Real-Time Surveillance System for Detection of Social Distancing

Real-Time Surveillance System for Detection of Social Distancing

Kanojia Sindhuben Babulal, Amit Kumar Das, Pushpendra Kumar, Dharmendra Singh Rajput, Afroj Alam, Ahmed J. Obaid
Copyright: © 2022 |Pages: 13
DOI: 10.4018/IJEHMC.309930
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Abstract

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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Introduction

The aftermath that COVID-19 gave to the human race is going to stay forever. This manner of life has been forced upon us by covid-19, the fastest-growing pandemic the world has ever seen. According to the World Health Organization (WHO), covid-19 has infected approximately 2500 million individuals worldwide and killed over 4.5 million people. More than 221 countries and territories have been affected by the fatal virus thus far. The main cause of the problem is that covid-19 transmits from individual to individual via contact or being in near vicinity to an inflamed person. Given how densely populated some of the places are now, this has been a major undertaking. One of the important manners to save you the unfold of covid-19 is social distancing. Social Distancing oneself from others has become an important practice all around the world, transcending languages and cultures.

Eventually the virus could become a much milder illness but for now vaccination and surveillance, physical distancing and masking are critical and important to end this pandemic phase. Also, there are many unanswered scientific questions like how long vaccinations would be effective, how long this vaccination will be effective for individual with chronic diseases etc. Also, still 100% vaccination is not completed in many developed countries and still accessibility and availability are an issue to many under developed countries due to various reasons. So ultimately, we want to maintain a situation in which the damage is less severe to the mankind. For now, monitoring social distancing is the best option and we have to make sure that this happens on global scale.

So, in order to answer this issue about covid-19 infections, there is need to develop a system, in which everyone is within real time, and returns a bounding container that goes red if the distance between two persons is extremely vulnerable. Government will utilize this to track people's movements.

Figure 1.

Social distancing

IJEHMC.309930.f01

Realtime surveillance system is an application which provides realtime social distancing updates following by the people in an area. It is based on object detection using YOLO and SSD model, Euclidean algorithm for finding distance between the objects, persist realtime data in cloud(D. S. Rajput, Basha, et al., 2021; D. S. Rajput, Somula, & Poluru, 2021) and different technology stack for implementation of this application. This application helps the people, markets and government to get updates about the social distancing violation.

Social distancing is one of the key protection from being affected by COVID-19 (Corona Virus). In nowadays there is so many vaccination is launched by different Healthcare Organization in different countries but they are not going to provide 100% protection from corona virus (according to WHO), every health organization has announced that vaccination provides the capability to human being to fight against corona virus from being affected. Still healthcare(Kumar Rai, Sharma, Kumar, & Goyal, 2021; Rai & Srivastava, 2014, 2016, 2017) unit continuously doing research on this disease and trying to provide a complete solution for this disease but till the time people need to follow the social distancing to avoid the spread among the people.

In so many areas we can see that after knowing the spread effects of the corona virus among the people while they are moving in a crowd area or in market after all people are not following social distancing. In this technology era we have several technology involved in our daily life in different cases so to provide the protection to the people an idea came which can help the people as well as several organization to avoid the spread of corona virus and it can be said at least we can detect those people who are not following the social distancing when they are moving outside.

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