Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5

Aiming to address the current shortcomings of the existing safety helmet wearing detection algorithms, including a slow reasoning speed, a large model size, and high hardware requirements, this study proposes an improved safety helmet wearing detection network named YOLOv5-SN, which is suitable for...

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Bibliographic Details
Main Authors: Zaihui Deng, Chong Yao, Qiyu Yin
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2023/1959962
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