Prototype mobile application definitions fresh products based on neural network

Abstract

The article discusses the functioning of the image classifier. The results of the process of research and implementation of the food freshness classifier using mobile phones to obtain product images are presented. Comparison of other approaches to reducing the risk of food poisoning is given. Provides research information on the collection of images for the classification of food and the classification of their freshness. A workable android application for recognizing the freshness of food has been implemented. Based on the analysis of the results of the training sample, the objects under study are ranked in order to determine the freshness of the product.