Smart Mirror using Raspberry Pi as a Security and Vigilance System

Abstract

The present generation devices are built with smart capabilities. The intelligence is embedded in them to act wise in deployed environment. Mirrors are basically used in home for the purpose of grooming up or getting ready for the day. The same mirrors can be made to behave Smart to provide Security and Vigilance in deployed environment. Smart mirror is a system that not only works as a normal mirror but also provides Security against intrusion inside the home. The proposed system is designed using Raspberry Pi, Camera, Raspberry Pi compatible touch screen and microphone as hardware components and Python for programming. The proposed system can accept 3 modes of input commands namely Voice, Touch and Mobile commands. The Smart mirror can be used as a security system against the Intrusion in home. The Yolo Technique with OpenCV for object detection is used for detection of Intrusion of Human. The Yolo (You Only Look Once) is a Machine Learning concept for the detection of objects. The Yolo is an optimized technique as it looks image only once as compared to other image processing techniques, hence work faster. The Video is converted to frames and the frames are given as input to the Raspberry Pi. The Python programming is used along-with the Yolo technique with OpenCV to detect objects. As soon as the intrusion is confirmed, the administrator of the Smart Mirror will be sent an alert E-mail along-with the photo of an intruder and the details are stored in the storage device. The voice and Touch screen commands can be used whenever an administrator/owner is in front of the mirror. The mobile based controls can be used when the administrator/owner of the mirror is away from the mirror. The basic theme of the proposed model is that, to make use of household devices for providing security.