Chapter Deep Learning-Based Pose Estimation for Identifying Potential Fall Hazards of Construction Worker
Fall from height (FFH) is one of the major causes of injury and fatalities in construction industry. Deep learning-based computer vision for safety monitoring has gained attention due to its relatively lower initial cost compared to traditional sensing technologies. However, a single detection model...
Gardado en:
| Main Authors: | , , , , , |
|---|---|
| Formato: | Online |
| Idioma: | inglés |
| Publicado: |
Firenze University Press
2024
|
| Subjects: | |
| Acceso en liña: | ONIX_20240402_9791221502893_39 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
Títulos similares: Chapter Deep Learning-Based Pose Estimation for Identifying Potential Fall Hazards of Construction Worker
- Chapter Deep Learning Based Pose Estimation of Scaffold Fall Accident Safety Monitoring
- Chapter Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data
- Human Pose Estimation with Implicit Shape Models
- Chapter Seamless Indoor/Outdoor Marker-Less Augmented Reality Registration Supporting Facility Management Operations
- Chapter Identifying and Developing Prerequisites for Takt Planning in a BIM-Based Construction Process
- Chapter iSafeIncentive: Transforming Construction Safety Culture through Blockchain Incentives