recently,A delegation of leaders from the Fujian Provincial Department of Industry and Information Technology, the Fuzhou Municipal Bureau of Industry and Information Technology, the Fuzhou Branch of Industrial Bank, and the Changle District Government visited Donglong Enterprise to conduct research on the "5G+Warp Knitting Lace Defect AI Visual Recognition and Detection System".The delegation of leaders attended the project symposium and visited the intelligent weaving workshop. They listened to a detailed introduction by Lin Chaowang, General Manager of Donglong Company, on the operating principle, technical advantages, and application effects of the "5G+Warp Knitting Lace Defect AI Visual Recognition Detection System". The two sides conducted in-depth discussions and exchanges on issues such as the future planning and practical application of the system.


During the on-site inspection of the fabric, leaders from the Provincial Department of Industry and Information Technology had cordial exchanges with frontline staff, learned in detail about their work after the implementation of the AI ??visual recognition and inspection system, and highly affirmed the significant results achieved in reducing costs, increasing efficiency, and improving quality after the system's implementation.The hardware equipment for the testing system developed and designed by Xi'an Huode was also highly praised. The introduction of this technology has not only improved the company's production capacity, but also brought new development opportunities to the entire industry.
At the same time, the leaders also encouraged Donglong Company and the project team to continue to strengthen technological research and development and equipment investment, further promote intelligent transformation, and replicate and promote the system to lead more enterprises to achieve high-quality development. They also stated that the government will provide strong support to promote the application of the visual inspection system for lace and fabric in the industry.
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