PPE-Glove Detection for Construction Safety Enhancement Based on Transfer Learning-Reference-Cited by-同舟云学术

PPE-Glove Detection for Construction Safety Enhancement Based on Transfer Learning

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2021
language:
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Author:

Gugssa Mikias¹²³⁴³,Gurbuz Ali¹²³⁴³,Wang Jun¹²³⁴³,Ma Junfeng¹²³⁴³,Bourgouin Joshua¹²³⁴³

Affiliation:

1. Richard A. Rule School of Civil and Environmental Engineering, Mississippi State Univ., Mississippi State, MS.

2. Electrical and Computer Engineering, Mississippi State Univ., Mississippi State, MS.

3. Richard A. Rula School of Civil and Environmental Engineering, Mississippi State Univ., Mississippi State, MS.

4. Industrial and Systems Engineering, Mississippi State Univ., Mississippi State, MS.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483893.008

Reference16 articles.

1. Adarsh P. Rathi P. and Kumar M. (2020). “YOLO v3-Tiny: Object Detection and Recognition using one stage improved model.” 2020 6th International Conference on Advanced Computing and Communication Systems ICACCS 2020 687–694.

2. Towards on-site hazards identification of improper use of personal protective equipment using deep learning-based geometric relationships and hierarchical scene graph.;Chen S.;Automation in Construction,2021

3. Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

4. Gerson L. Gadbem E. Alves P. Ferreira M. de Alcântara A. and Fernandes C. (2019). “Automated supervision of personal protective equipment usage.” Offshore Technology Conference Brasil 2019 1–12.

5. Github Inc. (2019). “Yolo_Label.” https://github.com/developer0hye/Yolo_Label.git Accessed 15 February 2021.

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