Yolov8‐HAC: Safety Helmet Detection Model for Complex Underground Coal Mine Scene

• Published in: Computer animation and virtual worlds Vol. 36; no. 4
• Main Authors: Liu, Rui, Lu, Fangbo, Luo, Wanchuang, Cao, Tianjian, Xue, Hailian, Wang, Meili
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.07.2025; Wiley Subscription Services, Inc
• Subjects: coal mine safety; Coal mines; Coal mining; dynamic selection; Feature extraction; Helmets; Illumination; local feature enhancement; Modules; Object recognition; Occupational safety; Safety helmets; small object detection; Target detection; Underground mines; Working conditions; YOLOv8n

ABSTRACT The underground coal mine working environment is complicated, and the detection of safety helmet wearing is vital for assuring worker safety. This article proposes an improved YOLOv8n safety helmet detection model, YOLOv8‐HAC, to address the issues of coexisting strong light exposure and lo...