Development of IOT-based Smart Anti – Theft Latch

Abstract

In our day to day lives, security is of utmost concern. Everyone wants to be as secured as possible. This paper develops an Internet of Things (IoT)-based smart security system and supports the concept of a "IOT close to life and easy to use”. One of the many useful applications of IoT is home security; among other things, we're leveraging it to build affordable home security systems. The IoT is a network of physically connected objects that can exchange data and communicate with one another without the need for human intervention. The simplicity of setup, low cost, and minimal maintenance are some of this system's key benefits. This system is executed with the help of Raspberry Pi 3B. Face recognition system used determines if the individual is lively enough to receive authorization. If an unauthorized access is detected then the buzzer will be triggered and an alert notification will be sent on an app which is designed for the owner which will also include a photo detected by the camera and with an option to reset the buzzer. This system comprises of dual authentication that is Radio Frequency Identification (RFID) key and a face recognition system. This approach is able to protect the homes from intrusions by continuous detection of the suspicious actions using soft computing, that is, Convolutional Neural Network (CNN) algorithm for face recognition.