An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK

An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK

During the production process of inkjet printing labels, printing defects can occur, affecting the readability of product information. The distinctive shapes and subtlety of printing defects present a significant challenge for achieving high accuracy and rapid detection in existing deep learning-bas...

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Bibliographic Details
Main Authors: Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
printing defect detection
YOLOv5
deep learning
Online Access:https://www.mdpi.com/1424-8220/24/23/7429
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