In today's world a need for brand identification has become more important ,as it could be used for classification of certain brands or even in the artificial intelligence it plays an important role . This paper presents a model for car brand recognition. An input for this method is a car surveillance video obtained from the real time environment. The method used is a invariant key point Descriptor. The invariant keypoint descriptors does not change the vector value even if the image is scaled or rotated . This approach boosts the recognition accuracy compared with that of the standard SIFT based feature matching. The approach used for brand identification has been presented with results.

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Surf sift invariant Key Point hessian Matrix Feature Vector