Objective
In the garment industry, the cutting of patterned materials is a very time consuming process. When the quality standards are high, garments are generally cut by hand, increasing the cost. The objective of the project was to provide an automatic system able to improve the quality and the productivity of the cutting of patterned materials. It consisted of combining a vision device to identify patterns with a quick automatic cutting system. Another interest of the project was that fabric saving can be realized which decreases the production cost of the garment.
A cutting machine with a miniature reciprocating blade has been developed and a prototype has been built which comprises 3 modules:
automatic feeding and matching module on which patterns are recognized and the parts of the garment are superimposed with patterns (a special device allows to cut the fabric at the optimal length in order to minimize waste);
automatic cutting module on which the piece of fabric is cut in accordance with the nesting determined on the previous module;
evacuation module on which the cutting parts are transferred to be picked up by an operator.
The processing time of each module has been balanced in order to optimize the productivity.
A graphic terminal and vision system using a charged couple device (CCD) colour camera has been designed and built for the automatic recognition of patterns. Recognition algorithms based on correlation methods have been developed. A special development has been achieved concerning the recognition of complex patterns based on the colouring of certain threads within pattern which are only visible under ultraviolet (UV) lighting.
A nesting methodology has also been studied in order to reduce the preparation time and the number of reference nestings.
IN THE GARMENT INDUSTRY THE CUTTING OF CHECKED AND STRIPED MATERIALS IS A VERY TIME CONSUMING PROCESS. IF QUALITY STANDARDS ARE HIGH, THE ONLY POSSIBILITY IS TO CUT MANUALLY.
THE OBJECTIVE OF THIS PROJECT IS:
- TO DEVELOP VISION SYSTEMS TO IDENTIFY CHECKS AND STRIPES;
- TO COMBINE THESE SYSTEMS WITH A SINGLE-PLY AUTOMATIC CUTTING SYSTEM.
AS A RESULT OF THIS PROJECT, IT WILL BE POSSIBLE TO AUTOMATE THE SYSTEM OF CUTT ING CHECKS AND STRIPES IN THE GARMENT INDUSTRY AND IMPROVE THE QUALITY OF THE C UT PARTS AND CLOTHING.
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 materials engineering colors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences sociology industrial relations automation
- engineering and technology materials engineering textiles
- social sciences economics and business economics production economics productivity
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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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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
28100 Novara
Italy
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.