International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 05 | May 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
Automatic covid screening and deep learning Kharde Nalini Balasaheb1, Mane Sanket Nivrutti2, Kadnar Reshma Raghu3, Pansare Shubham Balasaheb4, Andre Suvarna5 1,2,3,4
Student, Dept. of Electronic and Telecommunication Engineering, Jaihind College of Engineering, Kuran 5Professor, Dept. of Electronics and Telecommunications, Jaihind College of Engineering, Kuran -----------------------------------------------------------------------***-------------------------------------------------------------------------AbstractThe spread of COVID-19 has been taken on pandemic magnitude and has already spread over 200 countries in 2 years. In this time of emergency of COVID-19, especially when there is still a need to follow the developed vaccines are not available to all the developing countries in the first phase of vaccination distribution, the virus is spreading rapidly through direct or indirect contacts. The WHO provide the standard recommendations for preventing the spread of covid19 and the importance of face masks for the protection from the Covid virus. That is why this research aims to design and develop a low-cost, rapid scalable and effective virus spread control and screening system to minimize minimize the chance and risk of spread of COVID-19. We proposed an IOT-based Smart Screening and Disinfection Walkthrough Gate(SSDWG) for all public place entrance. The SSDWG is designed to do rapid screening of virus, including temperature measuring using a temperature sensor and storing the record of the suspected individual for further control of covid. Our proposed IoT-based Screening system also implemented Real-time deep learning model for face mask detection and classification. We also implemented classification to classify the type of face mask worn by the individuals, either N-95 or surgical masks. We also compared the results of our proposed system with state-of-the-art methods and We highly suggested that our system could be used to prevent the Spread of local transmission and reduce the chance of human carriers of COVID-19.
I. INTRODUCTION The primary healthcare challenge in covid-19 is the infections virus that spreads rapidly among humans by their close contacts with suspects of COVID-19 positive. Covid-19 is now a pandemic affecting all countries around the world. Symptoms of covid-19 can appear from (2-14) days after exposure to the virus. Fever, dry cough, sore throat, headache, muscles or body aches, congestion or runny nose, nausea or vomiting and sleepiness are the most significant common signs of COVID-19. Still in several cases difficulty in breathing leads to death. Something a few infected individuals have minor or no symptoms; those are asymptomatic carriers. Asymptomatic. In short-range transmission the virus and spread from human to human by droplets from the noise or mouth while coughing and sneezing ban infected person of COVID-19. These droplets can travel 1.8meter. These droplets stay on things and then poignant their eyes, nose, mouth. According to the primary source of COVID-19 Spread is closer contact from person-to-person. Asymptomatic people are more vulnerable than those people who have symptoms of COVID-19. But the chances of spreading this virus animal to people are low. They also have evidence of spreading the virus from people to pets, spray infected COVID-19 from people who have close contact with their pets, to disinfect the COVID-19, china uses drones to spray disinfecting the liquid around public areas and vehicles wandering in infected zones. IoT applications are used in different systems and technical fields, such as smart cities, smart security system and smart grids. This model uses different IoT sensors, like heartbeat sensors to measure heartbeat rate to monitor the patients and store the data in a database, where these raw data have further analyzed the patient.
II. LITERATURE SURVEY: Paper Name: Facial mask detection semantic segmentation. Author Name: Toshanlal meenpal, Amit verma, Ashitosh bal, Akrishnan Year: 2019
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