COVID-19 Detection System Using Image Processing and Biomedical

In this work the design of implementation of an image processing based physical safety and health monitoring system for covid-19 pandemic. Which can support to know the physical health in the time of coronavirus using an Arduino mega 2560 microcontroller board is based on the Atmel AT mega 2560 8-bit microcontroller by using RFID EM 18 and spo2 sensor. The sensors is sense the human body?s vital signs. That is it measured the pulse oxygen level in your blood, body temperature and heart beat rate based on the way the light passes through your finger and delivers the data to the device screen attach and RFID it is one of the method of automatic identification and data capture. In this system we design this disinfection chamber known as personal sanitization enclosure is capable of the disinfecting person. Then face detection in image processing and computer vision. A binary phase classifier which can detect any face present in frame irrespective of its alignments. Represent this method to generate accurate face segmentation mask from any arbitrary size input image. The purpose of this model is to provide infection control through sanitizer. And facial mask detection by detecting body temperature and pulse oxygen level with the help of spo2 sensor MAX30100.