Design of an Image Processing Based Embedded Smart Car Security System

The main aim of this paper is to offer an advance security system in automotive , in which consists of a face detection subsystem, a GPS (Global Positioning System) module, a GSM (Global System for Mobile Communications) module and a control platform. The face detection subsystem bases on optimized PCA algorithm and can detect faces in cars during the period in which anybody should be in the car, and the image will be sent through MMS. The other modules transmit necessary information to users and help to keep eyes on cars all the time, even when the car is lost. So now owner can obtain the image of the thief in his mobile as well as he can trace the location through GPS. The location of the car as well as its speed can be displayed to the owner through SMS. So by using this system, owner can identify the thief image as well as the location of the car. This system prototype is built on the base of one embedded platform in which one SoC named “SEP4020” (works at 100MHz) controls all the processes. Experimental results illuminate the validity of this car security system.