An Investigation Into a Lightweight Safety Helmet Detection Approach Utilizing the MSS-YOLO Framework

An Investigation Into a Lightweight Safety Helmet Detection Approach Utilizing the MSS-YOLO Framework

Motivated by the challenges of low detection accuracy, false positives, false negatives, and the excessive computational demand in safety helmet detection within complex power scenarios, this paper introduces a lightweight safety helmet object detection algorithm based on MSS-YOLO. Initially, the pr...

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Bibliographic Details
Main Authors: Bing Zeng, Zhanpeng Liao, Yu Zhou, Dilin He, Zhihao Zhou, Kexin Yi, Yuwen Li, Xiaopin Yang, Yunmin Xie
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
MSS-YOLO
safety helmet
lightweight
MobileNetV3-SC
simSPPF-N
SC attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10767142/
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https://ieeexplore.ieee.org/document/10767142/

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