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AI Overcome The "Bottleneck" Problem Of Textile Industry

2019/12/4 10:52:00 0

AITextile IndustryNeck And NeckProblems

Yesterday, sponsored by the Guangdong Provincial People's government and Alibaba group, the Guangdong provincial industrial and information office, Guangzhou Municipal People's government, Foshan Municipal People's government and Ali cloud computing Co., Ltd. hosted the "Guangdong big data Developer Conference and 2019 Ali cloud summit Guangdong" held in Guangzhou.

Reporters learned that China is the largest producer of textiles and clothing in the world. However, it is hardly known that the quality inspection process of the "cloth lifeline" is equivalent to the quality inspection process of the "fabric lifeline", which has been in the spinning shop for 24 hours, and has become a bottleneck for many years because of its high standard accuracy and speed.

At the summit, Guangdong industrial intelligence innovation competition, jointly organized by the Guangdong provincial government and Ali cloud, brought more than 3000 top AI talents from well-known universities and enterprises at home and abroad to challenge the textile industry's "necking" problem. The competition first provided the industry's first open high quality fabric defect data set, and developers used the deep learning method to design a special defect detection algorithm model. The overall accuracy rate was over 91%, which is undoubtedly a great breakthrough for the intelligent upgrading of textile industry. In addition, in the field of cloth cutting competition, a large number of excellent research results have emerged, and the average utilization rate of fabrics has increased by 2.21%.

The textile and garment industry is only a microcosm of Guangdong's "digital infrastructure" for new manufacturing. Made in China, looking at Guangdong and heading for a new era, the industrial Internet is the "digital infrastructure" created by industry intelligence. Cloud computing, Internet of things and AI have become new engines of Guangdong's manufacturing development. Alibaba Group official said, "we hope to help the factory turn from the original single point to the whole industry chain, the full value chain and the integration of all elements, and turn it into a digitalized and intelligent factory and bring intelligence to industrial products."

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