A Secured GUI based Flexible Automated System for Face Recognition and Suspicious Behaviour Prediction

Protection of each organization or campus is vital in recent times, as the crime rate in modern days is growing every day. Unauthorized entry of people will affect the secrecy of the data along with adverse economic effects. As the world is transforming towards a complicated technological style, computerized systems have been designed and implemented in many sectors. The rise in the crime rate necessitated the development of automated systems that can replace manual involvement which is tedious and time-consuming. However, these systems should be accurate unless of which the complete objective will go in vain. Much work has been carried out that makes use of biometric strategies and fingerprint-based for getting admission to structures. But these approaches have the constraints of getting mimicked or affecting the decision accuracy of decision making. In this pandemic situation, contactless design development is getting important. As the people are becoming negligible in following Covid precautions affecting the surrounding community, face mask detection systems are introduced that can yield a better solution. The current work proposes a novel system that serves the multiple functionalities of automated security with face recognition for attendance monitoring and secured entry as well as mask detection under Covid pandemic prevailing situations. The novelty of the current work is that it can also be used for identifying emotions and for automated attendance monitoring.