An EXTENDABLE FRAMEWORK FOR EMBEDDED SMART CAR SECURITY SYSTEM PROJECT TEAM : P.K.AHRTHEE ( ) P.KANAKESWARI ( ) S.KEERTHANA ( ) K.MAHALAKSHMY ( ) GUIDE: Mr.A.SHANKAR

Agenda Objective Obtainable System Projected System Block Diagram Block Definition Applications Merits Conclusion References

Objective To implement image-recognition techniques that can provide the important functions required by advanced intelligent Car Security, to avoid vehicle theft and protect the usage of unauthenticated users.

Obtainable system No information to the Owner if Car get Lost Traditional car security systems rely on many sensors and cost a lot Physical Key. Alarm System

Proposed System Preach to the owner if some one tries to stolen Automated functions through image processing Security maintenance by behavior recognition Effective mobile communication for entire process GPS module obtains the precise locality by parsing received GPS signal

Phases Phase-1: Module 1: Data collection Module 2: Image recognition Phase-2: Module 1:GSM Module Module 2:GPS Module

Block Diagram Power Supply Microcontroller Driver Ignition Control Unit RS232 GPS Receiver GSM Modem MMS

Block Definition It consists of PC memory unit it stores the different driver image. FDS (face detection subsystem) is used to detect the face of the driver and compare it with the predefined image If the image doesn’t match then the information is send to the owner through MMS Owner can trace the location through GPS This system owner can identify the theft image as well as the location of the car.

Hardware Components Microcontroller Power supply Keypad section GSM module Camera Ignition unit | Driver unit

Software Tools Keil C cross compiler IDE Flash magic programmer tool Orcad hardware design tool Visual basic 6.0 Matlab7.5 Languages: o Embedded C o Visual Basic

Applications Security applications Image processing applications Banking applications

Merits Flexibility and portable system Less Cost and compact Effective security system Alert system Optimized System

References BioID Face Database Zhang Yu, “Research on High Level Model and Performance Estimation” Southeast University PHD thesis, Teresko, J., "Winning with wireless," Industry Week, 252(6), Available ProQuest, 2003.

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