Paper
5 June 2024 Image-based fall detection of the operation and maintenance personnel in the deep foundation pit of the power transmission lines
ZhiJian Zhang, Jianyi He, Dong Bian, Zifan Shi, Yufeng Zhou
Author Affiliations +
Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316336 (2024) https://doi.org/10.1117/12.3030704
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
In view of the characteristics of complex action types and large action ranges in the normal operation of many people in the operation environment of deep foundation pits in electric power, and the problems of missing detection and misdetection of small targets are easy to occur in the process of conventional target detection, a method is proposed to add SE attention module to the backbone network, which can improve the degree of attention to the target by adjusting the weight of channel features adaptively. And use GIoU instead of default CIoU to calculate regression box losses. The experimental simulation shows that when the intersection ratio threshold of the improved algorithm is 0.5, the average precision of the improved algorithm is 1.3% higher than that of the YOLOv5s algorithm. These improved measures are used in the complex environment of electric power deep foundation pit operation, especially when the detection target and the background color are confused. It is helpful to improve the performance and robustness of target detection algorithm and reduce the occurrence of missing and false detection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
ZhiJian Zhang, Jianyi He, Dong Bian, Zifan Shi, and Yufeng Zhou "Image-based fall detection of the operation and maintenance personnel in the deep foundation pit of the power transmission lines", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316336 (5 June 2024); https://doi.org/10.1117/12.3030704
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Target detection

Object detection

Environmental sensing

Safety

Small targets

Video

Back to Top