Development Of Food Tracking System Using Machine Learning

J. J. Jijesh, J. Jinesh, Dileep Reddy Bolla, P. V. Sruthi, M. Dileep, Dr. Keshavamurthy
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引用次数: 0

Abstract

The use of technology has played a vital role in the person’s Food intake, its quality and calorie measurement. A successful framework will enhance better leaving of the individuals and allows individual to consume the food in a well optimized manner. A real-time framework is developed to monitor eating pattern of the individuals during their food intake. Food recognition and tracking is implemented using machine learning based on the support vector machines (SVM). When the food consumption among the people increases, the problem related to the food also increases. Hence in this paper we introduce a food recognition system in which calories are measured along with the food detection. We create a dataset for both the food images and calories present in that food. Food and calories detected are sent through the mail for the user.
基于机器学习的食品跟踪系统的开发
科技的使用在人们的食物摄入、质量和卡路里测量中起着至关重要的作用。一个成功的框架将提高个人更好的离开,并允许个人以一种优化的方式消费食物。开发了一个实时框架,以监测个人在进食期间的饮食模式。利用基于支持向量机(SVM)的机器学习实现食物识别和跟踪。当人们的食物消费量增加时,与食物有关的问题也增加了。因此,本文介绍了一种在食品检测的同时测量热量的食品识别系统。我们为食物图像和食物中的卡路里创建了一个数据集。检测到的食物和卡路里通过邮件发送给用户。
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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