Kallam Narasimha Reddy, et. al. International Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 11, Issue 5, (Series-III) May 2021, pp. 28-32 www.ijera.com DOI: 10.9790/9622-1105032832 28 | Page IoT Based Intelligent Face Mask and Body Temperature Detection for COVID-19 Monitoring Kallam Narasimha Reddy 1 , Koppurothu Tarun 1 , Irfan Ahmad Pindoo *1 1 (Department of Electronics and Communication, Lovely Professional University, Phagwara, Punjab, India. 1 (Department of Electronics and Communication, Lovely Professional University, Phagwara, Punjab, India. *1 (Department of Electronics and Communication, Lovely Professional University, Phagwara, Punjab, India. ABSTRACT In this paper, we have come up with an innovative IoT – based solution to maximize COVID-19 safety covering relevant aspects: Face Mask Detection, temperature checking at an affordable cost. The Demand of face mask and checking of body temperature in public areas, led us to bring this system into existence. This system guides the user to find the body temperature without any effort and also restricts the person without face mask to keep the COVID-19 protocols strictly. The laptop camera in front captures the image of a person and stores the in the database for security purposes, the system also consists of a display that guides a user to enter the premises. Arduino Uno based temperature sensing subsystem uses infrared sensor, on the other hand detection of mask is verified by computer vision techniques on camera equipped Raspberry pi. Keywords - Arduino Uno, keras , LM35, Open cv, Python, Tensor Flow. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 01-05-2021 Date of Acceptance: 15-05-2021 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Since the last days of 2019, the diagnosis of a respiratory infection such as the COVID-19 virus caused by SARS-COV-2 also known as corona virus has impacted majority of the people’s health all over worldwide. The footprints of COVID-19 were identified in china, later it was quickly spread to the other countries in a little span of days. According to, as of March 31, 2021, the number of reported cases were 138,865,554 from which 2,986,118 lives were taken worldwide. Major symptoms of COVID-19 includes fever, fatigue, sore throat, nasal congestion, loss of taste and smell. In many cases, it is transmitted directly (from one person to another) through the droplets of respiratory. If a person is affected with COVID-19 virus then the symptoms will be shown between 14 and 27 days in most cases. In addition, even asymptomatic individuals (about 45% cases) can spread the disease making the condition worse. Therefore, the use of face masks and sanitation has shown good results when talking about reducing the spread of infections. However, we do not have proper medication and reliable vaccines available in the market .Due to these facts, many safety and security measures were taken by government in order to reduce the spread of COVID- 19, such as wearing mask, isolation, reducing citizen mobility within national and international travelers, often associated with preventing major public gathering events. Although the epidemic seemed to be weak in some areas, many safety rules are still in place due to the unstable situation. From work ethic to social relationships, sports and entertainment, corona virus is making many changes in our daily routine, habits and activities. In this project, we have designed a low cost IOT system to help organizations comply with the COVID -19 safety rules and instructions strictly to decrease the rate of spreading of COVID-19. Our main motto is to detect whether the person is wearing a mask and his body temperature is normal or not. No person will be allowed to enter without mask or with high body temperature. Only the person with both conditions passed will be sent inside the area. The system uses temperature sensor and a laptop connected to the raspberry pi system to control all operations. The laptop camera is used to detect the mask and sensor to check the body temperature. The raspberry analyzes the input sensor and determines whether the person should be allowed or not. II. LITERATURE REVIEW In the Era of 2020, the world has moved towards a great pandemic, in which every human was suffered due to pandemic situation and lockdown. After the lockdown as per the practical report[1], around 85% of respondents voted to resume their work places, but due to spread of COVID-19, this is practically impossible to unlock the lockdown without following proper guidelines RESEARCH ARTICLE OPEN ACCESS