@article{ART003364205},
author={Youngmi Baek and Jung Kyu Park},
title={Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={7},
pages={23-32}
TY - JOUR
AU - Youngmi Baek
AU - Jung Kyu Park
TI - Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 7
PB - The Korean Society Of Computer And Information
SP - 23
EP - 32
SN - 1598-849X
AB - This paper proposes a vision-based framework for worker safety-state recognition and risk-aware decision support using helmet detection. The proposed method classifies worker head regions into helmet and no-helmet states using YOLOv8-based object detection models and uses the detection results as input to a downstream decision module. Experiments on a public safety helmet dataset showed that YOLOv8s achieved the most balanced performance, with an mAP@50 of 0.933 and a no-helmet recall of 0.867, while robustness analysis showed that noise and occlusion caused the largest performance degradation. In the simulation-based downstream decision experiment, the proposed method reduced both safety violations and unsafe exposure time to zero under the tested simulation settings, while achieving a shorter completion time than the distance-only strategy. These results indicate that helmet-state recognition can provide useful contextual information for simulation-based industrial safety monitoring and risk-aware decision support.
KW - worker safety-state recognition;helmet detection;YOLOv8;risk-aware decision support;industrial safety monitoring
DO -
UR -
ER -
Youngmi Baek and Jung Kyu Park. (2026). Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring. Journal of The Korea Society of Computer and Information, 31(7), 23-32.
Youngmi Baek and Jung Kyu Park. 2026, "Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring", Journal of The Korea Society of Computer and Information, vol.31, no.7 pp.23-32.
Youngmi Baek, Jung Kyu Park "Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring" Journal of The Korea Society of Computer and Information 31.7 pp.23-32 (2026) : 23.
Youngmi Baek, Jung Kyu Park. Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring. 2026; 31(7), 23-32.
Youngmi Baek and Jung Kyu Park. "Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring" Journal of The Korea Society of Computer and Information 31, no.7 (2026) : 23-32.
Youngmi Baek; Jung Kyu Park. Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring. Journal of The Korea Society of Computer and Information, 31(7), 23-32.
Youngmi Baek; Jung Kyu Park. Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring. Journal of The Korea Society of Computer and Information. 2026; 31(7) 23-32.
Youngmi Baek, Jung Kyu Park. Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring. 2026; 31(7), 23-32.
Youngmi Baek and Jung Kyu Park. "Robust Helmet-Based Worker Safety-State Recognition and Risk-Aware Decision Support for Industrial Safety Monitoring" Journal of The Korea Society of Computer and Information 31, no.7 (2026) : 23-32.
