A review of the prevalent ICT techniques used for COVID-19 SOP violation detection

Ikram, Talha; Saeed, Abdullah; Ayn, NoorUl; Tahir, Muhammad; Mumtaz, Rafia

doi:10.1109/honet50430.2020.9322821

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…The virus is transferred through the mouth or nose into little liquid particles when an infected person coughs, sneezes, speaks, sings, or breathes. When infectious particles from the air are breathed close together (also known as short-distance aerosols or short distance air transmissions) or come into direct contact with the eyes, nose, or mouth, another person can get infected (Drop dispersion) [15]. Use a hand sanitizer with at least 60 Percent alcohol if soap and water aren't accessible.…”

Section: Wash Hands With Soap For 20 Seconds Regularlymentioning

confidence: 99%

Real-Time face mask Surveillance System for the Pandemic of Covid-19

Iqbal

2024

Preprint

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The disease was first discovered in Wuhan City, Hubei Province, the People’s Republic of China in late 2019, and rapidly grow to many countries around the world in early 2020, steadily turning into a global extensive pandemic. More than 222 million confirmed cases have been reported in different countries and regions around the world, and more than 4.6 million have died, which is one of the large-scale epidemics in human history . The coronavirus spreads through small droplets during the discussion, coughing, sneezing, etc. In poorly and closed ventilated locations a higher risk of transmission rate However, wearing a face mask that prevents the transmission of droplets in the air. But the continuous inspection of preventive measures both inside and outside the building/offices to prevent the growth of COVID-19 is a major challenging task. Therefore, in this research work, we focused on implementing a Face Mask Detection model that is relying on the related technologies of machine vision, we adopted three different well-known and the most advanced end-to-end target detection algorithm named CNN, VGG16, and -YOLOv5 to realize the detection and recognition of whether the face is wearing a mask. In terms of data set collection, we use the face mask opensource data set. After the actual effect test, we found the accuracy, error rate, recall rate, precision rate, and F1 of the Yolov5 algorithm model have reached a high level. This solution tracks the people with or without masks in a real-time scenario and highlighted the person with a red rectangle box in the case of violation. With the help of this 24/7, either inside or outside the organization continuously monitoring is possible and it has a great impact to identify the violator and ensure the safety of every individual.

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Section: Wash Hands With Soap For 20 Seconds Regularlymentioning

confidence: 99%

Real-Time face mask Surveillance System for the Pandemic of Covid-19

Iqbal

2024

Preprint

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“…Deep learning-based techniques were analyzed in a survey performed by Ikram et al [20], which are classical techniques that can be used to detect COVID-19 Standard Operating Procedures (SOP), such as wearing masks or social distancing, were explored.…”

Section: Background and Related Workmentioning

confidence: 99%

Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

Leite

Albuquerque

Pinheiro

2021

IJERPH

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With the growing concern about the spread of new respiratory infectious diseases, several studies involving the application of technology in the prevention of these diseases have been carried out. Among these studies, it is worth highlighting the importance of those focused on the primary forms of prevention, such as social distancing, mask usage, quarantine, among others. This importance arises because, from the emergence of a new disease to the production of immunizers, preventive actions must be taken to reduce contamination and fatalities rates. Despite the considerable number of studies, no records of works aimed at the identification, registration, selection, and rigorous analysis and synthesis of the literature were found. For this purpose, this paper presents a systematic review of the literature on the application of technological solutions in the primary ways of respiratory infectious diseases transmission prevention. From the 1139 initially retrieved, 219 papers were selected for data extraction, analysis, and synthesis according to predefined inclusion and exclusion criteria. Results enabled the identification of a general categorization of application domains, as well as mapping of the adopted support mechanisms. Findings showed a greater trend in studies related to pandemic planning and, among the support mechanisms adopted, data and mathematical application-related solutions received greater attention. Topics for further research and improvement were also identified such as the need for a better description of data analysis and evidence.

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