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研报掘金丨渤海证券:首予虹软科技“增持”评级,深耕AI视觉算法,多曲线驱动增长
Ge Long Hui A P P· 2025-12-09 08:22
格隆汇12月9日|渤海证券研报指出,虹软科技深耕AI视觉算法,多曲线驱动增长。公司专注于计算机 视觉领域,为行业提供算法授权及系统解决方案。移动智能终端视觉解决方案是公司营收主要来源。智 能汽车解决方案作为新兴业务板块,近年呈现高速增长态势。同时公司紧跟多模态AI 与AIGC 行业发展 浪潮,积极布局AI 眼镜及AI 商拍等前沿业务。2025 年前三季度,公司实现归母净利润1.42 亿元,同比 增长60.51%。在智能手机领域,公司已构建起覆盖当前主流机型的视觉人工智能算法产品矩阵。考虑 到公司是全球领先的视觉人工智能企业,未来有望实现多业务场景深度赋能。首次覆盖给予"增持"评 级。 ...
渤海证券研究所晨会纪要-20251209
BOHAI SECURITIES· 2025-12-09 02:49
Fund Research - The market saw a majority of equity indices rise, with the largest increase in the ChiNext Index, which rose by 1.86% during the week from December 1 to December 5, 2025 [2] - Public funds experienced significant inflows, with the first ETF tracking the CSI 300 Quality Index closing its fundraising, and Moer Thread emerging as the biggest winner in the offline allocation results [2] - Various equity fund types performed well, with equity funds averaging a rise of 0.93% and a positive return ratio of 76.27% [3] Company Research: Hongsoft Technology (688088) - Hongsoft Technology specializes in AI visual algorithms, providing algorithm licensing and system solutions, with mobile intelligent terminal visual solutions being the main revenue source [5][6] - The company reported a net profit of 142 million yuan for the first three quarters of 2025, marking a year-on-year increase of 60.51% [6] - The global smartphone shipment reached 923 million units in the first three quarters of 2025, with an AI smartphone penetration rate expected to reach 34% [6] - The smart glasses market saw a shipment of 4.065 million units in the first half of 2025, a 64.2% increase year-on-year, with expectations for the market to exceed 40 million units by 2029 [6] - The automotive sector showed a 12.4% year-on-year increase in sales, with the domestic passenger car market's DMS function penetration rate reaching a historical high of 26.2% in September 2025 [6] - The company’s PSAI product has penetrated multiple e-commerce platforms, serving hundreds of thousands of small businesses and over 300 major apparel brands [7] - Earnings per share (EPS) forecasts for 2025-2027 are 0.63 yuan, 0.85 yuan, and 1.18 yuan, with a 2025 price-to-earnings (PE) ratio of 76.07, which is below the average valuation of comparable companies [7] Industry Research: Light Industry Manufacturing & Textile Apparel - The light industry manufacturing sector outperformed the CSI 300 Index by 0.58 percentage points from December 1 to December 5, 2025, while the textile and apparel sector underperformed by 2.88 percentage points [8][10] - Recent price increases in packaging paper have been noted, with companies like Nine Dragons and others announcing price hikes of 50 yuan per ton [10] - The government is actively engaging in trade discussions with the U.S., which may positively impact export chain companies [10] - The domestic real estate market is under pressure, but recent policies to enhance home purchase subsidies may improve the situation in the medium term [10]
虹软科技(688088):利润加速释放,AI眼镜进展提速
Guotou Securities· 2025-10-30 05:09
Investment Rating - The report maintains a "Buy-A" investment rating for the company, with a 6-month target price of 63.94 CNY, compared to the current stock price of 53.75 CNY [5]. Core Insights - The company reported a revenue of 628 million CNY for the first three quarters of 2025, representing a year-on-year increase of 9.39%. The net profit attributable to shareholders reached 142 million CNY, up 60.51% year-on-year [1]. - The mobile intelligent terminal visual solutions business generated 512 million CNY in revenue for the first three quarters of 2025, a 5.59% increase year-on-year, while the intelligent driving business saw a revenue increase of 31.43% to 105 million CNY [2]. - The gross margin for Q3 2025 was 87.76%, with a net margin of 24.48%, reflecting a year-on-year increase in net margin by 10.96 percentage points [3]. - The AI glasses business is progressing rapidly, with contracts signed with 5-6 AI glasses brands, and the AI commercial photography business has doubled in growth [4]. Summary by Sections Financial Performance - For Q3 2025, the company achieved a revenue of 217 million CNY, a 12.68% increase year-on-year, and a net profit of 53.18 million CNY, up 98.21% year-on-year [1]. - The company’s revenue projections for 2025-2027 are estimated at 997.2 million CNY, 1.226 billion CNY, and 1.506 billion CNY, respectively, with net profits of 241.1 million CNY, 312.3 million CNY, and 409.6 million CNY [9]. Business Segments - The mobile intelligent terminal visual solutions segment is showing steady growth, with Q3 2025 revenue of 172 million CNY, a 12.89% increase year-on-year [2]. - The intelligent driving business is entering a volume production phase, with significant advancements in product development and customer collaborations [2]. Profitability and Margins - The company’s gross margin for Q3 2025 improved, driven by the software-based delivery of intelligent automotive solutions, with long-term gross margin targets expected to remain around 90% [3]. - The sales, management, and R&D expense ratios have decreased, indicating improved operational efficiency [3]. Strategic Initiatives - The company is deepening its engagement in the AI glasses market and enhancing its AI commercial photography services, which have seen increased customer engagement and conversion rates [4].
调研速递|矩子科技接受多家投资者调研,AI算法与半导体业务成关注焦点
Xin Lang Cai Jing· 2025-09-19 13:26
Core Viewpoint - The company held an earnings briefing on September 19, focusing on advancements in AI visual algorithms, semiconductor packaging and testing, technology iteration, humanoid robot layout, and export business growth [1][2]. Group 1: AI Visual Algorithms - The company has fully integrated AI algorithms into its machine vision products, such as AOI, SPI, AXI, and dispensing equipment, leading to significant improvements in product performance and market competitiveness [1]. - In semiconductor packaging, the accuracy of defect detection and false alarm control has notably improved, enhancing the precision of motion control for different PCB substrate states [2]. Group 2: Semiconductor Packaging Business - The company’s semiconductor packaging products focus on appearance defect detection for bonding and post-dicing processes, with small batch shipments already achieved [2]. - The 3D online X-ray inspection equipment (AXI) is currently undergoing validation testing with clients for internal defect detection in power devices, and the company has relevant technological reserves for advanced packaging [2]. Group 3: Technology Iteration - The company has fully adopted its self-developed AI algorithm models, which, combined with traditional algorithms, have enhanced the competitiveness of its machine vision products, leading to a continuous increase in product sales [2]. Group 4: Humanoid Robot Layout - The company possesses 3D structured light technology but has not yet industrialized its humanoid robot layout [2]. Group 5: Export Business Growth - In the first half of the year, the company’s export revenue reached 129 million, a significant increase from 77 million in the same period last year, driven by demand in consumer electronics and semiconductors [2]. - The growth in exports is attributed to market demand changes, global client expansion, and new overseas clients, as well as some domestic clients venturing abroad [2]. Group 6: Other Business Developments - The company’s cable assembly products are utilized in photolithography equipment, and its investment in the Suzhou Chip Dynamics Fund focuses on the semiconductor supply chain, yielding good project returns [2]. - The company’s detection equipment is applicable in the PCB industry, with major clients including well-known companies like Apple and Huawei, and the expansion of downstream client capacity is expected to boost demand for machine vision equipment [2].
虹软科技(688088):利润持续释放,AI眼镜核心受益厂商
HTSC· 2025-08-19 01:55
Investment Rating - The report maintains a "Buy" rating for the company [8] Core Views - The company has shown continuous profit growth, with a significant increase in revenue and net profit driven by its smart automotive business [1][2] - The company is positioned as a leading player in edge AI visual algorithms, benefiting from the growth in smart automotive and new business ventures [1][6] Revenue and Profitability - For the first half of 2025, the company reported revenue of 410 million RMB, a year-on-year increase of 7.73%, and a net profit of 88.54 million RMB, up 44.06% year-on-year [1] - The smart automotive segment saw a revenue increase of 49.09% year-on-year, indicating strong growth potential [2][3] Business Segments - The smart terminal business experienced seasonal fluctuations, with a revenue of 339 million RMB in the first half of 2025, reflecting a year-on-year increase of 2.23% [2] - The smart automotive business is expected to continue its high growth trajectory, with multiple models entering mass production [3] Future Growth Drivers - The AI glasses market is identified as a significant growth opportunity, with global shipments expected to reach 14.5 million units in 2025, a year-on-year increase of 42.5% [4] - The company is actively expanding into AIGC commercial photography and robotics vision sectors, with established partnerships and product offerings [5] Financial Forecast and Valuation - The earnings per share (EPS) forecast for 2025 is 0.71 RMB, with a target price of 61.71 RMB based on a price-to-earnings (PE) ratio of 63 times for 2026 [6][9] - The company is expected to maintain strong revenue growth, with projected revenues of 1.02 billion RMB in 2025, reflecting a year-on-year growth of 25.22% [12]
周专题:追觅科技成立“智显事业部”,拓展显示生态
HUAXI Securities· 2025-08-17 11:05
Investment Rating - Industry rating: Recommended [5] Core Insights - Recently, the company has established the "Smart Display Division" to integrate resources in AI algorithms and precision design, marking its entry into the television, projector, display, and audio markets, with new products set to debut at the IFA in Berlin in September [1][9] - The expansion into the display sector is seen as essential for creating a complete smart home ecosystem, as display terminals are necessary for interaction within the existing smart home product line [1][9] - The company aims to capture market share in the television sector, leveraging national subsidy policies that stimulate demand in the market [1][9] Summary by Sections 1. Weekly Topic: Establishment of "Smart Display Division" - The company is entering the display market, integrating AI and design resources [1][9] - The move is strategic for enhancing its smart home ecosystem [1][9] - The company is positioned to benefit from the competitive landscape against Japanese and Korean brands [1][9] 2. Company Dynamics - Stone Technology reported a revenue of 7.903 billion, up 78.96% year-on-year, with a net profit of 678 million, down 39.55% [11] - Ecovacs reported a revenue of 8.676 billion, up 24.37% year-on-year, with a net profit of 979 million, up 60.84% [11] - Spring Power reported a revenue of 9.855 billion, up 30.90% year-on-year, with a net profit of 1.002 billion, up 41.35% [11] 3. Data Tracking 3.1 Raw Material Data - LME copper price as of August 15, 2025, was down 0.1% from the previous week [12] - LME aluminum price was down 0.3% [12] - DCE plastic price increased by 0.7% [12] - Steel price index increased by 0.1% [12] 3.2 Shipping Prices and Exchange Rates - CCFI composite index decreased by 0.62% as of August 15, 2025 [20] - The exchange rate of USD to RMB remained stable [20] 3.3 Real Estate Data - From January to July 2025, the sales area of commercial housing decreased by 4.0% year-on-year [24] - Housing completion area decreased by 16.5% year-on-year [24] - New housing starts decreased by 19.4% year-on-year [24]
打破室外全域工作「盲区」!广和通双目视觉算法将成就云深处科技机器狗「慧眼」
雷峰网· 2025-05-15 10:13
Core Viewpoint - Guanghe Tong's self-developed binocular vision algorithm significantly enhances positioning accuracy in outdoor scenarios, paving new paths for the intelligent application of domestic quadruped robots [1][2]. Group 1: Technological Innovations - The collaboration between Guanghe Tong and Yundenshu Technology integrates Guanghe Tong's self-developed binocular vision module RV-BOT into Yundenshu's quadruped robot, improving outdoor operational capabilities [2]. - The binocular vision algorithm utilizes multi-modal data fusion, combining visual feature point matching with real-time calibration of satellite positioning data, ensuring centimeter-level continuous positioning even in satellite signal-limited areas [2]. - A deep learning-optimized stereo matching model identifies typical multipath interference patterns, dynamically correcting RTK positioning deviations to enhance robustness in complex environments [3]. Group 2: Edge Computing and Real-time Processing - The algorithm leverages Guanghe Tong's edge AI deployment capabilities, enabling real-time image processing locally, which significantly reduces latency and ensures the efficiency and safety of the robot's responses [5]. Group 3: Application Areas - The quadruped robot equipped with Guanghe Tong's binocular vision algorithm is expected to demonstrate adaptive advantages in various fields, including: - Industrial Inspection: The robot autonomously navigates unstructured terrains, accurately identifying equipment status and enhancing the reliability and coverage of inspection tasks [8]. - Disaster Rescue: The depth perception capabilities of the binocular vision will assist rescue personnel in conducting reconnaissance in post-disaster ruins and hazardous environments [8]. - Urban Services: The algorithm predicts the trajectories of moving obstacles in high-dynamic pedestrian environments, enabling safe autonomous transportation of goods and other operations [8]. Group 4: Future Prospects - The application of Guanghe Tong's binocular vision algorithm provides new insights for outdoor positioning of quadruped robots, with an edge-cloud collaborative architecture supporting computational optimization for running complex visual algorithms under limited power consumption [9]. - The deep coupling of binocular vision and motion control transforms the robot from a single execution tool into an intelligent agent for environmental interaction, with further exploration of visual algorithm integration expected to promote broader applications in various scenarios [9].