Development and accuracy evaluation of a YOLOv4-based food detection model for smart IoT refrigerators

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Development and accuracy evaluation of a YOLOv4-based food detection model for smart IoT refrigerators

Efficient management of food stored in conventional refrigerators poses notable challenges, primarily due to the lack of advanced features required for inventory tracking. The absence of timely alerts further complicates users’ efforts to monitor their food supplies, resulting in understocking, over...

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Bibliographic Details
Main Authors:	Muhammad Faiz Bukhori, Lee, Xiao Xian, Nasharuddin Zainal, Seri Mastura Mustaza
Format:	Article
Language:	English
Published:	Fakulti Kejuruteraan ,UKM,Bangi. 2024
Online Access:	http://journalarticle.ukm.my/25710/ http://journalarticle.ukm.my/25710/1/06.pdf

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