Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

The use of the deep learning approach in the textile industry for the purpose of defect
detection has become an increasing trend in the past 20 years. The majority of publications …

Fabric quality has an important role in the textile sector. Fabric defect, which is a highly
important factor that influences the fabric quality, has become a concept that researchers are …

Meltblown nonwoven fabrics are used in various products, such as masks, protective
clothing, industrial filters, and sanitary products. As the range of products incorporating …

In this research, we propose a method for classifying 4 types of pineapple fiber woven
fabrics which are pure pineapple fiber woven fabrics, manual-connected pure pineapple …

Due to the deforming and dynamically changing textile fibers, the quality assurance of
cleaned industrial textiles is still a mostly manual task. Usually, textiles need to be spread …

The Deep Learning technology known as Convolutional Neural Network (CNNs) are
relatively new in the machine learning that has been employed for computer vision in the …

Automated Visual Inspection (AVI) has seen revolutionary improvements in defect
identification, accuracy, and process effectiveness after integrating Deep Learning …

Due to urbanization, there is a growing demand for knowledge on urban patterns and their
dynamics at multiple spatial scales. Reliable information on urban land cover is increasingly …