Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers

Jonathan Karlsson, Fredrik Strand, Josef Bigun, Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Felix Nilsson

2023

Abstract

Workplace injuries are common in today’s society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions. The goal is thus to develop a system that will improve workers’ safety using a camera that will detect the usage of Personal Protective Equipment (PPE). To this end, we collected and labeled appropriate data from several public sources, which have been used to train and evaluate several models based on the popular YOLOv4 object detector. Our focus, driven by a collaborating industrial partner, is to implement our system into an entry control point where workers must present themselves to obtain access to a restricted area. Combined with facial identity recognition, the system would ensure that only authorized people wearing appropriate equipment are granted access. A novelty of this work is that we increase the number of classes to five objects (hardhat, safety vest, safety gloves, safety glasses, and hearing protection), whereas most existing works only focus on one or two classes, usually hardhats or vests. The AI model developed provides good detection accuracy at a distance of 3 and 5 meters in the collaborative environment where we aim at operating (mAP of 99/89%, respectively). The small size of some objects or the potential occlusion by body parts have been identified as potential factors that are detrimental to accuracy, which we have counteracted via data augmentation and cropping of the body before applying PPE detection.

Paper Citation

in Harvard Style

Karlsson J., Strand F., Bigun J., Alonso-Fernandez F., Hernandez-Diaz K. and Nilsson F. (2023). Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 395-402. DOI: 10.5220/0011693500003411

in Bibtex Style

@conference{icpram23,
author={Jonathan Karlsson and Fredrik Strand and Josef Bigun and Fernando Alonso-Fernandez and Kevin Hernandez-Diaz and Felix Nilsson},
title={Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={395-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011693500003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers
SN - 978-989-758-626-2
AU - Karlsson J.
AU - Strand F.
AU - Bigun J.
AU - Alonso-Fernandez F.
AU - Hernandez-Diaz K.
AU - Nilsson F.
PY - 2023
SP - 395
EP - 402
DO - 10.5220/0011693500003411