Artificial Intelligence Enabled Smart Refrigeration Management System Using Internet of Things Framework

Zhongxu Dong, Amir M. Abdulghani, Muhammad A. Imran, Qammer H. Abbasi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Design of an intelligent refrigeration management system using artificial intelligence and Internet of Things (IoT) technology is presented in this paper. This system collects the real-time temperature inside the refrigeration implement, record the information of products and enhance function of refrigerators through the application of Internet of Things technology to facilitate people in managing their refrigerated and frozen groceries smartly. The proposed system is divided into two parts, On-board sub-system and Internet based sub-system. An Arduino Leonardo board is used in onboard sub-system to control other components including low power machine vision OpenMV module, temperature & Humidity sensor, and GY-302 light intensity sensor. OpenMV camera module is used for recognizing types of food, reading barcodes and OCR (optical character recognition) through convolution neural network (CNN) algorithm and tesseract-ocr. The food type identification model is trained by the deep learning framework Caffe. GY-302 light intensity sensor works as a switch of camera module. DHT11 sensor is used to monitor the environmental information inside the freezer. The internet based sub-system works on the things network. It saves the information and uploads it from onboard sub-system and works as an interface to food suppliers. The system demonstrates that the combination of existing everyday utility systems and latest Artificial Intelligence (AI) and Internet of Things (IoT) technologies could help develop smarter applications and devices.

Original languageEnglish
Title of host publicationProceedings of the 2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020
PublisherInstitute for Color Science and Technology (ICST)
Number of pages6
ISBN (Electronic)9781450377713
Publication statusPublished - Apr 24 2020
Event2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020 - Sanya, China
Duration: Apr 24 2020Apr 26 2020

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633


Conference2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020


  • Artificial Intelligence (AI)
  • Convolution Neural Network
  • Internet of Things (IoT)
  • Machine Vision
  • Smart City
  • Smart Home Application
  • The Things Network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications
  • Health Informatics

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