An Algorithm for Safety Helmet Detection Based on Improved YOLOv8
In recent years, due to the high number of unsafe factors in the construction industry, its death rate and injury rate have become the focus of research in the field of target detection. In the complex environment of the construction site, workers often forget to wear helmets or fail to wear them pr...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2026-05-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2076-3417/16/10/4613 |
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