International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022
p-ISSN: 2395-0072
www.irjet.net
Real Time Mask Detection Architecture for COVID Prevention Vinutha K1, Kumari Aditi2, Mannu Priya3, Adity Singh4, Kruthika5 1Assistant professor, Dept.
of Computer Science & Engineering, ACS College of Engineering, Karnataka, India ACS College of Engineering, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------2345UG student, Dept. of Computer Science & Engineering,
Abstract - The outbreak of coronavirus disease which was
classroom scenarios. Also Huawei had used IOT to overcome issue like Wi-Fi fiber, where it prevents the info or any information regarding the premises leaving the campus. Even within the medical department, IOT is named as IOMT; it's contributed to several healthcare programs from monitoring the sensors. Also, Deep Learning has high computational system that has implemented within the real time industry, the reduced cost and fewer power appliances like video analyzing of camera sensing device isn't handles directly on the system. Thus the video data can be transferred to cloud server program for examining by use of cloud computing, which makes the degree of examination within the short time. As the real application has very high demand for real-time based performance. Moreover within the healthcare department, there's an outsized amount of knowledge generated by the equipment, thus the video abilities examines through the cloud computing, which results for delay in identification. Thus, deep learning implements the sting computing with higher computational raised and makes the network less delay by data transmission. With the assistance of edge computing it is possible to improve the efficiency of many task performed within the system. Because of the restriction of single edge system, combined to require use of storage unit.
started in the year 2019. Itreminds that we want to require few safeguard measures against virus. One in all the effective non pharmaceutical medical intervention (NPI is that the practice of taking precaution but getting vaccinated and taking medicine is wearing mask and social distancing. This tells us that what proportion important is that we want the Real- Time Mask detection which helps in preventing the spread of the coronavirus disease. This model helps in healthcare department to observe the activity of the person by sensing a difference between wearing mask and someone not wearing mask in order that the infected person should be identified. The model relies on deep learning model where it focuses on mask identification which will classify masked and unmasked person. The model has three phases in it where it focuses on the visual representation, face detection for wearing mask or not and mask identification This whole model is examined on the premise of automatic real time video information which detects that weather the personwearing mask or not.
Key Words:
Machine Learning, Deep Learning, Convolutional Neural Network, Image Detection, COVID-19 Prevention.
1. INTRODUCTION
2. LITERATURE SURVEY
According to the WHO, the Coronavirus disease has caused severe respiratory syndrome which has risen to a worldwide epidemic. The sources report that on 3rd of July 2020, there were quite 100 million positive cases of Covid-19, and 500 thousand deaths. Hence, the growing numbers still remind us of the requirement to take precautions. If precautions aren't taken, it can cause higher rate of infections. Therefore, it's important to developing rapidly, the IOT measures the information collecting, sensing, managing, gathering and detecting and these became simpler. Thus, IOT has brought recovery changers to the life on people and made things easy. Because of the group, many medical precautions are taken place for instance, sterilizations, social distancing and sanitizing regularly. China is the most populated country there's interaction among people are mostly process of daily travel and or their livelihood works. Thus, it leads to prevention to prevent the spread of covid-19. Due to the pandemic online interview classroom have taken place. But there have been many difficulties with bandwidth of wide coverage and transmission. Alibaba cloud used IOT and mobile- edge computing (MEC) and provided network which is closer to the terminal, has improved the outline interactive
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2.1 COVID-19 Rapid Growth Protective measures are rapidly growing throughout world due to the novel coronavirus disease (COVID-19), which is a potentially lethal illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In December 2019, people exposed to a wet animal market in Wuhan City, China, were initially identified as a major source of the SARS-CoV-2 infection. It was proposed that the infection is certainly zoonotic in origin and spreads to humans through an undetermined middleman. As of (22/05/2020), the WHO has received reports of about 4,995,996 40 confirmed cases, resulting in 327,821 fatalities. Infection with SARS-CoV-2 is spread through direct contact with infected people's droplets or through inhalation. This could dwell for 2 to 14 hours or longer. SARS-CoV-2 is getting more attention than it. 2.2 IHR Ground Crossing It is primarily directed at a wide range of audiences, including national International Health Regulations (IHR) focal points,
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