Real-time detection model of electrical work safety belt based on lightweight improved YOLOv5
Author:
Funder
Key research and development projects in Hebei province
Hebei Province Graduate Student Innovation Ability Training Funding Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11554-024-01533-6.pdf
Reference22 articles.
1. Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multiperson 2d pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7291–7299 (2017). https://doi.org/10.1109/CVPR.2017.143
2. Cao, J., Guo, Z., Pan, L., Ding, X.: Seat belt wearing detection in aerial work scenarios. J. Hunan Univ. Sci. Technol. 37, 92–99 (2022). https://doi.org/10.13582/j.cnki.1672-9102.2022.01.013
3. Fang, C., Xiang, H., Leng, C., Chen, J., Yu, Q.: Research on real-time detection of safety harness wearing of workshop personnel based on yolov5 and openpose. Sustainability (2022). https://doi.org/10.3390/su14105872
4. Feng, Z., Zhang, W., Zheng, Z.: Seat belt detection for working at height based on mask r-cnn. Comput Syst Appl 30, 202–207 (2021). https://doi.org/10.15888/j.cnki.csa.007812
5. Ge, Z., Liu, S., Wang, F., Li, Z., Sun, J.: Yolox: Exceeding yolo series in 2021 (2021). arXiv preprint arXiv:2107.08430. https://doi.org/10.48550/arXiv.2107.08430
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