Core Viewpoint - The launch of the "Xinghan AI" high-precision photovoltaic cell detection system by Wuhan Aijiang Technology Co., Ltd. marks a significant advancement in the domestic photovoltaic battery multi-modal intelligent detection field, combining machine vision and artificial intelligence to enhance detection efficiency and reduce costs [1][4]. Group 1: Technology and Innovation - "Xinghan AI" is the first intelligent detection model in China that covers various photovoltaic cell products, including crystalline silicon and perovskite stacked cells, significantly improving detection efficiency and reducing costs for enterprises [1][4]. - The system can autonomously identify microscopic defects such as edge pinholes, achieving a defect recognition accuracy of 98.7% and increasing detection efficiency by over 12 times [4][6]. - The technology has been granted a national invention patent and has established a comprehensive intelligent detection system for optoelectronic materials with full-spectrum response characteristics [4][6]. Group 2: Market Impact and Applications - The "Xinghan AI" detection system has been successfully applied in six major fields, including flexible photovoltaic components and Micro-LED display panels, leading to a 40% reduction in detection costs for the photovoltaic industry [4][6]. - The system addresses common industry challenges such as low detection precision and efficiency, and incomplete data, thereby gaining recognition from leading photovoltaic component manufacturers and research institutions [6][7]. - The perovskite solar cell sector is identified as a key focus for the renewable energy industry, with the potential to create a new trillion-yuan market due to its high efficiency, low cost, and flexibility [6][7]. Group 3: Company Growth and Industry Position - Aijiang Technology has experienced over 200% growth in the past year, with ongoing business expansion attributed to nearly a decade of industry experience [7]. - The company has established a competitive team and has developed a comprehensive detection system covering crystalline silicon, perovskite, and aerospace battery detection, contributing to the formulation of multiple international and national standards [6][7]. - Wuhan is emerging as a hub for perovskite battery innovation, with several notable companies and research institutions contributing to the development of a robust industry chain in this field [7].

当前我国在制造业检测领域仍存在技术基础薄弱、高端供给不足等问题，成为制造业发展的关键短板。 智能检测装备作为"工业之眼"与"质量大脑"，承担着质量管控的关键职责，智能检测装备发展水平的高 低很大程度上决定了产业技术水平和制造质量。 全国智能检测装备产业规模今年将突破3000亿元。 随着AI技术向认知智能跃迁，制造业检测领域迈向智能时代。 近日，一款将机器视觉与人工智能技术相结合的高精密度光伏电池检测系统"星汉AI"在武汉发布，填补 了国内光伏电池多模态智能检测领域的空白。 "星汉AI已获国家发明专利授权，该技术可提升光伏电池设备检测效率12倍以上，缺陷识别准确率达 98.7%，并创建了覆盖25类钙钛矿材料、38种量子点结构的标准数据集。"袁五辉说，目前项目成果已 应用于柔性光伏组件、Micro-LED显示面板等六大领域，推动光伏电池行业检测成本降低40%。 不止于光伏电池产业，智能检测装备已广泛应用于机械、汽车、航空航天、电子、钢铁、石化、纺织、 医药等各行业。2023年2月，工信部等七部门印发《智能检测装备产业发展行动计划（2023～2025 年）》明确，推进人工智能、5G、大数据、云计算等新技术融合应用。 ...