Real time monitoring system: Implementation of face detection and recognition algorithm

Abstract

Face detection and recognition is used in biometric applications to identify the faces in real time. It is compare with the stored database. The objective of this paper is to develop a simulation model. To create a real time hardware monitoring system. It also based on an FPGA platform. The canny edge detection algorithm is used to detect the face edges in real time. The MATLAB used for simulation. The hardware platform can be developed based on altera DE1-SoC development board. An Personal computer monitor and 5 mega pixel TRDB-D5M CMOS camera also used for hardware setup. Verilog HDL used for the programming. The hardware implementation was also based on the Quartus Prime Lite Edison. The canny edge detection algorithm also used here. The alarm system depends on end result of the system.