@inproceedings{98ef02ecdfa243129d62b69d1fff8cdb,
title = "Research on the Food Recognition Technology of Computer Vision-Based Smart Microwave Oven",
abstract = "The society have observed a significant increase in intelligent products over recent years, which has enhanced work efficiency and quality, and concurrently raised living standards. Microwave ovens, essential in contemporary life, provide significant convenience, but traditional models lack advanced cooking capabilities. This research aims to develop an innovative intelligent microwave oven capable of automatic food recognition and cooking. This research employs computer vision technology and the YOLOv5 algorithm for precise identification of food types. The designed food recognition technology has shown promising results, establishing a foundation for future advancements in intelligent microwave technology.",
keywords = "Computer Vision, Intelligent Interaction, Smart Microwave Oven, YOLO",
author = "Tianlun Yang and Anhai Yao and Georgios Kapogiannis and Kang, \{Byung Gyoo\}",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; 2025 International Symposium on Artificial Intelligence Innovations, IS-AII 2025 ; Conference date: 11-01-2025 Through 14-01-2025",
year = "2025",
doi = "10.1117/12.3074564",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xin Xu and Weihua Ou",
booktitle = "International Symposium on Artificial Intelligence Innovations, IS-AII 2025",
address = "United States",
}