Smart Break-in-Prevention System With Face Recognition

When it comes to real-world problems, machine learning is always a helping hand. By using a machine that has less probability of making errors, in the places where we need maximum accuracy, we can avoid tragic events to the maximum. One of such tragic events is losing our assets. We humans cannot keep monitoring our assets all day. So in this situation, we seek the help of technology. Developing a smart security camera with an inbuilt face facility and an alarming system can reduce the risk of burglary at shops and households. Most shops and houses are under lock during the night time and in this scenario, the shop or the household is prone to theft. Finding and punishing the thieves with the help of recorded CCTV footage after the theft has occurred is a less efficient way of dealing with this crime. The system that we have developed can detect and recognise human faces and can give an alert to the user when an unrecognized face enters the premises of the house/shop when it is under lock. In addition to this, the system also performs the task of a normal CCTV camera, i.e., it records everything it sees. Hence from now, a CCTV camera is not just evidence against a burglary but a powerful tool to prevent it.