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real time vechile tracking system

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real time vechile tracking system
SECURITY BASED AUTOMATIC DIGITAL DOOR OPENING&CLOSING SYSTEM USING FACE RECOGNITION
1.SriDhivyaKrishnan.K, 2.M.Gowsalya,3.N.Divya,4.T.Devika.
1(PG Scholar in Embedded System Technologies, Knowledge Institute Of Technology,Salem,India)
2(PG Scholar in Embedded System Technologies, Knowledge Institute Of Technology,Salem,India)

ABSTRACT Currently,theft has been done in lot of places in our society while considering safety issues this idea is proposed.The objective of this paper is to design the IMAGE based door opening and closing system and also increase the security in banks, collegesand homes based on biometric system. The biometric person authentication technique based on the pattern of the human iris is well suitable for application to any access control system requiring a high level of security. Today, biometric recognition is a common and reliable way to authenticate the identification of a person based on physiological or behavioral characteristics. So in thispaper if iris is matched the door it will be opened otherwise it will not be open. IR sensor used to detect the human in or out.By using this concept,we can avoid the theft in bank&home.It also used in various places in our society to avoid theft.The result of our idea is done in MATLAB & the simulation&Hardware Result are shown in this paper. This idea is very useful in banks, offices, shops etc..
KEYWORDS:MATLAB,PC,IRSensor,Digital Door Lock,WebCamera,GSM.

I. INTRODUCTION
Presently Industries are increasingly shifting towards automation. Two principle components of today’s industrial automations are programmable controllers and robots. In order to aid the tedious work and to serve the mankind, today there is a general tendency to develop anintelligentoperation.Microcontroller is the heart of the device which handles all the sub devices connected across it. It has flash type reprogrammable memory. It has some peripheral devices to play this project perform. Face recognition (FR) has



References: [1] Yang Ni, EmineKrichen, WalidHizem, Sonia Garcia-Salicetti, and Bernadette Dorizzicomparison of subspace analysis forface recognition,” in Proc. IEEE Int. Conf. Acoustics, Speech, SignalProcessing, vol. 3, Apr. 2003, pp. 121–124. [2] Xiao, Y., Yu, S., Wu, K., Ni, Q., Janecek., C., Nordstad, J, “ Radio frequency identification: technologies, applications, and research issues”, Wiley Journal of Wireless Communications and Mobile Computing, 2007,Vol 7. [3] K.S. Rawat, G.H. Massiha,"Secure Data Transmission Over Wireless Networks: Issues and Challenges”, University of Louisiana at Lafayette, USA, 2003 IEEE, pp-65 – 68

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