Safety Helmet Detection Based on YOLOv5 Driven by Super-Resolution Reconstruction

Safety Helmet Detection Based on YOLOv5 Driven by Super-Resolution Reconstruction

High-resolution image transmission is required in safety helmet detection problems in the construction industry, which makes it difficult for existing image detection methods to achieve high-speed detection. To overcome this problem, a novel super-resolution (SR) reconstruction module is designed to...

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Bibliographic Details
Main Authors: Ju Han, Yicheng Liu, Zhipeng Li, Yan Liu, Bixiong Zhan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
deep learning
real-time detection
safety helmet detection
super-resolution reconstruction
YOLOv5
Online Access:https://www.mdpi.com/1424-8220/23/4/1822

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