1月12日，连云港高新区举行高新基金投资项目签约仪式，奥提赞光晶、启扬光学等6个具备前沿科技属 性与高成长性的优质科创项目正式落地。此次签约精准聚焦显示技术、商业航天、工业视觉等战略性新 兴产业关键领域，是园区践行创新驱动发展战略、加快培育新质生产力的具体举措，标志着其在构建现 代化产业体系、打造高能级产业集群上迈出坚实一步。 校对潘政 据悉，此次签约的6个项目深度契合"投早、投小、投长期、投硬科技"理念，与连云港高新区产业发展 布局高度匹配，重点聚焦关键技术突破与未来产业布局。项目落地后，将集中推进体全息光波导、红外 载荷、工业视觉检测系统等前沿技术产业化应用，既推动园区产业链向高端化、数字化、绿色化升级， 也将强化区域在光电信息、高端装备、航空航天等优势领域的集群效应，为新质生产力培育提供有力支 撑。 通讯员徐欢辛玲扬子晚报/紫牛新闻记者张凌飞 座谈交流中，6家企业负责人均表示，连云港高新区扎实的产业基础、浓厚的创新氛围和高效的服务机 制，为科技成果转化和项目快速落地提供了全周期、全链条优质生态。未来将以此次签约为契机，加速 推进技术产业化与市场拓展，与园区携手塑造区域产业竞争新优势，助力经济高质量发展。 ...

Core Viewpoint - The recent China Quality (Nanjing) Conference emphasized the need for technological empowerment to stimulate quality transformation, advocating for the application of AI and big data in quality governance throughout the entire product lifecycle [1][2]. Group 1: Quality Governance Transformation - Traditional quality supervision relies heavily on manual inspections and self-checks by companies, which have limited coverage and delayed feedback, often only addressing issues post-factum [1]. - The increasing prevalence of high-tech products like electric vehicles and smart home appliances has rendered traditional quality supervision methods inadequate, necessitating a shift towards proactive prevention rather than reactive accountability [1]. Group 2: Technological Applications - AI modeling and simulation can predict potential defects before mass production, reducing development errors and rework rates [2]. - Industrial internet and smart sensors enable real-time monitoring and automatic detection on production lines, significantly decreasing defect rates and systemic risks [2]. - AI algorithms can analyze user data and fault logs during the after-sales and recall phases, allowing for more precise and efficient recalls by quickly identifying high-risk batches [2]. Group 3: Industry Impact and Market Potential - The introduction of industrial visual inspection systems has led to an average savings of about 42% in manual quality inspection costs, with defect identification accuracy improving to 99.5% [2]. - The industrial AI quality inspection market in China is projected to approach $958 million by 2025, indicating significant growth potential [2]. - The push for AI in quality inspection is expected to enhance inspection efficiency and governance levels, supporting the construction of a quality-driven economy [2][3]. Group 4: Policy and Market Expansion - The market for industrial internet platforms, AI detection devices, and quality big data service providers is expected to continue expanding under policy-driven initiatives [3]. - The digitalization of quality certification and the establishment of enterprise quality credit archives are key components of the government's strategy to enhance quality governance [2].