Brain Computer Interface is a device which provides the communication between the human brain and the computer. This paper provides an idea of object recognition system using Principal Component Analysis (PCA) and Singular Value Decomposition (SVD). This is used to recognize the object by analyzing EEG signals in real time. K-Nearest Neighbors algorithm is implemented to classify the intended object. Multiple training sets and users are taken into account during the experiment and the efficiency of the algorithm is calculated.