Research on Real-Time Detection of Safety Harness Wearing of Workshop Personnel Based on YOLOv5 and OpenPose

Wearing safety harness is essential for workers when carrying out work. When posture of the workers in the workshop is complex, using real-time detection program to detect workers wearing safety harness is challenging, with a high false alarm rate. In order to solve this problem, we use object detec...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Sustainability 2022-05, Vol.14 (10), p.5872
Hauptverfasser:	Fang, Chengle, Xiang, Huiyu, Leng, Chongjie, Chen, Jiayue, Yu, Qian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automobile safety Construction Datasets Deep learning Design False alarms Harnesses Helmets Human body Neural networks Occupational safety Real time Safety Seat belts Surveillance Sustainability Torso Video data Workers Workshops
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!