scholarly journals Social Distancing Detector using Image Processing

2021 ◽  
pp. 542-545
Author(s):  
Aman Kumar Sao ◽  
Harish Khedekar ◽  
Chirag Panpaliya ◽  
Shantanu Korde ◽  
Ms. Kavita S. Kumavat
Keyword(s):  
Image Processing ◽  
Public Awareness ◽  
Social Distancing ◽  
Detection Model ◽  
Model Object ◽  
Learning Framework ◽  
The Social ◽  
The World ◽  
Feasible Option ◽  
Bounding Boxes

The lack of public awareness and negligence, the pandemic due to coronavirus(covid19) has brought a global crisis with its deadly spread to more than 180 countries, and about 147 million confirmed cases along with 3.11 million deaths globally as of 26th April 2021. Due to the absence of the vaccine against the covid19 the world has suffered a lot. Though scientists have developed several vaccines then also the pandemic is still out of control so therefore the only feasible option available to us is social distancing. And this notion motivated us to bring up the idea of a social distancing detector using image processing which includes a deep learning framework for automation task monitoring. The framework utilizes the YOLO v3 model object detection model to separate moving people from the background and to detect people by using bounding boxes. The basic idea of this article is to analyze the social distancing violation index rate that how many people violate the rule of social distancing in a particular interval of time.

scholarly journals Social Distancing Detector using YOLO v3 Image Processing Algorithm

2021 ◽  
pp. 783-787
Author(s):  
Ms. Kavita S. Kumavat ◽  
Aman Kumar Sao ◽  
Harish Khedekar ◽  
Chirag Panpaliya ◽  
Shantanu Korde
Keyword(s):  
Image Processing ◽  
Public Awareness ◽  
Image Processing Algorithm ◽  
Social Distancing ◽  
Detection Model ◽  
Model Object ◽  
Learning Framework ◽  
The Social ◽  
Feasible Option ◽  
Bounding Boxes

The lack of public awareness and negligence, the pandemic due to coronavirus(covid19) has brought a global crisis with its deadly spread to more than 180 countries, and about 147 million confirmed cases along with 3.11 million deaths globally as of 26th April 2021. Due to the absence of the vaccine against the covid19 the world has suffered a lot. Though scientists have developed several vaccines then also the pandemic is still out of control so therefore the only feasible option available to us is social distancing. And this notion motivated us to bring up the idea of a social distancing detector using image processing which includes a deep learning framework for automation task monitoring. The framework utilizes the YOLO v3 model object detection model to separate moving people from the background and to detect people by using bounding boxes. The basic idea of this article is to analyze the social distancing violation index rate that how many people violate the rule of social distancing in a particular interval of time.

scholarly journals The Influence of COVID-19 on Indonesian Investment

2020 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Jeliastiva Jeliastiva ◽  
Farid Fachrurazi
Keyword(s):  
Economic System ◽  
Large Scale ◽  
Domestic Investment ◽  
Social Distancing ◽  
Work From Home ◽  
The Social ◽  
The World ◽  
Almost All

The COVID-19 outbreak has had a serious impact on almost all countries in the world, including Indonesia. In response to this case, various policies began to emerge. Starting from the implementation of work from home, social distancing and physical distancing, until the implementation of large-scale social restrictions (PSBB). overseas investors are busy focusing their finances on the needs of their respective countries to fight the virus. Domestic investment (PMDN) is also predicted to experience a slowdown. The social distancing policy resulted in the community not being able to run the economic system well, especially in the Indonesian investment sector so that the perokoniman namely investment in Indonesia decreased and there were some delays in investment by other countries in Indonesia.

scholarly journals Social Distancing Perspektif Tasawuf Sebagai Konsep Perbaikan Diri di Era New Normal (Studi Pemikiran Al-Ghazali)

ESOTERIK ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 159
Author(s):  
Abdullah Abdullah
Keyword(s):  
World Health ◽  
Basic Difference ◽  
New Normal ◽  
Social Distancing ◽  
Religious Doctrine ◽  
Processing Data ◽  
Library Research ◽  
The Social ◽  
The World ◽  
Health Organization

<p class="06IsiAbstrak">The religion approach in realizing the new normal scenario in the pandemic era is urgent considering that religious doctrine is easier to accept and obey. So that it can be an effective step to prevent transmission. This research is qualitative research. This type of research is library research. The data collection method is done by reading and taking notes and processing data related to the social distancing perspective of Al-Ghazali's works of Sufism. This study found similarities between the social distancing perspective of the World Health Organization (WHO) and the social distancing perspective of Al-Ghazali's Sufism. This similarity is at least in two ways, first both emphasize the importance of maintaining distance from others, the second in the realm of strategy. The basic difference is in the realm of goals. The existence of this equation causes social distancing in the new normal era, the perspective of Sufism is important to offer and deserve to be published. and other things that underlie are two things, first, so that social distancing is not only maintaining immunity but also maintaining faith. The two social interaction strategies originating from religious doctrine will be easier to comply with given the ineffectiveness of government advice in implementing social distancing. Efforts to maintain one's consistency in implementing social distancing, there are three things that need to be considered, first to keep busy with positive things at home, second always to remember the dangers of interacting with the general public, third to minimize dependence on other people.</p>

scholarly journals The Challenge of Forecasting Demand of Medical Resources and Supplies During a Pandemic: A Comparative Evaluation of Three Surge Calculators for COVID-19

2020 ◽  
Author(s):  
Amina A. Kamar ◽  
Noel Maalouf ◽  
Eveline Hitti ◽  
Ghada El Eid ◽  
Hussain A Ismaeel ◽  
...  
Keyword(s):  
Comparative Evaluation ◽  
Healthcare Professionals ◽  
Healthcare Systems ◽  
World Health ◽  
Medical Resources ◽  
Social Distancing ◽  
The Social ◽  
The World ◽  
Health Organization

Ever since the World Health Organization (WHO) declared the new coronavirus disease 2019 (COVID-19) as a pandemic, there has been a public health debate concerning medical resources and supplies including hospital beds, intensive care units (ICU), ventilators, and Protective Personal Equipment (PPE). Forecasting COVID-19 dissemination has played a key role in informing healthcare professionals and governments on how to manage overburdened healthcare systems. However, forecasting during the pandemic remained challenging and sometimes highly controversial. Here, we highlight this challenge by performing a comparative evaluation for the estimations obtained from three COVID-19 surge calculators under different social distancing approaches, taking Lebanon as a case study. Despite discrepancies in estimations, the three surge calculators used herein agree that there will be a relative shortage in the capacity of medical resources and a significant surge in PPE demand as the social distancing policy is removed. Our results underscore the importance of implementing containment interventions including social distancing in alleviating the demand for medical care during the COVID-19 pandemic in the absence of any medication or vaccine. It is said that ″All models are wrong, but some are useful″, in this paper we highlight that it is even more useful to employ several models.  

scholarly journals Social Responsibilities in COVID-19: Pandemic

2021 ◽  
pp. 149-153
Author(s):  
Mayur B. Wanjari ◽  
Deeplata Mendhe ◽  
Pratibha Wankhede ◽  
Sagar Alwadkar
Keyword(s):  
Death Rate ◽  
Respiratory Infections ◽  
The United States ◽  
Social Distancing ◽  
Social Responsibilities ◽  
The Social ◽  
The World ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Day By Day

Recent coronavirus discovered causes the coronavirus infection COVID-19 is also an infectious disease known to cause severe respiratory infections. This most recent virus and infection were unidentified until the epidemic in Wuhan in December 2019, China. Coronavirus has spread around the world and been declared a pandemic by the WHO. The disease has infected several nations, including Italy, Spain, and the United States, with brutality as the death rate rises day by day. The illness may transmit to cough or sneezes via small droplets. Therefore, social distancing is the only way to prevent the transmission as There is no vaccine available for prevention from thecoronavirus. One can reduce the chances of being infected by taking some social distancing measures which will reduce COVID-19 transmission. In the pandemic COVID-19, every individual’s responsibility is to follow all the social distancing measures, to follow the lockdown without being casual about the disease, to save our self, our family, community, and nation from novel coronavirus.

scholarly journals Ultra-Sensor Based Social Distancing Device

2021 ◽  
pp. 237-241
Author(s):  
K. Harshita ◽  
R. Moni Pravallika ◽  
T. Lakshmi Prasanna ◽  
Sk. Nazma ◽  
S. Parvathi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
World Health Organization ◽  
Social Distance ◽  
Outdoor Environment ◽  
World Health ◽  
Localization Method ◽  
Social Distancing ◽  
The Social ◽  
The World ◽  
Health Organization

According to the world health organization, social distancing will be proven to be the only solution to fight with COVID-19. In this, an innovative localization method was proposing to track humans ‘position in an outdoor environment based on sensors is proposed with the help of artificial intelligence, this device is handy to maintain a social distancing. Duringcovid-19pandemicsituation, there is a need of maintaining social distance. If any person is approaching us, getting indication to maintain social distance is the need of the hour. Offices, public transports, grocery shops where the social distancing is mandatory. Since we can be cautious in front sideways to maintain the distance sensors are used in this model to alert the person to maintain social distance.

scholarly journals Manav Rakshak: Device to Help Maintain Social Distancing

2020 ◽  
Vol 9 (4) ◽  
pp. 2401-2403
Keyword(s):  
Minimum Distance ◽  
World Health ◽  
Social Distancing ◽  
The Social ◽  
The World ◽  
Precautionary Measures ◽  
Proactive Measures ◽  
Health Organization ◽  
Smart Wearable ◽  
Health Experts

Abstract: On March 11, 2020, the World Health Organization (WHO) confirmed COVID-19 a pandemic, in response to the more than 1,00,000 confirmed cases globally in more than 100 countries, and the persistent threat of spreading further. Presently, there is no medicine to cure or vaccine to prevent the spread of COVID 19. The only way to curb its menace is taking precautionary measures as advised by Health experts. Social distancing i.e. maintaining a minimum distance of 1-1.5 meter between two individuals is one of the proactive measures advised by WHO. In this paper, an ATMEGA (open source) based Smart wearable device “Manav Rakshak” is proposed. It can be worn while travelling outside home and will help in maintaining the social distancing thereby curb the spread of COVID-19.

scholarly journals Social distancing using IoT approach

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mayuri Diwakar Kulkarni ◽  
Khalid Alfatmi ◽  
Nikhil Sunil Deshmukh
Keyword(s):  
World Health Organization ◽  
Target Object ◽  
World Health ◽  
Government Agencies ◽  
Technical Solution ◽  
Social Distancing ◽  
The People ◽  
The Social ◽  
The World ◽  
Health Organization

AbstractIn the coronavirus outbreak pandemic by COVID-19, the World Health Organization (WHO) has been issuing several guidelines through all government agencies. In line with those guidelines, social distancing in the population has been a major prevention practice, compelled by all government agencies worldwide. Despite strong recommendations to maintain at least one-and-a-half-meter distance between the persons, the guideline is not scrupulously followed. To overcome this situation, an IoT-based technical solution is proposed through this paper. PIR sensor is used for the detection of a target in the vicinity (1.5 m). Upon violation of social distancing norms, the system will trigger an audio alarm after the detection of the target object. The research paper model is prepared by considering the needs of the people. Many researchers are focusing on tracking affected persons, but few are focusing on the social distancing preventive. The suggested portable device will always notify the person who is violating the norm of 1.5 m. The proposed device will minimize the possibility of transmission and reduce the infection rate of COVID-19. The device uses a PIR sensor depending upon the applicability area of the human being.

scholarly journals The Role of Social Networks During the COVID-19 Lockdown: Real-Life Social Distancing Vs Virtual Interactions

2021 ◽  
Vol 16 (5) ◽  
pp. 133
Author(s):  
Donata Tania Vergura ◽  
Beatrice Luceri ◽  
Cristina Zerbini
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Online Survey ◽  
Real Life ◽  
Strong Impact ◽  
Emotional Instability ◽  
Social Distancing ◽  
The Social ◽  
The World

Online social networks have become one of the most widely used sources of information in the world and also an important part of our daily life. A huge boost to their spreading came with the outbreak of the COVID-19 pandemic. As social distancing and lockdown orders due to COVID-19 health emergency grew more pervasive, individuals began to spend more time online and to use social networks (SNs) to keep up to date regarding the spread of pandemic and also to maintain communication with friends and family and reduce isolation. Given these evidences, the present study aims to investigate the social supporting role of SNs during the pandemic emergency. Specifically, it intends to analyze (a) the use of SNs as a means of interaction in the face of the social containment imposed by the COVID-19 spreading, and (b) the factors (homophily, trust, loneliness, and emotional instability) that affect such use. An online survey with a sample of 194 Italian people was conducted. Structural equation modelling was used to estimate the model proposed. Results revealed that sense of belonging to SNs had a strong impact on search for social support and is, in turn, positively influenced by trust in SNs and homophily. Emotional instability also increased the search for social support. The study contributes both theoretically and empirically to the understanding of the role of SNs in influencing individual behavior. As the use of SNs continues to spread around the world, understanding why consumers rely in SNs and what gratifications they receive from them is undoubtedly of interest for both academics and practitioners.

scholarly journals Social Distancing Detection Using Open CV and Yolo Object Detector

2021 ◽  
Vol 7 (01) ◽  
pp. 93-95
Author(s):  
Akanksha Shukla, IshaniGarkoti, Amisha Mittal Binit Choudhary and Dr. Preety Verma Dhaka
Keyword(s):  
Social Distance ◽  
Video Stream ◽  
Public Places ◽  
Social Distancing ◽  
Human Contact ◽  
The People ◽  
The Social ◽  
The World ◽  
Entire World

Lately, social distancing has become a trending term, more because of the COVID-19 pandemic that has affected the entire world causing more than 1 million deaths. The world we lived in a few months prior is completely different from what it is now.The lack of any antidotes and the absence of immunity, capable of fighting off the virus has made humans more undefended. Hence, Social Distancing is the only best option for us to protect ourselves from diseases, not limited to COVID-19, that may be transmitted through human contact. Social distancing is a technique that may be used to reduce the rate of new cases during a pandemic outbreak. This publication is focusing on surveillance of public places and detecting whether the people are maintaining social distancing or not. It explains the development of technology through the use of AI-based procedures to detect whether the social distancing norm is followed or not, in any public video stream. The software embedded can distinguish between a person maintaining social distance (marked green) and a person who is not (marked red) and will also keep a count of incidents where social distancing was not followed.

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