Internet of things driven object detection framework for consumer product monitoring using deep transfer learning and hippopotamus optimization

Internet of things driven object detection framework for consumer product monitoring using deep transfer learning and hippopotamus optimization

Abstract Nowadays, cost-sensitive customers need customized products that demand consumption-based production. The Internet of Things (IoT) makes ubiquitous sensing and data more available, integrating with the semantic web and advanced sensor technologies. Augmented reality (AR) is a collaborative...

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Bibliographic Details
Main Authors: Amnah Alshahrani, Mukhtar Ghaleb, Hany Mahgoub, Achraf Ben Miled, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Hasan Beyari, Sultan Alanazi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Object detection
Holographic visualization
Consumer product
Hippopotamus optimization algorithm
Binary amplitude hologram
IoT
Online Access:https://doi.org/10.1038/s41598-025-13224-8
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https://doi.org/10.1038/s41598-025-13224-8

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