Core Insights - The textile industry in Hai'an is undergoing a digital transformation through a pilot project that integrates AI visual inspection systems with process control systems to enhance quality management [1] Group 1: Project Overview - The pilot project, initiated by the Hai'an Market Supervision Administration in collaboration with leading companies, aims to address inefficiencies in traditional manual inspection methods in the textile sector [1] - The project is set to officially launch by the end of May 2025, focusing on creating a "Internet of Things + Machine Vision" technology integration system [1] Group 2: Challenges in Traditional Inspection - A local textile company faced significant challenges with manual inspection, including an accuracy rate of only 50%-60% and a defect rate of 8%, leading to high rework costs and material waste [1] - The inefficiencies in manual inspection processes hindered the company's ability to reduce costs and improve quality, impacting its market expansion efforts [1] Group 3: Implementation of AI Technology - The company invested 190,000 yuan to introduce an AI smart inspection machine, which replaced the traditional manual inspection model [2] - The AI system utilizes high-definition industrial cameras and algorithms to detect fabric defects and production anomalies, generating real-time inspection reports [2] Group 4: Results and Benefits - Initial trials showed a significant improvement in quality control, with inspection accuracy rising to over 95% and efficiency exceeding twice that of manual processes [2] - The company reported annual cost savings of nearly 100,000 yuan, a reduction in defect rates from 8% to 1.2%, and enhanced product quality stability, which supports its goals of cost reduction, quality improvement, and digital transformation [2]