Design and implementation of real time car theft detection in FPGA

Abstract

Face detection is a technique that determines the locations and sizes of human face images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. This paper presents a hardware architecture for face detection system based on Viola Jones algorithm using Haar features. The proposed algorithm is used in real time car theft detection. The architecture for face detection is designed using Verilog HDL and implemented in Xilinx Virtex-5 ML505 FPGA. Its performance has been measured and compared with an equivalent software implementation.