The Development Face Recognition System in Home Security System

Abstract

In this research, I had developed a Face Recognition System to choose the best security system develop by Raspberry Pi. Face Recognition is obtaining more and more fashionable and most people are already misusing it while not even realizing it. Projected during this project is an embedded face recognition device that supported the single-board Raspberry Pi. Face recognition system uses the Haar feature- based cascade classifier for face detection and face localization. Haar feature-based cascade options are digital image features employed in visual perception. Face options are extracted exploitation weighted native Binary Pattern algorithmic program. Human identification systems are needed for surveillance, monitoring, and biometric applications in real time. In Malaysia, there are numerous instances of burglary. Since last year, there have been a total of 13,567 burglary instances. Most of these incidents occur regularly as a result of a poor home security system. When they just use a key and padlock to secure the house.