Objective
An automatic system for quality control in high speed garment production based on the current state-of-the-art in computer vision techniques and involving advanced hardware architectures has been identified as a key device to increase the competitiveness of the European textile industry.
An inspection machine has been designed to automatically detect and classify pantyhose defects occurring in the manufacturing process. The need to perform inspection at real time throughput rates of 1.6 Mpixels has led to the development of unique hardware architecture, algorithm set and mechanical module capable to cope with the project requirements. The segmentation operations are done in a systolic processor specifically designed for this project. The imperfection classification is done in a network of transputers with a PC as a peripheral server. The prototype has achieved the expectedd results of reducing the defective production from 0.7% to 0.35%, and the tests performed on factory site show that the system is able to classify with a confidence of 95%.
The major technical tasks which represent significant technological advances in the textile manufacturing and in the incipient automatic inspection are :
-development of a computer vision system for automatic defect detection in whole finished garments with a reliability of at least 90 %;
-defect detection in real time at high speed production flow (at least 300 doz. in 8 hours), and with a reduction from 2.5 % to 0.3 % in the produced faulty pantyhose;
-development of new techniques for defect detection based on the latest advances in CCD cameras, parallel hardware architectures and parallel computer vision algorithms.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering manufacturing engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence computer vision
- engineering and technology materials engineering textiles
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Coordinator
08015 BARCELONA
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.