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"Since the pilot program began, 100% online inspection of fabrics has been achieved. The number of machines monitored has increased from one person to two to four. The total length of defects has decreased from 300 meters per 10,000 meters to 120 meters, and the number of defects detected has increased from 10 per 100 meters manually to 40 per 100 meters by AI." The 5G+warp knitting lace defect AI visual recognition and detection system, jointly developed by Xi'an Huode, Huawei Technologies, Donglong Company, China Mobile, and Huansi, has achieved phased results after nine months of continuous testing and is now ready for large-scale application in the next stage.

This yearIn January, Fujian Donglong Knitting & Textile Co., Ltd., in partnership with China Mobile, held a launch meeting for the 5G+ Warp Knitting Lace Defect AI Visual Recognition and Detection Project and the Digital Transformation of SMEs. Representatives from the Fujian Provincial Department of Industry and Information Technology, the Fuzhou Municipal Bureau of Industry and Information Technology, the Changle District Government, the Changle District Bureau of Industry and Information Technology, project partners including Fujian Mobile, Huawei, Hode, and Huansi, as well as relevant experts, attended the meeting. The launch meeting garnered widespread attention and was reported by media outlets such as People's Daily Online, Fuzhou Daily, Fuzhou Daily Southeast Network, and Fuzhou TV.

Currently, traditional textile companies still rely mainly on manual inspection for product defects. The warp-knitted lace industry is a product sub-segment of the industry. In the traditional production process, due to the delicate and complex nature of the patterned yarns, it is difficult to detect defects in the greige fabric weaving stage in the first place, resulting in a high rate of missed inspections and unstable product quality for most companies.

Xi'an Huode, leveraging over ten years of experience in digital image processing, has successfully developed in collaboration with Huawei.A 5G+ AI visual recognition and detection system for warp-knitted lace defects. During the lace fabric production process, this system overcomes the impact of the warp knitting machine on image acquisition quality through mechanical, photoelectric, and image preprocessing methods, capturing high-fidelity, high-definition images of the lace fabric. The image acquisition equipment employs a high-speed movement scheme, capable of meeting a weaving speed of 1 meter per minute, while also reducing overall equipment costs, resulting in a significant return on investment for the customer. Once the system is deployed on a large scale, it is estimated to reduce labor costs by 2 million yuan annually, and the reduction in defective products due to quality improvements will save over 3 million yuan annually in quality-related costs.

The next step will beThe AI ??online inspection system will be integrated with Donglong Company's existing T9 information management system to achieve data sharing and collaborative work in production, further promoting Donglong's digital transformation. In the future, through the large-scale application of 5G+ AI visual recognition and inspection technology for warp-knitted lace defects, product quality will be significantly improved, and production efficiency will be greatly increased. This initiative not only enhances Donglong Company's economic benefits and market competitiveness but also provides valuable lessons and references for technological innovation and digital transformation and upgrading across the entire textile industry. All parties will actively promote interactive exchanges, enhance mutual trust and cooperation, and jointly advance the information-based, digital, and intelligent transformation and upgrading of the textile industry.