Core Viewpoint - The automotive manufacturing industry is undergoing unprecedented transformation due to the deep integration of robotics technology and intelligent manufacturing, with global investment in smart manufacturing expected to reach $120 billion by 2025, highlighting the importance of intelligent transformation for enhancing core competitiveness [1] Group 1: SmartFit System Overview - The SmartFit automotive door and cover intelligent adjustment system utilizes line laser and dual-camera configurations, achieving a repeatability precision of 0.05mm, capable of identifying various features such as gaps and height differences, suitable for automated adjustments in automotive assembly lines [3] - The system includes modules for door cover adjustment, hinge adjustment, and bolt tightening, maintaining adjustment precision within ±0.3mm, which is superior to conventional industry standards, with a single adjustment cycle of ≤1s and total adjustment time of ≤7s [5][6] Group 2: Precision Control and AI Integration - The precision level of door cover adjustments directly impacts vehicle quality and performance, with conventional automated systems typically achieving precision between ±0.5mm and ±1mm, while SmartFit achieves ±0.3mm, marking a significant improvement [6] - The SmartFit system employs AI algorithms for robust measurement of gaps and surface differences, allowing for optimal fitting of door covers to vehicle bodies without reliance on reference vehicles, enhancing production line flexibility and quality [8] Group 3: Hinge Adjustment and Monitoring - Hinge adjustments utilize a distributed vision system for multi-dimensional error monitoring, enabling real-time measurement of dimensional errors and optimal adjustment calculations, thus improving assembly quality and process stability [10] Group 4: Virtual Debugging and Cost Efficiency - The SmartFit system leverages a self-developed digital twin platform for virtual scene development and model training, utilizing a low-code development approach combined with pre-trained models to enhance development efficiency and reduce deployment costs [12] Group 5: Broader Intelligent Manufacturing Solutions - SmartFit has been successfully implemented in multiple automotive manufacturers, achieving fully automated adjustments for rear and tail doors while meeting production cycle requirements of 76 seconds [14] - The company also offers a range of intelligent manufacturing solutions covering key processes in automotive production, including welding, polishing, and inspection, with innovative technologies such as 3D vision for welding seam recognition and robotic force control for polishing [16][18] Group 6: Future Outlook - The development of robotics technology and intelligent manufacturing is profoundly changing the automotive manufacturing landscape, with a shift from traditional manual operations to automation, digitalization, and intelligence, leading to improved production efficiency and product quality [19][20]

（原标题：AI+工业：易思维冲击"国产机器视觉第一股"） 在轨交运维领域，易思维同样展现出技术迁移能力。其"车对地"线路综合巡检系统通过视觉传感器对轨道、隧道、接触网进行自动化检测，替代 人工巡检；"地对车"车辆综合检测系统则可对入库车辆进行快速故障诊断。这些解决方案已在广州地铁、杭港地铁等项目中落地，标志着易思维 从单一汽车制造向多场景工业智能的延伸。 国产突围与国际巨头的正面交锋 6月5日，上交所正式受理易思维（杭州）科技股份有限公司（以下简称"易思维"）的科创板IPO申请，这家成立仅8年的国家级专精特新"小巨 人"企业拟募资12.14亿元，用于机器视觉产品产业化基地建设、研发中心升级及补充流动资金。此次IPO标志着易思维从技术突破到资本市场的全 面跃升，其背后是国产机器视觉设备在汽车制造领域打破国际垄断、实现进口替代的硬核实力。 从实验室到工业现场的"隐形冠军" 易思维的核心团队源自天津大学精密测试技术及仪器国家重点实验室，创始人郭寅及核心技术成员均深耕机器视觉领域多年。2017年成立后，公 司聚焦汽车制造四大工艺环节——冲压、焊装、涂装、总装，以及电池、压铸等新兴领域，构建了覆盖测量、引导、检测、识别 ...