Core Insights - The recent G1 robot fighting competition has sparked widespread discussion in the industry, showcasing advancements in robot technology and exceeding market expectations regarding robot stability and impact resistance, potentially leading to a new wave in the robotics sector [1][4] Group 1: Technology and Innovation - The implementation of robot fighting relies on various sensing technologies, including force sensors, tactile sensors, and visual solutions, with visual perception technology being crucial for robots to understand their environment [1][2] - The G1 robots are equipped with dual-depth cameras and 3D LiDAR, enabling 360-degree environmental perception and real-time posture adjustments through multi-sensor fusion technology [2][3] - The current competition still utilizes manual remote control, indicating that the performance of robot teams depends on the collaboration between human operators and robotic participants [3] Group 2: Market Position and Competitive Landscape - Aobi Zhongguang, a leading player in the domestic robot vision market, holds over 70% market share and is one of the earliest companies to focus on robot vision technology [2][4] - The upcoming "Mecha King" competition in December will be the first to feature humanoid robots as the main competitors, promoting the integration of robotics with sports and culture [4][5] - The rise of robot fighting competitions is expected to accelerate technological advancements and commercial applications in the humanoid robot industry, with domestic 3D visual perception technology and multi-dimensional sensing technology playing significant roles [4][5]

Investment Rating - The report maintains a positive investment rating for the 3D vision sector, particularly highlighting the leading company, Orbbec [5][8]. Core Insights - The report emphasizes the significant potential of 3D vision technology across various industries, including industrial automation, logistics, consumer electronics, and biometric recognition [2][4]. - It discusses the advantages of 3D point cloud data in enhancing spatial reasoning capabilities and improving task success rates for robots, outperforming traditional 2D methods [3][72]. - The report identifies key applications of 3D vision technology, such as high-precision scanning, intelligent robotics, smart logistics, and biometric identification [50][58][69]. Summary by Sections 1. Commercial Applications - 3D vision technology is crucial for industrial automation, enabling precise object recognition and manipulation [58]. - The technology is widely applied in high-precision scanning for quality control in manufacturing [50]. 2. 3D Vision Algorithms - 3D point cloud data enhances robots' spatial reasoning and task success rates, demonstrating superior performance compared to RGB and RGB-D methods [3][72]. - The report highlights the importance of 3D sensors in improving robots' perception and decision-making capabilities [4][5]. 3. Investment Recommendations - The report suggests focusing on leading companies in the 3D vision field, particularly Orbbec, due to their innovative technologies and market position [5][8].

Group 1: Financial Performance - The company achieved a revenue of 196.56 million yuan in Q1 2025, representing a year-on-year growth of 27.23% [2] - The net profit attributable to shareholders reached 33.21 million yuan, with a significant year-on-year increase of 208.34% [2] - The net profit excluding non-recurring gains and losses was 31.46 million yuan, showing a year-on-year growth of 235.72% [2] - The continuous growth in net profit over four consecutive quarters indicates a robust development trend [2] Group 2: Market Drivers - Revenue growth in Q1 2025 was primarily driven by the recovery in consumer electronics demand, particularly in mobile phones, increased demand for AI servers, and the rising penetration rate of new energy vehicles [2] - The improvement in net profit is attributed to a higher gross margin, with an increasing proportion of high-end products contributing to revenue [2] Group 3: R&D and Innovation - The company established the 2025 Laboratory to develop foundational algorithm models for industrial AI, focusing on self-adjusting capabilities of equipment [2] - R&D investment as a percentage of revenue for 2023, 2024, and Q1 2025 was 10.06%, 9.12%, and 9.88% respectively [3] - As of December 31, 2024, the company held 212 patents, with 18 new invention patents and 30 utility model patents granted in 2024 [3] Group 4: Product Development - The company is advancing in the development of SIC wafer aging test equipment and SIC KGD sorting equipment, which are essential for testing the long-term stability of third-generation semiconductor chips [3] - The focus for 2025 includes enhancing R&D capabilities, optimizing team structures, and launching new products targeting SIP and semiconductor packaging markets [3]

产品布局方面，在SIP封装，半导体封测及汽车电子领域的交付取得了新进展；面向先进封装及半导体 行业储备了多项核心产品，如第三代半导体领域的SIC晶圆老化设备及SICKGD分选设备；成功开拓光 通讯行业应用场景，推出800G光模块自动化线体。 对于2025年的经营计划，凯格精机表示，公司仍要坚持"强攻击抓机会"，积极拥抱市场的变化，持续提 升市场份额。同时，基于中长期的发展战略，坚定投入，为公司持续增长打下坚实的基础。在内部运营 方面，公司会持续推进精益与高效运营，坚持向流程要效率，向创新要利润，向管理要效益。（文穗） 校对：陶谦 年报披露，公司积极践行"提质增效"，坚持开源节流，通过研发创新、产品拓展、管理优化、人才培养 等方面多措并举，不断提升经营质量。 研发创新方面，公司研发中心进行了多项技术创新与应用，如将AI视觉模型应用于封装设备中的芯片 检测及缺陷检测、点胶机的胶点检测、植球机的缺陷检测；将3D视觉应用于五轴点胶机的胶路引导与 检测环节，提高了点胶的精度、稳定性和检测的效率；研发并储备了先进封装领域"印刷+植球+检测 +补球"的整线技术。报告期内，新增授权发明专利18项、实用新型专利30项，并与华为 ...

问题在于，基于显示高斯单元的表示方式，尽管可以高效溅射和光栅化，其密集化和优化过程却往往会生成冗余的高斯点，导致单个重建场景 可能包含数百万个高斯点。 这不仅 降低了训练和渲染速度（本可能更快），还导致显著的内存消耗 。 现在，来自上海AI Lab的研究团队提出 MaskGaussian ， 将掩码融合进光栅化过程，首次为被使用和未被使用的高斯同时保留梯度，在剪 枝高斯的同时，MaskGaussian极大限度地保持了重建质量，提高了训练速度和减小内存需求 。 MaskGaussian团队 投稿 量子位 | 公众号 QbitAI 三维高斯泼溅（3D Gaussian Splatting）使得实时高质量渲染成为可能，是当前3D视觉领域最常用的算法之一。 △ 与3DGS相比，MaskGaussian在不影响重建质量的情况下减少高斯点数 对冗余高斯点进行剪枝，目前主要有两种方法： 第一类方法基于手工设计的重要性评分，移除评分低于预设阈值的高斯点。这类方法通常需要扫描所有训练图像以计算重要性评分， 因此剪枝只能在训练期间执行一次或两次。 第二类方法使用可学习的掩码，将其与高斯点的属性相乘以接受梯度。尽管这种方法允许通过 ...