IoT based Visitor Identification System

Face recognition is a key element of the sole sense and purpose of security and surveillance in today’s environment. Our goal is to see if a Raspberry Pi-based face recognition system can be implemented using traditional face detection. The goal of this work is to use and implement face recognition to the point where it can effectively replace the need for passwords and RFID Cards for access. This research study intends to develop a cost-effective, ergonomic, and simple to use system by utilizing the Raspberry Pi kit, which provides excellent performance and a solely output-based outcome. The design and implementation of Internet of Things-based security surveillance systems in buildings utilizing a Raspberry Pi2 single-board computer with Wi-Fi network access are described in this paper. When the controller detects a face, it activates the camera to capture the incident and delivers notifications to the user by embedding a live photo of the event on a messaging app that can be viewed on an Android phone. This project makes use of the HAAR algorithm for optimized results. This work targets patients suffering from long-term memory loss or Alzheimer’s and elderly people who cannot afford to have a caretaker.