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12 December 2024 Electric power personnel safety monitoring method based on intelligent image processing
Nannan Yan, Jianfeng Feng, Xiangyang Xue, Lei Su, Yan Chen
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Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134392K (2024) https://doi.org/10.1117/12.3055529
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China
Abstract
In this work, an intelligent monitoring method based on target detection and pose estimation is proposed for personal protective equipment monitoring and deep analysis of safety behavior. Different from previous image processing methods, this work uses object detection algorithm to calculate the types and positions of operators and security tools in image data. The pose estimation algorithm is introduced to calculate the key points of the human skeleton in the image data and identify the human pose, and then the relative position relationship of the key point coordinates is compared to analyze and judge the pose of the operator. The experimental results show that the intelligent monitoring method proposed in this work can improve the safety protection effect of operators to the greatest extent on the premise of ensuring the smooth completion of operations.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Nannan Yan, Jianfeng Feng, Xiangyang Xue, Lei Su, and Yan Chen "Electric power personnel safety monitoring method based on intelligent image processing", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134392K (12 December 2024); https://doi.org/10.1117/12.3055529
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KEYWORDS
Safety
Object detection
Target detection
Pose estimation
Detection and tracking algorithms
Data modeling
Image processing
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