A Social Distance Monitoring System to ensure Social Distancing in Public Areas

Shukla, Prakhar; Kundu, Rahul; Arivarasi, A.; Alagiri, G; Shiney, O. Jeba

doi:10.1109/iccike51210.2021.9410745

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…Table 1 shows the accuracy of the IFRCNN model is 89% which is higher accuracy as compared to (Chaudhary, 2020), (Ahamad et al, 2020), (Shukla et al, 2021).…”

Section: Resultsmentioning

confidence: 92%

Real-Time Surveillance System for Detection of Social Distancing

Babulal

Das

Kumar

et al. 2022

International Journal of E-Health and Medical Communications

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As the corona virus can mutate and due to other scientific factor associated to it, experts believe that COVID-19 will remain with us for decades. Therefore, one has to keep social distancing measures. Accepting the pandemic situation, the paper presents a mechanism for detecting violations of social distancing using deep learning to estimate the distance between individuals to diminish the influence of COVID-19. The focus of this paper is to understand the effect of social distancing on the spread of COVID-19 by using YOLOv3 and Faster-RCNN and proposes IFRCNN (improved faster region – convolution neural network). The proposed method IFRCNN is checked on a live streaming video of pedestrians walking on the street. This paper keeps the live updates of the recorded video along with social distancing violation records on a location, so how many people in a location are maintaining social distancing. Updates will be stored in a cloud-based storage system and any organization or firm can get live updates of that location in their digital devices.

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“…Table 1 shows the accuracy of the IFRCNN model is 89% which is higher accuracy as compared to (Chaudhary, 2020), (Ahamad et al, 2020), (Shukla et al, 2021).…”

Section: Resultsmentioning

confidence: 92%

Real-Time Surveillance System for Detection of Social Distancing

Babulal

Das

Kumar

et al. 2022

International Journal of E-Health and Medical Communications

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“…As the importance of social distancing has been highlighted by the COVID-19 pandemic, software that uses AI and algorithms has been developed to monitor the spread of infectious diseases, eliminating constraints in terms of manpower and time and enabling rapid and efficient monitoring [ 8 , 18 ]. However, the use of personal or biometric information remains a controversial legal issue.…”

Section: Discussionmentioning

confidence: 99%

“…17.0 (StataCorp LLC). Based on a reference study that conducted a survey about COVID-19, statistical significance was set at p <0.05 [ 8 ].…”

Section: Methodsmentioning

confidence: 99%

Risk factors for transmission in a COVID-19 cluster infection in a high school in the Republic of Korea

Jeon¹,

Kang²,

Jeong³

et al. 2023

PHRP

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Objectives: This study aimed to examine the scale, characteristics, risk factors, and modes of transmission in a coronavirus disease 2019 (COVID-19) outbreak at a high school in Seoul, Republic of Korea.Methods: An epidemiological survey was conducted of 1,118 confirmed cases and close contacts from a COVID-19 outbreak at an educational facility starting on May 31, 2021. In-depth interviews, online questionnaires, flow evaluations, and CCTV analyses were used to devise infection prevention measures. Behavioral and spatial risk factors were identified, and statistical significance was tested.Results: Among 3rd-year students, there were 33 confirmed COVID-19 cases (9.6%). Students who used a study room in the annex building showed a statistically significant 4.3-fold elevation in their relative risk for infection compared to those who did not use the study room. Moreover, CCTV facial recognition analysis confirmed that 17.8% of 3rd-year students did not wear masks and had the lowest percentage of mask-wearers by grade. The air epidemiological survey conducted in the study room in the annex, which met the 3 criteria for a closed space, confirmed that there was only 10% natural ventilation due to the poor ventilation system.Conclusion: To prevent and manage the spread of COVID-19 in educational facilities, advance measures that consider the size, operation, and resources of each school are crucial. In addition, various survey methodologies should be used in future studies to quickly analyze a wider range of data that can inform an evidence-based quarantine response.

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“…The proposed model denotes better performance with a 97.84% (Mean Average Precision) score and the acquired (Mean Absolute Error) between measured and actual values of social distance. Shukla et al (2021) propose a system that is helpful in supervising public places like hospitals, malls, and ATMs for violations of social distancing. This study proposed a deep learning model which can be connected for coverage within some restricted distance.…”

Section: Machine Learning Models For Predicting Social Distancingmentioning

confidence: 99%

“…Though the study concluded that the usage of machine learning models reduced the morbidity rate, the developed Genetic Neural Network model needs more training towards feature extraction to identify the diseases in individuals to attain higher accuracy (>90%). Study by Shukla et al (2021) used the YOLO model with deep learning algorithm to identify the social distancing with parameters of violation like 6 feet between two people. The study concluded that, though the model was effective in identifying the distances, the drawback was the proposed system needs to be installed physically in the monitoring areas and it covers only the certain limited distance.…”

Section: Machine Learning Models For Predicting Social Distancingmentioning

confidence: 99%

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2023

AJTE

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ATINER is an independent and non-profit Association with a Mission to become a forum where Academics and Researchers from all over the world can meet in Athens, exchange ideas on their research and discuss future developments in their disciplines, as well as engage with professionals from other fields. Athens was chosen because of its long history of academic gatherings, which go back thousands of years to Plato's Academy and Aristotle's Lyceum. Both these historic places are within walking distance from ATINER's downtown offices. Since antiquity, Athens was an open city. In the words of Pericles, Athens"…is open to the world, we never expel a foreigner from learning or seeing". ("Pericles' Funeral Oration", in Thucydides, The History of the Peloponnesian War). It is ATINER's mission to revive the glory of Ancient Athens by inviting the World Academic Community to the city, to learn from each other in an environment of freedom and respect for other people's opinions and beliefs. After all, the free expression of one's opinion formed the basis for the development of democracy, and Athens was its cradle. As it turned out, the Golden Age of Athens was in fact, the Golden Age of the Western Civilization. Education and (Re)searching for the 'truth' are the pillars of any free (democratic) society. This is the reason why Education and Research are the two core words in ATINER's name.

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A Social Distance Monitoring System to ensure Social Distancing in Public Areas

Cited by 13 publications

References 7 publications

Real-Time Surveillance System for Detection of Social Distancing

Real-Time Surveillance System for Detection of Social Distancing

Risk factors for transmission in a COVID-19 cluster infection in a high school in the Republic of Korea

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