Book Detection Using Deep Learning- Deep Learning projects-Matlab
In this project,book detection using deep learning algorithm.In order to automate a large Library where finding a book is a tough task, this paper shows a solution for it.Deep learning also consist of a camera which scans through the books whose output is then analysed by a neural network.In this paper, we provide a review on deep learning based book detection frameworks. Our review begins with a brief introduction on the history of deep learning and its representative tool, namely Convolutional Neural Network (CNN).
The proposed method,Convolutional neural network used is Alex Net to detect some classes.With the rapid development in deep learning, more powerful tools, which are able to learn semantic, text,high-level, deeper features, are introduced to address the problems existing in traditional architectures
The device used is a rover with capability of holding a book with its fingers. It also consists of a camera which scans through the books whose output is then analysed by a neural network.Deep learning is a part of machine learning which can classify text, sound and images.