[HTML][HTML] Fabric surface defect classification and systematic analysis using a cuckoo search optimized deep residual network
Fabric defects can significantly impact the quality of a textile product. By analyzing the types
and frequencies of defects, manufacturers can identify process inefficiencies, equipment …
and frequencies of defects, manufacturers can identify process inefficiencies, equipment …
Analysis of GLCM-feature-based dimensionality reduction and feature extraction methods for classifying fabric design patterns by using video data
Manufacturing industries now leverage high-dimensional streaming video data from diverse
sensors, represented as tensors (multidimensional arrays of channels× signals× time), for …
sensors, represented as tensors (multidimensional arrays of channels× signals× time), for …
Ensemble learning application for textile defect detection
Textile production has an important share in the Turkish economy. One of the common
problems in textile factories in Turkey is fabric texture defects that may occur due to textile …
problems in textile factories in Turkey is fabric texture defects that may occur due to textile …
Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
J Sanjana, A Al Muhit, A Zia - 2023 - dspace.bracu.ac.bd
In order to reduce manpower and bottleneck in the inspection system of industrial garments,
we explored the application of the YOLOv5 model using our very own dataset of defective …
we explored the application of the YOLOv5 model using our very own dataset of defective …