Substation Safety Awareness Intelligent Model: Fast Personal Protective Equipment Detection Using GNN Approach

Author:

Zhao Meng1ORCID,Barati Masoud1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Reference24 articles.

1. SSD: Single shot multibox detector;liu;Proc Eur Conf Comput Vis,0

2. NFPA 70E standard for electrical safety in the workplace;Occupational Safety & Health Act (OSHA),2021

3. You Only Look Once: Unified, Real-Time Object Detection

4. Image dataset for PPE detection;zhao,0

5. Fast Personal Protective Equipment Detection for Real Construction Sites Using Deep Learning Approaches

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1. A Curriculum for Arc-Flash Analysis: For College Students;IEEE Industry Applications Magazine;2024-07

2. MEAG-YOLO: A Novel Approach for the Accurate Detection of Personal Protective Equipment in Substations;Applied Sciences;2024-05-31

3. Contributions to the Electrical Safety Knowledge Base in 2023 [Electrical Safety];IEEE Industry Applications Magazine;2024-05

4. Research on Visual Localization Method for Substation Live Working Robot Based on Deep Learning;Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence;2023-11-24

5. Substation Safety Awareness Intelligent Model: Fast Personal Protective Equipment Detection Using GNN Approach;IEEE Transactions on Industry Applications;2023-05

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