FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture
The operation space of the vertical lift shaft is small, the components are complex, the occluding and different behavior space characteristics are similar, and the unsafe behavior is not easy to detect, which makes the operation safety of maintenance personnel in the elevator greatly threatened. Th...
Saved in:
| Main Authors: | Zengming Feng, Tingwen Cao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-11-01
|
| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241509?viewType=HTML |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reliability and safety of elevators and escalators/ travelators: Past, present and future
by: Ping Kwan Man, et al.
Published: (2025-03-01) -
Detection of underground personnel safety helmet wearing based on improved YOLOv8n
by: WANG Qi, et al.
Published: (2024-09-01) -
Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images
by: Bo Wei, et al.
Published: (2024-12-01) -
Advanced Object Detection for Maritime Fire Safety
by: Fazliddin Makhmudov, et al.
Published: (2024-11-01) -
Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11
by: Lei Zhang, et al.
Published: (2024-12-01)