Core Viewpoint - The company Koli (002892) is experiencing notable developments, including a planned share buyback that may influence market sentiment, despite the absence of specific future event announcements [1] Financial Performance - For the first three quarters of 2025, the company reported a revenue of 1.385 billion yuan, representing a year-on-year increase of 13.16% [1] - The net profit attributable to the parent company was 45.32 million yuan, showing a year-on-year decline of 35.91% [1] Stock Performance - As of February 9, 2026, the company's stock price closed at 12.70 yuan per share, with a net outflow of main funds amounting to 2.2821 million yuan on that day [1] - Year-to-date, the stock has experienced a cumulative decline of 5.37% [1]

Core Viewpoint - The company Keli'er (002892.SZ) confirmed that its servo motors are widely used in various fields, including small CNC machine tools, which are popular abroad [1] Group 1: Company Applications - The company's servo motors are applied in robotics and industrial automation [1] - The company's servo motors are also utilized in lithium battery equipment and photovoltaic equipment [1] - The company's stepper motors are extensively used in small CNC machine tools [1]

Core Viewpoint - The company has recently obtained a patent for a machine vision-based method for identifying defects in motor appearances, which enhances its intellectual property protection and innovation capabilities [1][2]. Patent Basic Information - The patent involves a method that segments the motor casing into different components and constructs recognition models to identify various defect types and their images [1]. - The method allows for the assessment of recognition accuracy for different local images of the same component, providing comprehensive reference data for relevant personnel [1]. Impact of Patent Acquisition - The acquisition of this patent strengthens the company's protection of intellectual property, fosters a continuous innovation mechanism, and enhances brand and market recognition [2]. - The patent is expected to further improve the company's core competitiveness, although it will not have a significant impact on the company's short-term financial status or operational performance [2].

Core Viewpoint - The company has recently obtained an invention patent certificate from the National Intellectual Property Administration, which is expected to enhance its intellectual property protection and core competitiveness [1][2]. Patent Basic Information - The patent pertains to a method for identifying appearance defects in electric motors based on machine vision, involving the segmentation of the motor shell into different components and constructing recognition models to assess defect types and accuracy [2]. Impact of Patent Acquisition - The acquisition of this patent is expected to strengthen the company's protection of intellectual property, foster a continuous innovation mechanism, and enhance brand and market recognition, thereby improving core competitiveness. However, it is noted that this patent will not have a significant impact on the company's recent financial status or operational performance [2].

Group 1 - The company, Koli'er, announced that it has recently obtained an invention patent certificate from the National Intellectual Property Administration, with the patent titled "A Machine Vision-Based Method for Identifying Appearance Defects in Motors" [2]

Core Viewpoint - The company Koliar (002892.SZ) has recently obtained an invention patent from the National Intellectual Property Administration for a method of identifying appearance defects in motors based on machine vision, which enhances defect recognition accuracy and provides comprehensive reference data for relevant personnel [1]. Group 1: Patent Details - The patent is titled "A Method for Identifying Appearance Defects in Motors Based on Machine Vision" with patent number ZL20251108 4869.3 [1]. - The method involves dividing the motor casing into different components and constructing a first recognition model based on the appearance images of these components [1]. - The first recognition model is used to obtain local images of each component in various overall images, identifying different types of defects and their corresponding images [1]. Group 2: Model Construction - A second recognition model is constructed using the first model to assess the recognition accuracy of different local images of the same component [1]. - A third recognition model is developed by combining the second model with a set of recognition parameters for the corresponding local images [1]. - The second and third recognition models work together to identify defects in the motor casing and evaluate the accuracy of the recognition results [1].

Core Viewpoint - The company Koliar (002892.SZ) has recently obtained a patent for a machine vision-based method for identifying appearance defects in electric motors, which enhances its capabilities in the motor identification technology sector [1] Group 1: Patent Details - The patent is titled "A Machine Vision-Based Method for Identifying Appearance Defects in Electric Motors" and has been issued by the National Intellectual Property Administration [1] - The patent number is ZL20251108 4869.3, indicating its official registration [1] Group 2: Methodology - The method involves segmenting the motor casing into different components and constructing a first recognition model based on the appearance images of these components [1] - The first recognition model is used to obtain local images of each component within various overall images, identifying different types of defects and their corresponding images [1] - A second recognition model is built in conjunction with the first to assess the recognition accuracy of different local images of the same component [1] - A third recognition model is developed using the parameters from the second and third models to evaluate the defect recognition accuracy of the motor casing [1] - This approach allows for simultaneous acquisition of defect recognition results and their accuracy, providing comprehensive references for relevant personnel [1]

证券代码：002892 证券简称：科力尔 公告编号：2026-001 一、专利基本情况 二、专利摘要 一种基于机器视觉的电机外观缺陷识别方法，涉及电机识别技术领域；将电 机外壳划分为不同的组成部分，根据不同组成部分及其外观图像构建第一识别模 型，利用第一识别模型获取各个组成部分在不同整体图像中的局部图像，获取电 机外壳的不同缺陷类型及其缺陷图像，结合第一识别模型构建第二识别模型，利 用第二识别模型获取同一组成部分的不同局部图像的识别准确度，并结合对应局 部图像的识别参数集构建第三识别模型，利用第二识别模型和第三识别模型对电 机外壳进行缺陷识别并获取其评估准确度；能够在对电机外壳进行缺陷识别时， 同时获取其缺陷识别结果的准确度，有利于为相关人员提供多方面的参考。 三、取得专利证书对公司的影响 以上专利的取得，有利于公司加强对自主知识产权的保护，形成持续创新机 制，提高公司品牌和市场知名度，从而进一步提升公司的核心竞争力。本专利的 获得不会对公司近期的财务状况、生产经营产生重大影响。 科力尔电机集团股份有限公司 关于公司取得发明专利证书的公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假记载 ...

Market Overview - The machinery sector experienced a slight decline of 0.04% on the previous trading day, with China Electric Motor leading the losses [1] - The Shanghai Composite Index closed at 4102.2, up by 0.85%, while the Shenzhen Component Index closed at 14156.27, up by 0.21% [1] Stock Performance - Key stocks in the machinery sector showed varied performance, with Jiadian Co. rising by 3.37% to a closing price of 14.74, and China Electric Motor falling by 3.32% to 30.54 [1][2] - The trading volume and turnover for notable stocks included: - Jiadian Co.: 155,500 shares, turnover of 228 million yuan - Zhaowei Electromechanical: 84,300 shares, turnover of 1.038 billion yuan - China Electric Motor: 153,000 shares, turnover of 479 million yuan [1][2] Capital Flow - The machinery sector saw a net outflow of 154 million yuan from institutional investors, while retail investors contributed a net inflow of 57.18 million yuan [2] - Notable capital flows for specific stocks included: - Zhaowei Electromechanical: net inflow of 1.21 billion yuan from institutional investors - China Electric Motor: net outflow of 39.74 million yuan from institutional investors [3]

Market Overview - The electric motor sector experienced a decline of 1.21% on the previous trading day, with Huayang Intelligent leading the drop [1] - The Shanghai Composite Index closed at 4151.24, up by 0.27%, while the Shenzhen Component Index closed at 14342.9, up by 0.09% [1] Stock Performance - Notable gainers in the electric motor sector included: - China Electric Motor (603988) with a closing price of 38.13, up by 10.01% and a trading volume of 151,300 shares, totaling 567 million yuan [1] - Fangzheng Electric (002196) closed at 18.25, up by 4.95% with a trading volume of 1,320,200 shares, totaling 2.327 billion yuan [1] - Conversely, significant decliners included: - Huayang Intelligent (301502) which closed at 44.79, down by 5.61% with a trading volume of 22,100 shares, totaling 101 million yuan [2] - Yifan Transmission (301023) closed at 48.39, down by 4.25% with a trading volume of 59,000 shares, totaling 288 million yuan [2] Capital Flow - The electric motor sector saw a net outflow of 671 million yuan from major funds, while retail investors contributed a net inflow of 605 million yuan [2] - The detailed capital flow for selected stocks showed: - China Electric Motor had a net inflow of 41.27 million yuan from major funds, while retail investors had a net outflow of 8.35 million yuan [3] - Fangzheng Electric experienced a net inflow of 25.17 million yuan from major funds, with a net outflow of 1.65 million yuan from retail investors [3]