R-CNN-Based Large-Scale Object-Defect Inspection System for Laser Cutting in the Automotive Industry
A car side-outer is an iron mold that is applied in the design and safety of the side of a vehicle, and is subjected to a complicated and detailed molding process. The side-outer has three features that make its quality inspection difficult to automate: (1) it is large; (2) there are many objects to...
Enregistré dans:
Auteurs principaux: | Donggyun Im, Jongpil Jeong |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/d1c9a63b9c3b470d9f2c43c1e31bf99c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Multisensor Inspection of Laser-Brazed Joints in the Automotive Industry
par: Miguel A. Machado, et autres
Publié: (2021) -
Analysis of the Possibilities of Tire-Defect Inspection Based on Unsupervised Learning and Deep Learning
par: Ivan Kuric, et autres
Publié: (2021) -
Analysis of Laser Sensors and Camera Vision in the Shoe Position Inspection System
par: Jaromír Klarák, et autres
Publié: (2021) -
A Data-Centric Approach to Design and Analysis of a Surface-Inspection System Based on Deep Learning in the Plastic Injection Molding Industry
par: Donggyun Im, et autres
Publié: (2021) -
Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection
par: Chao-Ching Ho, et autres
Publié: (2021)