CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866929562760249344 |
|---|---|
| author | Liu, Xiaoyi Du, Ruina Tan, Lianghao Xu, Junran Chen, Chen Jiang, Huangqi Aldwais, Saleh |
| author_facet | Liu, Xiaoyi Du, Ruina Tan, Lianghao Xu, Junran Chen, Chen Jiang, Huangqi Aldwais, Saleh |
| contents | Ensuring safety on construction sites is critical, with helmets playing a key role in reducing injuries. Traditional safety checks are labor-intensive and often insufficient. This study presents a computer vision-based solution using YOLO for real-time helmet detection, leveraging the SHEL5K dataset. Our proposed CIB-SE-YOLOv8 model incorporates SE attention mechanisms and modified C2f blocks, enhancing detection accuracy and efficiency. This model offers a more effective solution for promoting safety compliance on construction sites. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_20699 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites Liu, Xiaoyi Du, Ruina Tan, Lianghao Xu, Junran Chen, Chen Jiang, Huangqi Aldwais, Saleh Computer Vision and Pattern Recognition Ensuring safety on construction sites is critical, with helmets playing a key role in reducing injuries. Traditional safety checks are labor-intensive and often insufficient. This study presents a computer vision-based solution using YOLO for real-time helmet detection, leveraging the SHEL5K dataset. Our proposed CIB-SE-YOLOv8 model incorporates SE attention mechanisms and modified C2f blocks, enhancing detection accuracy and efficiency. This model offers a more effective solution for promoting safety compliance on construction sites. |
| title | CIB-SE-YOLOv8: Optimized YOLOv8 for Real-Time Safety Equipment Detection on Construction Sites |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2410.20699 |