Embedded Systems and Robotics that Improving Security Model with 2D and 3D of Face – Recognition Access Control System using Neural Networks
Roop Singh Takur1, E.Ramkumar2

1Roop Singh Takur, Asst.professor,Cyryx College (Help Univers..
2E.Ramkumar, Asst.professor ,Cyryx College (Help University).
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 197-200 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1151112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Recognition and Sensor monitor Control are the basic tasks performed by Artificial Neural Networks. In this paper we present new technology for Security reasons. That is Robots and Embedded systems Using Camera inside the devices. By using sensor controls we can captures the photos and videos of the crimes and terrorists activities performing by human beings. Embedded Systems devices such as LED TV, Car, Air conditioners where we are using in Airports and Markets, Bus stations, Railway stations so on. Especially in public places. By using these method crimes will be reduced greater Extent. Some countries are using robots for security purpose and in other countries we are using embedded systems for Entertainments, announcements, air, travelling purpose. They are using embedded applications inside. I am going to show by keeping cameras inside into that we can also performs Face recognition in 2D and 3D.Here in this paper using Back propagation algorithm is used to detect the face in proper manner and right direction without any errors and transferred images into memories in micro controller chip
Keywords: Artificial Neural Networks, Back propagation, 3DModel-Face recognition, Robots, Embedded systems.