Smart City Technologies

Halegoua, Germaine R.

doi:10.7551/mitpress/11426.003.0005

Cited by 9 publications

(7 citation statements)

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“…In the recent past many systems have been introduced for reducing the spread of COVID-19.Primarily Blue Dot method [ 9 ] was used which predicted that this COVID-19 as pandemic and it would spread from Wuhan to nearby counties. Health Map facility [ 9 ] used AI and big data resources to identify that the people with initial symptoms of cough is affected by COVID-19. Garcia et al [ 10 ] proposed a detailed research work on proper usage of facial mask to prevent the spread of COVID-19 through coughing droplets and sneezing.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The rapid growth of the COVID-19 can be drastically reduced at public places in the smart city network by detecting the usage of facial mask by the people. In the recent past many systems have been introduced for reducing the spread of COVID-19.Primarily Blue Dot method [ 9 ] was used which predicted that this COVID-19 as pandemic and it would spread from Wuhan to nearby counties. Health Map facility [ 9 ] used AI and big data resources to identify that the people with initial symptoms of cough is affected by COVID-19.…”

Section: Literature Reviewmentioning

confidence: 99%

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IoT Based Smart Assist System to Monitor Entertainment Spots Occupancy and COVID 19 Screening During the Pandemic

Narayanan¹,

Krishnan

Robinson

2022

Wireless Pers Commun

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The greatest threat to the word in recent days is the spread of COVID 19 virus throughout the world. To tackle this problem government of India has implemented various restrictions to be followed to stop the spread of the COVID 19 virus. But most of the time general public forget their responsibilities and don’t follow these restrictions, especially in situations like when their favourite hero’s movie releases in the theatre, and in spending time in hotels, malls and in other entertainment places in spite of governments occupancy restrictions in those places. In order to address this problem we propose an IoT based Smart System for monitoring the occupancy in such entertainment spots and screen the public entry if they dint follow the protocols such as if they dint wear mask or if they have body temperature. This proposed system is implemented on a Raspberry Pi 3B+ processor which runs on a Broadcom processor. For monitoring the occupancy and screen the visitors for mask, we use a Passive Infrared Sensors and Pi camera to count the person entering into the premises. And we use a MLX90614 Infrared temperature sensor for screening the public entry with high temperature. The complete system is implemented using python programming and the details will be uploaded to cloud, authorities can monitor this from a remote place so that the spread of COVID 19 can be restricted in pubic entertainment spots.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

IoT Based Smart Assist System to Monitor Entertainment Spots Occupancy and COVID 19 Screening During the Pandemic

Narayanan¹,

Krishnan

Robinson

2022

Wireless Pers Commun

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“…In the meantime, many systems have been developed for COVID-19 in smart city networks. BlueDot and HealthMap services have been introduced in [9]. BlueDot method was first used to mark the cluster of unusual pneumonia in Wuhan which finally detected the disease as a pandemic.…”

Section: Related Workmentioning

confidence: 99%

An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

Rahman

Manik

Islam

et al. 2020

2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

152

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COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has been fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this disease where wearing a mask is one of them. In this paper, we propose a system that restrict the growth of COVID-19 by finding out people who are not wearing any facial mask in a smart city network where all the public places are monitored with Closed-Circuit Television (CCTV) cameras. While a person without a mask is detected, the corresponding authority is informed through the city network. A deep learning architecture is trained on a dataset that consists of images of people with and without masks collected from various sources. The trained architecture achieved 98.7% accuracy on distinguishing people with and without a facial mask for previously unseen test data. It is hoped that our study would be a useful tool to reduce the spread of this communicable disease for many countries in the world.

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“…In the meantime, several systems on smart city networks have been built for COVID-19 investigated by Kai et al ( 2020 ). Services for BlueDot and HealthMap were implemented (Halegoua et al ( 2020 ). The BlueDot technique was initially used to classify the rare pneumonia cluster in Wuhan and eventually identified the epidemic as a pandemic (Javid et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Smart Mask Protection against the Waves of COVID-19

Goar

Sharma

Yadav

et al. 2022

J Ambient Intell Human Comput

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In the year 2020, the word “pandemic” has become quite popular. A pandemic is a disease that spreads over a wide geographical region. The massive outbreak of coronavirus popularly known as COVID-19 has halted normal life worldwide. On 11th March 2020, the World Health Organization (WHO) quoted the COVID-19 outbreak as a “Pandemic”. The outbreak pattern differs widely across the globe based on the findings discovered so far; however, fever is a common and easily detectable symptom of COVID-19 and the new COVID strain. After the virus outbreak, thermal scanning is done using infrared thermometers in most public places to detect infected persons. It is time-consuming to track the body temperature of each person. Besides, close contact with infected persons can spread the virus from the infected persons to the individual performing the screening or vice-versa. In this research, we propose a device architecture capable of automatically detecting the coronavirus or new COVID strain from thermal images; the proposed architecture comprises a smart mask equipped with a thermal imaging system, which reduces human interactions. The thermal camera technology is integrated with the smart mask powered by the Internet of Things (IoT) to proactively monitor the screening procedure and obtain data based on real-time findings. Besides, the proposed system is fitted with facial recognition technology; therefore, it can also display personal information. It will automatically measure the temperature of each person who came into close contact with the infected humans or humans in public spaces, such as markets or offices. The new design is very useful in healthcare and could offer a solution to preventing the growth of the coronavirus. The presented work hasa key focus on the integration of advanced algorithms for the predictive analytics of parameters required for in-depth evaluations. The proposed work and the results are pretty effectual and performance cognizant for predictive analytics. The manuscript and associated research work integrate the IoT and Internet of Everything (IoE) based analytics with sensor technologies with real-time data so that the overall predictions will be more accurate and integrated with the health sector. Supplementary Information The online version contains supplementary material available at 10.1007/s12652-022-04395-7.

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Smart City Technologies

Cited by 9 publications

References 0 publications

IoT Based Smart Assist System to Monitor Entertainment Spots Occupancy and COVID 19 Screening During the Pandemic

IoT Based Smart Assist System to Monitor Entertainment Spots Occupancy and COVID 19 Screening During the Pandemic

An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network

IoT-Based Smart Mask Protection against the Waves of COVID-19

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