Fujian Mobile’s “5G﹢AI Quality Inspection” helps the smart upgrading of the textile industry
Recently, Fujian Mobile and Fujian Hanggang Knitting Co., Ltd. jointly established a research team to apply 5G technology, artificial intelligence, and big data to all aspects of cloth production and testing to carry out “non-trimming lace gray fabric” AI Quality inspection application research and development, in the process of gray fabric production and inspection, timely, quickly and accurately detects surface defects, automatically records the location of defects, and assists manual viewing and processing of defect information, thereby promoting the improvement of production processes, saving production costs, and improving product appearance quality.
In recent years, with the rapid development of digital image technology, automatic detection modes based on image processing and recognition have been continuously optimized and updated. Factors such as the wide variety of defects on gray fabrics, the unstable frequency of occurrence, and the small difference in the degree of differentiation of some defects have resulted in the identification effect of some defects not being as good as expected, which requires continuous optimization. How to improve the efficiency of the gray cloth defect detection process, solve problems such as high false detection rate and high missed detection rate, and improve the gray cloth production process has become one of the important factors in improving the quality of gray cloth.
To this end, Fujian Mobile uses front-end equipment such as 5G industrial cameras to quickly collect high-definition visual information of different dimensions of gray fabrics to be inspected in large quantities, and transmits them back to the quality inspection platform at high speed through the 5G dedicated network, and uses the “AI gray fabric defect identification algorithm” ”, which uses a variety of machine vision inspection technologies to mix and support mesh division, FPN multi-scale inspection, etc. It is especially optimized for small-sized targets and can accurately identify small flaws in complex pattern backgrounds. It can provide online high-speed and accurate cloth surface defect detection for 15 common defects in non-trimming lace fabrics, and support automatic inspection and intervention shutdown based on defect grade information and manual processing configuration rules, thus realizing “one person watching over one machine” The transformation from “cloth inspection machine” to “one person, multiple machines” will improve quality inspection efficiency, lower the threshold for cloth inspection workers, save costs for enterprises, and improve productquality.
“5G﹢AI Gray Fabric Quality Inspection” is an important application of AI in the industrial field. It conforms to the development trend of textile industry automation and intelligentization and is used in gray fabric anomaly detection. The speed, accuracy and consistency of detection results better meet the needs of modern large-scale production, and have a strong promotion effect in the same industry. In the next step, Fujian Mobile will continue to cooperate and innovate with Fujian Hanggang Knitting Co., Ltd. to continue to enrich the “5G+smart textile” application scenarios and improve the informatization level of the textile industry.
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