YOLO-Helmet: A Novel Algorithm for Detecting Dense Small Safety Helmets in Construction Scenes

• Published in: IEEE access Vol. 12; pp. 107170 - 107180
• Main Authors: Yang, Guoliang, Hong, Xinfang, Sheng, Yangyang, Sun, Liuyan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Construction accidents & safety; Convolutional neural networks; coordinate attention; Feature extraction; Formability; GSConv; Head; Head-mounted displays; Helmet wearing detection; Helmets; Modules; Neck; NWD; Object recognition; Occlusion; Occupational safety; Real-time systems; Safety; Safety helmets; Sensitivity; Target detection; YOLOv7-tiny

Safety helmet wearing is an effective measure for reducing construction safety accidents. However, the current algorithms for detecting helmet-wearing face several challenges, including high missed detection rates and low accuracy in detecting dense small safety helmets. Therefore, this paper propos...