FDD: a deep learning–based steel defect detectors
Surface defects are a common issue that affects product quality in the industrial
manufacturing process. Many companies put a lot of effort into developing automated …
manufacturing process. Many companies put a lot of effort into developing automated …
Systematic review of steel surface defect detection methods on the open access datasets of Severstal and the Northeastern University (NEU)
Steel is the essential component in various arias such as construction and infrastructure,
mechanical and automotive items, metal goods, transportation, electrical devices, home …
mechanical and automotive items, metal goods, transportation, electrical devices, home …
Memorymamba: Memory-augmented state space model for defect recognition
As automation advances in manufacturing, the demand for precise and sophisticated defect
detection technologies grows. Existing vision models for defect recognition methods are …
detection technologies grows. Existing vision models for defect recognition methods are …
Steel surface defect recognition using classifier combination
The quality control of steel products' surface is of utmost importance, where several
inspection techniques and technologies have been proposed over the last few years …
inspection techniques and technologies have been proposed over the last few years …
Fast and accurate detection of surface defect based on improved YOLOv4
J Lian, J He, Y Niu, T Wang - Assembly Automation, 2022 - emerald.com
Purpose The current popular image processing technologies based on convolutional neural
network have the characteristics of large computation, high storage cost and low accuracy …
network have the characteristics of large computation, high storage cost and low accuracy …
CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models
A Bouguettaya, H Zarzour - The International Journal of Advanced …, 2024 - Springer
During the manufacturing process, hot-rolled steel strip surface defects occur frequently.
These defects cause economic losses and risks in the use of these products. Therefore, it is …
These defects cause economic losses and risks in the use of these products. Therefore, it is …
Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
Numerous industries utilize carbon fiber composites (CFC) for their exceptional strength-to-
weight ratio and stiffness. However, inherent manufacturing defects such as voids and …
weight ratio and stiffness. However, inherent manufacturing defects such as voids and …
A framework for flexible and reconfigurable vision inspection systems
F Lupi, M Biancalana, A Rossi, M Lanzetta - The International Journal of …, 2023 - Springer
Reconfiguration activities remain a significant challenge for automated Vision Inspection
Systems (VIS), which are characterized by hardware rigidity and time-consuming software …
Systems (VIS), which are characterized by hardware rigidity and time-consuming software …
Assessment of milling condition by image processing of the produced surfaces
N Carbone, L Bernini, P Albertelli, M Monno - The International Journal of …, 2023 - Springer
The digital industrial revolution calls for smart manufacturing plants, ie plants that include
sensors and vision systems accompanied with artificial intelligence and advanced data …
sensors and vision systems accompanied with artificial intelligence and advanced data …
A Hybrid Deep Learning and Machine Learning-Based Approach to Classify Defects in Hot Rolled Steel Strips for Smart Manufacturing.
T Hussain, J Hong, J Seok - Computers, Materials & …, 2024 - search.ebscohost.com
Smart manufacturing is a process that optimizes factory performance and production quality
by utilizing various technologies including the Internet of Things (IoT) and artificial …
by utilizing various technologies including the Internet of Things (IoT) and artificial …