◽  
Service Providers ◽  
Virus Disease ◽  
Face Mask ◽  
Control Measures ◽  
World Health ◽  
Camera System ◽  
Simplified Approach ◽  
The World

Nowadays, maintaining a good hygiene is very important to prevent many diseases like Corona Virus Disease (COVID-19). It has been rapidly affected our day-today life by disrupting the world trade and movements. The World Health Organization (WHO) recommend to the world that all people must wear a mask to prevent COVID-19. The use of masks is part of a comprehensive package of prevention and control measures that can limit the spread of certain respiratory viral diseases. Wearing a protective mask has become a new normal and beneficial for human being to avoid certain diseases. In the near future, many public service providers will ask the customers to wear the masks to provide their services. Therefore, face mask detection has become an important task to help global society. This paper introduce a simplified approach for face mask detection by using Deep learning and python as the programming language. We are also using Open-CV, to search for faces within a picture and then identifies if it has a mask on it or not. By using this system, the surveillance camera system present at some public Space will automatically detect whether the persons are wearing a mask or not.

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

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 Use of face mask in COVID-19 pandemic-a review

2021 ◽  
Vol 9 (12) ◽  
pp. 3750
Author(s):  
Santosh Kumar Swain ◽  
Pragnya Paramita Jena
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Virus Disease ◽  
Minimum Cost ◽  
Face Mask ◽  
Medical Community ◽  
Care Workers ◽  
Surgical Masks ◽  
The World ◽  
The Face

The current novel corona virus disease 2019 (COVID-19) is a highly infectious disease of the respiratory tract and rapidly spreading all over the world in short span of time. In current COVID-19 pandemic, use of the face mask is becoming usual and ubiquitous for both health care workers and public individuals. Wearing face mask is one of the non-pharmaceutical interventions which need minimum cost and provide dramatic response for preventing the COVID-19 infection. Limited availability of the vaccine and inadequate supply of therapeutic options, face mask use is an important part for public health measures for restricting the COVID-19 spread. Regardless of the debate among medical community regarding global face mask production shortage, a greater number of countries in the world are moving ahead with recommendations or mandates for using face mask in public. As currently global shortage of N95/FFP2 respirators and surgical masks for use by health care workers in the hospitals, simple cloth masks will act as a pragmatic solution for the use of the public. General public often use the surgical mask or even filtering facepiece (FFP) masks irrespective of their need, resulting unnecessary shortage for needy individuals those are exposed to the patients or those are health care workers. So, this review article will clarify the indication of the different types of masks and their rational use in the current COVID-19 pandemic.

scholarly journals How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

2021 ◽  
Vol 11 (5) ◽  
pp. 2070
Author(s):  
Borut Batagelj ◽  
Peter Peer ◽  
Vitomir Štruc ◽  
Simon Dobrišek
Keyword(s):  
Visual Information ◽  
Service Providers ◽  
Face Mask ◽  
World Health ◽  
Detection Techniques ◽  
Face Images ◽  
The World ◽  
Public Behavior ◽  
Face Datasets ◽  
Health Organization

The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of November 2020, the global number of new coronavirus cases had already exceeded 60 million and the number of deaths 1,410,378 according to information from the World Health Organization (WHO). To limit the spread of the disease, mandatory face-mask rules are now becoming common in public settings around the world. Additionally, many public service providers require customers to wear face-masks in accordance with predefined rules (e.g., covering both mouth and nose) when using public services. These developments inspired research into automatic (computer-vision-based) techniques for face-mask detection that can help monitor public behavior and contribute towards constraining the COVID-19 pandemic. Although existing research in this area resulted in efficient techniques for face-mask detection, these usually operate under the assumption that modern face detectors provide perfect detection performance (even for masked faces) and that the main goal of the techniques is to detect the presence of face-masks only. In this study, we revisit these common assumptions and explore the following research questions: (i) How well do existing face detectors perform with masked-face images? (ii) Is it possible to detect a proper (regulation-compliant) placement of facial masks? and (iii) How useful are existing face-mask detection techniques for monitoring applications during the COVID-19 pandemic? To answer these and related questions we conduct a comprehensive experimental evaluation of several recent face detectors for their performance with masked-face images. Furthermore, we investigate the usefulness of multiple off-the-shelf deep-learning models for recognizing correct face-mask placement. Finally, we design a complete pipeline for recognizing whether face-masks are worn correctly or not and compare the performance of the pipeline with standard face-mask detection models from the literature. To facilitate the study, we compile a large dataset of facial images from the publicly available MAFA and Wider Face datasets and annotate it with compliant and non-compliant labels. The annotation dataset, called Face-Mask-Label Dataset (FMLD), is made publicly available to the research community.

scholarly journals An Integrated Approach for Monitoring Social Distancing and Face Mask Detection Using Stacked ResNet-50 and YOLOv5

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2996
Author(s):  
Inderpreet Singh Walia ◽  
Deepika Kumar ◽  
Kaushal Sharma ◽  
Jude D. Hemanth ◽  
Daniela Elena Popescu
Keyword(s):  
Social Distance ◽  
Surveillance System ◽  
Integrated Approach ◽  
Face Mask ◽  
Safety Measures ◽  
Social Distancing ◽  
The People ◽  
The World ◽  
Video Feed ◽  
Key Aspects

SARS-CoV-19 is one of the deadliest pandemics the world has witnessed, taking around 5,049,374 lives till now across worldwide and 459,873 in India. To limit its spread numerous countries have issued many safety measures. Though vaccines are available now, still face mask detection and maintain social distance are the key aspects to prevent from this pandemic. Therefore, authors have proposed a real-time surveillance system that would take the input video feed and check whether the people detected in the video are wearing a mask, this research further monitors the humans for social distancing norms. The proposed methodology involves taking input from a CCTV feed and detecting humans in the frame, using YOLOv5. These detected faces are then processed using Stacked ResNet-50 for classification whether the person is wearing a mask or not, meanwhile, DBSCAN has been used to detect proximities within the persons detected.

Development of Automated Disinfection Chamber for Curtailing Spread of COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
A.A Raji
Keyword(s):  
Human Body ◽  
Power Supply ◽  
Performance Test ◽  
Virus Disease ◽  
Face Mask ◽  
Protective Equipment ◽  
Infrared Sensor ◽  
The World ◽  
Precautionary Measures ◽  
Disinfection Chamber

Corona virus disease (COVID-19) has claimed more lives in recent times than any other known disease. It is a pandemic that the World is battling. Observation of precautionary measures remains one of the strongest means of curtailing the spread of the disease. These measures include social distancing, use of face mask and personal protective equipment, as well as proper sanitization with recommended disinfectant or sanitiser. This work, therefore, delves into the development of a disinfection chamber for spraying sanitiser liquid to the human body and large surfaces as well as parts infected with the virus via pump-nozzle. The chamber is 7ft tall and is made of wood and aluminium. The electronic part of the disinfection chamber comprises an infrared sensor for detecting the presence of humans in the chamber, PIC16F72 microcontroller which sends a signal to DC pump via the output relay for releasing the sanitiser for five seconds, and power supply unit which provides the required D.C supply to power the circuit. The performance test shows the disinfection chamber is functional and releases the sanitizing liquid for five seconds after which it cuts off to await the entrance of another person. The device is recommended for use in hospitals, campuses, offices, and so on.

Emerging Problems in Public Administration

1940 ◽  
Vol 34 (2) ◽  
pp. 217-231
Author(s):  
Henry A. Wallace
Keyword(s):  
United States ◽  
Public Administration ◽  
Public Service ◽  
National Level ◽  
The United States ◽  
Government Service ◽  
Men And Women ◽  
The World ◽  
Clear Thinking ◽  
The Government

Thoughtful men cannot long be associated with government without beginning to ask questions, both as to the technique of administration and the underlying policies with which these techniques must reckon. It is good, therefore, that those in the government service who are most interested in public administration should meet from time to time with the professors and publicists who also are interested. I wish to do my part, therefore, in helping in the baptismal ceremonies for this new society which has in it so much promise. To the non-governmental members of the society I wish to pass on the observation which my father made when he came as Secretary of Agriculture to Washington in 1921. Leaving Iowa, he shared to some extent the widespread public opinion that government servants are both clock-watchers and chair-warmers. Within a few months he had completely changed his ideas and told me that he would like to bring some government men back with him into business because they were so exceedingly clear-thinking and efficient.While we in the United States have not as yet so completely recognized public service as a career as they have in England or France, and while there is undoubtedly great room for improvement, I am nevertheless convinced that nowhere in the world will you find a better group of earnest, hard-working, efficient men and women than those who are engaged in American public service, whether it be on the local or the national level. Of course, by taking thought they can improve their service, and that, I take it, is the object of this organization.

scholarly journals Correlation Between SARS-Cov-2 Vaccination, COVID-19 Incidence and Mortality: Tracking the Effect of Vaccination on Population Protection in Real Time

2021 ◽  
Vol 12 ◽  
Author(s):  
Kiyoshi F. Fukutani ◽  
Mauricio L. Barreto ◽  
Bruno B. Andrade ◽  
Artur T. L. Queiroz
Keyword(s):  
Real Time ◽  
Social Distance ◽  
Rapid Development ◽  
Face Mask ◽  
Public Database ◽  
The Public ◽  
Start Date ◽  
Incidence And Mortality ◽  
The World

Coronavirus disease 19 (COVID-19) has struck the world since the ending of 2019. Tools for pandemic control were scarce, limited only to social distance and face mask usage. Today, upto 12 vaccines were approved and the rapid development raises questions about the vaccine efficiency. We accessed the public database provided by each country and the number of death, active cases, and tests in order to evaluate how the vaccine is influencing the COVID-19 pandemic. We observed distinct profiles across the countries and it was related to the vaccination start date and we are proposing a new way to manage the vaccination.

scholarly journals Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method

2021 ◽  
Vol 21 (1) ◽  
pp. 21-30
Author(s):  
Radimas Putra Muhammad Davi Labib ◽  
Sirojul Hadi ◽  
Parama Diptya Widayaka
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Face Mask ◽  
World Health ◽  
Cascade Classifier ◽  
The World ◽  
Public Areas ◽  
The Face ◽  
Haar Cascade ◽  
Health Organization

In December 2019, there was a pandemic caused by a new type of coronavirus, namely SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus 2) spread almost throughout the world. The World Health Organization (WHO) named it COVID-19 (Coronavirus Disease). To minimize the spread of the COVID-19, the Indonesian government announced a policy for the social distancing of 1-2 meters and wearing a medical mask. In this study, a mask detection system was built using the Haar Cascade Classifier method by detecting the facial areas such as the nose and lips. The study aims to distinguish between using masks and on the contrary. It is expected that the mask detection system can be implemented to provide direct warnings to people who do not wear masks in public areas. The results using the Haar Cascade Classifier method show that the system designed is able to detect faces, noses, and lips at a light intensity of 80-140 lux. The face is detected at a distance of 30-120cm, while the nose is at a distance of 30-60cm, while the lips are at a distance of 30-70cm. The system designed can perform the detection process at a speed of 5 fps. The overall test results obtained a success rate of 88,89%.

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