Aplicación basada en software para identificar y analizar imágenes de etiquetas nutricionales en empaques de frituras para revelar información sobre la composición nutricional y sus implicaciones en la salud

Abstract

Currently, overweight is a public health issue. The main social factors influencing this are related to dietary habits associated with the consumption of packaged fried foods or foods high in fats and sugars, combined with sedentary behaviors. Therefore, it is necessary to raise awareness among the population about the perception and causes of diseases related to nutrition. [1] The information and appropriate tools to help people make healthy food choices are not sufficient. In this project, the development of an application is proposed to identify and analyze images of nutritional labels on snack packaging, to support nutritional awareness. The implementation is based on optical character recognition to capture the data from the nutritional tables that will be analyzed to provide the user with relevant information about the food they are consuming. This project offers an alternative that allows consumers to make informed decisions about their diet and reduce the rates of diseases associated with poor dietary habits.