Results 1 to 10 of about 2,752 (173)

A multi-scale attention mechanism for detecting defects in leather fabrics [PDF]

Heliyon
Defect detection is critical to industrial quality control in leather production engineering. The various sizes and locations of defects in leather, as well as significant differences within the same class and indistinctive variations between different ...
Hao Li, Yifan Liu, Huawei Xu, Ke Yang, Zhen Kang, Mengzhen Huang, Xiao Ou, Yuchen Zhao, Tongzhen Xing   +8 more
doaj   +4 more sources

Experimental Study on YOLO-Based Leather Surface Defect Detection

IEEE Access
Accurate, reliable, and fast intelligent detection of leather surface defects has become an important subject in industrial inspection, which aims at improving production efficiency and increasing automation levels.
Zhiqiang Chen, Qirui Zhu, Xiaofan Zhou, Jiehang Deng, Wei Song   +4 more
doaj   +4 more sources

Deep learning and machine learning neural network approaches for multi class leather texture defect classification and segmentation

Journal of Leather Science and Engineering, 2022
Modern leather industries are focused on producing high quality leather products for sustaining the market competitiveness. However, various leather defects are introduced during various stages of manufacturing process such as material handling, tanning ...
Praveen Kumar Moganam, Denis Ashok Sathia Seelan   +1 more
doaj   +2 more sources

Leather Defect Detection Method in Clothing Design Based on TDENet

IEEE Access, 2023
Defect detection models generally require a large number of samples to learn the features of defects, but in practical scenarios, it is difficult to collect samples of important defects.
Fen Wang, Kim Ju Kyoung
doaj   +2 more sources

Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings

IEEE Access, 2020
Leather defect analysis is important for leather quality grading which directly effects the leather exports. Automated leather sample classification is vital due to slow and subjective nature of the manual process.
Masood Aslam, Tariq M. Khan, Syed Saud Naqvi, Geoff Holmes, Rafea Naffa   +4 more
doaj   +3 more sources

Light-Dependent Properties of Finishing and Leather Defects

Advances in Materials Physics and Chemistry, 2021
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Florio, Claudia, Calvanese, Gianluigi
exaly   +4 more sources

A Novel Framework for Classifying Leather Surface Defects Based on a Parameter Optimized Residual Network

IEEE Access, 2020
Existing works on leather surface defects are mainly focused on the defect detection without performing the classification automatically. On the other hand, the manual classification has the disadvantages including a misjudgment, the occurrence of ...
Jiehang Deng, Jiaxin Liu, Changzheng Wu, Tao Zhong, Guosheng Gu, Bingo Wing-Kuen Ling   +5 more
doaj   +3 more sources

Quality Improvement Plan for Leather Sandal Products to Reduce Defects

International Journal of Business, Economics, and Social Development, 2023
CV. Rama Raiders was a home industry engaged in the fashion sector. The business had seven main stages of the production process: selecting materials, making patterns, cutting techniques, sewing processes, gluing processes, finishing/quality control, and
Yusuf Mauluddin, Dewi Rahmawati, Azmi Akmal Lutfi, Ripki Abdul Aziz   +3 more
doaj   +2 more sources

On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey

IEEE Access, 2019
Reliably and effectively detecting and classifying leather surface defects is of great importance to tanneries and industries that use leather as a major raw material such as leather footwear and handbag manufacturers.
Masood Aslam, Tariq M. Khan, Syed Saud Naqvi, Geoff Holmes, Rafea Naffa   +4 more
doaj   +3 more sources

Multicamera Fusion-Based Leather Defects Marking System [PDF]

Advances in Mechanical Engineering, 2013
Real-time acquisition of ultra-high wide view video images is essential in leather defects marking systems because this enables either the leather manufacturing process or an inspector to identify leather defects.
Chao-Ching Ho, Jheng-Ciao Li, Tzu Hsin Kuo, Chun-Chi Peng   +3 more
doaj   +2 more sources