An optimized lightweight real-time detection network model for IoT embedded devices

An optimized lightweight real-time detection network model for IoT embedded devices

Abstract With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep lea...

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Bibliographic Details
Main Authors: Rongjun Chen, Peixian Wang, Binfan Lin, Leijun Wang, Xianxian Zeng, Xianglei Hu, Jun Yuan, Jiawen Li, Jinchang Ren, Huimin Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
YOLOv8
Neural networks
Embedded device
IoT
Computer vision
Online Access:https://doi.org/10.1038/s41598-025-88439-w
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https://doi.org/10.1038/s41598-025-88439-w

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