A novel face recognition technology to enhance health and safety measures in hospitals using SBC in pandemic prone areas

ABSTRACT

In current scenario, health and safety of the hospital employees, health workers and patients fall on the highest priority as they are prone to maximum exposure of covid-19 attack. As technologists an innovative idea is put forth along with a prototype to enhance the safety parameters. This paper describes a simple and economic hardware implementation of face recognition using raspberry Pi. Raspberry Pi is an efficient single board unit capable of communicating with the cloud. The system is made user friendly and more operative by designing a webpage, which records all the information from the camera, sensors and patient log in details and can be accessed by the hospital authorities. The system is programmed using Python language. The results reveal that system can be used for all the real time applications which demands for authenticated entry.