How Does AI Help The Traditional Textile Industry From The Perspective Of "Looking For Cloth Artifacts"

In today's fast fashion era, how long does it take for a piece of cloth to go from design to ready to market? In Guangdong, this answer is being redefined by digital technology. When the traditional textile industry encounters AI, what sparks will it collide with? Starting from a "finding cloth artifact", we will unveil the layers of traditional industrial reform.

　　 "Looking for the cloth artifact" in the cloth market

　　 Reporter Luo Pingzhang: This is the core area of Guangzhou cloth trading market, and also one of the largest textile and garment surface accessories stores in China. Nearly 3000 suppliers and nearly one million kinds of the latest fabric products have attracted many domestic and foreign buyers, designers and buyers to purchase. But the traditional fabric procurement is time-consuming and laborious. Now I hear that they have developed new technologies.

In the market, Xiao Huang, the boss of the post 00s stall, is operating the AI cloth machine to solve customers' needs. When the customer hands over a sample cloth, The lens of the fabric finder can quickly capture texture features, and the system will then lock matching fabrics from millions of stocks Three years ago, such a cloth finding process required visiting dozens of stores and repeatedly checking color cards, which could take a day at the earliest.

　　 Huang Bozhang, fabric dealer: It will shoot automatically, taking 2x and 5x pictures. After finishing the front picture, take the back picture, and then click Search.

On the AI fabric finder, key data such as fabric weight, color number, dye vat number, manufacturer's production line batch, etc. are clearly visible. Xiaohuang told reporters that two years ago, he opened this cloth shop, and the next year he used AI to find cloth machines. With this "artifact", The average time for customers to search for cloth is only 2 minutes, up from 2 days ago 。

　　 Huang Bozhang, fabric dealer: We can get the goods on the same day when we make the declaration.

At present, 90% of the cloth in the domestic textile market has been connected to the cloth finding robot system. From "people looking for cloth" to "data looking for cloth", with the help of AI technology, Xiaohuang's business has become more and more popular, even overseas.

　　 Huang Bozhang, fabric dealer: Since the Spring Festival this year, our customers have increased by 20%~30%.

AI helps fashion design "one hundred models" is not a problem

When a piece of cloth is accurately identified by AI in the Zhongda cloth trading market, its journey has just begun. In a Guangzhou fashion fast reaction base only 3 kilometers away from the cloth market, it used to be difficult to find cloth and slow to revise the clothing design. Now, with the help of AI assistants, it has achieved the goal of "one hundred models in a row".

At nine o'clock in the morning, on the computer screen of clothing designer Ke Ke, more than 100 seasonal clothes generated by AI are being automatically rendered. Three years ago, such a scenario was almost unimaginable. At that time, she could only develop 2-3 styles every day.

　　 Designer Ke Ke: It will take us 5 days to make a version. If we can't make it, we have to reproduce it again, and it will take another 5 days. It is really convenient for us to design by connecting the design with the fabric.

This large fashion model developed by local enterprises, Digitize more than 100 labels such as fabric texture and color shading Let big data become an ocean of inspiration for design.

How can massive downstream demands be translated into precise instructions on the production side? The reporter visited a textile industry Internet platform enterprise in Guangzhou. The digital platform developed by them can monitor the production of 700000 looms nationwide in real time. By providing digital services, enterprises can open up the whole chain of the textile industry from spinning and weaving to design styles to clothing sales, so that digital can accurately connect supply and demand.

　　 Li Yaping, co-founder of Guangzhou Zhijing Information Technology Co., Ltd.: For example, I want to design a dress with what elements. The target price is 200 yuan. The system will select the materials and factories with the corresponding price for you.

Li Yaping told reporters that AI and big data have changed the rules of garment production. Designers upload drawings in the morning, and intelligent factories can schedule production in the morning. With the help of "AI+digitalization", it will be possible to order one piece and deliver it within 7 days in the future 。

　　 Li Yaping, co-founder of Guangzhou Zhijing Information Technology Co., Ltd.: Our future clothing era must belong to personalized customized generative e-commerce, whose overall design cost is more than 10 times lower than the traditional one.

Establish human factors engineering laboratory to provide technical support for the industry

When AI and other new technologies press the accelerator button for fabric trading and clothing design, they also pose new challenges to upstream production. Nanhai Xiqiao is a famous textile town with a textile industry history of more than 150 years, and has formed a textile industry cluster. At present, how can traditional fabric production cope with the challenges of the "fast fashion" era?

This is the latest research and development of a textile enterprise in Xiqiao Town, Nanhai Denim fabric made of paper yarn Technology makes new fabrics more possible. The person in charge of the enterprise told the reporter that, Every year they launch more than 500 new fabrics, and on average, more than one new fabric is launched every day 。

Enterprises developing new fabrics need a professional high-tech laboratory for efficacy testing. For this reason, Xiqiao is the first in China to establish a human factors engineering laboratory to provide textile enterprises with full process technical support from function optimization to market landing for developing new fabrics.

When the reporter visited the laboratory, a volunteer was wearing a sensor to exercise on a treadmill. Electroencephalograph, infrared thermal imager and other equipment are recording various index data of human body in a specific environment and after wearing clothes in real time.

　　 Luo Xianshan, Deputy General Manager of Human Factors Engineering Science Laboratory: As an ordinary consumer, I feel comfortable when I buy this dress. But comfort is a very broad concept. How to define it? How even to evaluate it scientifically and quantitatively? This is what our team is doing. We are equivalent to doing Science and technology broker To play the role of an intermediate bridge to help them do some docking.

　　 The Human Factors Engineering Science Laboratory has passed professional testing to build a platform and bridge for enterprises and markets , helping tens of thousands of new textile fabrics to market every year. At the same time, in order to help enterprises accelerate their digital transformation, the local government held nearly 100 special docking activities this year.

　　 Changjiang Fuchang, deputy town of Xiqiao Town People's Government: Promote the transformation of Xiqiao textile industry and achieve leapfrog development by promoting scientific innovation, strengthening the platform and extending the chain.

(Source: CCTV News)