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Archroma and swatchbook collaborate to deliver digital colors to fashion designers Photo: Archroma
07.07.2023

Archroma and swatchbook collaborate to deliver digital colors to fashion designers

Archroma is bringing the entire portfolio of 5,760 Archroma Color Atlas colors to swatchbook, a platform for material digitalization and sourcing.

The new partnership provides fashion, apparel and textile designers and manufacturers with an elevated standard for color accuracy that meets the needs of today’s increasingly technology-driven and integrated supply chain. This will help the textile and fashion community to improve sustainability, whilst lowering costs and shortening turnaround times.

The Color Atlas by Archroma® was launched in 2016 to provide fashion designers and stylists with off-the-shelf color inspiration that can be implemented in production with just a few clicks.

Designers will use the 5,760 Archroma Color Atlas colors on swatchbook to rapidly develop accurate digital colorways and visualize their final product. They can then share these digital swatches with their manufacturing partners, providing access to the swatchbook metadata, which can include information such as the materials’ composition, weight and color.

Archroma is bringing the entire portfolio of 5,760 Archroma Color Atlas colors to swatchbook, a platform for material digitalization and sourcing.

The new partnership provides fashion, apparel and textile designers and manufacturers with an elevated standard for color accuracy that meets the needs of today’s increasingly technology-driven and integrated supply chain. This will help the textile and fashion community to improve sustainability, whilst lowering costs and shortening turnaround times.

The Color Atlas by Archroma® was launched in 2016 to provide fashion designers and stylists with off-the-shelf color inspiration that can be implemented in production with just a few clicks.

Designers will use the 5,760 Archroma Color Atlas colors on swatchbook to rapidly develop accurate digital colorways and visualize their final product. They can then share these digital swatches with their manufacturing partners, providing access to the swatchbook metadata, which can include information such as the materials’ composition, weight and color.

This will streamline the overall design and production process for color-critical fashion and textile products, allowing for faster turnaround. Digital materials supported by trusted coloration technology also reduce the need for samples and eliminate physical swatchbooks, bringing environmental benefits and lower costs to brands and suppliers.

All 5,760 Color Atlas by Archroma® colors are now available free of charge to subscribers on the swatchbook platform.

09.01.2023

Shelton Vision AI: Tailored machine learning solutions for the textiles industry

Over the past three years, a dedicated AI development team at BTMA member Shelton Vision has been developing tailored machine learning solutions for the textiles industry.

The aim has been to elevate the detection process and the accuracy of naming and grading subtle defects in textiles, in real time within production environments.

“Big Data ‘off-the-shelf’ systems such as those behind technolgies like facial recognition and Google Maps involve reading many thousands of single images each second and simply take too long to accumulate sufficient data for what’s required in this specific case,” says Shelton Vision CEO and Managing Director Mark Shelton. “A feature of the textile industry is that in many sectors, the product range changes several times within a year and it is not uncommon to have to inspect hundreds, if not thousands of different styles in a year based on precise settings.”

In terms of defect types, he adds, there may typically be over 100 that need to be accurately detected, classified (named) and graded in real time.

Over the past three years, a dedicated AI development team at BTMA member Shelton Vision has been developing tailored machine learning solutions for the textiles industry.

The aim has been to elevate the detection process and the accuracy of naming and grading subtle defects in textiles, in real time within production environments.

“Big Data ‘off-the-shelf’ systems such as those behind technolgies like facial recognition and Google Maps involve reading many thousands of single images each second and simply take too long to accumulate sufficient data for what’s required in this specific case,” says Shelton Vision CEO and Managing Director Mark Shelton. “A feature of the textile industry is that in many sectors, the product range changes several times within a year and it is not uncommon to have to inspect hundreds, if not thousands of different styles in a year based on precise settings.”

In terms of defect types, he adds, there may typically be over 100 that need to be accurately detected, classified (named) and graded in real time.

“Added to this is the need to ‘filter out’ the random occurrence of ‘non defects’, such as loose threads, lint and dust on the surface – the number of which can be higher than actual defects – and it is clear that a bespoke system is required.”
The development team has consequently established metadata for identifying defect properties, enabling the successful identification of faults from a much smaller number of images.

“The system employs a unique combination of machine learning for automated style training and novel algorithms for defect detection, to provide high quality images for the AI real time defect classification and grading software,” Shelton explains. “Due to the inherent variation in fabric features – raw materials, construction, texture, colour and finishes, as well as the differing product quality standards in value chains and the regional variations in what defects are called – our AI engine uses models built for each individual company or group of companies, or product value chain.”

The AI models are constructed so that the user operatives can populate them with their own data produced by the vision system or by obtaining defect images from another imaging source (eg a mobile phone camera).  

The occurrence of defects is sporadic and many defect types occur infrequently, although when they do, they can have severe consequences. These scenarios re-enforce the need for the AI engine to be quickly set up and able to operate accurately with limited data sets of typically between 30 and 50 good quality images per defect type.

A further feature is a tool enabling the user to periodically ‘clean up’ the AI data during the set up phase. This is used to resolve conflicting data and to correct mis-named images.

Generally, the highest cost component of fabric production is the raw material and in addition to finished product inspection, a cost effective use for vision systems is in process operation.

Generally, the highest cost component of fabric production is the raw material and in addition to finished product inspection, a cost effective use for vision systems is in process operation.

“There is a need for the real time detection of defects that are being created in separate processes, such as printing or coating and for real time automated systems that can accurately determine the defects and their severity and provide a reliable signal for an operative to rectify the issue, This can result in considerable savings.

Prior to Shelton introducing powerful customised machine vision and real time defect classification, the only systems available were those that required manual sifting through vast numbers of images, which included both real defects and ‘non defect’ images. The task was very often overwhelming and did not provide much benefit beyond manual fabric inspection.

More information:
Shelton Vision fabric inspection
Source:

AWOL for British Textile Machinery Association (BTMA)

19.01.2022

Zünd at JEC World 2022

  • Smart Workflows for Digital Cutting & Kitting

At JEC World 2022 in Paris, Zünd presents the latest developments in modular cutting solutions for composites. Known for its expertise in digital cutting and workflow integration.
As specialist in digital cutting for composites applications, Zünd demonstrates how data management, digital cutting, and downstream processes such as picking, sorting, and kitting, can be automated intelligently and based on specific needs.

In Industry 4.0 in general and processing composites in particular, an unencumbered flow of data is key to workflow efficiency. With Zünd PreCut Center, the user is well equipped to handle the challenges of demanding manufacturing processes. The software automatically optimizes contours and adjusts cut paths depending on the material and choice of tools. With the integrated nesting function, parts are laid out automatically for optimal material utilization. Considering the high cost of materials, maximum yield is essential for economical digital cutting.

  • Smart Workflows for Digital Cutting & Kitting

At JEC World 2022 in Paris, Zünd presents the latest developments in modular cutting solutions for composites. Known for its expertise in digital cutting and workflow integration.
As specialist in digital cutting for composites applications, Zünd demonstrates how data management, digital cutting, and downstream processes such as picking, sorting, and kitting, can be automated intelligently and based on specific needs.

In Industry 4.0 in general and processing composites in particular, an unencumbered flow of data is key to workflow efficiency. With Zünd PreCut Center, the user is well equipped to handle the challenges of demanding manufacturing processes. The software automatically optimizes contours and adjusts cut paths depending on the material and choice of tools. With the integrated nesting function, parts are laid out automatically for optimal material utilization. Considering the high cost of materials, maximum yield is essential for economical digital cutting.

With Pick&Place, Zünd presents a cost-effective solution for fully automated picking and kitting of cut parts. The Pick&Place interface enables direct communication with the robot via Zünd Cut Center – ZCC, the Zünd operating software and user interface. Pick&Place makes it possible to completely automate parts removal, kitting and placing. The necessary parameters are derived from the metadata supplied with the job order.

Source:

Zünd Systemtechnik AG

DyStar resigns from ETAD and joined TEGEWA
DyStar resigns from ETAD and joined TEGEWA
17.02.2020

DyStar resigns from ETAD and joined TEGEWA

DyStar, a leading specialty chemical company with a heritage of more than a century in product development and innovation has resigned from Ecological and Toxicological Association of Dyes and Organic Pigments Manufacturers (ETAD) and joined TEGEWA as a member since January 2020.

Despite being one of the major sponsors and supporters of ETAD for many years, DyStar had to make this decision in response to the new industry challenges. The executive decision to leave ETAD and join TEGEWA was made after careful considerations on current global business needs, market demands and customers’ requirements. In conclusion, DyStar decided to work with an organization that can better represent and effectively support the Chemical Industry in a fast and challenging environment, and at the same time, provide essential support to the Textile Chemical Producers, the Brands and Retailers, among other stakeholders in the worldwide supply chain.

DyStar, a leading specialty chemical company with a heritage of more than a century in product development and innovation has resigned from Ecological and Toxicological Association of Dyes and Organic Pigments Manufacturers (ETAD) and joined TEGEWA as a member since January 2020.

Despite being one of the major sponsors and supporters of ETAD for many years, DyStar had to make this decision in response to the new industry challenges. The executive decision to leave ETAD and join TEGEWA was made after careful considerations on current global business needs, market demands and customers’ requirements. In conclusion, DyStar decided to work with an organization that can better represent and effectively support the Chemical Industry in a fast and challenging environment, and at the same time, provide essential support to the Textile Chemical Producers, the Brands and Retailers, among other stakeholders in the worldwide supply chain.

TEGEWA, being a sector association within the German Chemical Industry Association (VCI), is also actively involved in the work of VCI. The association has over 100 members and represents manufacturers of chemical substances and mixtures, such as surfactants, textile, paper and leather auxiliaries, colorants, cosmetic raw materials, antimicrobial agents, polymeric flocculants and allied products.

TEGEWA has also deeply engaged with DyStar and its partners of GCIRT on many meaningful discussions for the industry, such as communications with the ZDHC Organisation.

Fanny Vermandel, Vice President, Global Marketing Coloration at DyStar said, “At DyStar, we are customer-focused. We find TEGEWA a good fit and appreciate their diverse network. Most importantly, we are delighted to learn that TEGEWA works with many organizations such as IVTG and t+m, Brands and Retailers and other stakeholders in the worldwide supply chain.”

More information:
DyStar TEGEWA ETAD
Source:

DyStar