Surface Defect Detection of Industrial Parts Based on YOLOv5

Industrial product quality inspection, a crucial procedure in industrial production, is crucial in assuring product yield. Product safety and quality inspections on industrial assembly lines are predominantly manual, and there is currently a dearth of safe and dependable inspection techniques. An im...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2022, Vol.10, p.130784-130794
Hauptverfasser:	Le, Hai Feng, Zhang, Lu Jia, Liu, Yan Xia
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Assembly lines Computational modeling Deep learning Defect detection Feature extraction fine-grained detection Flaw detection Image enhancement Industrial production Inspection Manuals Object detection Object recognition Product safety Real-time systems Surface defects Target detection transformer Transformers YOLOv5
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!