Smart Home Security Using IoT and Face Recognition

Abstract

The Internet of Things(IoT) has made it possible to set up a smart home security through which you can decide who can enter your home using your smartphone and web application. It's also made it simple and relatively affordable to monitor your home anytime and anywhere. the key issue in a traditional home security system is, it is easily breakable and quite outdated. This in turns, results in the robbery and also needs installation of the costly security system. To tackle this problem, we propose a smart home security system, which is IoT as well as face recognition enabled. In our system, the web camera is used which is connected to the raspberry pi accompanied by sensors such as Passive Infrared(Pir) and Ultrasonic sensor. On motion detection camera captures an image of the person in front of the door then real-time face recognition is done using local binary pattern (LBP). If person's image matches with one of the home members then the door will unlock, else doorbell will ring. if an intruder tries to break door then an alarm will be raised at the same time SMS and Email containing image of the intruder will be sent to the homeowner. Face recognition works well in multi-face recognition and stranger identification, which meet the requirement of home security. This system is battery powered in case of power failure. Furthermore, the house owner can keep track of activity happening in the house using android and web application connected to the raspberry pi using the internet. Using Android application or web application owner can also add new person's faces into the databases eg., guests.