The purpose of the proposed system is to develop a computer system that can detect and recognize a person. Face recognition is done by comparing the characteristics of face to those of known individuals. There are many techniques used for face detection and recognition. Principal Component Analysis (PCA), a technique that is used in image recognition which is simply done by transforming the face images into a small set of characteristics that are called feature images. Those feature images are hence called as eigenfaces. The purpose of this project is to implement a face detector and face recognizer in real time using Principal Component Analysis (PCA) with eigenface. This project also uses EmguCV cross platform, .Net wrapper to the Intel OpenCV, image processing library and C#, .Net library for capturing and processing image of capture device in real time. The accuracy of 73.33% was obtained for the case of face recognition.