ABSTRACT
Since 2019 the world facing a critical situation known as pandemic and many suggested to go for lockdown. But that didn't work as the period was not ending and still continued. The vaccination could be the only practical solution for ending this pandemic situation. So it is essential that the detailed analysis of vaccination worldwide and it is very important than concentrating on the restrictions and creating awareness by advertising the scenario to the public. This paper analyzes vaccination status and suggests the vaccination distribution methods to be followed to end the lockdown soon by using machine learning techniques. Based on the proposed prophet algorithm, it is predicted that the people vaccinated per 100 would be increased to 97.12% with an accuracy of 98.51% and further lockdowns will not be necessary if the vaccination rate maintained as of now. © 2021 IEEE.
ABSTRACT
In this paper, we are proposing a contactless temperature measuring and attendance monitoring system because of the pandemic COVID-19. This design is developed using Node MCU, MLX90614 Infrared Thermometer, RFID Reader, and Ultrasonic Sensor. It measures body temperature with an infrared temperature sensor without any physical contact. An RFID card reader is used for scanning the identity card. The ID number and the temperature of students are uploaded into the webpage. This webpage can be monitored over the internet. The details such as Entry time, ID number, No. of students and temperature measurements are stored in the server and displayed in webpage. An Ultrasonic Sensor is used to measure the distance between the sensor and the person. The temperature sensor can measure the temperature when the distance between the sensor and person is around 10 cm for better accuracy. This system is essential in this pandemic situation to avoid the infections.