Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19

O Karaman, A Alhudhaif, K Polat - Applied Soft Computing, 2021 - Elsevier
In this work, an artificial intelligence network-based smart camera system prototype, which
tracks social distance using a bird's-eye perspective, has been developed.“MobileNet SSD …

Monitoring social distancing using artificial intelligence for fighting COVID-19 virus spread

H Alyami, W Alosaimi, M Krichen… - International Journal of …, 2021 - igi-global.com
To restrict COVID-19, individuals must remain two meters away from one another in public
since public health authorities find this a healthy distance. In this way, the incidence of …

Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic

I Ahmed, M Ahmad, G Jeon - Sustainable cities and society, 2021 - Elsevier
The recent outbreak of the COVID-19 affected millions of people worldwide, yet the rate of
infected people is increasing. In order to cope with the global pandemic situation and …

Real-time maintaining of social distance in covid-19 environment using image processing and big data

S Melenli, A Topkaya - Trends in Data Engineering Methods for Intelligent …, 2021 - Springer
Recent research in computer vision is increasingly focusing on developing systems to
understand people's appearance, movements and activities, provide advanced interfaces for …

[PDF][PDF] Monitoring social distancing for Covid-19 using OpenCV and deep learning

R Visal, A Theurkar, B Shukla - International Research Journal of …, 2020 - academia.edu
Recently, the outbreak of Coronavirus Disease (COVID-19) has spread rapidly across the
world and thus social distancing has become one of mandatory preventive measures to …

Social distance identification using optimized faster region-based convolutional neural network

K Suresh, S Bhuvan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
In 2019, an aggressive coronavirus disease (COVID-19) has resulted in large-scale
epidemic with its deadly outbreak in more than 190 countries and nearly 114 million …

A social distance monitoring system to ensure social distancing in public areas

P Shukla, R Kundu, A Arivarasi… - 2021 International …, 2021 - ieeexplore.ieee.org
Social distancing measures are important to reduce Covid spread. In order to break the
chain of spread, social distancing is strictly followed as a norm. This paper demonstrates a …

[HTML][HTML] An optimized deep learning approach for the prediction of social distance among individuals in public places during pandemic

SK Sahoo, G Palai, BR Altahan, SH Ahammad… - New Generation …, 2023 - Springer
Social distancing is considered as the most effective prevention techniques for combatting
pandemic like Covid-19. It is observed in several places where these norms and conditions …

Vision-based approach for automated social distance violators detection

A Gad, G ElBary, M Alkhedher… - … on Innovation and …, 2020 - ieeexplore.ieee.org
Social distancing is a necessary precaution measure taken in order to have more control
over the outbreak of infectious diseases such as COVID-19. Most of Social distancing …

A deep learning-based social distance monitoring framework for COVID-19

I Ahmed, M Ahmad, JJPC Rodrigues, G Jeon… - Sustainable cities and …, 2021 - Elsevier
The ongoing COVID-19 corona virus outbreak has caused a global disaster with its deadly
spreading. Due to the absence of effective remedial agents and the shortage of …