The Application of Neural Network in Dish Recognition

Abstract

Food is a part of life, and it is something that everyone needs to consider. Everyone's time is precious in this busy modern city, and canteen efficiency has always been a criticism, with long lines taking up most of the time. The fully automatic dish recognition system can effectively solve this problem and reduce labor costs for the company. In this paper, the research work focuses on solving the problem of recognizing dishes in a fully automated dish recognition system and mainly employs a deep learning method of convolutional neural networks to identify different kinds of dishes. Firstly, the original images are pre-processed and divided into test and train data sets. Then the tensor flow is used to build a network model based on a convolutional neural network. The recognition accuracy reaches 81.21% after the algorithm's overall optimization and the parameters' adjustment in several trials.