Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios

Camillo Quattrocchi, Daniele Di Mauro, Daniele Di Mauro, Antonino Furnari, Antonino Furnari, Antonino Lopes, Marco Moltisanti, Giovanni Farinella, Giovanni Farinella, Giovanni Farinella

2023

Abstract

Using Machine Learning algorithms to enforce safety in construction sites has attracted a lot of interest in recent years. Being able to understand if a worker is wearing personal protective equipment, if he has fallen in the ground, or if he is too close to a moving vehicles or a dangerous tool, could be useful to prevent accidents and to take immediate rescue actions. While these problems can be tackled with machine learning algorithms, a large amount of labeled data, difficult and expensive to obtain are required. Motivated by these observations, we propose a pipeline to produce synthetic data in a construction site to mitigate real data scarcity. We present a benchmark to test the usefulness of the generated data, focusing on three different tasks: safety compliance through object detection, fall detection through pose estimation and distance regression from monocular view. Experiments show that the use of synthetic data helps to reduce the amount of needed real data and allow to achieve good performances.

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Paper Citation


in Harvard Style

Quattrocchi C., Di Mauro D., Furnari A., Lopes A., Moltisanti M. and Farinella G. (2023). Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 656-663. DOI: 10.5220/0011718000003417


in Bibtex Style

@conference{visapp23,
author={Camillo Quattrocchi and Daniele Di Mauro and Antonino Furnari and Antonino Lopes and Marco Moltisanti and Giovanni Farinella},
title={Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={656-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011718000003417},
isbn={978-989-758-634-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios
SN - 978-989-758-634-7
AU - Quattrocchi C.
AU - Di Mauro D.
AU - Furnari A.
AU - Lopes A.
AU - Moltisanti M.
AU - Farinella G.
PY - 2023
SP - 656
EP - 663
DO - 10.5220/0011718000003417
PB - SciTePress