Cargando…
Multi-Scale Safety Helmet Detection Based on RSSE-YOLOv3
Due to the shielding of dense and small targets, real-time detection of whether construction workers are wearing safety helmets suffers from low detection accuracy and missed detection. In this paper, a new detection algorithm based on YOLOv3 is proposed. Firstly, the parallel network RepVGG Skip Sq...
Autor principal: | Song, Hongru |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414185/ https://www.ncbi.nlm.nih.gov/pubmed/36015821 http://dx.doi.org/10.3390/s22166061 |
Ejemplares similares
-
A lightweight YOLOv3 algorithm used for safety helmet detection
por: Deng, Lixia, et al.
Publicado: (2022) -
Research on Safety Helmet Detection Algorithm Based on Improved YOLOv5s
por: An, Qing, et al.
Publicado: (2023) -
Safety Helmet Detection Based on YOLOv5 Driven by Super-Resolution Reconstruction
por: Han, Ju, et al.
Publicado: (2023) -
Detection of safety helmet and mask wearing using improved YOLOv5s
por: Li, Shuangyuan, et al.
Publicado: (2023) -
Helmet Wearing State Detection Based on Improved Yolov5s
por: Zhang, Yi-Jia, et al.
Publicado: (2022)