（原标题：工业质检迎来具身智能时代，国产化进程加速） 21世纪经济报道记者曹恩惠、实习生朱泓慧 8月19日晚间，一场时长不过40分钟的新品发布会，却在国内工业质检领域留下浓墨重彩的一笔——AOI（自动光学检测）专有设备制造商中科慧 远发布了首款工业具身质检机器人CASIVIBOT。 在中科慧远总经理张武杰看来，这是"工业质检范式的转变"。 张武杰介绍，与市面上多数依然停留在单一视觉检测或机械臂分拣的尝试不同，CASIVIBOT是一个能模仿人类质检员动作、能理解缺陷本质、还 能与群体协同进化的具身智能体。具体而言，该机器人依托"手-眼-脑"协同的技术架构，实现工业产线的灵活操作——"眼"由三组相机组成的多光 谱感知系统，可进行大视野扫描与微米级精准检测，支持不同材质、复杂曲面及高反光工件的识别需求；"手"是机械臂与可切换的灵巧夹具组 合，模拟人类手臂的灵活动作，并可通过轨迹规划算法自主避障和调节操作路径；"脑"则是基于中科慧远在工业质检场景积累的工程检验经验， 自主研发"慧脑"AI平台，具有垂直行业大模型及百万级精标注缺陷样本数据库，具备行业内类间小样本迁移能力，可通过语言描述引导识别，实 现多模态融合检测。 ...

Core Insights - The article discusses the transformative impact of AI and data analytics on various industries, particularly in sports training and rehabilitation, highlighting the shift from experience-driven training to data-driven methodologies [3][4][5]. Group 1: AI in Sports Training - The integration of advanced technologies such as SIMI motion capture systems and high-speed cameras in table tennis training is revolutionizing athlete performance analysis by providing real-time data on over a hundred metrics [3]. - AI is redefining the training landscape by converting intuitive skills of top athletes into quantifiable and transferable intelligent assets, marking the beginning of a "digital dissection" era in sports [3][4]. Group 2: Cross-Industry Applications - The combination of sensor arrays, edge computing, and digital twin technology is reshaping the smart transformation pathways across multiple industries, including automotive and agriculture [6]. - The AI training systems' architecture reflects a shift towards end-to-end delivery capabilities, with a focus on integrating hardware, algorithms, and industry expertise to meet customer needs [7]. Group 3: AI Commercialization Challenges - The article highlights the tension between specializing in vertical scenarios versus developing horizontal capabilities in AI commercialization, emphasizing the importance of industry-specific knowledge for effective application [8]. - The next three years are expected to see the emergence of industry-specific models driven by strong demand for precision decision-making and data security concerns [9]. Group 4: Investment Strategy - The investment logic of Haier Capital is based on a collaborative model that promotes AI's value creation in sectors like healthcare and smart technology through ecosystem synergy [9].

在制造业智能化升级的浪潮中，AI工业缺陷检测技术正成为推动产业变革的核心驱动力。当前，随着边 缘计算与人工智能的深度融合，AI检测技术通过高精度、高效率的实时分析，显著提升了传统制造中的 缺陷识别能力，有效破解了人工检测效率低、漏检率高的行业痛点。 AI工业缺陷检测当前的痛点： 1.数据质量与数量不足： 缺陷样本稀缺、数据集不平衡、标注质量与一致性、数据噪声与多样性不足等 问题； 2.模型性能与泛化能力限制： 泛化能力不足、复杂缺陷检测困难等问题。 本期我们推出12家基于AI工业缺陷检测的优秀企业，其凭借机器视觉、光学检测、声学检测技术、X-Ray 在线检测等技术覆盖多个工业场景，为工业生产提供高精度缺陷检测方案，助力企业提升产品质量、降 低成本。如对精选项目感兴趣，可扫码申请进行委托联系！ | 项目名 | 项目介绍 | 融资轮次 | | --- | --- | --- | | 感图科技 | 高端制造领域智能化品质管控与 | C++轮 | | | 良率管理供应商 | | | 二十八 | 人工智能解决方案及系统平台提供商 | C+轮 | | 阿丘科技 | 工业AI视觉及智能分析服务服务商 | B+轮 | | 无 ...