scholarly journals A Survey on Covid Safety System

2021 ◽  
Vol 9 (11) ◽  
pp. 589-593
Author(s):  
Hinal Sodagra
Keyword(s):  
Body Temperature ◽  
Face Mask ◽  
Raspberry Pi ◽  
Infrared Sensor ◽  
Shopping Malls ◽  
Solution System ◽  
Public Places ◽  
Hand Sanitizer ◽  
Security Clearance ◽  
Python Programming

Abstract: In this paper a Raspberry Pi based automated solution system focused on the real-time face monitoring of people to detect both face masks and body temperature with the help of MLX90614 sensor has been proposed. This is implemented using Python Programming with OpenCV Library, TensorFlow, Dlib Module. A security clearance system is deployed that will allow that person to enter if they are wearing a face mask and their body temperature is in check with WHO guidelines. A programmed hand sanitizer apportioning machine is mechanized, non-contact, liquor-based hand sanitizer gadget. Liquor is essentially a dissolvable, and furthermore a generally excellent sanitizer when contrasted with fluid cleanser or strong cleanser, likewise it needn't bother with water to wash off since it is unpredictable furthermore, disintegrates in a split second after application to hands. It is too demonstrated that a convergence of >70% liquor can execute Covid in hands. Here, we have used IR sensor detects the hand put close to it, the Arduino Uno is utilized as a microcontroller, which detects the distance and the outcome isthe pump starts running out the hand sanitizer. Thus, the above said system will help the society by saving time and also helps in contaminating the spread of coronavirus. This can be implemented in public places such as colleges, schools, offices, shopping malls, etc. to inspect people. Keywords: Deep Learning, Open CV, Keras, Python, Tensor Flow, Computer Vision, Raspberry Pi, COVID-19, DLib, Arduino, Sensor, Sanitizer, Infrared sensor

scholarly journals COVID-19 Authorized Entry with Face Mask Detection using Raspberry Pi

2021 ◽  
Vol 9 (VI) ◽  
pp. 1862-1867
Author(s):  
Anju Ajay
Keyword(s):  
Large Scale ◽  
Facial Recognition ◽  
Face Mask ◽  
Raspberry Pi ◽  
Wireless Internet ◽  
Great Demand ◽  
Embedded Device ◽  
Internet Connection ◽  
Battery Power ◽  
Python Programming

There are no effective face mask detection applications in the current COVID-19 scenario, which is in great demand for transportation, densely populated places, residential districts, large-scale manufacturers, and other organizations to ensure safety. In addition, the lack of big datasets of photographs with mask has made this task more difficult. With the use of Python programming, the Open CV library, Keras, and tensor flow, this project presents a way for recognizing persons without wearing a face mask using the facial recognition methodology. This is a self-contained embedded device that was created with the Raspberry Pi Electronic Development Board and runs on battery power. We make use of a wireless internet connection using USB modem. In comparison to other existing systems, our proposed method is more effective, reliable, and consumes significantly less data and electricity

scholarly journals Face Mask Detection and Sanitizer Despenser with Temperature Detection

2021 ◽  
pp. 509-515
Author(s):  
Akash Thakre ◽  
Pravin Hande ◽  
Abhishek Pounikar ◽  
Jaydeo Dabre ◽  
Prof. Virendra Yadav
Keyword(s):  
Temperature Sensor ◽  
Face Mask ◽  
High Accuracy ◽  
Temperature Sensing ◽  
Automated System ◽  
Raspberry Pi ◽  
High Demand ◽  
Public Places ◽  
Temperature Detection ◽  
Simulation Results

In the present scenario due to Covid-19, the need for face mask detection applications, temperature detection and hand sanitizing are now in high demand for Railway Entrance, Airport Entrance, Office Entrance, Museums and Amusement Parks, Other Public Places and enterprises to ensure safety. These steps are now done in manual way by which the personnel may get in contact with the other personnel while sanitizing and checking temperature might not be accurate. To mitigate the problem, aiming to increase Covid-19 entrance safety, covering several relevant aspects: Contactless temperature sensing, Mask detection, Automatic hand sanitizing. Contactless temperature sensing subsystem relies on Raspberry Pi using temperature sensor,while mask detection performed by leveraging computer vision techniques on camera-equipped Raspberry Pi, then the automatic hand sanitizing is achieved by the DC motor connected with the sensor and Raspberry Pi. Any person without temperature check, hand sanitizing and mask scan will not be provided entry. Only person having the conditions satisfied by the system is instantly allowed inside, else the buzzer will alert the security about the situation, if any violation of the condition is found. From the simulation results, it is clearly observed that the proposed method has high accuracy compare to the existing methods. Thus the system provides a 100% automated system to prevent the spread of Covid-19.

scholarly journals Smart Face Mask with an Integrated Heat Flux Sensor for Fast and Remote People’s Healthcare Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7472
Author(s):  
Marc Lazaro ◽  
Antonio Lazaro ◽  
Ramon Villarino ◽  
David Girbau
Keyword(s):  
Heat Flux ◽  
Body Temperature ◽  
Low Cost ◽  
Average Power ◽  
Face Mask ◽  
Heat Flux Sensor ◽  
Breathing Rate ◽  
Public Places ◽  
Flux System ◽  
Average Power Consumption

The COVID-19 pandemic has highlighted a large amount of challenges to address. To combat the spread of the virus, several safety measures, such as wearing face masks, have been taken. Temperature controls at the entrance of public places to prevent the entry of virus carriers have been shown to be inefficient and inaccurate. This paper presents a smart mask that allows to monitor body temperature and breathing rate. Body temperature is measured by a non-invasive dual-heat-flux system, consisting of four sensors separated from each other with an insulating material. Breathing rate is obtained from the temperature changes within the mask, measured with a thermistor located near the nose. The system communicates by means of long-range (LoRa) backscattering, leading to a reduction in average power consumption. It is designed to establish the relative location of the smart mask from the signal received at two LoRa receivers installed inside and outside an access door. Low-cost LoRa transceivers with WiFi capabilities are used in the prototype to collect information and upload it to a server. Accuracy in body temperature measurements is consistent with measurements made with a thermistor located in the armpit. The system allows checking the correct placement of the mask based on the recorded temperatures and the breathing rate measurements. Besides, episodes of cough can be detected by sudden changes in thermistor temperature.

scholarly journals Surveillance for face mask compliance, Chennai, Tamil Nadu, India, October-December, 2020

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257739
Author(s):  
Jagadeesan M. ◽  
Polani Rubeshkumar ◽  
Mohankumar Raju ◽  
Manikandanesan Sakthivel ◽  
Sharan Murali ◽  
...  
Keyword(s):  
Surveillance System ◽  
Tamil Nadu ◽  
Face Mask ◽  
Mitigation Measures ◽  
Shopping Malls ◽  
Cross Sectional ◽  
Public Places ◽  
Media Campaigns ◽  
Time Points ◽  
The Face

Purpose Government of Tamil Nadu, India, mandated the face mask wearing in public places as one of the mitigation measures of COVID-19. We established a surveillance system for monitoring the face mask usage. This study aimed to estimate the proportion of the population who wear face masks appropriately (covering nose, mouth, and chin) in the slums and non-slums of Chennai at different time points. Methods We conducted cross-sectional surveys among the residents of Chennai at two-time points of October and December 2020. The sample size for outdoor mask compliance for the first and second rounds of the survey was 1800 and 1600, respectively, for each of the two subgroups–slums and non-slums. In the second round, we included 640 individuals each in the slums and non-slums indoor public places and 1650 individuals in eleven shopping malls. We calculated the proportions and 95% confidence interval (95%CI) for the mask compliance outdoors and indoors by age, gender, region, and setting (slum and non-slum). Results We observed 3600 and 3200 individuals in the first and second surveys, respectively, for outdoor mask compliance. In both rounds, the prevalence of appropriate mask use outdoors was significantly lower in the slums (28%-29%) than non-slum areas (36%-35%) of Chennai (p<0.01). Outdoor mask compliance was similar within slum and non-slum subgroups across the two surveys. Lack of mask use was higher in the non-slums in the second round (50%) than in the first round of the survey (43%) (p<0.05). In the indoor settings in the 2nd survey, 10%-11% among 1280 individuals wore masks appropriately. Of the 1650 observed in the malls, 947 (57%) wore masks appropriately. Conclusion Nearly one-third of residents of Chennai, India, correctly wore masks in public places. We recommend periodic surveys, enforcement of mask compliance in public places, and mass media campaigns to promote appropriate mask use.

scholarly journals Auto Temperature and Mask Scanning Entry System

2021 ◽  
pp. 557-562
Author(s):  
Rubana Khan ◽  
Kshitij Rangari ◽  
Chetan Asutkar ◽  
Payal Kapse ◽  
Tejaswi Vaidya ◽  
...  
Keyword(s):  
Computer Vision ◽  
Body Temperature ◽  
Data Privacy ◽  
Large Scale ◽  
Face Mask ◽  
Temperature Sensing ◽  
Infrared Sensor ◽  
Thermal Camera ◽  
Railway Stations ◽  
Social Distancing

Now that many shops, offices and institutions are re-opening again after the Corona lockdown, many businesses are faced with the need to provide the best possible protection for their staff and customers. Face masks and body temperature checks play an important part in the protection effort. While this is already done routinely and at a large scale at airports or railway stations, many businesses and institutions are struggling to meet the challenge. Face mask monitoring often requires additional staff resources. At the same time, body temperature checks by staff come with certain risks in terms of hygiene and data privacy. In this project, we introduce an affordable IoT-based solution aiming to increase COVID-19 indoor safety, covering several relevant aspects: 1) contactless temperature sensing 2) mask detection. Contactless temperature sensing subsystem relies on Arduino Uno using infrared sensor or thermal camera, while mask detection and social distancing check are performed by leveraging computer vision techniques on camera- equipped computer.

scholarly journals Information sources, knowledge and compliance to COVID-19 safety protocol in Borno State, Nigeria

2021 ◽  
Vol 4 (2021) ◽  
pp. 55-82
Author(s):  
Joseph Wilson ◽  
◽  
Chima Onuekwe ◽  
Abdulmutallib Ado Abubakar ◽  
Collins Owili ◽  
...  
Keyword(s):  
Face Mask ◽  
The State ◽  
Survey Method ◽  
Sources Of Information ◽  
Public Places ◽  
Safety Measures ◽  
Hand Sanitizer ◽  
Global Campaign ◽  
Sources Of Knowledge ◽  
Knowledge Attitude And Practice

Borno State, Nigeria has experienced active COVID-19 with quite a number of cases and mortalities. The extensive global campaign to create awareness about the pandemic and safety measures through various stakeholders appeared to have worked, especially when it became obvious that people in Borno keyed into safety protocols and observed the lockdown. They wore face masks, routinely applied hand sanitizers and handwashing in public places. It was observed, at some points however, there was obvious nonadherence to these protocols. Therefore, this study examines adherence to COVID-19 safety protocol issues in the state. Could the noncompliance be by those not aware or knowledgeable about the pandemic? Are there issues with the sources of information? The objectives of the study are to determine: the sources of information/knowledge on COVID-19; the effectiveness of the sources of information/knowledge on COVID-19; level of compliance to COVID-19 preventive/safety measures, and to identify challenges in complying with COVID-19 safety/preventive measures. The study used knowledge, attitude and practice theory employed survey method as well as convenience and purposive sampling techniques to select 2949 respondents across three LGAs in the state. The study found that people are aware and knowledgeable about the pandemic. The mass media, especially radio are the major sources of information. The noncompliance to COVID-19 safety protocol is largely due lack of fund to purchase and use face mask and hand sanitizer. It concludes that there are diverse sources of knowledge and information with poor compliance to the safety protocols in Borno State.

scholarly journals Face Mask Detection System using Mobilenetv2

2021 ◽  
Vol 10 (4) ◽  
pp. 127-129
Author(s):  
Mayank Arora ◽  
Sarthak Garg ◽  
Srivani A.
Keyword(s):  
Feature Detection ◽  
Detection System ◽  
Face Mask ◽  
Image Feature ◽  
Raspberry Pi ◽  
Computationally Efficient ◽  
Public Places ◽  
Application Systems ◽  
Develop Software ◽  
The Face

In this pandemic, it is getting more and more difficult to keep a track of people who are wearing masks regularly or not. It cannot solely depend on human efforts to take care of this task and therefore there is a need to develop software that can automatically detect whether any given person is wearing a mask or not. Face Detection has evolved as a really popular problem in image processing and computer vision. Many new algorithms are being devised using convolutional architectures to form the algorithm as accurately as possible. These convolutional architectures have made it possible to extract even the pixel details. Training is performed through Fully Convolutional Neural Networks to semantically segment out the faces present in that image. Feature detection and feature extraction techniques help us identify whether a person is wearing a mask or not. The face mask detector will use a dataset of morphed masked images. Therefore, the created model will be accurate and it will also be computationally efficient and easily deployable in embedded systems since the MobileNetV2 architecture will be incorporated (Raspberry Pi, Google Coral, etc.). This framework can also be used in real-time applications that, due to the outbreak of Covid-19, require face-mask detection for safety purposes. This project can be merged with embedded application systems at airports, train stations, workplaces, schools, and public places to ensure compliance with the guidelines for public safety. The above topic is very prominent in recent times as the identification process will not only help us classify individuals but also will reduce the workforce required to do the same exponentially.

Assessing the Use of Biometric Ear Tags as Body Temperature Monitoring Devices in Swine

2021 ◽  
Vol 99 (Supplement_2) ◽  
pp. 45-46
Author(s):  
Ellie A Amerson ◽  
Harrison Moss ◽  
Suresh Kumar ◽  
Terry D Brandebourg
Keyword(s):  
Body Temperature ◽  
Pearson Correlation ◽  
Disease Outbreaks ◽  
Correlation Coefficients ◽  
Raspberry Pi ◽  
Herd Health ◽  
Swine Industry ◽  
Sickness Behaviors ◽  
Large Production ◽  
Monitoring Devices

Abstract It is difficult to detect the subtle changes associated with sickness behaviors in individual pigs early enough to prevent disease outbreaks in group housing settings within large production facilities. This failure results in significant losses to the swine industry. Strategies that allow early detection of parameters such as febrile responses could therefore significantly improve herd health and producer profitability. Our objective was to determine if the use of a biometric ear tag capable of measuring temperature could be used to accurately monitor body temperature in swine. To accomplish this, 42-d-old pigs (n = 21) were fitted with biometric ear tags for 35 d. These devices continuously measured auricular skin temperature and allowed data collection via a paired raspberry pi aggregator. During this period, repeated epidermal temperatures were also taken daily on the rump, shoulder, and ear using a clinical grade infrared thermometer. Correlation analysis using the PROC CORR procedure of SAS was then conducted to determine the ability of the biometric device to estimate body temperature relative to estimates from the clinical device. Infrared temperature readings for the ear significantly correlated with those taken at the shoulder (P &lt; 0.0001) and rump (P &lt; 0.0001). Importantly, temperature readings measured by the biometric ear tags also significantly correlated with infrared readings at the ear (P &lt; 0.0001), shoulder (P &lt; 0.0001) and rump (P &lt; 0.0001) with Pearson Correlation coefficients of 0.51, 0.21, and 0.23, respectively. Collectively, these data support the hypothesis that the biometric ear tag device tested during this trial can be used to continuously monitor body temperature in young swine. These results indicate that further efforts to develop these devices as novel herd health monitoring devices is indeed warranted with the next step involving the assessment of their ability to detect physiological changes in body temperature.

scholarly journals The effect of religion on the perception of health states among adults in the United Arab Emirates: a qualitative study

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e016969 ◽  
Author(s):  
Iffat Elbarazi ◽  
Nancy J Devlin ◽  
Marina-Selini Katsaiti ◽  
Emmanuel A Papadimitropoulos ◽  
Koonal K Shah ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Shopping Malls ◽  
Structured Interviews ◽  
Health States ◽  
Public Places ◽  
Al Ain ◽  
Value Sets ◽  
And Gender ◽  
Perception Of Health

ObjectivesInvestigate how religion may affect the perception of health states among adults in the United Arab Emirates and the implications for research on self-reported health and quality of life and the use of values in cost-effectiveness analysis.DesignQualitative analysis of short-structured interviews with adult Emiratis carried out by a market research agency.The COREQ criteria have been used where appropriate to guide the reporting of our findings.SettingParticipants were recruited from shopping malls and other public places in the cities of Al Ain and Abu Dhabi.ParticipantsTwo hundred adult Emiratis broadly representative of the Emirati population in terms of age and gender.ResultsEighty one per cent of participants said that their perception of health states was influenced by their spiritual or religious beliefs. The two overarching themes that seemed to explain or classify these influences were ‘fatalism’ and ‘preservation of life’. Subthemes included powerlessness to change what is preordained by God, fear of disability (particularly diminished mobility) and appreciation of health and life and the requirement to look after one’s health. A final theme was that of acceptance, with respondents expressing a willingness to endure suffering and disability with patience in the expectation of rewards in the hereafter.ConclusionsOur results emphasise the need for further work to establish locally relevant value sets for Muslim majority countries in the Middle East and elsewhere for use in health technology assessment decision-making, rather than relying on value sets from other regions.

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