Face Recognition and IoT Based Smart Lock Access System

Abstract

Smart security and remote monitoring have become vital and indispensable in recent times, and with the advent of new concepts like Internet of Things (IoT) and development of advanced authentication and security technologies, the need for smarter security systems has only been growing. The design and development of an intelligent web - based door lock control system using face recognition technology, for authentication, remote monitoring of visitors and remote control of s mart door lock has been reported in this paper. This system uses Haar-like features for face detection and Local Binary Pattern Histogram (LBPH) for face recognition. The system also includes a web- based remote accessing, an authentication module, and a bare-bones embedded IoT(Internet of Things) server, which transmits the live pictures of the visitors via email notification, and the owner can then remotely control the lock by responding to the email with predefined security codes to unlock the door. This system finds a wide application where the physical presence of the owner at all times is not possible, and where a remote authentication and control is desired. The system uses arduino controller to lock/unlock the door. Python language along with OpenCV packages and embedded C are used to program this system. The proposed system is designed by considering the physically challenged persons also.