In the new era, the intelligent textile industry has been the trend of the times. It has become an urgent problem for enterprises to consider how to combine advanced artificial intelligence technology with Internet of Things and apply them to all fields. Based on its abundant technologies in cloud computing, big data, artificial intelligence and some other fields, Baidu opens up an AI platform, which is unconditional and called PaddlePaddle Enterprise Edition EasyDL. The platform has helped textile enterprises to search for fabrics accurately and detect fabrics intelligently. It has played an important role in reducing cost of industrial chain and increasing the efficiency, helping enterprises realize business innovations and intelligence upgrading. 

Digital Upgrading Solves The Key Points Of Searching For Fabrics And Detecting Fabrics In Textile Industry 

Traditional textile enterprises generally rely on manual search in fabric purchasing. Due to the large number of textile enterprises, different descriptions and cognitive standards for fabrics in each enterprise, thus, some problems appear such as slow manual search for fabrics, inaccurate identification of fabrics, and inaccurate price comparison in purchasing fabrics. Meanwhile, there are many participants in the textile industry chain, including gray cloth factories, warehouses, garment factories and dyeing factories. After finding suitable fabrics, the fabrics transfer among these participants and each step will include fabric detection. Due to inconsistent standards for quality inspection and operational process in each step, the testing standards are different and repetition detection appears. 

The technology, provided by EasyDL Unconditional AI Platform, provides fabrics searching function, which helps users get different specifications, names, widths, gram weights, contact information of each supplier, etc. corresponding to the fabrics by taking photos and uploading them with one click; In addition, the intelligent fabric detection unifies the measurement methods, which empowers the machine to evaluate fabrics. Thus the information of all participants in the industrial chain and fabric detection are transferred on the system in the form of picture-text and the whole process of fabrics can be seen by upstream and downstream industry chain. As a result, the value of fabrics can be evaluated more fair and the communication efficiency can be improved.

Sources: Baidu, info.texnet