Real-time safety helmet detection using enhanced YOLOv5 object detection

• Main Authors: Muhammad Zamri, Fatin Najihah, Zulkurnain, Nurul Fariza, Gunawan, Teddy Surya, Kartiwi, Mira, Md Yusoff, Nelidya, Nur, Levy Olivia
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2023
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/110164/1/110164_Real-time%20safety%20helmet%20detection.pdf; http://irep.iium.edu.my/110164/7/110164_Real-Time%20Safety%20Helmet%20Detection%20Using%20Enhanced%20YOLOv5%20Object%20Detection_SCOPUS.pdf; http://irep.iium.edu.my/110164/; https://ieeexplore.ieee.org/abstract/document/10373456

Personal Protective Equipment (PPE) regulations require construction workers to wear safety helmets to ensure site safety. However, monitoring PPE compliance consistently in fast-paced, dynamic construction environments poses a significant challenge. In response, we developed a sophisticated object...