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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...


Using deep learning to detect the presence/absence of defects on leather: On th...

Adão, Telmo; Gonzalez, Dibet; Castilla, Yusbel Chavez; Pérez, José; Shahrabadi, Somayeh; Sousa, Nuno; Guevara, Miguel; Magalhães, Luís Gonzaga Mendes

In textile/leather manufacturing environments, as in many other industrial contexts, quality inspection is an essential activity that is commonly performed by human operators. Error, fatigue, ergonomic issues, and related costs associated to this fashion of carrying out fabric validation are aspects concerning companies' strategists, whose mission includes to watch over the physical integrity of their employees...


A ubiquitous service-oriented automatic optical inspection platform for textile...

Gonzalez, Dibet Garcia; Castilla, Yusbel Chavez; Shaharadaby, Somayeh; Mackay, Ana Margarida; Soares, Lúcia; Guimarães, Pedro; Morais, Francisco

Within a highly competitive market context, quality standards are vital for the textile industry, in which related procedures to assess respective manufacture still mainly rely on human-based visual inspection. Thereby, factors such as ergonomics, analytical subjectivity, tiredness and error susceptibility affect the employee's performance and comfort in particular and impact the economic healthiness of each co...


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