Real-time safety helmet detection using enhanced YOLOv5 object detection.
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...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Published: |
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/107854/ http://dx.doi.org/10.1109/ICSIMA59853.2023.10373456 |
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Institution: | Universiti Teknologi Malaysia |