Emerging Technologies for Internet of Things Refrigerator
Melike Ayşenur Yıldırım1, Tarek Najjar2
1Melike Ayşenur Yıldırım*, Department of Computer Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
2Tarek Najjar, Department of Computer Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
Manuscript received on January 25, 2022. | Revised Manuscript received on February 01, 2022. | Manuscript published on February 28, 2022. | PP: 68-75 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33770211322 | DOI: 10.35940/ijeat.C3377.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart home technologies have accelerated with the internet of things and continue to develop by combining new ideas. Almost all electronic devices used in homes have been affected by this change. Smart refrigerator systems aim to prevent food waste and health problems as they continue to develop day by day. Researchers are working on smart refrigerators and generating new ideas. Users interact with internet-refrigerators using cameras, sensors and object detection, and artificial intelligence applications developed for these devices. Today, using cloud computing technology, robotic, artificial intelligence, and deep learning algorithms, smart refrigerator users can be informed about the expiry date and the amount of food in the refrigerator with warning messages and access the data loaded in the sensors. Recent advances in smart refrigerators have led to new developments using computer vision, image processing, and voice recognition algorithms. This article examines the methods used by researchers in their recent studies of smart refrigerators.
Keywords: Artificial Intelligence, Cloud Computing, Deep Learning, Image Recognition, Internet of Things, Object Detection, Smart Refrigerator.
Scope of the Article: Artificial Intelligence