REAL TIME MONITORING OF PUBLIC PLACES TO PROTECT PEOPLE FROM A SUSPECTED COVID-19 PATIENT

Abstract

Our project is to develop the face detector model using external camera for detecting whether person is quarantine or not who recently travelled from abroad can be implemented to local travellers and then after detecting through facial/face recognition to generate an alert that will be send to the person which is not quarantine for 14 days having a travel history using GSM module. The face detection system is one ofthe most useful and successful application of AI and image processing that quickly significant attention worldwide. The research in face detection, face recognition, automation has been conducted from 1960s. Authentication can be easily done from a distance without the knowledge ofthe person being scanned. Accurate and Real Time Related Statistics: Face recognition system essentially requires the presence of the user. So, the possibility of proxy punching becomes zero. It is easy to add and identify visitors into a Face recognition system in the consolidated area. So, it provides comparatively more security and makes it easy to manage the number ofregistered entries.