Face recognition based home security system

Abstract

With the help of recent technological advancement the world is moving towards an era of advance security systems. For every single purpose or system the main concern is safety. As software based security system creates a good vibe in the security industry because of its robustness so people are more interested to use it in different places like office or even at home. For ensuring an efficient security system and a solid surveillance camera vision has been used vastly nowadays. In this research an image processing based low cost home security system has been approached for home safety and surveillance. Different image processing algorithms based on python, deep learning, Convolutional Neural Networks has been used for better output. Algorithm based on Haar Cascade Classifiers using open CV gives the desired results for low cost components. An IOT based mobile application which is also a part of the total system helps the user to ensure a notification based surveillance system when the user is away from home. Different experimental analysis based on different data sets justify the efficiency as well as sustainability of the total system for real life scenario.