High-Precision and Lightweight Model for Rapid Safety Helmet Detection

High-Precision and Lightweight Model for Rapid Safety Helmet Detection

This paper presents significant improvements in the accuracy and computational efficiency of safety helmet detection within industrial environments through the optimization of the you only look once version 5 small (YOLOv5s) model structure and the enhancement of its loss function. We introduce the...

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Bibliographic Details
Main Authors: Xuejun Jia, Xiaoxiong Zhou, Chunyi Su, Zhihan Shi, Xiaodong Lv, Chao Lu, Guangming Zhang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
YOLOv5s
CBAM attention mechanism
MPDIoU loss function
safety helmet detection
Online Access:https://www.mdpi.com/1424-8220/24/21/6985
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