This paper aims to solve the problem of detecting a paper currency and output the result as speech. The developed model accepts an image from a webcam (RasPi Camera). The Raspberry Pi’s image processing algorithm then extracts certain features from this image and matches them against a set of training data. When an appropriate match of the acceptable threshold is found, the device outputs the denomination value through speech synthesis. Moreover, this paper also compares two methods of image processing namely, Brute Force Matcher Algorithm and Convolution Neural Network Algorithm. Finally, the pros and cons of both the methods are evaluated and the best algorithm is ascertained.