Currency Detector System for Visually Impaired
Indresh Gupta, Sagar Kamble, Kartik Nisar, Parth Patel, Vidya Gogate · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: In this modern era, many technologies have boom but still there are many problems to be deal with and one of the problems we are trying to solve is to help blind people to recognize the currency notes so as to help them avoid any fraudulent and scam by any shopkeeper or by any other means. To overcome this problem, we will build a system which will tell them the amount of the notes and a total amount that they have shown. In our system, we’ve applied Artificial Neural Network (ANNs). The classifier has Convolutional Neural Network (CNN) layers to extract features from the input image. With those features we will classify the images into 7 classes i.e., currency notes. The output will be provided with the help of a speakers that will tell the user the amount as well as the total amount they have shown to the system. Keywords: Currency, Notes, detector, ML, Machine learning, DL. Deep Learning, RaspberryPi