iBuffet: An AIoT-Based Intelligent Calorie Management System for Eating Buffet Meals With Calorie Intake Control
Wan‐Jung Chang, Liang-Bi Chen, I-Chen Lin, Yang‐Kun Ou
Abstract
This article proposes an intelligent calorie management system, named iBuffet, based on artificial intelligence over the Internet of Things (AIoT) techniques for eating buffet meals with calorie intake control. The proposed iBuffet system consists of intelligent buffet table modules, an artificial intelligence (AI) Wi-Fi base station, a mobile device application (app), and a cloud-based health management platform. The goal of the proposed iBuffet system is to improve consumer dining health through suitable calorie intake control by recording daily meals with calorie intake calculations via the proposed mobile device app. Furthermore, the related information is sent to the cloud-based platform for user health management. The experimental results show that the proposed iBuffet system can recognize 30 kinds of meals within 1 s, which can meet the requirements of actual buffet restaurants.