Robust Home Alone Security System Using PIR Sensor and Face Recognition

CCTV-based video monitoring technology is one of the fastest growing security technologies markets. The existing systems are, however, still not in a position to be used prevent crime. For public safety purposes, large networks cameras are increasingly deployed places like Residential Buildings, College Campus, offices, airports, railway stations, and shopping malls. Such primarily dependent on human observers therefore limited over long periods by factors such as exhaustion monitoring. In order overcome this constraint, "intelligent" required, which can highlight critical data remove normal conditions that hazard. We propose model utilizing machine learning techniques build these smart systems. This research aims create an application real time, necessary for labs, work or homes where detection Recognition will done