Fuzzy Logic Based Contactless Risk Dedication and Prevention System to prevent COVID-19 Suspect at Entrance

Abstract

COVID-19 is a disease caused by a virus that can spread from person to person. The symptoms can vary from mild to severe illness for COVID-19. Body temperature plays an important role to detect COVID-19 symptoms. This article proposes Fuzzy Logic Based contactless risk dedication and prevention system at entrance. The proposed system measures the contactless body temperature of the individual at the entrance. Fuzzy logic takes the decision to allow the person inside at the entrance. Based on a fuzzy decision system open or close the gate. The system is automatic and does not need any human operator that helps to prevent further pandemic.