Deep Learning Algorithms With an Application in Garments Quality Control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F17%3A00004458" target="_blank" >RIV/46747885:24620/17:00004458 - isvavai.cz</a>

Result on the web

<a href="http://www.iecesaudi.com/all-papers.pdf" target="_blank" >http://www.iecesaudi.com/all-papers.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Deep Learning Algorithms With an Application in Garments Quality Control

Original language description

Deep learning is a machine learning technique that utilizes many layers of non-linear transformations to extract features (in supervised or unsupervised manners) from the system’s input. This creates systems that process information more efficiently and capable of performing a wider range of operations for classification and pattern analysis purposes. The hierarchy in this technique with many (deep) layers sets its performance apart from the traditional machine learning techniques, such as the Artificial Neural Networks (ANN) that have "shallow architectures" based on one or two non-linear transformations. This work presents a case study for applying this technique, for the first time, in monitoring the quality control of garments and detecting their sewing defects. The introduced Artificial Intelligent (AI) system is based on reading the sewing line using a digital camera and processing the acquired images using the deep-learning algorithms. The system shows a great ability to transfer knowledge from pre-trained deep-networks to extract multiple features from the images and use these features in a successful classification of the sewing lines and highlighting the defected spots, if any. Results of this work opens the door for on-line detection systems that can work with higher efficiency, which should reduce the costs associated with salvaging defected garment products.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LO1201" target="_blank" >LO1201: DEVELOPMENT OF THE INSTITUTE FOR NANOMATERIALS, ADVANCED TECHNOLOGIES AND INNOVATION</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů