From the Sector

Baldwin Technology Company Inc. will introduce its range of technologies at Graphics Canada, which will take place at the Toronto International Centre, May 11-13.
 
Solutions to be discussed at Graphics Canada will include corona surface treatment systems, automated cylinder cleaning systems, LED-UV curing, roto-spray systems, and technologies for color management and defect detection.
 
Baldwin’s AMS Spectral UV-brand LED UV technology offers a high curing intensities available for printing. Benefits of LED UV include a 65% reduction in energy consumption, reduced costs related to parts and service, increased productivity and greater effeciency stemming from the lack of waiting for lamps to warm up or cool down
 
In addition, Baldwin is a leading provider of corona surface treatment systems that are used to achieve better adhesion of process liquids like inks and coatings to substrates as part of printing and industrial production processes
 
Rounding out its technology, Baldwin’s cleaning solutions automatically and safely clean cylinders, blankets and plates used in various production processes, and tackle cleaning tasks like hickey-picking, end-of-run plate cleaning, blanket cleaning and film cylinder cleaning.
 
Common to all the technologies is that they increase productivity, reduce waste, improve working conditions and provide full control of producing flawless products. With easy automation and compatible software, Baldwin’s technologies are seamlessly integrated with one another.

SHIMA SEIKI MFG., LTD. of Wakayama, Japan, together with its Hong Kong subsidiary SHIMA SEIKI (HONG KONG) LTD., will participate in the 40th Session of SPINEXPO in Shanghai, China from 12th - 14th April 2023.

At SPINEXPO, SHIMA SEIKI will offer visitors a choice between its "SDS®-ONE APEX4" apparel design system and its "APEXFiz®" subscription-based design software. Whereas SDS®-ONE APEX4 is offered as an all-in-one proprietary hardware + software package, APEXFiz® is subscription-based design software that can be installed on customers' individual computers. Both SDS®-ONE APEX4 and APEXFiz® software support the creative side of fashion from planning and design to colorway evaluation, realistic fabric simulation and 3D virtual sampling. Virtual samples are a digitized version of sample making that are accurate enough to be used effectively as prototypes, replacing physical sampling and consequently reducing time, cost and material that otherwise go to waste. When a design is approved for production, knitting data is automatically generated for converting to machine data, allowing smooth communication for digitally bridging the gap between studio and factory. APEXFiz® thereby helps to realize sustainability while digitally transforming the fashion supply chain.

Also on display at SPINEXPO will be SHIMA SEIKI's "yarnbank®," an online web service for searching and viewing the latest yarns, developed with cooperation from yarn companies from around the world. Registered users can download yarn data for free, for use in fabric simulation and virtual sampling on APEXFiz®, avoiding the need to scan yarn on their own. By using yarn that is used in actual production, designers and apparel companies can furthermore rest assured that the simulations created using yarn from yarnbank® are not merely realistic images but accurate representations using yarn that can actually be purchased and used in production. With yarnbank®, the entire supply chain from yarn companies and apparel companies to knit manufacturers can be connected digitally.

SHIMA SEIKI will also display the latest collection of its knit samples, including WHOLEGARMENT® knitwear that is knit in its entirety on the machine without the need for linking or sewing afterward. Together with virtual sampling performed on APEXFiz®, WHOLEGARMENT® offers smart production for realizing a sustainable fashion supply chain.

SHIMA SEIKI ITALIA S.p.A., Italian subsidiary of leading Japanese computerized knitting solutions provider SHIMA SEIKI MFG., LTD., will exhibit at the 92nd edition of the Pitti Immagine Filati exhibition in Florence, Italy. Products exhibited will include the new SWG-XR®154 and N.SVR®183 computerized flat knitting machines as well as APEXFiz® design software.

As pioneer of seam-free WHOLEGARMENT® knitting, SHIMA SEIKI has been setting the standard almost exclusively with nearly 30 years of experience in complete garment technology. Now that benchmark has been raised once again with its new SWG-XR® flagship WHOLEGARMENT® knitting machine. SWG-XR® features 4 needle beds for all-needle knitting of high quality WHOLEGARMENT® products using the company's original SlideNeedle®. SWG-XR® features a renewed sinker system and a compact, light-weight carriage featuring 4 systems as well as auto yarn carriers. All contribute to increased productivity of more than 25% over the previous MACH2®XS machine, as well as increased product range using a wider variety of yarn for supporting knits for all seasons, and higher quality for knitting beautiful fabrics and silhouettes; even items that were impossible to knit with the MACH2® series. SWG-XR® sets new standards for the next generation of waste-free, sustainable WHOLEGARMENT® knitting.

A new proposal in WHOLEGARMENT® knitting will also be introduced in the form of the N.SVR®183 WHOLEGARMENT® knitting machine. SHIMA SEIKI's global standard in shaped knitting, the N.SVR® series now features a model for producing WHOLEGARMENT® knitwear using every other needle in ultrafine gauge. N.SVR®183 is equipped with the R2CARRIAGE® system and a compact, lightweight carriage for even higher productivity. Shown in 21G at Pitti Filati 92, N.SVR®183 is the ideal machine for flexible, entry-level WHOLEGARMENT® production, with the versatility to respond to fluctuating market demand.

APEXFiz® subscription-based design software supports the creative side of fashion from planning and design to colorway evaluation, realistic fabric simulation and 3D virtual sampling. Virtual samples are a digitized version of sample making that are accurate enough to be used effectively as prototypes, replacing physical sampling and consequently reducing time, cost and material that otherwise go to waste. APEXFiz® thereby helps to realize sustainability and digitally transform the fashion supply chain.

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.

• Lectra extends its software offer to material traceability

Lectra announces the signature of an agreement to acquire 51% of the capital and voting rights of the Dutch company TextileGenesis. As a major player in the fashion, automotive, and furniture markets, Lectra contributes with boldness and passion to the Industry 4.0 revolution by providing software, equipment, data, and services to brands, manufacturers, and retailers.

Founded in 2018, TextileGenesis provides a Software as a Service (SaaS) platform that enables fashion brands and sustainable textile manufacturers to ensure a reliable, secure and fully digital mapping of their textiles, from the fiber to the consumer, and thereby guarantee their authenticity and origins. This solution ensures the traceability of TextileGenesis’ customers' entire sustainable textile supply chain in order to meet the demands for transparency, driven by changes in legislation in a growing number of countries and by growing consumer awareness, thereby encouraging sustainable development.  

Its innovative traceability mechanism, which addresses both ends of the textile value chain, as well as its network of partners for material certification, and its technology platform guarantee the exchange and tracking of reliable and secure data throughout a material's life cycle.

Several of the world's most prestigious fashion brands as well as leading sustainable fiber producers are already convinced of the value of TextileGenesis' innovative offer, which enables the connection of multiple actors of the sustainable fashion ecosystem on this platform.

At the beginning of January, Lectra will acquire 51% of TextileGenesis for 15.2 million euros. The acquisition of the remaining share capital and voting rights is expected to take place in two stages, in 2026 and 2028, for an amount that will be calculated based on a multiple of the 2025 and 2027 recurring revenues.

The identification of profitable new niche markets has been central to the success and continuous expansion of Germany’s Dolinschek, a leading knitting, dyeing and finishing specialist, located in Burladingen in Baden-Württemberg.

“There is so much more to textiles than just clothing,” says Theo Dolinschek, who runs the company with his brother Erwin. “We handle many different technical materials such as automotive components, geotextiles and wallcoverings, but also those for more unusual applications such as inlays for extractor hoods, cut protection fabrics and even wool felts which are employed as insulation on wind turbines.

“We have also recently started to produce compression stockings in a variety of colours, because not everyone wants them black, beige or skin coloured. The most important product areas for us now are in sportswear, corsetry and lingerie, as well as orthopedic and medical products, workwear and protective clothing, but in addition, many other technical applications.”

The Dolinschek brothers moved their business to the historic site of the former Ambrosius Heim textile company in Burladingen in 2001 in order to expand. At the time, the company – founded by their father in 1980 as a textile wholesaler before moving into dyeing – employed just 13 people. Within a year, the company had bought additional space at the site.

Now, with Theo in charge of technology and sales, and Erwin responsible for production, the company employs almost 100 people and operates on an integrated site of 35,000 square metres.

In 2005, a laminating department was established by the company and since 2012 investment in knitting machines has been ongoing.

“The further we went into vertical integration, the more of our own products we were able to position on the market and so we were also able to make ourselves more independent,” says Theo. “We have continued to develop and today we can produce high-quality fabrics for many fields, with 42 knitting machines, 36 dyeing machines, three stenter frames and many other production and processing machines.”

Dolinschek has also developed its own proprietary TMG dyeing machines which have subsequently been successfully sold to many other companies all over the world. There are currently 11 of these machines  in operation at the Burladingen site and around 45 installed at other companies.

For finishing technology, however, the company relies on Monforts, and has installed a new seven chamber Montex TwinAir stenter range with a Montex®Coat coating unit in knife execution, enabling the coating of dimensionally stable knitted fabrics with polyurethane or acrylate. Another unique feature is the Teflon-coated (non-stick) transportation belt through the system.

The Montex line is also equipped with integrated heat recovery and exhaust gas purification to ensure the most resource-efficient processing available on the market. The exhaust air goes from the Monforts heat recovery system into an existing air/water heat recovery system and then into an electrostatic precipitator.

Highly-intuitive Monforts Qualitex visualisation software allows all machine functions and process parameters to be assessed and controlled easily.

Contentstack, ein Anbieter von Content Experience Platforms (CXP), gibt bekannt, dass die gleichnamige CMS-Softwareplattform ab sofort die Basis für den Online-Auftritt der Modemarken des globalen Bekleidungskonzerns PVH Europe ist. Contentstack wurde im Rahmen einer digitalen Transformationsinitiative ausgewählt und wird ab sofort Benutzern der Oberfläche moderne Omnichannel-Erlebnisse über eine MACH-basierte Lösung bieten. PVH Europe beherbergt unter anderem den globalen Hauptsitz von Tommy Hilfiger und die europäischen Niederlassungen von Calvin Klein.

Die Plattform ermöglicht E-Commerce-Content-Spezialisten, Standortförderungs-, SEO/SEM-Experten und technischen Stakeholdern bei PVH Europe, die Zeit bis zur Markteinführung neuer digitale Inhalte entscheidend zu verkürzen. Dies resultiert in gesteigerten Umsätzen, während gleichzeitig konsistente Omnichannel-Interaktionen gewährleistet werden.

Nach einer gründlichen Marktanalyse im Rahmen von Content-Management-Systemen fiel die Wahl des Modekonzerns auf Contentstack. Hintergrund waren die Plattform-bedingten schnellen und zuverlässigen Arbeitsabläufe, die verkürzte Time-to-Market und flexible Bearbeitungsmöglichkeiten für digitale Inhalte. Die intuitive Benutzeroberfläche, die Möglichkeit, neue Länder mit reibungsloser Sprachlokalisierung hinzuzufügen, und das branchenführende Supportprogramm Care Without Compromise™ von Contentstack waren ebenfalls wichtige Faktoren.

IDTechEx report: Wearable Sensors 2023-2033

Overall, this report provides insight into how wearable sensors could be integrated into society long term - the technology underpinning value within the trend towards 'the quantified self'. The main drivers for growth identified are digital health and remote patient monitoring, extended reality, and the metaverse and performance analytics of athletes and sports people.

More people than ever before are turning to wearable sensors to monitor their activity levels. Despite its origin in simple step counting, the market for wearable sensors is expanding into the more complex arena of health monitoring. Innovations in wearable sensor technology are expanding the envelope of biometrics accessible through watches and skin patches, addressing the rising demand for remote patient monitoring and decentralized clinical trials but also increasing consumer expectations. This includes easier access to health data, and extends further to sensor integration into headsets and accessories for immersive AR/VR experiences.
 
Motion sensors finding applications beyond step counting
Motion sensing hardware is well established, with accelerometers integrated into almost every wearable. Therefore, as profit margins for manufacturers diminish with commoditization, expanding the application space is crucial to maintain growth. This report provides an outlook for emerging use cases such as health insurance rewards, clinical trials, and professional athlete monitoring.
 
Optical sensors seeking to go further than heart-rate detection
Smart-watch wearers are familiar with the red and green lights on the back of their devices, used to obtain heart-rate data or blood oxygen and further analyzed for insights into calorie burn, VO2 max, and sleep quality.
Sensor developers are interested in pushing the boundaries of what can be measured non-invasively with light - whether it be through new software to analyze photoplethysmography (PPG) signals or new hardware for spectroscopy. Multiple companies are competing to lead in the commercialization of wearable blood pressure, with others setting their sights on ambitious 'clinic on the wrist' devices to replace common hospital tests and even glucose monitoring. This report appraises the potential for optical sensors, and overviews challenges for calibration requirements and regulatory approval.
 
Monitoring of the heart, muscle, and brain
Incorporating conductive materials into wearable technology is a simple concept. However, it has led to a vast variety of wearables sensors including wet electrodes stuck on the skin to measure the heart, dry electrodes in headphones to analyze brain signals, and microneedles within skin patches to quantify muscle movements. As such, this also creates a broad application space for electrodes ranging from vital sign monitoring and sleep analysis for healthcare, to emotional response and stress monitoring for marketing and productivity. This report dedicates a section to the four key categories of electrodes: wet, dry, microneedle, and electronic skin. This includes a summary of key material and manufacturing requirements.
 
Wearable sensors are fundamental to continuous monitoring of health, fitness, and wellness. As applications for wearable technology grow, there are increasing opportunities for sensors that detect parameters ranging from glucose levels to pressure and from motion to temperature. Based on a decade of market research on wearable technology hardware, this report analyses the technological and commercial landscape of this growing industry, both today and into the future. IDTechEx's research in wearables tracks the progress of over 50 wearable electronic product types. Within each of these products, a key focus of the research has been understanding and characterizing the prevalence of sensor types integrated into each.

Mimaki announce their third Global Innovation Days (19th – 21st October 2022). This collaborative virtual experience unites Mimaki’s regional offices to discuss trends across the different markets and the American, Asian, and European regions operated in by Mimaki, through a series of live and pre-recorded demonstrations, webinars, and round-table discussions. The programme of events will be led by experts from Mimaki Europe, Japan, USA and Australia.

With a focus on addressing the queries and requirements across the many facets of the print industry, the event will see collaborations with the likes of FESPA, from whom spokespeople will be attending to discuss the latest trends and innovations identified at FESPA this year, as well as a look ahead to next year’s event and what people can expect to see.

Attendees will also have the opportunity to further explore the latest additions to Mimaki’s product portfolio, with demonstrations of the technologies and the applications that they are able to create coming live from the Mimaki showroom in Amsterdam. The 330 series, including the JV330-160, CJV330-160 and TS330-1600, will be showcased, as well as the full-colour capabilities of the 3DUJ-2207 3D printer, and Mimaki’s latest flatbed printer, the JFX600-2513, which boasts speeds thrice superior to that of its predecessor. Another highlight of the event will be a discussion held with leading print media and software vendors, to examine the current market trends from outside of the manufacturing perspective.

A new fabric inspection technique for accurately detecting the most subtle of defects on patterned fabrics during high speed production has been developed by BTMA member Shelton Vision, of Leicester, UK.

The patent-pending system has been integrated into the company’s WebSpector platform and validated through factory trials on a purpose-built full scale in-house demonstration system with sophisticated fabric transport capabilities. As a result, a first system has already been ordered by a manufacturer of both plain and patterned fabrics, including camouflage, in Colombia. This follows the successful conclusion of a 21-month Innovate UK project in which techniques for the resolution of complex pattern deformations were developed by machine vision and computer scientists in the company, backed up by the machine vision and robotics department at Loughborough University.

Restrictions
Traditional methods for defect detection rely on human inspection which is ineffective, with detection rates under 65%, while the Shelton WebSpector machine vision system offers a sophisticated platform for automated defect detection of over 97%, but until now has been restricted to plain textiles.

While pattern matching and neural network approaches have previously been tried for patterned textiles, they have failed to provide a practical solution due to the extreme complexity associated with pattern matching on deformable substrates like textiles, as well as the time required to train a neural network for each pattern type.

Challenges
The challenge is that fabrics are not rigid and can be creased or stretched and are also subject to local distortion,” says Shelton Vision Managing Director and CEO Mark Shelton. “As a result, inspection without the technique we have developed, would lead to thousands of false positives. Our sophisticated pattern inspection software techniques ensure a clean image, allowing the detection of faults on fabrics running at speeds of up to a hundred metres a minute.”

The full system consists of:

• A camera and lighting system for optimum image capture at high speed and associated image processing hardware.
• Self-training software utilising statistical analysis to automate the system configuration for new textile products.
• An advanced suite of defect detection algorithms for the detection of all textile defect types.
• An AI-driven defect classification system which learns and automates defect naming in real time, as well as a real time defect grading capability based on client decision rules.
• A system for recording and retrieving complete roll map images for subsequent review and quality control.

The generation of textile roll maps with complete defect data allows for an optimised textile cut plan, improved downstream processing and quality assurance.