A cost effective method for automobile security based on detection and recognition of human face

The proposed system for automobile security is a face detection and recognition application that control the automobile to be operated or restricted. This system is established for all types of door locks and particularly for automobiles. By using this methodology, resulted a better quality product with respect to documentation standards, code optimization, user acceptance due to adequately efficient, maintainable, consistence and cheaper software. With the up-to-date and influential technology, the system is not only expected to be workable, but also sufficiently efficient in terms of execution speed and response time. In our work we studied the limitations of the face recognition techniques and try to give the best solution with benefits of both fisherface and eigenface recognition methods at minimum cost. As the main aim of this work is to develop a low cost security system for a common man to keep his automobile save but it does not only protects the automobile but also assist in catching the thief by saving his image. This paper defines an efficient face detection and recognition algorithms using a cross platform of EmguCV as .Net wrapper to the Intel OpenCV library, Visual Studio and C# .Net, with hardware components essentially a Computer Stick and an Arduino uno.