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...
Relating biometric sensors with serious games results
Pinho, Rafaela de; Pereira, Maria João; Azevedo, Ana Paula Pinto; Henriques, Pedro RangelWith the growing amount of data, it is necessary to create methods that facilitate its processing and and that allow a more efficient knowledge extraction from them. The main objective of the project here discussed is to correlate the performance of a patient while playing a serious game with the data collected, at the same time, by an eye tracker and the emotions detected by the Face API of Microsoft Azure sui...