Author

Rong-Lu Hong

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Open access Jul 2026

An enhanced YOLOv10 framework for small-object safety helmet detection on construction sites.

Findings indicate that the YOLOv10 detector is a strong candidate for deployment-focused helmet-compliance monitoring in large-scale construction settings, although performance limitations remain most evident in far-field views and highly crowded scenes.

Seunghyeon Wang, Enlian Zhang, Rong-Lu Hong et al. · Scientific Reports · 2 citations