Fruits and Vegetables Detection for Visually Impaired Person

Abstract

Fruits and Vegetables Detection For Visually Impaired Person plays an important role in Application Systems. It helps the customers to identify their desired fruits and vegetables not only by image but also with identifying sound. The main purpose of this mobile application system is to help blind people to identify fruits and vegetables so that they can purchase their food on their own. It can be also used by robots and in the conveyor belt of factories. However, convolutional neural networks have proved to be potentially more effective. In this thesis, we present a convolutional neural network trained to classify and detect fruits and vegetables from multiple angles.