Design and implementation of food nutrition information system using SURF and FatSecret API

Ridho Rahman Hariadi, Wijayanti Nurul Khotimah, Eko Adhi Wiyono
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引用次数: 8

Abstract

People are constantly looking for ways to improve their health and one approach that could be taken in addition to exercising is managing daily nutrition intake. Even though to get fit and healthy we must manage our daily nutrition intake often we do not know what nutrients are present in food. Therefore, before eating we need to look for nutrition information of the food. The usual process of getting the food's nutrition information is by searching via the google or use some application such as Coach Noom, Calorie Counter, Lose It. In this paper we proposed to make this process smarter, faster, and more efficient by developing an android application that can shows the nutrition information by just taking the picture of the food. We develop an android augmented reality application to help users to get nutritional information in an easy and informative way. The information is displayed in the form of calorie, fat, carbohydrate, and protein per serving. Using this application, users can get the nutritional information simply by taking a picture of the food. From our experiments, the food recognition's accuracy level is 92%, while the average time required to identify the name and the nutrients is 9.295 seconds.
基于SURF和FatSecret API的食品营养信息系统的设计与实现
人们一直在寻找改善健康的方法,除了锻炼之外,还可以采取的一种方法是管理日常营养摄入。尽管为了保持健康,我们必须控制每天的营养摄入,但我们常常不知道食物中有什么营养成分。因此,在吃之前我们需要查找食物的营养信息。获取食物营养信息的通常过程是通过谷歌搜索或使用一些应用程序,如Coach Noom,卡路里计数器,Lose It。在本文中,我们建议通过开发一个android应用程序,使这一过程更智能、更快、更高效,该应用程序可以通过拍摄食物的照片来显示营养信息。我们开发了一个android增强现实应用程序,以帮助用户以简单和翔实的方式获取营养信息。这些信息以每份食物的卡路里、脂肪、碳水化合物和蛋白质的形式显示出来。使用这款应用程序,用户只需给食物拍照就能获得营养信息。从我们的实验来看,食品识别的准确率为92%,而识别名称和营养成分的平均时间为9.295秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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