Open AccessFridge load management system with AI and IOT alert
Author(s) -
Zainal Hisham Che Soh,
Jaafar Ag Ku Izzul Hamzi Ag,
Siti Noraini Sulaiman,
Syahrul Afzal Che Abdullah,
Mahamad Hakimi Ibrahim,
Bakar Aslina Abu
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1088/1/012062
Subject(s) - internet of things , computer science , dashboard , cloud computing , computer security , refrigerator car , embedded system , real time computing , database , operating system , engineering , mechanical engineering
The technological development nowadays has allowed the use of smart appliances and machines almost anywhere. The refrigerator is considered one of the most significant appliances that is being used in almost every place for the purpose of storing foods, drinks, and medicines at cold temperatures, and in a sealed place to avoid it from being exposed. Therefore, a system is introduced which can manage fridge load with AI and IoT alert. Using object detection, the system is able to detect types of drinks which are cans and bottles. The dataset images of cans and bottles is trained using two models, Faster R-CNN and SSD mobilenet. The system will count the number of drinks detected by the camera, which the data obtained is sent to IoT cloud which is Ubidots. The Ubidots dashboard will show the number of drinks detected and the stock availability. In the same time, if the number of drinks detected is zero, it will send a notification via the Telegram to alert the user that the drinks are out of stock. Using this system is better since it only need to use a camera as the medium to detect products instead of using many sensors which cause wiring hassle.