3 documents found, page 1 of 1
A robust real-time leather defect segmentation using YOLO
Silva, Vitor; Pinho, Rafaela de; Allahdad, Mehrab Khazraeiniay; Silva, Jorge; Ferreira, Manuel J.; Magalhães, Luís Gonzaga MendesNatural leather is a product made from animal skin which is treated through chemical procedure to preserve it. It is used in the manufacture of clothing, bags, furniture, automobile material, among others. Because of its capital value in industry, it is important to ensure its quality. Traditional inspection by human experts is expensive, time-consuming, and subjective to human errors. Consequently, automatic l...
Quality control using U-Net: detecting defects in leather
Allahdad, Mehrab Khazraeiniay; Pinho, Rafaela de; Silva, Jorge; Silva, Vitor; Ferreira, Manuel J.; Magalhães, Luís Gonzaga MendesRecently, there has been a significant amount of attention towards computer vision algorithms, particularly those that focus on semantic segmentation applications. This is due to the availability of big data to train models, as well as the computational ability of these algorithms. Among the various computer vision applications, the U-Net has gained popularity due to its reliable accuracy, simplicity in constru...
Leather defect detection using semantic segmentation: A hardware platform and s...
Khanal, Salik Ram; Silva, Jorge; Magalhães, Luís Gonzaga Mendes; Soares, João; Gonzalez, Dibet Garcia; Castilla, Yusbel Chavez; Ferreira, Manuel J.Leather is a textile material made from the animal skins created through a process of tanning of hides. It is a durable material, and the price is higher compared to other types of textiles. The leather is highly sensitive to its quality and surface defect condition as it is expensive. The manual defect inspection process is tedious, labor intensive, time consuming, and often prone to human error. The aim of th...