Safety Helmet Monitoring on Construction Sites Using YOLOv10 and Advanced Transformer Architectures with Surveillance and Body-Worn Cameras

Abstract

AbstractAutomated monitoring of safety helmets at construction sites is essential for injury prevention and ensuring safety compliance. Although object detection methods have been extensively used in prior research, direct comparisons remain challenging ...Practical ApplicationsThis research offers valuable practical applications for construction site safety management by enabling automated, accurate, and real-time detection of safety helmet compliance. By integrating the YOLOv10-based object detection ...